diff --git a/LOG.md b/LOG.md index 767dcb7..aa70547 100644 --- a/LOG.md +++ b/LOG.md @@ -22,3 +22,7 @@ Legenda de autores: | 2026-06-15 | 18:11 | VTO | Agrupou artefatos do relatório de ciclo em subpasta própria | `pre_process/relatorio_ciclo_inspecoes_c105_2805_2026-06-15/`; `README.md`; `docs/about.md` | Removido `.gitkeep` de `pre_process/` porque a pasta deixou de estar vazia; `.gitkeep` de `processed/` foi mantido. | | 2026-06-15 | 18:33 | VTO | Comparou ICA 66-31/2023 com relatório de ciclo C-105 2805 | `raw/ICA 66-31 2023.pdf`; `pre_process/comparacao_ica_66_31_c105_2023/` | A comparação usou o Anexo D textual do PDF completo da ICA. | | 2026-06-15 | 19:01 | VTO | Reorganizou dados em `db/` e adicionou protótipo OAMRP | `db/`; `software/oamrp_v1.py`; `.gitignore`; `README.md`; `CONTEXTO.md`; `docs/about.md`; `docs/authors.md`; `docs/changelog.md` | Commit `1131267`; diretórios `raw/`, `pre_process/` e `processed/` movidos para `db/`; modelo MIP inicial em PuLP adicionado em `software/`. | +| 2026-06-15 | 19:56 | VTO | Pre-processou a Planilha 2025 para registro de voo | `db/raw/Planilha 2025.xlsx`; `db/pre_process/registro_voo_2025/`; `db/processed/registro_voo_2025.csv` | Extraidos 1421 registros; colunas `REAL` ate `COM2` descartadas; 53 linhas cruzam 00Z; 1 registro sem OM e 9 sem pousos preservados para revisao. | +| 2026-06-15 | 19:56 | VTO | Consolidou transicoes `ROTA` do registro de voo 2025 | `db/pre_process/registro_voo_2025/preprocess_planilha_2025.py`; `db/processed/registro_voo_2025_consolidado.csv` | `ROTA` tratado como marcador de transicao; 1421 linhas originais viraram 1268 trechos consolidados; 135 trechos com `ROTA` foram convertidos para origem/destino reais. | +| 2026-06-15 | 19:56 | VTO | Validou o registro de voo 2025 consolidado | `db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md`; `db/processed/registro_voo_2025_consolidado.csv` | Sem duplicidades, sem divergencias de duracao e sem sobreposicoes temporais; pendentes 1 registro sem OM, 1 trecho com pousos zero e 3 quebras de continuidade espacial. | +| 2026-06-15 | 19:56 | VTO | Removeu registro isolado da aeronave 2806 | `db/pre_process/registro_voo_2025/preprocess_planilha_2025.py`; `db/processed/registro_voo_2025.csv`; `db/processed/registro_voo_2025_consolidado.csv` | Linha original 793 excluida dos artefatos processados; registro final passou para 1420 linhas e consolidado para 1267 trechos; nao ha mais registro sem OM. | diff --git a/README.md b/README.md index 19e8431..f42f9d8 100644 --- a/README.md +++ b/README.md @@ -162,3 +162,23 @@ software/oamrp_v1.py ``` Esse processamento extraiu 18 inspeções e separou campos como inspeção, referência, vencimento, TSO, letra, nível, duração, intervalo por horas de voo, meses contínuos e pousos. +## Atualizacao - registro de voo 2025 + +A `Planilha 2025.xlsx` foi pre-processada a partir de `db/raw/` sem alterar o arquivo original. + +Arquivos gerados: + +```text +db/pre_process/registro_voo_2025/preprocess_planilha_2025.py +db/pre_process/registro_voo_2025/registro_voo_2025_limpo.csv +db/pre_process/registro_voo_2025/registro_voo_2025_limpo.xlsx +db/pre_process/registro_voo_2025/registro_voo_2025_consolidado.csv +db/pre_process/registro_voo_2025/missoes_oamrp_2025.csv +db/pre_process/registro_voo_2025/missoes_oamrp_2025_consolidado.csv +db/pre_process/registro_voo_2025/resumo_registro_voo_2025.json +db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md +db/processed/registro_voo_2025.csv +db/processed/registro_voo_2025_consolidado.csv +``` + +O consolidado trata `ROTA` como marcador de transicao, nao como localidade operacional, e remove a linha original 793 da aeronave 2806 dos artefatos processados. diff --git a/db/pre_process/registro_voo_2025/missoes_oamrp_2025.csv b/db/pre_process/registro_voo_2025/missoes_oamrp_2025.csv new file mode 100644 index 0000000..ea2d724 --- /dev/null +++ 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b/db/pre_process/registro_voo_2025/preprocess_planilha_2025.py new file mode 100644 index 0000000..16ee98c --- /dev/null +++ b/db/pre_process/registro_voo_2025/preprocess_planilha_2025.py @@ -0,0 +1,509 @@ +""" +Pre-processa a planilha bruta de voos de 2025. + +Entrada: + db/raw/Planilha 2025.xlsx + +Saidas: + db/pre_process/registro_voo_2025/registro_voo_2025_limpo.xlsx + db/pre_process/registro_voo_2025/registro_voo_2025_limpo.csv + db/pre_process/registro_voo_2025/missoes_oamrp_2025.csv + db/pre_process/registro_voo_2025/resumo_registro_voo_2025.json + db/processed/registro_voo_2025.csv +""" + +from __future__ import annotations + +import csv +import json +from collections import Counter +from datetime import date, datetime, time, timedelta +from pathlib import Path +from typing import Any + +import openpyxl + + +ANO = 2025 +BASE_DIR = Path(__file__).resolve().parents[3] +RAW_PATH = BASE_DIR / "db" / "raw" / "Planilha 2025.xlsx" +PREPROCESS_DIR = BASE_DIR / "db" / "pre_process" / "registro_voo_2025" +PROCESSED_DIR = BASE_DIR / "db" / "processed" + +LIMPO_XLSX = PREPROCESS_DIR / "registro_voo_2025_limpo.xlsx" +LIMPO_CSV = PREPROCESS_DIR / "registro_voo_2025_limpo.csv" +CONSOLIDADO_CSV = PREPROCESS_DIR / "registro_voo_2025_consolidado.csv" +MISSOES_CSV = PREPROCESS_DIR / "missoes_oamrp_2025.csv" +MISSOES_CONSOLIDADAS_CSV = PREPROCESS_DIR / "missoes_oamrp_2025_consolidado.csv" +RESUMO_JSON = PREPROCESS_DIR / "resumo_registro_voo_2025.json" +PROCESSED_CSV = PROCESSED_DIR / "registro_voo_2025.csv" +PROCESSED_CONSOLIDADO_CSV = PROCESSED_DIR / "registro_voo_2025_consolidado.csv" + +MES_MAP = { + "JAN": 1, + "FEV": 2, + "MAR": 3, + "ABR": 4, + "MAI": 5, + "JUN": 6, + "JUL": 7, + "AGO": 8, + "SET": 9, + "OUT": 10, + "NOV": 11, + "DEZ": 12, +} +MES_ABBR = {numero: nome for nome, numero in MES_MAP.items()} +LINHAS_ORIGEM_EXCLUIDAS = {793} + +COLUNAS_REGISTRO = [ + "id_registro", + "linha_origem", + "data", + "data_iso", + "mes", + "mes_numero", + "om", + "aeronave", + "etapa", + "localidade_dep", + "localidade_arr", + "horario_z_dep", + "horario_z_arr", + "partida_utc", + "chegada_utc", + "tempo_voo", + "tempo_voo_min", + "segmento", + "pousos", + "missao", + "periodo", + "cruza_meia_noite", +] + +COLUNAS_OAMRP = [ + "id", + "orig", + "dest", + "partida_utc", + "chegada_utc", + "prioridade", +] + +COLUNAS_CONSOLIDADAS = [ + "id_registro", + "linhas_origem", + "data", + "data_iso", + "mes", + "mes_numero", + "om", + "aeronave", + "etapa_inicio", + "etapa_fim", + "localidade_dep", + "localidade_arr", + "horario_z_dep", + "horario_z_arr", + "partida_utc", + "chegada_utc", + "tempo_voo", + "tempo_voo_min", + "segmento_inicio", + "segmento_fim", + "pousos", + "missao", + "periodo", + "cruza_meia_noite", + "qtd_linhas_originais", + "tem_rota_intermediaria", +] + + +def texto_limpo(valor: Any) -> str: + if valor is None: + return "" + return str(valor).strip() + + +def normalizar_mes(valor: Any) -> str: + texto = texto_limpo(valor).upper().replace(".", "") + return texto + + +def parse_data(valor_data: Any, valor_mes: Any) -> date: + if isinstance(valor_data, datetime): + return valor_data.date() + if isinstance(valor_data, date): + return valor_data + + texto = texto_limpo(valor_data).lower().replace(".", "") + if "/" not in texto: + raise ValueError(f"Data invalida: {valor_data!r}") + dia_txt, mes_txt = texto.split("/", 1) + mes_key = normalizar_mes(mes_txt or valor_mes) + if mes_key not in MES_MAP: + raise ValueError(f"Mes invalido: data={valor_data!r}, mes={valor_mes!r}") + return date(ANO, MES_MAP[mes_key], int(dia_txt)) + + +def minutos_do_dia(valor: Any) -> tuple[int, int]: + """Retorna (minutos no dia, deslocamento em dias informado pelo Excel).""" + if isinstance(valor, datetime): + return valor.hour * 60 + valor.minute, 0 + if isinstance(valor, time): + return valor.hour * 60 + valor.minute, 0 + if isinstance(valor, timedelta): + total_min = int(round(valor.total_seconds() / 60)) + return total_min % (24 * 60), total_min // (24 * 60) + if isinstance(valor, (int, float)): + total_min = int(round(float(valor) * 24 * 60)) + return total_min % (24 * 60), total_min // (24 * 60) + + texto = texto_limpo(valor) + if ":" in texto: + partes = texto.split(":") + return int(partes[0]) * 60 + int(partes[1]), 0 + raise ValueError(f"Horario invalido: {valor!r}") + + +def minutos_duracao(valor: Any) -> int: + if isinstance(valor, datetime): + return valor.hour * 60 + valor.minute + if isinstance(valor, time): + return valor.hour * 60 + valor.minute + if isinstance(valor, timedelta): + return int(round(valor.total_seconds() / 60)) + if isinstance(valor, (int, float)): + return int(round(float(valor) * 24 * 60)) + + texto = texto_limpo(valor) + if ":" in texto: + horas, minutos = texto.split(":", 1) + return int(horas) * 60 + int(minutos) + raise ValueError(f"Duracao invalida: {valor!r}") + + +def hhmm(minutos: int) -> str: + minutos = minutos % (24 * 60) + return f"{minutos // 60:02d}:{minutos % 60:02d}" + + +def duracao_hhmm(minutos: int) -> str: + return f"{minutos // 60:02d}:{minutos % 60:02d}" + + +def iso_utc(data_voo: date, minutos: int, deslocamento_dias: int = 0) -> str: + data_hora = datetime.combine(data_voo, time()) + timedelta( + days=deslocamento_dias, + minutes=minutos, + ) + return data_hora.isoformat(timespec="minutes") + ":00Z" + + +def atualizar_datas_do_registro( + registro: dict[str, Any], + partida: datetime, + chegada: datetime, +) -> None: + data_voo = partida.date() + registro["data"] = data_voo.strftime("%d/%m") + registro["data_iso"] = data_voo.isoformat() + registro["mes_numero"] = data_voo.month + registro["mes"] = MES_ABBR[data_voo.month] + registro["partida_utc"] = partida.isoformat(timespec="minutes").replace("+00:00", "") + ":00Z" + registro["chegada_utc"] = chegada.isoformat(timespec="minutes").replace("+00:00", "") + ":00Z" + registro["cruza_meia_noite"] = chegada.date() > partida.date() + + +def id_registro(linha: dict[str, Any]) -> str: + om = texto_limpo(linha["om"]) or "SEMOM" + etapa = texto_limpo(linha["etapa"]) or "SEMETAPA" + return f"RV2025_OM{om}_E{etapa}_L{linha['linha_origem']}" + + +def linha_tem_voo(ws: openpyxl.worksheet.worksheet.Worksheet, row: int) -> bool: + return any(ws.cell(row, col).value not in (None, "") for col in range(1, 13)) + + +def extrair_registros() -> list[dict[str, Any]]: + wb = openpyxl.load_workbook(RAW_PATH, data_only=True) + ws = wb.active + + registros: list[dict[str, Any]] = [] + for row in range(4, ws.max_row + 1): + if row in LINHAS_ORIGEM_EXCLUIDAS: + continue + if not linha_tem_voo(ws, row): + continue + + data_voo = parse_data(ws.cell(row, 1).value, ws.cell(row, 2).value) + mes = normalizar_mes(ws.cell(row, 2).value) + dep_min, dep_offset = minutos_do_dia(ws.cell(row, 8).value) + arr_min, arr_offset_excel = minutos_do_dia(ws.cell(row, 9).value) + arr_offset = max(arr_offset_excel, 1 if arr_min <= dep_min else 0) + tempo_min = minutos_duracao(ws.cell(row, 10).value) + + registro = { + "linha_origem": row, + "data": data_voo.strftime("%d/%m"), + "data_iso": data_voo.isoformat(), + "mes": mes, + "mes_numero": MES_MAP.get(mes, ""), + "om": ws.cell(row, 3).value, + "aeronave": ws.cell(row, 4).value, + "etapa": ws.cell(row, 5).value, + "localidade_dep": texto_limpo(ws.cell(row, 6).value).upper(), + "localidade_arr": texto_limpo(ws.cell(row, 7).value).upper(), + "horario_z_dep": hhmm(dep_min), + "horario_z_arr": hhmm(arr_min), + "partida_utc": iso_utc(data_voo, dep_min, dep_offset), + "chegada_utc": iso_utc(data_voo, arr_min, arr_offset), + "tempo_voo": duracao_hhmm(tempo_min), + "tempo_voo_min": tempo_min, + "segmento": ws.cell(row, 11).value, + "pousos": ws.cell(row, 12).value, + "missao": texto_limpo(ws.cell(row, 35).value).upper(), + "periodo": texto_limpo(ws.cell(row, 36).value).upper(), + "cruza_meia_noite": arr_offset > dep_offset, + } + registro["id_registro"] = id_registro(registro) + registros.append(registro) + + corrigir_continuidade_temporal(registros) + return registros + + +def corrigir_continuidade_temporal(registros: list[dict[str, Any]]) -> None: + grupos: dict[tuple[str, str], list[dict[str, Any]]] = {} + for registro in registros: + chave = (texto_limpo(registro["om"]), texto_limpo(registro["aeronave"])) + grupos.setdefault(chave, []).append(registro) + + for linhas in grupos.values(): + linhas.sort(key=lambda registro: registro["linha_origem"]) + chegada_anterior: datetime | None = None + for registro in linhas: + partida = parse_iso_utc(registro["partida_utc"]) + chegada = parse_iso_utc(registro["chegada_utc"]) + while chegada_anterior is not None and partida < chegada_anterior: + partida += timedelta(days=1) + chegada += timedelta(days=1) + atualizar_datas_do_registro(registro, partida, chegada) + chegada_anterior = chegada + + +def escrever_csv(caminho: Path, colunas: list[str], linhas: list[dict[str, Any]]) -> None: + with caminho.open("w", newline="", encoding="utf-8-sig") as arquivo: + escritor = csv.DictWriter(arquivo, fieldnames=colunas) + escritor.writeheader() + escritor.writerows(linhas) + + +def escrever_xlsx(caminho: Path, colunas: list[str], linhas: list[dict[str, Any]]) -> None: + wb = openpyxl.Workbook() + ws = wb.active + ws.title = "registro_voo_2025" + ws.append(colunas) + for linha in linhas: + ws.append([linha[coluna] for coluna in colunas]) + ws.freeze_panes = "A2" + ws.auto_filter.ref = ws.dimensions + for column_cells in ws.columns: + letter = column_cells[0].column_letter + max_len = max(len(texto_limpo(cell.value)) for cell in column_cells) + ws.column_dimensions[letter].width = min(max(max_len + 2, 10), 28) + wb.save(caminho) + + +def preparar_oamrp(registros: list[dict[str, Any]]) -> list[dict[str, Any]]: + linhas = [] + for registro in registros: + linhas.append( + { + "id": registro["id_registro"], + "orig": registro["localidade_dep"], + "dest": registro["localidade_arr"], + "partida_utc": registro["partida_utc"], + "chegada_utc": registro["chegada_utc"], + "prioridade": 1, + } + ) + return linhas + + +def toca_rota(registro: dict[str, Any]) -> bool: + return "ROTA" in {registro["localidade_dep"], registro["localidade_arr"]} + + +def parse_iso_utc(valor: str) -> datetime: + return datetime.fromisoformat(valor.replace("Z", "+00:00")) + + +def consolidar_grupo(grupo: list[dict[str, Any]]) -> dict[str, Any]: + primeiro = grupo[0] + ultimo = grupo[-1] + tempo_total = sum(int(registro["tempo_voo_min"]) for registro in grupo) + pousos_total = sum(int(registro["pousos"] or 0) for registro in grupo) + missoes = sorted({registro["missao"] for registro in grupo if registro["missao"]}) + periodos = sorted({registro["periodo"] for registro in grupo if registro["periodo"]}) + linhas = [str(registro["linha_origem"]) for registro in grupo] + cruza_meia_noite = parse_iso_utc(ultimo["chegada_utc"]).date() > parse_iso_utc( + primeiro["partida_utc"] + ).date() + + return { + "id_registro": f"{primeiro['id_registro']}_C{ultimo['linha_origem']}", + "linhas_origem": ";".join(linhas), + "data": primeiro["data"], + "data_iso": primeiro["data_iso"], + "mes": primeiro["mes"], + "mes_numero": primeiro["mes_numero"], + "om": primeiro["om"], + "aeronave": primeiro["aeronave"], + "etapa_inicio": primeiro["etapa"], + "etapa_fim": ultimo["etapa"], + "localidade_dep": primeiro["localidade_dep"], + "localidade_arr": ultimo["localidade_arr"], + "horario_z_dep": primeiro["horario_z_dep"], + "horario_z_arr": ultimo["horario_z_arr"], + "partida_utc": primeiro["partida_utc"], + "chegada_utc": ultimo["chegada_utc"], + "tempo_voo": duracao_hhmm(tempo_total), + "tempo_voo_min": tempo_total, + "segmento_inicio": primeiro["segmento"], + "segmento_fim": ultimo["segmento"], + "pousos": pousos_total, + "missao": ";".join(missoes), + "periodo": ";".join(periodos), + "cruza_meia_noite": cruza_meia_noite, + "qtd_linhas_originais": len(grupo), + "tem_rota_intermediaria": any(toca_rota(registro) for registro in grupo), + } + + +def consolidar_transicoes_rota(registros: list[dict[str, Any]]) -> list[dict[str, Any]]: + grupos: dict[tuple[str, str], list[dict[str, Any]]] = {} + for registro in registros: + chave = (texto_limpo(registro["om"]), texto_limpo(registro["aeronave"])) + grupos.setdefault(chave, []).append(registro) + + consolidados: list[dict[str, Any]] = [] + for chave in sorted(grupos): + linhas = sorted( + grupos[chave], + key=lambda registro: (parse_iso_utc(registro["partida_utc"]), registro["linha_origem"]), + ) + idx = 0 + while idx < len(linhas): + atual = linhas[idx] + if not toca_rota(atual): + consolidados.append(consolidar_grupo([atual])) + idx += 1 + continue + + grupo = [atual] + idx += 1 + while ( + idx < len(linhas) + and toca_rota(linhas[idx]) + and grupo[-1]["localidade_arr"] == linhas[idx]["localidade_dep"] + ): + grupo.append(linhas[idx]) + idx += 1 + if grupo[-1]["localidade_arr"] != "ROTA": + break + consolidados.append(consolidar_grupo(grupo)) + + return sorted(consolidados, key=lambda registro: parse_iso_utc(registro["partida_utc"])) + + +def preparar_oamrp_consolidado(registros: list[dict[str, Any]]) -> list[dict[str, Any]]: + linhas = [] + for registro in registros: + linhas.append( + { + "id": registro["id_registro"], + "orig": registro["localidade_dep"], + "dest": registro["localidade_arr"], + "partida_utc": registro["partida_utc"], + "chegada_utc": registro["chegada_utc"], + "prioridade": 1, + } + ) + return linhas + + +def gerar_resumo( + registros: list[dict[str, Any]], + registros_consolidados: list[dict[str, Any]], +) -> dict[str, Any]: + faltantes = { + coluna: sum(registro[coluna] in (None, "") for registro in registros) + for coluna in COLUNAS_REGISTRO + } + return { + "arquivo_origem": str(RAW_PATH.relative_to(BASE_DIR)), + "ano_assumido": ANO, + "linhas_origem_excluidas": sorted(LINHAS_ORIGEM_EXCLUIDAS), + "registros_extraidos": len(registros), + "registros_consolidados": len(registros_consolidados), + "linhas_com_cruzamento_de_meia_noite": sum( + 1 for registro in registros if registro["cruza_meia_noite"] + ), + "linhas_com_rota": sum(1 for registro in registros if toca_rota(registro)), + "trechos_consolidados_com_rota": sum( + 1 for registro in registros_consolidados if registro["tem_rota_intermediaria"] + ), + "aeronaves": dict(sorted(Counter(r["aeronave"] for r in registros).items())), + "periodos": dict(Counter(r["periodo"] for r in registros)), + "meses": dict(Counter(r["mes"] for r in registros)), + "campos_faltantes": {k: v for k, v in faltantes.items() if v}, + "observacoes": [ + "Colunas REAL ate COM2 descartadas conforme criterio informado.", + "Horarios tratados como UTC/Z; nao houve conversao de fuso.", + "Chegadas iguais ou anteriores a partida foram deslocadas para o dia seguinte.", + "SEGMTO foi preservado da planilha original, sem recalculo.", + "Transicoes com ROTA tambem foram consolidadas em arquivo separado.", + "Prioridade OAMRP definida como 1 por falta de coluna de prioridade na origem.", + ], + } + + +def main() -> None: + PREPROCESS_DIR.mkdir(parents=True, exist_ok=True) + PROCESSED_DIR.mkdir(parents=True, exist_ok=True) + + registros = extrair_registros() + registros_consolidados = consolidar_transicoes_rota(registros) + escrever_csv(LIMPO_CSV, COLUNAS_REGISTRO, registros) + escrever_csv(PROCESSED_CSV, COLUNAS_REGISTRO, registros) + escrever_xlsx(LIMPO_XLSX, COLUNAS_REGISTRO, registros) + escrever_csv(CONSOLIDADO_CSV, COLUNAS_CONSOLIDADAS, registros_consolidados) + escrever_csv(PROCESSED_CONSOLIDADO_CSV, COLUNAS_CONSOLIDADAS, registros_consolidados) + escrever_csv(MISSOES_CSV, COLUNAS_OAMRP, preparar_oamrp(registros)) + escrever_csv( + MISSOES_CONSOLIDADAS_CSV, + COLUNAS_OAMRP, + preparar_oamrp_consolidado(registros_consolidados), + ) + + with RESUMO_JSON.open("w", encoding="utf-8") as arquivo: + json.dump( + gerar_resumo(registros, registros_consolidados), + arquivo, + ensure_ascii=False, + indent=2, + ) + arquivo.write("\n") + + print(f"Registros extraidos: {len(registros)}") + print(f"Registros consolidados: {len(registros_consolidados)}") + print(f"CSV final: {PROCESSED_CSV.relative_to(BASE_DIR)}") + print(f"CSV consolidado: {PROCESSED_CONSOLIDADO_CSV.relative_to(BASE_DIR)}") + print(f"CSV OAMRP: {MISSOES_CSV.relative_to(BASE_DIR)}") + print(f"CSV OAMRP consolidado: {MISSOES_CONSOLIDADAS_CSV.relative_to(BASE_DIR)}") + + +if __name__ == "__main__": + main() diff --git a/db/pre_process/registro_voo_2025/registro_voo_2025_consolidado.csv b/db/pre_process/registro_voo_2025/registro_voo_2025_consolidado.csv new file mode 100644 index 0000000..ce92577 --- /dev/null +++ b/db/pre_process/registro_voo_2025/registro_voo_2025_consolidado.csv @@ -0,0 +1,1268 @@ +id_registro,linhas_origem,data,data_iso,mes,mes_numero,om,aeronave,etapa_inicio,etapa_fim,localidade_dep,localidade_arr,horario_z_dep,horario_z_arr,partida_utc,chegada_utc,tempo_voo,tempo_voo_min,segmento_inicio,segmento_fim,pousos,missao,periodo,cruza_meia_noite,qtd_linhas_originais,tem_rota_intermediaria +RV2025_OM1_E1_L4_C4,4,02/01,2025-01-02,JAN,1,1,2809,1,1,SBMN,SBMY,11:55,13:05,2025-01-02T11:55:00Z,2025-01-02T13:05:00Z,01:10,70,1,1,1,69TV01,NOTURNO,False,1,False +RV2025_OM1_E2_L5_C5,5,02/01,2025-01-02,JAN,1,1,2809,2,2,SBMY,SBMN,14:30,15:35,2025-01-02T14:30:00Z,2025-01-02T15:35:00Z,01:05,65,2,2,1,69TV02,NOTURNO,False,1,False +RV2025_OM2_E3_L6_C6,6,02/01,2025-01-02,JAN,1,2,2809,3,3,SBMN,SBMY,17:00,18:05,2025-01-02T17:00:00Z,2025-01-02T18:05:00Z,01:05,65,3,3,1,69TV03,NOTURNO,False,1,False +RV2025_OM2_E4_L7_C7,7,02/01,2025-01-02,JAN,1,2,2809,4,4,SBMY,SBMN,20:00,21:10,2025-01-02T20:00:00Z,2025-01-02T21:10:00Z,01:10,70,4,4,1,69TV04,NOTURNO,False,1,False +RV2025_OM3_E1_L8_C8,8,03/01,2025-01-03,JAN,1,3,2809,1,1,SBMN,SBMN,14:45,16:10,2025-01-03T14:45:00Z,2025-01-03T16:10:00Z,01:25,85,1,1,7,69TV01,DIURNO,False,1,False +RV2025_OM4_E1_L9_C9,9,06/01,2025-01-06,JAN,1,4,2803,1,1,SBAN,SWBC,12:40,13:50,2025-01-06T12:40:00Z,2025-01-06T13:50:00Z,01:10,70,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM4_E2_L10_C10,10,06/01,2025-01-06,JAN,1,4,2803,2,2,SWBC,SBMN,15:40,16:45,2025-01-06T15:40:00Z,2025-01-06T16:45:00Z,01:05,65,2,2,1,69TV02,DIURNO,False,1,False +RV2025_OM5_E1_L11_C11,11,06/01,2025-01-06,JAN,1,5,2803,1,1,SBMN,SBPV,19:10,21:20,2025-01-06T19:10:00Z,2025-01-06T21:20:00Z,02:10,130,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM6_E1_L12_C12,12,06/01,2025-01-06,JAN,1,6,2811,1,1,SBMN,SBBV,19:30,21:25,2025-01-06T19:30:00Z,2025-01-06T21:25:00Z,01:55,115,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM7_E1_L15_C15,15,07/01,2025-01-07,JAN,1,7,2809,1,1,SBMN,SBBV,10:40,12:30,2025-01-07T10:40:00Z,2025-01-07T12:30:00Z,01:50,110,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM6_E2_L14_C14,14,07/01,2025-01-07,JAN,1,6,2811,2,2,SBBV,SBMN,11:20,13:20,2025-01-07T11:20:00Z,2025-01-07T13:20:00Z,02:00,120,1,1,1,69TV02,DIURNO,False,1,False 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+RV2025_OM229_E18_L1201,1201,16/09,2025-09-16,SET,9,229,2811,18,SBUA,SWPC,13:15,14:15,2025-09-16T13:15:00Z,2025-09-16T14:15:00Z,01:00,60,1,1,69TV18,DIURNO,False +RV2025_OM229_E19_L1202,1202,16/09,2025-09-16,SET,9,229,2811,19,SWPC,SWPC,15:30,15:50,2025-09-16T15:30:00Z,2025-09-16T15:50:00Z,00:20,20,2,1,69TF19,DIURNO,False +RV2025_OM233_E1_L1203,1203,18/09,2025-09-18,SET,9,233,2811,1,SBMN,SBTF,11:50,13:10,2025-09-18T11:50:00Z,2025-09-18T13:10:00Z,01:20,80,1,1,69TV01,DIURNO,False +RV2025_OM233_E2_L1204,1204,18/09,2025-09-18,SET,9,233,2811,2,SBTF,SWJP,15:05,16:40,2025-09-18T15:05:00Z,2025-09-18T16:40:00Z,01:35,95,1,1,69TV02,DIURNO,False +RV2025_OM233_E3_L1205,1205,18/09,2025-09-18,SET,9,233,2811,3,SWJP,SBTF,17:35,19:10,2025-09-18T17:35:00Z,2025-09-18T19:10:00Z,01:35,95,1,1,69TV03,DIURNO,False +RV2025_OM229_E20_L1206,1206,16/09,2025-09-16,SET,9,229,2811,20,SWPC,SWPC,15:50,16:05,2025-09-16T15:50:00Z,2025-09-16T16:05:00Z,00:15,15,3,1,69TF20,DIURNO,False +RV2025_OM229_E21_L1207,1207,16/09,2025-09-16,SET,9,229,2811,21,SWPC,SWPC,16:10,16:20,2025-09-16T16:10:00Z,2025-09-16T16:20:00Z,00:10,10,4,1,69TF21,DIURNO,False +RV2025_OM229_E22_L1208,1208,16/09,2025-09-16,SET,9,229,2811,22,SWPC,SWPC,16:25,16:40,2025-09-16T16:25:00Z,2025-09-16T16:40:00Z,00:15,15,5,1,69TF22,DIURNO,False +RV2025_OM229_E23_L1209,1209,16/09,2025-09-16,SET,9,229,2811,23,SWPC,SWPC,16:40,16:50,2025-09-16T16:40:00Z,2025-09-16T16:50:00Z,00:10,10,6,1,69TF23,DIURNO,False +RV2025_OM229_E24_L1210,1210,16/09,2025-09-16,SET,9,229,2811,24,SWPC,SWPC,16:55,17:05,2025-09-16T16:55:00Z,2025-09-16T17:05:00Z,00:10,10,7,1,69TF24,DIURNO,False +RV2025_OM229_E25_L1211,1211,16/09,2025-09-16,SET,9,229,2811,25,SWPC,SBUA,17:10,18:00,2025-09-16T17:10:00Z,2025-09-16T18:00:00Z,00:50,50,8,1,69TV25,DIURNO,False +RV2025_OM229_E26_L1212,1212,16/09,2025-09-16,SET,9,229,2811,26,SBUA,SWMK,19:10,19:35,2025-09-16T19:10:00Z,2025-09-16T19:35:00Z,00:25,25,9,1,69TV26,DIURNO,False +RV2025_OM229_E27_L1213,1213,16/09,2025-09-16,SET,9,229,2811,27,SWMK,SBUA,20:55,21:20,2025-09-16T20:55:00Z,2025-09-16T21:20:00Z,00:25,25,10,1,69TV27,DIURNO,False +RV2025_OM229_E28_L1214,1214,17/09,2025-09-17,SET,9,229,2811,28,SBUA,SWSQ,13:45,14:50,2025-09-17T13:45:00Z,2025-09-17T14:50:00Z,01:05,65,1,1,68TV28,DIURNO,False +RV2025_OM229_E29_L1215,1215,17/09,2025-09-17,SET,9,229,2811,29,SWSQ,SWSQ,15:40,15:50,2025-09-17T15:40:00Z,2025-09-17T15:50:00Z,00:10,10,2,1,69TV29,DIURNO,False +RV2025_OM229_E30_L1216,1216,17/09,2025-09-17,SET,9,229,2811,30,SWSQ,SWSQ,15:50,16:05,2025-09-17T15:50:00Z,2025-09-17T16:05:00Z,00:15,15,3,1,69TV30,DIURNO,False +RV2025_OM229_E31_L1217,1217,17/09,2025-09-17,SET,9,229,2811,31,SWSQ,SWSQ,16:05,16:20,2025-09-17T16:05:00Z,2025-09-17T16:20:00Z,00:15,15,4,1,69TV31,DIURNO,False +RV2025_OM229_E32_L1218,1218,17/09,2025-09-17,SET,9,229,2811,32,SWSQ,SBUA,16:20,17:15,2025-09-17T16:20:00Z,2025-09-17T17:15:00Z,00:55,55,5,1,69TV32,DIURNO,False +RV2025_OM229_E33_L1219,1219,17/09,2025-09-17,SET,9,229,2811,33,SBUA,SBMN,18:50,21:10,2025-09-17T18:50:00Z,2025-09-17T21:10:00Z,02:20,140,6,1,69TV33,DIURNO,False +RV2025_OM233_E4_L1220,1220,19/09,2025-09-19,SET,9,233,2811,4,SBTF,SWJP,13:05,14:35,2025-09-19T13:05:00Z,2025-09-19T14:35:00Z,01:30,90,1,1,69TV04,DIURNO,False +RV2025_OM233_E5_L1221,1221,19/09,2025-09-19,SET,9,233,2811,5,SWJP,SBTF,16:00,17:30,2025-09-19T16:00:00Z,2025-09-19T17:30:00Z,01:30,90,2,1,69TV05,DIURNO,False +RV2025_OM233_E6_L1222,1222,19/09,2025-09-19,SET,9,233,2811,6,SBTF,SWJP,19:15,20:55,2025-09-19T19:15:00Z,2025-09-19T20:55:00Z,01:40,100,3,1,69TV06,DIURNO,False +RV2025_OM233_E7_L1223,1223,19/09,2025-09-19,SET,9,233,2811,7,SWJP,SBTT,21:35,22:35,2025-09-19T21:35:00Z,2025-09-19T22:35:00Z,01:00,60,4,1,69TV07,DIURNO,False +RV2025_OM233_E8_L1224,1224,20/09,2025-09-20,SET,9,233,2811,8,SBTT,SWJV,13:15,14:15,2025-09-20T13:15:00Z,2025-09-20T14:15:00Z,01:00,60,1,1,69TV08,DIURNO,False 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+RV2025_OM233_E13_L1231,1231,21/09,2025-09-21,SET,9,233,2811,13,SWJV,SBTT,15:20,16:25,2025-09-21T15:20:00Z,2025-09-21T16:25:00Z,01:05,65,2,1,69TV13,DIURNO,False +RV2025_OM233_E14_L1232,1232,21/09,2025-09-21,SET,9,233,2811,14,SBTT,SWEE,17:20,18:05,2025-09-21T17:20:00Z,2025-09-21T18:05:00Z,00:45,45,3,1,69TV14,DIURNO,False +RV2025_OM233_E15_L1233,1233,21/09,2025-09-21,SET,9,233,2811,15,SWEE,SBTT,19:10,19:50,2025-09-21T19:10:00Z,2025-09-21T19:50:00Z,00:40,40,4,1,69TV15,DIURNO,False +RV2025_OM233_E16_L1234,1234,22/09,2025-09-22,SET,9,233,2811,16,SBTT,SWJV,13:20,14:20,2025-09-22T13:20:00Z,2025-09-22T14:20:00Z,01:00,60,1,1,69TV16,DIURNO,False +RV2025_OM233_E17_L1235,1235,22/09,2025-09-22,SET,9,233,2811,17,SWJV,SBTT,15:30,16:25,2025-09-22T15:30:00Z,2025-09-22T16:25:00Z,00:55,55,2,1,69TV17,DIURNO,False +RV2025_OM233_E18_L1236,1236,22/09,2025-09-22,SET,9,233,2811,18,SBTT,SWII,18:00,18:35,2025-09-22T18:00:00Z,2025-09-22T18:35:00Z,00:35,35,3,1,69TV18,DIURNO,False +RV2025_OM233_E19_L1237,1237,22/09,2025-09-22,SET,9,233,2811,19,SWII,SBTT,20:25,21:00,2025-09-22T20:25:00Z,2025-09-22T21:00:00Z,00:35,35,4,1,69TV19,DIURNO,False +RV2025_OM235_E1_L1238,1238,22/09,2025-09-22,SET,9,235,2800,1,SBMN,SBCZ,14:00,18:00,2025-09-22T14:00:00Z,2025-09-22T18:00:00Z,04:00,240,1,1,69TV01,DIURNO,False +RV2025_OM235_E2_L1239,1239,22/09,2025-09-22,SET,9,235,2800,2,SBCZ,SBTK,20:15,21:00,2025-09-22T20:15:00Z,2025-09-22T21:00:00Z,00:45,45,2,1,69TV02,DIURNO,False +RV2025_OM235_E3_L1240,1240,22/09,2025-09-22,SET,9,235,2800,3,SBTK,SBCZ,22:35,23:20,2025-09-22T22:35:00Z,2025-09-22T23:20:00Z,00:45,45,3,1,69TV03,NOTURNO,False +RV2025_OM236_E1_L1241,1241,23/09,2025-09-23,SET,9,236,2803,1,SBMN,SBBV,10:50,12:40,2025-09-23T10:50:00Z,2025-09-23T12:40:00Z,01:50,110,1,1,69TV01,DIURNO,False +RV2025_OM236_E2_L1242,1242,23/09,2025-09-23,SET,9,236,2803,2,SBBV,SBMN,14:10,16:00,2025-09-23T14:10:00Z,2025-09-23T16:00:00Z,01:50,110,2,1,69TV02,DIURNO,False +RV2025_OM237_E1_L1243,1243,23/09,2025-09-23,SET,9,237,2803,1,SBMN,SBBV,17:20,19:15,2025-09-23T17:20:00Z,2025-09-23T19:15:00Z,01:55,115,1,1,69TV01,DIURNO,False +RV2025_OM237_E2_L1244,1244,23/09,2025-09-23,SET,9,237,2803,2,SBBV,ROTA,20:40,22:00,2025-09-23T20:40:00Z,2025-09-23T22:00:00Z,01:20,80,2,0,69TV02,DIURNO,False +RV2025_OM237_E2_L1245,1245,23/09,2025-09-23,SET,9,237,2803,2,ROTA,SBMN,22:00,22:25,2025-09-23T22:00:00Z,2025-09-23T22:25:00Z,00:25,25,2,1,69TV02,NOTURNO,False +RV2025_OM235_E4_L1246,1246,23/09,2025-09-23,SET,9,235,2800,4,SBCZ,SBTK,13:00,13:45,2025-09-23T13:00:00Z,2025-09-23T13:45:00Z,00:45,45,1,1,69TV04,DIURNO,False +RV2025_OM235_E5_L1247,1247,23/09,2025-09-23,SET,9,235,2800,5,SBTK,SBCZ,16:10,16:50,2025-09-23T16:10:00Z,2025-09-23T16:50:00Z,00:40,40,2,1,69TV05,DIURNO,False +RV2025_OM233_E20_L1248,1248,23/09,2025-09-23,SET,9,233,2811,20,SBTT,ROTA,19:40,21:10,2025-09-23T19:40:00Z,2025-09-23T21:10:00Z,01:30,90,1,0,69TV20,DIURNO,False 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+RV2025_OM235_E7_L1255,1255,26/09,2025-09-26,SET,9,235,2800,7,SBTK,SBCZ,16:30,17:15,2025-09-26T16:30:00Z,2025-09-26T17:15:00Z,00:45,45,2,1,69TV07,DIURNO,False +RV2025_OM235_E8_L1256,1256,26/09,2025-09-26,SET,9,235,2800,8,SBCZ,ROTA,18:20,21:55,2025-09-26T18:20:00Z,2025-09-26T21:55:00Z,03:35,215,3,1,69TV08,DIURNO,False +RV2025_OM235_E9_L1257,1257,26/09,2025-09-26,SET,9,235,2800,9,ROTA,SBMN,21:55,22:15,2025-09-26T21:55:00Z,2025-09-26T22:15:00Z,00:20,20,4,1,69TV09,NOTURNO,False +RV2025_OM240_E1_L1258,1258,28/09,2025-09-28,SET,9,240,2811,1,SBMN,SBPV,00:45,02:45,2025-09-28T00:45:00Z,2025-09-28T02:45:00Z,02:00,120,1,1,69TV01,NOTURNO,False +RV2025_OM240_E2_L1259,1259,28/09,2025-09-28,SET,9,240,2811,2,SBPV,SBMN,04:15,06:10,2025-09-28T04:15:00Z,2025-09-28T06:10:00Z,01:55,115,2,1,69TV02,NOTURNO,False +RV2025_OM241_E1_L1260,1260,28/09,2025-09-28,SET,9,241,2800,1,SBMN,SBUY,12:05,13:50,2025-09-28T12:05:00Z,2025-09-28T13:50:00Z,01:45,105,1,1,69TV01,DIURNO,False +RV2025_OM241_E2_L1261,1261,28/09,2025-09-28,SET,9,241,2800,2,SBUY,SWEI,15:40,17:10,2025-09-28T15:40:00Z,2025-09-28T17:10:00Z,01:30,90,2,1,69TV02,DIURNO,False +RV2025_OM241_E3_L1262,1262,28/09,2025-09-28,SET,9,241,2800,3,SWEI,SBUY,19:30,20:55,2025-09-28T19:30:00Z,2025-09-28T20:55:00Z,01:25,85,3,1,69TV03,DIURNO,False +RV2025_OM241_E4_L1263,1263,28/09,2025-09-28,SET,9,241,2800,4,SBUY,ROTA,21:50,22:05,2025-09-28T21:50:00Z,2025-09-28T22:05:00Z,00:15,15,4,1,69TV04,DIURNO,False +RV2025_OM241_E5_L1264,1264,28/09,2025-09-28,SET,9,241,2800,5,ROTA,SBMN,22:05,23:35,2025-09-28T22:05:00Z,2025-09-28T23:35:00Z,01:30,90,5,1,69TV05,NOTURNO,False +RV2025_OM242_E1_L1265,1265,29/09,2025-09-29,SET,9,242,2811,1,SBMN,SWBC,12:00,13:10,2025-09-29T12:00:00Z,2025-09-29T13:10:00Z,01:10,70,1,1,69TV01,DIURNO,False +RV2025_OM242_E2_L1266,1266,29/09,2025-09-29,SET,9,242,2811,2,SWBC,SBMN,15:10,16:20,2025-09-29T15:10:00Z,2025-09-29T16:20:00Z,01:10,70,2,1,69TV02,DIURNO,False +RV2025_OM243_E1_L1267,1267,02/10,2025-10-02,OUT,10,243,2803,1,SBMN,SNVS,15:30,18:30,2025-10-02T15:30:00Z,2025-10-02T18:30:00Z,03:00,180,1,1,69TV01,DIURNO,False +RV2025_OM243_E2_L1268,1268,02/10,2025-10-02,OUT,10,243,2803,2,SNVS,SBBE,20:15,21:00,2025-10-02T20:15:00Z,2025-10-02T21:00:00Z,00:45,45,2,1,69TV02,DIURNO,False +RV2025_OM243_E3_L1269,1269,02/10,2025-10-02,OUT,10,243,2803,3,SBBE,ROTA,22:20,00:00,2025-10-02T22:20:00Z,2025-10-03T00:00:00Z,01:40,100,3,0,69TV03,NOTURNO,True +RV2025_OM243_E4_L1270,1270,03/10,2025-10-03,OUT,10,243,2803,4,ROTA,SBMN,00:00,01:20,2025-10-03T00:00:00Z,2025-10-03T01:20:00Z,01:20,80,1,1,69TV04,NOTURNO,False +RV2025_OM244_E1_L1271,1271,04/10,2025-10-04,OUT,10,244,2803,1,SBMN,SBTK,12:40,15:50,2025-10-04T12:40:00Z,2025-10-04T15:50:00Z,03:10,190,1,1,69TV01,DIURNO,False +RV2025_OM244_E2_L1272,1272,04/10,2025-10-04,OUT,10,244,2803,2,SBTK,SBMN,17:30,21:15,2025-10-04T17:30:00Z,2025-10-04T21:15:00Z,03:45,225,2,1,69TV02,DIURNO,False +RV2025_OM245_E1_L1273,1273,04/10,2025-10-04,OUT,10,245,2811,1,SBMN,SBMN,14:10,15:10,2025-10-04T14:10:00Z,2025-10-04T15:10:00Z,01:00,60,1,1,50TT01,DIURNO,False +RV2025_OM246_E1_L1274,1274,05/10,2025-10-05,OUT,10,246,2803,1,SBMN,SBMN,14:30,15:50,2025-10-05T14:30:00Z,2025-10-05T15:50:00Z,01:20,80,1,1,50TT01,DIURNO,False +RV2025_OM246_E2_L1275,1275,05/10,2025-10-05,OUT,10,246,2803,2,SBMN,SBMN,18:20,18:50,2025-10-05T18:20:00Z,2025-10-05T18:50:00Z,00:30,30,2,1,50TT02,DIURNO,False +RV2025_OM247_E1_L1276,1276,05/10,2025-10-05,OUT,10,247,2803,1,SBMN,ROTA,21:55,22:10,2025-10-05T21:55:00Z,2025-10-05T22:10:00Z,00:15,15,1,0,69TV01,DIURNO,False +RV2025_OM247_E1_L1277,1277,05/10,2025-10-05,OUT,10,247,2803,1,ROTA,SBBV,22:10,23:40,2025-10-05T22:10:00Z,2025-10-05T23:40:00Z,01:30,90,1,1,69TV01,NOTURNO,False +RV2025_OM247_E2_L1278,1278,06/10,2025-10-06,OUT,10,247,2803,2,SBBV,SBBV,11:55,12:35,2025-10-06T11:55:00Z,2025-10-06T12:35:00Z,00:40,40,1,1,50TT02,DIURNO,False +RV2025_OM247_E3_L1279,1279,06/10,2025-10-06,OUT,10,247,2803,3,SBBV,SBBV,13:20,14:00,2025-10-06T13:20:00Z,2025-10-06T14:00:00Z,00:40,40,2,1,50TT03,DIURNO,False +RV2025_OM247_E4_L1280,1280,07/10,2025-10-07,OUT,10,247,2803,4,SBBV,ROTA,02:30,03:50,2025-10-07T02:30:00Z,2025-10-07T03:50:00Z,01:20,80,1,0,69TV04,NOTURNO,False +RV2025_OM247_E5_L1281,1281,07/10,2025-10-07,OUT,10,247,2803,5,ROTA,SBMN,03:50,04:25,2025-10-07T03:50:00Z,2025-10-07T04:25:00Z,00:35,35,2,1,69TV05,NOTURNO,False +RV2025_OM248_E1_L1282,1282,07/10,2025-10-07,OUT,10,248,2803,1,SBMN,SBUA,12:00,14:05,2025-10-07T12:00:00Z,2025-10-07T14:05:00Z,02:05,125,1,1,69TV01,DIURNO,False +RV2025_OM248_E2_L1283,1283,07/10,2025-10-07,OUT,10,248,2803,2,SBUA,SBYA,15:30,16:20,2025-10-07T15:30:00Z,2025-10-07T16:20:00Z,00:50,50,2,1,69TV02,DIURNO,False +RV2025_OM248_E3_L1284,1284,07/10,2025-10-07,OUT,10,248,2803,3,SBYA,SBMN,18:45,21:50,2025-10-07T18:45:00Z,2025-10-07T21:50:00Z,03:05,185,3,1,69TV03,DIURNO,False +RV2025_OM249_E1_L1285,1285,10/10,2025-10-10,OUT,10,249,2803,1,SBMN,SBUA,12:00,14:10,2025-10-10T12:00:00Z,2025-10-10T14:10:00Z,02:10,130,1,1,69TV01,DIURNO,False +RV2025_OM249_E2_L1286,1286,10/10,2025-10-10,OUT,10,249,2803,2,SBUA,SBYA,16:15,17:10,2025-10-10T16:15:00Z,2025-10-10T17:10:00Z,00:55,55,2,1,69TV02,DIURNO,False +RV2025_OM249_E3_L1287,1287,10/10,2025-10-10,OUT,10,249,2803,3,SBYA,SBMN,19:20,22:10,2025-10-10T19:20:00Z,2025-10-10T22:10:00Z,02:50,170,3,1,69TV03,DIURNO,False +RV2025_OM250_E1_L1288,1288,11/10,2025-10-11,OUT,10,250,2803,1,SBMN,SBIH,13:05,14:35,2025-10-11T13:05:00Z,2025-10-11T14:35:00Z,01:30,90,1,1,69TV01,DIURNO,False +RV2025_OM250_E2_L1289,1289,11/10,2025-10-11,OUT,10,250,2803,2,SBIH,SBBE,15:45,18:15,2025-10-11T15:45:00Z,2025-10-11T18:15:00Z,02:30,150,2,1,69TV02,DIURNO,False +RV2025_OM250_E3_L1290,1290,11/10,2025-10-11,OUT,10,250,2803,3,SBBE,ROTA,20:00,22:15,2025-10-11T20:00:00Z,2025-10-11T22:15:00Z,02:15,135,3,0,69TV03,DIURNO,False +RV2025_OM250_E3_L1291,1291,11/10,2025-10-11,OUT,10,250,2803,3,ROTA,SBMN,22:15,23:15,2025-10-11T22:15:00Z,2025-10-11T23:15:00Z,01:00,60,3,1,69TV03,NOTURNO,False +RV2025_OM251_E1_L1292,1292,22/10,2025-10-22,OUT,10,251,2803,1,SBMN,ROTA,13:55,14:20,2025-10-22T13:55:00Z,2025-10-22T14:20:00Z,00:25,25,1,,48TF01,DIURNO,False +RV2025_OM251_E2_L1293,1293,22/10,2025-10-22,OUT,10,251,2803,2,ROTA,ROTA,14:25,14:30,2025-10-22T14:25:00Z,2025-10-22T14:30:00Z,00:05,5,2,,48TF02,DIURNO,False +RV2025_OM251_E3_L1294,1294,22/10,2025-10-22,OUT,10,251,2803,3,ROTA,SBMN,14:35,14:45,2025-10-22T14:35:00Z,2025-10-22T14:45:00Z,00:10,10,3,1,33TF03,DIURNO,False +RV2025_OM251_E4_L1295,1295,22/10,2025-10-22,OUT,10,251,2803,4,SBMN,SBMN,14:55,15:00,2025-10-22T14:55:00Z,2025-10-22T15:00:00Z,00:05,5,4,1,33TF04,DIURNO,False +RV2025_OM256_E1_L1296,1296,05/11,2025-11-05,NOV,11,256,2811,1,SBMN,SBMN,15:30,15:40,2025-11-05T15:30:00Z,2025-11-05T15:40:00Z,00:10,10,1,1,21TV01,DIURNO,False +RV2025_OM257_E1_L1297,1297,05/11,2025-11-05,NOV,11,257,2811,1,SBMN,SBMN,21:00,21:50,2025-11-05T21:00:00Z,2025-11-05T21:50:00Z,00:50,50,1,5,69TT01,DIURNO,False +RV2025_OM257_E2_L1298,1298,05/11,2025-11-05,NOV,11,257,2811,2,SBMN,SBMN,23:05,23:45,2025-11-05T23:05:00Z,2025-11-05T23:45:00Z,00:40,40,2,4,69TT02,NOTURNO,False +RV2025_OM257_E3_L1299,1299,06/11,2025-11-06,NOV,11,257,2811,3,SBMN,SBMN,00:40,01:00,2025-11-06T00:40:00Z,2025-11-06T01:00:00Z,00:20,20,1,2,69TT02,NOTURNO,False +RV2025_OM258_E1_L1300,1300,06/11,2025-11-06,NOV,11,258,2811,1,SBMN,SBMN,02:15,02:50,2025-11-06T02:15:00Z,2025-11-06T02:50:00Z,00:35,35,1,3,02TV01,NVG,False +RV2025_OM258_E2_L1301,1301,06/11,2025-11-06,NOV,11,258,2811,2,SBMN,SBMN,03:15,03:50,2025-11-06T03:15:00Z,2025-11-06T03:50:00Z,00:35,35,2,3,02TV02,NVG,False +RV2025_OM258_E3_L1302,1302,06/11,2025-11-06,NOV,11,258,2811,3,SBMN,SBMN,04:15,04:50,2025-11-06T04:15:00Z,2025-11-06T04:50:00Z,00:35,35,3,1,02TV03,NVG,False 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+RV2025_OM284_E2_L1399,1399,16/12,2025-12-16,DEZ,12,284,2803,2,SBBE,ROTA,22:20,00:00,2025-12-16T22:20:00Z,2025-12-17T00:00:00Z,01:40,100,2,0,69TV02,NOTURNO,True +RV2025_OM286_E1_L1400,1400,17/12,2025-12-17,DEZ,12,286,2811,1,SBMN,SBBV,09:45,11:35,2025-12-17T09:45:00Z,2025-12-17T11:35:00Z,01:50,110,1,1,69TV01,DIURNO,False +RV2025_OM284_E3_L1401,1401,17/12,2025-12-17,DEZ,12,284,2803,3,ROTA,SBPV,00:00,03:20,2025-12-17T00:00:00Z,2025-12-17T03:20:00Z,03:20,200,1,1,69TV02,NOTURNO,False +RV2025_OM284_E4_L1402,1402,17/12,2025-12-17,DEZ,12,284,2803,4,SBPV,ROTA,20:00,22:30,2025-12-17T20:00:00Z,2025-12-17T22:30:00Z,02:30,150,2,0,69TV03,DIURNO,False +RV2025_OM284_E4_L1403,1403,17/12,2025-12-17,DEZ,12,284,2803,4,ROTA,ROTA,22:30,00:00,2025-12-17T22:30:00Z,2025-12-18T00:00:00Z,01:30,90,2,0,69TV04,NOTURNO,True +RV2025_OM284_E5_L1404,1404,18/12,2025-12-18,DEZ,12,284,2803,5,ROTA,SBBE,00:00,00:45,2025-12-18T00:00:00Z,2025-12-18T00:45:00Z,00:45,45,3,1,69TV05,NOTURNO,False +RV2025_OM284_E6_L1405,1405,18/12,2025-12-18,DEZ,12,284,2803,6,SBBE,SBMN,02:00,05:20,2025-12-18T02:00:00Z,2025-12-18T05:20:00Z,03:20,200,1,1,69TV06,NOTURNO,False +RV2025_OM286_E2_L1406,1406,18/12,2025-12-18,DEZ,12,286,2811,2,SBBV,SBMN,17:00,19:00,2025-12-18T17:00:00Z,2025-12-18T19:00:00Z,02:00,120,1,1,69TV02,DIURNO,False +RV2025_OM287_E1_L1407,1407,21/12,2025-12-21,DEZ,12,287,2803,1,SBMN,SBSN,16:20,17:55,2025-12-21T16:20:00Z,2025-12-21T17:55:00Z,01:35,95,1,1,69TV01,DIURNO,False +RV2025_OM287_E2_L1408,1408,21/12,2025-12-21,DEZ,12,287,2803,2,SBSN,SBTS,18:35,20:05,2025-12-21T18:35:00Z,2025-12-21T20:05:00Z,01:30,90,2,1,69TV02,DIURNO,False +RV2025_OM287_E3_L1409,1409,21/12,2025-12-21,DEZ,12,287,2803,3,SBTS,ROTA,21:25,21:40,2025-12-21T21:25:00Z,2025-12-21T21:40:00Z,00:15,15,3,0,69TV03,DIURNO,False +RV2025_OM287_E3_L1410,1410,21/12,2025-12-21,DEZ,12,287,2803,3,ROTA,SBMQ,21:40,23:00,2025-12-21T21:40:00Z,2025-12-21T23:00:00Z,01:20,80,3,1,69TV03,NOTURNO,False 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+RV2025_OM288_E2_L1417,1417,29/12,2025-12-29,DEZ,12,288,2803,2,SBUA,SBMN,17:30,20:10,2025-12-29T17:30:00Z,2025-12-29T20:10:00Z,02:40,160,2,1,69TV02,DIURNO,False +RV2025_OM289_E1_L1418,1418,30/12,2025-12-30,DEZ,12,289,2803,1,SBMN,SBTT,11:50,14:35,2025-12-30T11:50:00Z,2025-12-30T14:35:00Z,02:45,165,1,2,69TV01,DIURNO,False +RV2025_OM289_E2_L1419,1419,30/12,2025-12-30,DEZ,12,289,2803,2,SBTT,SWJV,17:55,19:20,2025-12-30T17:55:00Z,2025-12-30T19:20:00Z,01:25,85,2,1,69TV02,DIURNO,False +RV2025_OM289_E3_L1420,1420,30/12,2025-12-30,DEZ,12,289,2803,3,SWJV,SWII,20:30,21:55,2025-12-30T20:30:00Z,2025-12-30T21:55:00Z,01:25,85,3,1,69TV03,DIURNO,False +RV2025_OM289_E4_L1421,1421,30/12,2025-12-30,DEZ,12,289,2803,4,SWII,SBTT,22:05,22:30,2025-12-30T22:05:00Z,2025-12-30T22:30:00Z,00:25,25,4,1,69TV04,DIURNO,False +RV2025_OM290_E1_L1422,1422,30/12,2025-12-30,DEZ,12,290,2811,1,SBMN,ROTA,20:55,22:10,2025-12-30T20:55:00Z,2025-12-30T22:10:00Z,01:15,75,1,3,01TT01,DIURNO,False +RV2025_OM290_E1_L1423,1423,30/12,2025-12-30,DEZ,12,290,2811,1,ROTA,SBMN,22:10,23:30,2025-12-30T22:10:00Z,2025-12-30T23:30:00Z,01:20,80,1,3,04TT01,NOTURNO,False +RV2025_OM289_E5_L1424,1424,31/12,2025-12-31,DEZ,12,289,2803,5,SBTT,SBMN,12:10,15:10,2025-12-31T12:10:00Z,2025-12-31T15:10:00Z,03:00,180,1,1,69TV05,DIURNO,False diff --git a/db/pre_process/registro_voo_2025/registro_voo_2025_limpo.xlsx b/db/pre_process/registro_voo_2025/registro_voo_2025_limpo.xlsx new file mode 100644 index 0000000..04acee0 Binary files /dev/null and b/db/pre_process/registro_voo_2025/registro_voo_2025_limpo.xlsx differ diff --git a/db/pre_process/registro_voo_2025/resumo_registro_voo_2025.json b/db/pre_process/registro_voo_2025/resumo_registro_voo_2025.json new file mode 100644 index 0000000..5d33d2f --- /dev/null +++ b/db/pre_process/registro_voo_2025/resumo_registro_voo_2025.json @@ -0,0 +1,48 @@ +{ + "arquivo_origem": "db\\raw\\Planilha 2025.xlsx", + "ano_assumido": 2025, + "linhas_origem_excluidas": [ + 793 + ], + "registros_extraidos": 1420, + "registros_consolidados": 1267, + "linhas_com_cruzamento_de_meia_noite": 53, + "linhas_com_rota": 288, + "trechos_consolidados_com_rota": 135, + "aeronaves": { + "2800": 329, + "2803": 513, + "2809": 212, + "2811": 366 + }, + "periodos": { + "NOTURNO": 247, + "DIURNO": 1145, + "NVG": 28 + }, + "meses": { + "JAN": 69, + "FEV": 179, + "MAR": 166, + "ABR": 184, + "MAI": 218, + "JUN": 144, + "JUL": 106, + "AGO": 36, + "SET": 160, + "OUT": 29, + "NOV": 66, + "DEZ": 63 + }, + "campos_faltantes": { + "pousos": 9 + }, + "observacoes": [ + "Colunas REAL ate COM2 descartadas conforme criterio informado.", + "Horarios tratados como UTC/Z; nao houve conversao de fuso.", + "Chegadas iguais ou anteriores a partida foram deslocadas para o dia seguinte.", + "SEGMTO foi preservado da planilha original, sem recalculo.", + "Transicoes com ROTA tambem foram consolidadas em arquivo separado.", + "Prioridade OAMRP definida como 1 por falta de coluna de prioridade na origem." + ] +} diff --git a/db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md b/db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md new file mode 100644 index 0000000..b226504 --- /dev/null +++ b/db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md @@ -0,0 +1,57 @@ +# Validacao do registro de voo 2025 + +Fonte validada: `db/processed/registro_voo_2025_consolidado.csv` + +## Resultado geral + +- Linhas originais limpas: 1420. +- Trechos consolidados: 1267. +- Linhas originais excluidas: 793. +- Trechos com `ROTA` no consolidado: 0. +- Transicoes `ROTA` convertidas para origem/destino reais: 135. +- Cruzamentos de 00Z preservados: 53. +- IDs duplicados: 0. +- Divergencias de duracao no registro original: 0. +- Trechos consolidados com tempo decorrido menor que tempo de voo: 0. +- Sobreposicoes temporais dentro da mesma OM/aeronave: 0. + +## Pendencias encontradas + +### 1. Trecho consolidado com pousos zero + +Trecho consolidado: + +| Campo | Valor | +| --- | --- | +| ID | RV2025_OM219_E4_L1108_C1109 | +| Linhas originais | 1108;1109 | +| Data | 01/09 | +| OM | 219 | +| Aeronave | 2809 | +| Trecho | SBCG -> SBCG | +| Tempo de voo | 01:50 | +| Pousos | 0 | +| Missao | 50TT04;50TT05 | +| Periodo | NOTURNO | + +Classificacao: verificar se o pouso ficou ausente por estar dividido pela transicao `ROTA` em 00Z. + +### 2. Quebras de continuidade espacial + +Foram encontradas 3 quebras de continuidade espacial dentro da mesma OM/aeronave, sem sobreposicao temporal. + +| OM | Aeronave | Trecho anterior | Trecho seguinte | Hipotese | +| --- | --- | --- | --- | --- | +| 7 | 2809 | SBMN -> SBBV | SBMN -> SBBV | Provavel erro ou duplicidade de origem; nao ha retorno registrado entre as duas etapas. | +| 55 | 2803 | SBUA -> SWMK | SWMQ -> SBUA | Provavel divergencia de digitacao entre `SWMK` e `SWMQ`. | +| 199 | 2800 | SBBR -> SBBR | SBGL -> SBAN | Lacuna operacional ou etapa ausente entre Brasilia e Galeao. | + +## Decisao de validacao + +O arquivo consolidado esta tecnicamente consistente para um primeiro uso no modelo OAMRP, desde que as 3 quebras espaciais sejam tratadas como excecoes conhecidas ou filtradas em uma rodada inicial. + +Recomendacao para a primeira simulacao: + +- Usar `db/pre_process/registro_voo_2025/missoes_oamrp_2025_consolidado.csv`. +- Comecar por janeiro/2025, pois o periodo contem apenas a quebra da OM 7 entre as pendencias de continuidade listadas. +- Manter as pendencias acima sem correcao automatica ate confirmacao humana. diff --git a/db/processed/registro_voo_2025.csv b/db/processed/registro_voo_2025.csv new file mode 100644 index 0000000..593a326 --- /dev/null +++ b/db/processed/registro_voo_2025.csv @@ -0,0 +1,1421 @@ +id_registro,linha_origem,data,data_iso,mes,mes_numero,om,aeronave,etapa,localidade_dep,localidade_arr,horario_z_dep,horario_z_arr,partida_utc,chegada_utc,tempo_voo,tempo_voo_min,segmento,pousos,missao,periodo,cruza_meia_noite +RV2025_OM1_E1_L4,4,02/01,2025-01-02,JAN,1,1,2809,1,SBMN,SBMY,11:55,13:05,2025-01-02T11:55:00Z,2025-01-02T13:05:00Z,01:10,70,1,1,69TV01,NOTURNO,False +RV2025_OM1_E2_L5,5,02/01,2025-01-02,JAN,1,1,2809,2,SBMY,SBMN,14:30,15:35,2025-01-02T14:30:00Z,2025-01-02T15:35:00Z,01:05,65,2,1,69TV02,NOTURNO,False 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+RV2025_OM229_E27_L1213,1213,16/09,2025-09-16,SET,9,229,2811,27,SWMK,SBUA,20:55,21:20,2025-09-16T20:55:00Z,2025-09-16T21:20:00Z,00:25,25,10,1,69TV27,DIURNO,False +RV2025_OM229_E28_L1214,1214,17/09,2025-09-17,SET,9,229,2811,28,SBUA,SWSQ,13:45,14:50,2025-09-17T13:45:00Z,2025-09-17T14:50:00Z,01:05,65,1,1,68TV28,DIURNO,False +RV2025_OM229_E29_L1215,1215,17/09,2025-09-17,SET,9,229,2811,29,SWSQ,SWSQ,15:40,15:50,2025-09-17T15:40:00Z,2025-09-17T15:50:00Z,00:10,10,2,1,69TV29,DIURNO,False +RV2025_OM229_E30_L1216,1216,17/09,2025-09-17,SET,9,229,2811,30,SWSQ,SWSQ,15:50,16:05,2025-09-17T15:50:00Z,2025-09-17T16:05:00Z,00:15,15,3,1,69TV30,DIURNO,False +RV2025_OM229_E31_L1217,1217,17/09,2025-09-17,SET,9,229,2811,31,SWSQ,SWSQ,16:05,16:20,2025-09-17T16:05:00Z,2025-09-17T16:20:00Z,00:15,15,4,1,69TV31,DIURNO,False +RV2025_OM229_E32_L1218,1218,17/09,2025-09-17,SET,9,229,2811,32,SWSQ,SBUA,16:20,17:15,2025-09-17T16:20:00Z,2025-09-17T17:15:00Z,00:55,55,5,1,69TV32,DIURNO,False +RV2025_OM229_E33_L1219,1219,17/09,2025-09-17,SET,9,229,2811,33,SBUA,SBMN,18:50,21:10,2025-09-17T18:50:00Z,2025-09-17T21:10:00Z,02:20,140,6,1,69TV33,DIURNO,False +RV2025_OM233_E4_L1220,1220,19/09,2025-09-19,SET,9,233,2811,4,SBTF,SWJP,13:05,14:35,2025-09-19T13:05:00Z,2025-09-19T14:35:00Z,01:30,90,1,1,69TV04,DIURNO,False +RV2025_OM233_E5_L1221,1221,19/09,2025-09-19,SET,9,233,2811,5,SWJP,SBTF,16:00,17:30,2025-09-19T16:00:00Z,2025-09-19T17:30:00Z,01:30,90,2,1,69TV05,DIURNO,False +RV2025_OM233_E6_L1222,1222,19/09,2025-09-19,SET,9,233,2811,6,SBTF,SWJP,19:15,20:55,2025-09-19T19:15:00Z,2025-09-19T20:55:00Z,01:40,100,3,1,69TV06,DIURNO,False +RV2025_OM233_E7_L1223,1223,19/09,2025-09-19,SET,9,233,2811,7,SWJP,SBTT,21:35,22:35,2025-09-19T21:35:00Z,2025-09-19T22:35:00Z,01:00,60,4,1,69TV07,DIURNO,False +RV2025_OM233_E8_L1224,1224,20/09,2025-09-20,SET,9,233,2811,8,SBTT,SWJV,13:15,14:15,2025-09-20T13:15:00Z,2025-09-20T14:15:00Z,01:00,60,1,1,69TV08,DIURNO,False +RV2025_OM233_E9_L1225,1225,20/09,2025-09-20,SET,9,233,2811,9,SWJV,SBTT,15:20,16:20,2025-09-20T15:20:00Z,2025-09-20T16:20:00Z,01:00,60,2,1,69TV09,DIURNO,False +RV2025_OM233_E10_L1226,1226,20/09,2025-09-20,SET,9,233,2811,10,SBTT,SWEE,17:50,18:25,2025-09-20T17:50:00Z,2025-09-20T18:25:00Z,00:35,35,3,1,69TV10,DIURNO,False +RV2025_OM233_E11_L1227,1227,20/09,2025-09-20,SET,9,233,2811,11,SWEE,SBTT,19:40,20:15,2025-09-20T19:40:00Z,2025-09-20T20:15:00Z,00:35,35,4,1,69TV11,DIURNO,False +RV2025_OM234_E1_L1228,1228,20/09,2025-09-20,SET,9,234,2800,1,SBMN,SBUA,11:45,14:00,2025-09-20T11:45:00Z,2025-09-20T14:00:00Z,02:15,135,1,1,69TV01,DIURNO,False +RV2025_OM234_E2_L1229,1229,20/09,2025-09-20,SET,9,234,2800,2,SBUA,SBMN,18:20,20:35,2025-09-20T18:20:00Z,2025-09-20T20:35:00Z,02:15,135,2,1,69TV02,DIURNO,False +RV2025_OM233_E12_L1230,1230,21/09,2025-09-21,SET,9,233,2811,12,SBTT,SWJV,13:00,14:00,2025-09-21T13:00:00Z,2025-09-21T14:00:00Z,01:00,60,1,1,69TV12,DIURNO,False +RV2025_OM233_E13_L1231,1231,21/09,2025-09-21,SET,9,233,2811,13,SWJV,SBTT,15:20,16:25,2025-09-21T15:20:00Z,2025-09-21T16:25:00Z,01:05,65,2,1,69TV13,DIURNO,False +RV2025_OM233_E14_L1232,1232,21/09,2025-09-21,SET,9,233,2811,14,SBTT,SWEE,17:20,18:05,2025-09-21T17:20:00Z,2025-09-21T18:05:00Z,00:45,45,3,1,69TV14,DIURNO,False +RV2025_OM233_E15_L1233,1233,21/09,2025-09-21,SET,9,233,2811,15,SWEE,SBTT,19:10,19:50,2025-09-21T19:10:00Z,2025-09-21T19:50:00Z,00:40,40,4,1,69TV15,DIURNO,False +RV2025_OM233_E16_L1234,1234,22/09,2025-09-22,SET,9,233,2811,16,SBTT,SWJV,13:20,14:20,2025-09-22T13:20:00Z,2025-09-22T14:20:00Z,01:00,60,1,1,69TV16,DIURNO,False +RV2025_OM233_E17_L1235,1235,22/09,2025-09-22,SET,9,233,2811,17,SWJV,SBTT,15:30,16:25,2025-09-22T15:30:00Z,2025-09-22T16:25:00Z,00:55,55,2,1,69TV17,DIURNO,False +RV2025_OM233_E18_L1236,1236,22/09,2025-09-22,SET,9,233,2811,18,SBTT,SWII,18:00,18:35,2025-09-22T18:00:00Z,2025-09-22T18:35:00Z,00:35,35,3,1,69TV18,DIURNO,False +RV2025_OM233_E19_L1237,1237,22/09,2025-09-22,SET,9,233,2811,19,SWII,SBTT,20:25,21:00,2025-09-22T20:25:00Z,2025-09-22T21:00:00Z,00:35,35,4,1,69TV19,DIURNO,False +RV2025_OM235_E1_L1238,1238,22/09,2025-09-22,SET,9,235,2800,1,SBMN,SBCZ,14:00,18:00,2025-09-22T14:00:00Z,2025-09-22T18:00:00Z,04:00,240,1,1,69TV01,DIURNO,False +RV2025_OM235_E2_L1239,1239,22/09,2025-09-22,SET,9,235,2800,2,SBCZ,SBTK,20:15,21:00,2025-09-22T20:15:00Z,2025-09-22T21:00:00Z,00:45,45,2,1,69TV02,DIURNO,False +RV2025_OM235_E3_L1240,1240,22/09,2025-09-22,SET,9,235,2800,3,SBTK,SBCZ,22:35,23:20,2025-09-22T22:35:00Z,2025-09-22T23:20:00Z,00:45,45,3,1,69TV03,NOTURNO,False +RV2025_OM236_E1_L1241,1241,23/09,2025-09-23,SET,9,236,2803,1,SBMN,SBBV,10:50,12:40,2025-09-23T10:50:00Z,2025-09-23T12:40:00Z,01:50,110,1,1,69TV01,DIURNO,False +RV2025_OM236_E2_L1242,1242,23/09,2025-09-23,SET,9,236,2803,2,SBBV,SBMN,14:10,16:00,2025-09-23T14:10:00Z,2025-09-23T16:00:00Z,01:50,110,2,1,69TV02,DIURNO,False +RV2025_OM237_E1_L1243,1243,23/09,2025-09-23,SET,9,237,2803,1,SBMN,SBBV,17:20,19:15,2025-09-23T17:20:00Z,2025-09-23T19:15:00Z,01:55,115,1,1,69TV01,DIURNO,False +RV2025_OM237_E2_L1244,1244,23/09,2025-09-23,SET,9,237,2803,2,SBBV,ROTA,20:40,22:00,2025-09-23T20:40:00Z,2025-09-23T22:00:00Z,01:20,80,2,0,69TV02,DIURNO,False +RV2025_OM237_E2_L1245,1245,23/09,2025-09-23,SET,9,237,2803,2,ROTA,SBMN,22:00,22:25,2025-09-23T22:00:00Z,2025-09-23T22:25:00Z,00:25,25,2,1,69TV02,NOTURNO,False +RV2025_OM235_E4_L1246,1246,23/09,2025-09-23,SET,9,235,2800,4,SBCZ,SBTK,13:00,13:45,2025-09-23T13:00:00Z,2025-09-23T13:45:00Z,00:45,45,1,1,69TV04,DIURNO,False +RV2025_OM235_E5_L1247,1247,23/09,2025-09-23,SET,9,235,2800,5,SBTK,SBCZ,16:10,16:50,2025-09-23T16:10:00Z,2025-09-23T16:50:00Z,00:40,40,2,1,69TV05,DIURNO,False +RV2025_OM233_E20_L1248,1248,23/09,2025-09-23,SET,9,233,2811,20,SBTT,ROTA,19:40,21:10,2025-09-23T19:40:00Z,2025-09-23T21:10:00Z,01:30,90,1,0,69TV20,DIURNO,False +RV2025_OM233_E20_L1249,1249,23/09,2025-09-23,SET,9,233,2811,20,ROTA,SBMN,21:10,22:50,2025-09-23T21:10:00Z,2025-09-23T22:50:00Z,01:40,100,1,1,69TV20,NOTURNO,False +RV2025_OM238_E1_L1250,1250,25/09,2025-09-25,SET,9,238,2803,1,SBMN,SBMY,11:30,12:30,2025-09-25T11:30:00Z,2025-09-25T12:30:00Z,01:00,60,1,1,69TV01,DIURNO,False +RV2025_OM238_E2_L1251,1251,25/09,2025-09-25,SET,9,238,2803,2,SBMY,SBMN,14:10,15:10,2025-09-25T14:10:00Z,2025-09-25T15:10:00Z,01:00,60,2,1,69TV02,DIURNO,False +RV2025_OM239_E1_L1252,1252,26/09,2025-09-26,SET,9,239,2803,1,SBMN,SBTF,11:40,13:10,2025-09-26T11:40:00Z,2025-09-26T13:10:00Z,01:30,90,1,1,69TV01,DIURNO,False +RV2025_OM239_E2_L1253,1253,26/09,2025-09-26,SET,9,239,2803,2,SBTF,SBMN,14:25,15:50,2025-09-26T14:25:00Z,2025-09-26T15:50:00Z,01:25,85,2,1,69TV02,DIURNO,False +RV2025_OM235_E6_L1254,1254,26/09,2025-09-26,SET,9,235,2800,6,SBCZ,SBTK,13:05,13:55,2025-09-26T13:05:00Z,2025-09-26T13:55:00Z,00:50,50,1,1,69TV06,DIURNO,False +RV2025_OM235_E7_L1255,1255,26/09,2025-09-26,SET,9,235,2800,7,SBTK,SBCZ,16:30,17:15,2025-09-26T16:30:00Z,2025-09-26T17:15:00Z,00:45,45,2,1,69TV07,DIURNO,False +RV2025_OM235_E8_L1256,1256,26/09,2025-09-26,SET,9,235,2800,8,SBCZ,ROTA,18:20,21:55,2025-09-26T18:20:00Z,2025-09-26T21:55:00Z,03:35,215,3,1,69TV08,DIURNO,False +RV2025_OM235_E9_L1257,1257,26/09,2025-09-26,SET,9,235,2800,9,ROTA,SBMN,21:55,22:15,2025-09-26T21:55:00Z,2025-09-26T22:15:00Z,00:20,20,4,1,69TV09,NOTURNO,False +RV2025_OM240_E1_L1258,1258,28/09,2025-09-28,SET,9,240,2811,1,SBMN,SBPV,00:45,02:45,2025-09-28T00:45:00Z,2025-09-28T02:45:00Z,02:00,120,1,1,69TV01,NOTURNO,False +RV2025_OM240_E2_L1259,1259,28/09,2025-09-28,SET,9,240,2811,2,SBPV,SBMN,04:15,06:10,2025-09-28T04:15:00Z,2025-09-28T06:10:00Z,01:55,115,2,1,69TV02,NOTURNO,False +RV2025_OM241_E1_L1260,1260,28/09,2025-09-28,SET,9,241,2800,1,SBMN,SBUY,12:05,13:50,2025-09-28T12:05:00Z,2025-09-28T13:50:00Z,01:45,105,1,1,69TV01,DIURNO,False +RV2025_OM241_E2_L1261,1261,28/09,2025-09-28,SET,9,241,2800,2,SBUY,SWEI,15:40,17:10,2025-09-28T15:40:00Z,2025-09-28T17:10:00Z,01:30,90,2,1,69TV02,DIURNO,False +RV2025_OM241_E3_L1262,1262,28/09,2025-09-28,SET,9,241,2800,3,SWEI,SBUY,19:30,20:55,2025-09-28T19:30:00Z,2025-09-28T20:55:00Z,01:25,85,3,1,69TV03,DIURNO,False +RV2025_OM241_E4_L1263,1263,28/09,2025-09-28,SET,9,241,2800,4,SBUY,ROTA,21:50,22:05,2025-09-28T21:50:00Z,2025-09-28T22:05:00Z,00:15,15,4,1,69TV04,DIURNO,False +RV2025_OM241_E5_L1264,1264,28/09,2025-09-28,SET,9,241,2800,5,ROTA,SBMN,22:05,23:35,2025-09-28T22:05:00Z,2025-09-28T23:35:00Z,01:30,90,5,1,69TV05,NOTURNO,False +RV2025_OM242_E1_L1265,1265,29/09,2025-09-29,SET,9,242,2811,1,SBMN,SWBC,12:00,13:10,2025-09-29T12:00:00Z,2025-09-29T13:10:00Z,01:10,70,1,1,69TV01,DIURNO,False +RV2025_OM242_E2_L1266,1266,29/09,2025-09-29,SET,9,242,2811,2,SWBC,SBMN,15:10,16:20,2025-09-29T15:10:00Z,2025-09-29T16:20:00Z,01:10,70,2,1,69TV02,DIURNO,False +RV2025_OM243_E1_L1267,1267,02/10,2025-10-02,OUT,10,243,2803,1,SBMN,SNVS,15:30,18:30,2025-10-02T15:30:00Z,2025-10-02T18:30:00Z,03:00,180,1,1,69TV01,DIURNO,False +RV2025_OM243_E2_L1268,1268,02/10,2025-10-02,OUT,10,243,2803,2,SNVS,SBBE,20:15,21:00,2025-10-02T20:15:00Z,2025-10-02T21:00:00Z,00:45,45,2,1,69TV02,DIURNO,False +RV2025_OM243_E3_L1269,1269,02/10,2025-10-02,OUT,10,243,2803,3,SBBE,ROTA,22:20,00:00,2025-10-02T22:20:00Z,2025-10-03T00:00:00Z,01:40,100,3,0,69TV03,NOTURNO,True +RV2025_OM243_E4_L1270,1270,03/10,2025-10-03,OUT,10,243,2803,4,ROTA,SBMN,00:00,01:20,2025-10-03T00:00:00Z,2025-10-03T01:20:00Z,01:20,80,1,1,69TV04,NOTURNO,False +RV2025_OM244_E1_L1271,1271,04/10,2025-10-04,OUT,10,244,2803,1,SBMN,SBTK,12:40,15:50,2025-10-04T12:40:00Z,2025-10-04T15:50:00Z,03:10,190,1,1,69TV01,DIURNO,False +RV2025_OM244_E2_L1272,1272,04/10,2025-10-04,OUT,10,244,2803,2,SBTK,SBMN,17:30,21:15,2025-10-04T17:30:00Z,2025-10-04T21:15:00Z,03:45,225,2,1,69TV02,DIURNO,False +RV2025_OM245_E1_L1273,1273,04/10,2025-10-04,OUT,10,245,2811,1,SBMN,SBMN,14:10,15:10,2025-10-04T14:10:00Z,2025-10-04T15:10:00Z,01:00,60,1,1,50TT01,DIURNO,False +RV2025_OM246_E1_L1274,1274,05/10,2025-10-05,OUT,10,246,2803,1,SBMN,SBMN,14:30,15:50,2025-10-05T14:30:00Z,2025-10-05T15:50:00Z,01:20,80,1,1,50TT01,DIURNO,False +RV2025_OM246_E2_L1275,1275,05/10,2025-10-05,OUT,10,246,2803,2,SBMN,SBMN,18:20,18:50,2025-10-05T18:20:00Z,2025-10-05T18:50:00Z,00:30,30,2,1,50TT02,DIURNO,False +RV2025_OM247_E1_L1276,1276,05/10,2025-10-05,OUT,10,247,2803,1,SBMN,ROTA,21:55,22:10,2025-10-05T21:55:00Z,2025-10-05T22:10:00Z,00:15,15,1,0,69TV01,DIURNO,False +RV2025_OM247_E1_L1277,1277,05/10,2025-10-05,OUT,10,247,2803,1,ROTA,SBBV,22:10,23:40,2025-10-05T22:10:00Z,2025-10-05T23:40:00Z,01:30,90,1,1,69TV01,NOTURNO,False +RV2025_OM247_E2_L1278,1278,06/10,2025-10-06,OUT,10,247,2803,2,SBBV,SBBV,11:55,12:35,2025-10-06T11:55:00Z,2025-10-06T12:35:00Z,00:40,40,1,1,50TT02,DIURNO,False +RV2025_OM247_E3_L1279,1279,06/10,2025-10-06,OUT,10,247,2803,3,SBBV,SBBV,13:20,14:00,2025-10-06T13:20:00Z,2025-10-06T14:00:00Z,00:40,40,2,1,50TT03,DIURNO,False +RV2025_OM247_E4_L1280,1280,07/10,2025-10-07,OUT,10,247,2803,4,SBBV,ROTA,02:30,03:50,2025-10-07T02:30:00Z,2025-10-07T03:50:00Z,01:20,80,1,0,69TV04,NOTURNO,False +RV2025_OM247_E5_L1281,1281,07/10,2025-10-07,OUT,10,247,2803,5,ROTA,SBMN,03:50,04:25,2025-10-07T03:50:00Z,2025-10-07T04:25:00Z,00:35,35,2,1,69TV05,NOTURNO,False +RV2025_OM248_E1_L1282,1282,07/10,2025-10-07,OUT,10,248,2803,1,SBMN,SBUA,12:00,14:05,2025-10-07T12:00:00Z,2025-10-07T14:05:00Z,02:05,125,1,1,69TV01,DIURNO,False +RV2025_OM248_E2_L1283,1283,07/10,2025-10-07,OUT,10,248,2803,2,SBUA,SBYA,15:30,16:20,2025-10-07T15:30:00Z,2025-10-07T16:20:00Z,00:50,50,2,1,69TV02,DIURNO,False +RV2025_OM248_E3_L1284,1284,07/10,2025-10-07,OUT,10,248,2803,3,SBYA,SBMN,18:45,21:50,2025-10-07T18:45:00Z,2025-10-07T21:50:00Z,03:05,185,3,1,69TV03,DIURNO,False +RV2025_OM249_E1_L1285,1285,10/10,2025-10-10,OUT,10,249,2803,1,SBMN,SBUA,12:00,14:10,2025-10-10T12:00:00Z,2025-10-10T14:10:00Z,02:10,130,1,1,69TV01,DIURNO,False +RV2025_OM249_E2_L1286,1286,10/10,2025-10-10,OUT,10,249,2803,2,SBUA,SBYA,16:15,17:10,2025-10-10T16:15:00Z,2025-10-10T17:10:00Z,00:55,55,2,1,69TV02,DIURNO,False +RV2025_OM249_E3_L1287,1287,10/10,2025-10-10,OUT,10,249,2803,3,SBYA,SBMN,19:20,22:10,2025-10-10T19:20:00Z,2025-10-10T22:10:00Z,02:50,170,3,1,69TV03,DIURNO,False +RV2025_OM250_E1_L1288,1288,11/10,2025-10-11,OUT,10,250,2803,1,SBMN,SBIH,13:05,14:35,2025-10-11T13:05:00Z,2025-10-11T14:35:00Z,01:30,90,1,1,69TV01,DIURNO,False +RV2025_OM250_E2_L1289,1289,11/10,2025-10-11,OUT,10,250,2803,2,SBIH,SBBE,15:45,18:15,2025-10-11T15:45:00Z,2025-10-11T18:15:00Z,02:30,150,2,1,69TV02,DIURNO,False +RV2025_OM250_E3_L1290,1290,11/10,2025-10-11,OUT,10,250,2803,3,SBBE,ROTA,20:00,22:15,2025-10-11T20:00:00Z,2025-10-11T22:15:00Z,02:15,135,3,0,69TV03,DIURNO,False +RV2025_OM250_E3_L1291,1291,11/10,2025-10-11,OUT,10,250,2803,3,ROTA,SBMN,22:15,23:15,2025-10-11T22:15:00Z,2025-10-11T23:15:00Z,01:00,60,3,1,69TV03,NOTURNO,False +RV2025_OM251_E1_L1292,1292,22/10,2025-10-22,OUT,10,251,2803,1,SBMN,ROTA,13:55,14:20,2025-10-22T13:55:00Z,2025-10-22T14:20:00Z,00:25,25,1,,48TF01,DIURNO,False +RV2025_OM251_E2_L1293,1293,22/10,2025-10-22,OUT,10,251,2803,2,ROTA,ROTA,14:25,14:30,2025-10-22T14:25:00Z,2025-10-22T14:30:00Z,00:05,5,2,,48TF02,DIURNO,False +RV2025_OM251_E3_L1294,1294,22/10,2025-10-22,OUT,10,251,2803,3,ROTA,SBMN,14:35,14:45,2025-10-22T14:35:00Z,2025-10-22T14:45:00Z,00:10,10,3,1,33TF03,DIURNO,False +RV2025_OM251_E4_L1295,1295,22/10,2025-10-22,OUT,10,251,2803,4,SBMN,SBMN,14:55,15:00,2025-10-22T14:55:00Z,2025-10-22T15:00:00Z,00:05,5,4,1,33TF04,DIURNO,False +RV2025_OM256_E1_L1296,1296,05/11,2025-11-05,NOV,11,256,2811,1,SBMN,SBMN,15:30,15:40,2025-11-05T15:30:00Z,2025-11-05T15:40:00Z,00:10,10,1,1,21TV01,DIURNO,False +RV2025_OM257_E1_L1297,1297,05/11,2025-11-05,NOV,11,257,2811,1,SBMN,SBMN,21:00,21:50,2025-11-05T21:00:00Z,2025-11-05T21:50:00Z,00:50,50,1,5,69TT01,DIURNO,False +RV2025_OM257_E2_L1298,1298,05/11,2025-11-05,NOV,11,257,2811,2,SBMN,SBMN,23:05,23:45,2025-11-05T23:05:00Z,2025-11-05T23:45:00Z,00:40,40,2,4,69TT02,NOTURNO,False +RV2025_OM257_E3_L1299,1299,06/11,2025-11-06,NOV,11,257,2811,3,SBMN,SBMN,00:40,01:00,2025-11-06T00:40:00Z,2025-11-06T01:00:00Z,00:20,20,1,2,69TT02,NOTURNO,False +RV2025_OM258_E1_L1300,1300,06/11,2025-11-06,NOV,11,258,2811,1,SBMN,SBMN,02:15,02:50,2025-11-06T02:15:00Z,2025-11-06T02:50:00Z,00:35,35,1,3,02TV01,NVG,False +RV2025_OM258_E2_L1301,1301,06/11,2025-11-06,NOV,11,258,2811,2,SBMN,SBMN,03:15,03:50,2025-11-06T03:15:00Z,2025-11-06T03:50:00Z,00:35,35,2,3,02TV02,NVG,False +RV2025_OM258_E3_L1302,1302,06/11,2025-11-06,NOV,11,258,2811,3,SBMN,SBMN,04:15,04:50,2025-11-06T04:15:00Z,2025-11-06T04:50:00Z,00:35,35,3,1,02TV03,NVG,False 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+RV2025_OM260_E1_L1309,1309,09/11,2025-11-09,NOV,11,260,2811,1,SBMN,SBBE,12:05,15:35,2025-11-09T12:05:00Z,2025-11-09T15:35:00Z,03:30,210,1,1,69TV01,DIURNO,False +RV2025_OM260_E2_L1310,1310,09/11,2025-11-09,NOV,11,260,2811,2,SBBE,SBSN,17:40,19:40,2025-11-09T17:40:00Z,2025-11-09T19:40:00Z,02:00,120,2,1,69TV02,DIURNO,False +RV2025_OM260_E3_L1311,1311,09/11,2025-11-09,NOV,11,260,2811,3,SBSN,ROTA,20:35,21:45,2025-11-09T20:35:00Z,2025-11-09T21:45:00Z,01:10,70,3,0,69TV03,DIURNO,False +RV2025_OM260_E3_L1312,1312,09/11,2025-11-09,NOV,11,260,2811,3,ROTA,SBBV,21:45,22:55,2025-11-09T21:45:00Z,2025-11-09T22:55:00Z,01:10,70,3,1,69TV03,NOTURNO,False +RV2025_OM260_E4_L1313,1313,10/11,2025-11-10,NOV,11,260,2811,4,SBBV,SBMN,00:40,02:30,2025-11-10T00:40:00Z,2025-11-10T02:30:00Z,01:50,110,1,1,69TV04,NOTURNO,False +RV2025_OM261_E1_L1314,1314,10/11,2025-11-10,NOV,11,261,2811,1,SBMN,SBBV,12:00,13:55,2025-11-10T12:00:00Z,2025-11-10T13:55:00Z,01:55,115,1,1,69TV01,DIURNO,False 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+RV2025_OM265_E1_L1327,1327,12/11,2025-11-12,NOV,11,265,2800,1,SBMN,SBSN,17:25,19:10,2025-11-12T17:25:00Z,2025-11-12T19:10:00Z,01:45,105,1,1,69TV01,DIURNO,False +RV2025_OM265_E2_L1328,1328,12/11,2025-11-12,NOV,11,265,2800,2,SBSN,ROTA,20:20,21:20,2025-11-12T20:20:00Z,2025-11-12T21:20:00Z,01:00,60,2,0,69TV02,DIURNO,False +RV2025_OM265_E2_L1329,1329,12/11,2025-11-12,NOV,11,265,2800,2,ROTA,SBBE,21:20,22:20,2025-11-12T21:20:00Z,2025-11-12T22:20:00Z,01:00,60,2,1,69TV02,NOTURNO,False +RV2025_OM265_E3_L1330,1330,13/11,2025-11-13,NOV,11,265,2800,3,SBBE,SBSN,11:55,13:55,2025-11-13T11:55:00Z,2025-11-13T13:55:00Z,02:00,120,1,1,69TV03,DIURNO,False +RV2025_OM265_E4_L1331,1331,13/11,2025-11-13,NOV,11,265,2800,4,SBSN,SBMN,14:50,16:30,2025-11-13T14:50:00Z,2025-11-13T16:30:00Z,01:40,100,2,1,69TV04,DIURNO,False +RV2025_OM266_E1_L1332,1332,13/11,2025-11-13,NOV,11,266,2811,1,SBMN,SBSN,16:05,17:50,2025-11-13T16:05:00Z,2025-11-13T17:50:00Z,01:45,105,1,1,69TV01,DIURNO,False 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+RV2025_OM233_E10_L1226_C1226,1226,20/09,2025-09-20,SET,9,233,2811,10,10,SBTT,SWEE,17:50,18:25,2025-09-20T17:50:00Z,2025-09-20T18:25:00Z,00:35,35,3,3,1,69TV10,DIURNO,False,1,False +RV2025_OM234_E2_L1229_C1229,1229,20/09,2025-09-20,SET,9,234,2800,2,2,SBUA,SBMN,18:20,20:35,2025-09-20T18:20:00Z,2025-09-20T20:35:00Z,02:15,135,2,2,1,69TV02,DIURNO,False,1,False +RV2025_OM233_E11_L1227_C1227,1227,20/09,2025-09-20,SET,9,233,2811,11,11,SWEE,SBTT,19:40,20:15,2025-09-20T19:40:00Z,2025-09-20T20:15:00Z,00:35,35,4,4,1,69TV11,DIURNO,False,1,False +RV2025_OM233_E12_L1230_C1230,1230,21/09,2025-09-21,SET,9,233,2811,12,12,SBTT,SWJV,13:00,14:00,2025-09-21T13:00:00Z,2025-09-21T14:00:00Z,01:00,60,1,1,1,69TV12,DIURNO,False,1,False +RV2025_OM233_E13_L1231_C1231,1231,21/09,2025-09-21,SET,9,233,2811,13,13,SWJV,SBTT,15:20,16:25,2025-09-21T15:20:00Z,2025-09-21T16:25:00Z,01:05,65,2,2,1,69TV13,DIURNO,False,1,False +RV2025_OM233_E14_L1232_C1232,1232,21/09,2025-09-21,SET,9,233,2811,14,14,SBTT,SWEE,17:20,18:05,2025-09-21T17:20:00Z,2025-09-21T18:05:00Z,00:45,45,3,3,1,69TV14,DIURNO,False,1,False +RV2025_OM233_E15_L1233_C1233,1233,21/09,2025-09-21,SET,9,233,2811,15,15,SWEE,SBTT,19:10,19:50,2025-09-21T19:10:00Z,2025-09-21T19:50:00Z,00:40,40,4,4,1,69TV15,DIURNO,False,1,False +RV2025_OM233_E16_L1234_C1234,1234,22/09,2025-09-22,SET,9,233,2811,16,16,SBTT,SWJV,13:20,14:20,2025-09-22T13:20:00Z,2025-09-22T14:20:00Z,01:00,60,1,1,1,69TV16,DIURNO,False,1,False +RV2025_OM235_E1_L1238_C1238,1238,22/09,2025-09-22,SET,9,235,2800,1,1,SBMN,SBCZ,14:00,18:00,2025-09-22T14:00:00Z,2025-09-22T18:00:00Z,04:00,240,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM233_E17_L1235_C1235,1235,22/09,2025-09-22,SET,9,233,2811,17,17,SWJV,SBTT,15:30,16:25,2025-09-22T15:30:00Z,2025-09-22T16:25:00Z,00:55,55,2,2,1,69TV17,DIURNO,False,1,False +RV2025_OM233_E18_L1236_C1236,1236,22/09,2025-09-22,SET,9,233,2811,18,18,SBTT,SWII,18:00,18:35,2025-09-22T18:00:00Z,2025-09-22T18:35:00Z,00:35,35,3,3,1,69TV18,DIURNO,False,1,False +RV2025_OM235_E2_L1239_C1239,1239,22/09,2025-09-22,SET,9,235,2800,2,2,SBCZ,SBTK,20:15,21:00,2025-09-22T20:15:00Z,2025-09-22T21:00:00Z,00:45,45,2,2,1,69TV02,DIURNO,False,1,False +RV2025_OM233_E19_L1237_C1237,1237,22/09,2025-09-22,SET,9,233,2811,19,19,SWII,SBTT,20:25,21:00,2025-09-22T20:25:00Z,2025-09-22T21:00:00Z,00:35,35,4,4,1,69TV19,DIURNO,False,1,False +RV2025_OM235_E3_L1240_C1240,1240,22/09,2025-09-22,SET,9,235,2800,3,3,SBTK,SBCZ,22:35,23:20,2025-09-22T22:35:00Z,2025-09-22T23:20:00Z,00:45,45,3,3,1,69TV03,NOTURNO,False,1,False +RV2025_OM236_E1_L1241_C1241,1241,23/09,2025-09-23,SET,9,236,2803,1,1,SBMN,SBBV,10:50,12:40,2025-09-23T10:50:00Z,2025-09-23T12:40:00Z,01:50,110,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM235_E4_L1246_C1246,1246,23/09,2025-09-23,SET,9,235,2800,4,4,SBCZ,SBTK,13:00,13:45,2025-09-23T13:00:00Z,2025-09-23T13:45:00Z,00:45,45,1,1,1,69TV04,DIURNO,False,1,False +RV2025_OM236_E2_L1242_C1242,1242,23/09,2025-09-23,SET,9,236,2803,2,2,SBBV,SBMN,14:10,16:00,2025-09-23T14:10:00Z,2025-09-23T16:00:00Z,01:50,110,2,2,1,69TV02,DIURNO,False,1,False +RV2025_OM235_E5_L1247_C1247,1247,23/09,2025-09-23,SET,9,235,2800,5,5,SBTK,SBCZ,16:10,16:50,2025-09-23T16:10:00Z,2025-09-23T16:50:00Z,00:40,40,2,2,1,69TV05,DIURNO,False,1,False +RV2025_OM237_E1_L1243_C1243,1243,23/09,2025-09-23,SET,9,237,2803,1,1,SBMN,SBBV,17:20,19:15,2025-09-23T17:20:00Z,2025-09-23T19:15:00Z,01:55,115,1,1,1,69TV01,DIURNO,False,1,False +RV2025_OM233_E20_L1248_C1249,1248;1249,23/09,2025-09-23,SET,9,233,2811,20,20,SBTT,SBMN,19:40,22:50,2025-09-23T19:40:00Z,2025-09-23T22:50:00Z,03:10,190,1,1,1,69TV20,DIURNO;NOTURNO,False,2,True 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+RV2025_OM289_E5_L1424_C1424,1424,31/12,2025-12-31,DEZ,12,289,2803,5,5,SBTT,SBMN,12:10,15:10,2025-12-31T12:10:00Z,2025-12-31T15:10:00Z,03:00,180,1,1,1,69TV05,DIURNO,False,1,False diff --git a/db/raw/Planilha 2025.xlsx b/db/raw/Planilha 2025.xlsx new file mode 100644 index 0000000..e6baa0c Binary files /dev/null and b/db/raw/Planilha 2025.xlsx differ diff --git a/docs/about.md b/docs/about.md index be5a23e..919c2ff 100644 --- a/docs/about.md +++ b/docs/about.md @@ -141,3 +141,34 @@ Para reexecutar o pré-processamento: ```powershell python db/pre_process/relatorio_ciclo_inspecoes_c105_2805_2026-06-15/preprocess_pdf.py ``` +## Registro de voo 2025 + +O arquivo `db/raw/Planilha 2025.xlsx` foi pre-processado por `db/pre_process/registro_voo_2025/preprocess_planilha_2025.py`. + +O processamento gera duas visoes principais: + +- `db/processed/registro_voo_2025.csv`: registro limpo, preservando a granularidade das linhas originais relevantes. +- `db/processed/registro_voo_2025_consolidado.csv`: registro consolidado para roteamento, com `ROTA` tratado como marcador de transicao. + +Tambem sao gerados CSVs no formato esperado pelo prototipo OAMRP: + +```text +db/pre_process/registro_voo_2025/missoes_oamrp_2025.csv +db/pre_process/registro_voo_2025/missoes_oamrp_2025_consolidado.csv +``` + +Criterios aplicados: + +- colunas entre `REAL` e `COM2` descartadas; +- datas de 2025 normalizadas para formato ISO e `dd/mm`; +- horarios tratados como UTC/Z; +- chegadas iguais ou anteriores a partida deslocadas para o dia seguinte; +- transicoes com `ROTA` consolidadas em origem/destino reais; +- linha original 793, aeronave 2806, excluida dos artefatos processados; +- `SEGMTO` preservado como campo original, sem recalculo automatico. + +O relatorio de validacao esta em: + +```text +db/pre_process/registro_voo_2025/validacao_registro_voo_2025.md +``` diff --git a/docs/changelog.md b/docs/changelog.md index 3397672..f5ef7e3 100644 --- a/docs/changelog.md +++ b/docs/changelog.md @@ -59,3 +59,30 @@ Formato: - O parser atual foi calibrado para o primeiro PDF processado. - A grafia original do documento fonte foi preservada, inclusive ocorrências de `INPEÇÃO`. +## v0.3 - VTO - 2026-06 + +### Adicionado + +- Pre-processamento da `Planilha 2025.xlsx` para registro de voo limpo. +- Saidas em CSV/XLSX sem mesclas e CSV OAMRP com `id,orig,dest,partida_utc,chegada_utc,prioridade`. +- Resumo JSON com contagens, campos faltantes e criterios de conversao. + +### Alterado + +- Criado arquivo final `db/processed/registro_voo_2025.csv`. + +### Observacoes + +- `SEGMTO` foi preservado da planilha original; cruzamento de 00Z foi registrado em campo separado. +- Colunas entre `REAL` e `COM2` foram descartadas. +## v0.3.1 - VTO - 2026-06 + +### Alterado + +- Registro de voo 2025 regenerado removendo a linha original 793, aeronave 2806. +- Consolidado passou para 1267 trechos e registro limpo para 1420 linhas. +- Documentacao atualizada em `README.md`, `docs/about.md`, `LOG.md` e relatorio de validacao. + +### Observacoes + +- A remocao foi aplicada no script de pre-processamento para manter reprodutibilidade. diff --git a/docs/roteiro_apresentacao_oamrp.doc b/docs/roteiro_apresentacao_oamrp.doc new file mode 100644 index 0000000..87cc1ad --- /dev/null +++ b/docs/roteiro_apresentacao_oamrp.doc @@ -0,0 +1,102 @@ +{\rtf1\ansi\deff0 +{\fonttbl{\f0 Arial;}{\f1 Courier New;}} +\fs24 +\b Roteiro para Apresentacao PowerPoint - OAMRP v1\b0\par +\par +\b Tema:\b0 Aircraft Routing - Esquadrao Arara (Transporte C-95/C-105)\par +\b Objetivo da apresentacao:\b0 apresentar uma primeira ideia de modelo matematico/computacional para apoiar a atribuicao de aeronaves a missoes de transporte, considerando prioridade operacional, continuidade de rota, tempo minimo em solo e limite de horas ate inspecao.\par +\par +\b Ideia inicial 1 - Modelo MIP compacto para atribuicao de aeronaves\b0\par +\par +Esta primeira ideia usa um modelo de programacao inteira mista (MIP) para escolher quais missoes serao cumpridas e por qual aeronave. Nesta versao, Manaus (MN) foi definida como base operacional do Esquadrao Arara, e as missoes simuladas partem de MN para outras localidades representativas da malha da FAB. As missoes sao informadas com data e hora UTC, como em uma planilha operacional, e o codigo converte internamente para horas decimais no horizonte de planejamento. O foco nao e minimizar custo, como em modelos civis tradicionais, mas maximizar o cumprimento ponderado de missoes, dando maior peso as missoes de maior prioridade.\par +\par +O modelo trata cada missao como opcional. Isso significa que uma missao pode ficar de fora quando nao houver aeronave disponivel, quando a conexao temporal/geografica nao for viavel, ou quando o limite de horas de celula ate a proxima inspecao impedir a execucao segura da rota.\par +\par +\b Estrutura sugerida dos slides\b0\par +\par +\b Slide 1 - Titulo\b0\par +Titulo sugerido: Otimizacao de Rotas e Atribuicao de Aeronaves no Esquadrao Arara.\par +Fala sugerida: Esta apresentacao mostra uma primeira proposta de ferramenta de apoio a decisao para distribuir aeronaves C-95/C-105 entre missoes de transporte, respeitando restricoes operacionais e de manutencao.\par +\par +\b Slide 2 - Problema operacional\b0\par +Mensagem central: o esquadrao precisa decidir rapidamente quais aeronaves atendem quais missoes, mantendo coerencia de rota, disponibilidade temporal e margem de horas antes da inspecao.\par +Pontos para apresentar:\par +- Ha varias missoes com origens, destinos, horarios e prioridades diferentes.\par +- Cada aeronave parte de Manaus (MN), base operacional do Arara nesta simulacao, e possui horas acumuladas desde a ultima inspecao.\par +- Nem toda combinacao de missoes e viavel para uma mesma aeronave.\par +\par +\b Slide 3 - Objetivo do modelo\b0\par +Mensagem central: maximizar o valor operacional das missoes cumpridas e, em segundo nivel, organizar o uso do LRT para apoiar a manutencao.\par +Fala sugerida: Em vez de obrigar que todas as missoes sejam atendidas, o modelo escolhe o melhor conjunto possivel. Missoes mais importantes recebem maior peso. Depois de encontrar a melhor prioridade operacional, o modelo escolhe a distribuicao que reduz o LRT restante ponderado, priorizando aeronaves mais proximas da manutencao.\par +\par +\b Slide 4 - Entradas do modelo\b0\par +Entradas usadas na versao inicial:\par +- Base operacional simulada: MN, Manaus.\par +- Base habilitada a inspecao: MN, Manaus.\par +- Turnaround minimo: 1 hora.\par +- Limite de horas ate inspecao obrigatoria: 100 horas.\par +- Aeronaves: FAB-2301, FAB-2302, FAB-2303 e FAB-2304.\par +- Missoes: 20 missoes simuladas entre Manaus e outras localidades, incluindo BR, BE, PV, BV, GL, CG, RF e NT.\par +- Horarios das missoes: entrada em data/hora UTC, com possibilidade de carregar CSV exportado de planilha.\par +\par +\b Slide 5 - Restricoes consideradas\b0\par +Restricoes principais:\par +- Cada missao pode ser cumprida por no maximo uma aeronave.\par +- A aeronave so pode iniciar uma rota em uma missao que parte de sua base inicial.\par +- A continuidade da rota exige que o destino de uma missao seja a origem da proxima.\par +- Deve haver turnaround minimo entre chegada e nova partida.\par +- A soma das horas voadas por aeronave nao pode ultrapassar o LRT disponivel.\par +\par +\b Slide 6 - Resultado da execucao inicial\b0\par +Resultado obtido ao rodar o arquivo software/oamrp_v1.py:\par +\par +{\f1 +STATUS: Optimal\par +Missoes cumpridas: 20/20\par +Prioridade obtida: 74/74\par +Todas as missoes foram atendidas\par +Horizonte inicia em UTC: 2026-07-01T06:00:00Z\par +LRT restante total: 124h\par +Criterio secundario: menor LRT restante ponderado para manutencao\par +}\f0 +\par +Fala sugerida: Com os dados de exemplo, o solver encontrou uma solucao otima. As 20 missoes simuladas foram cumpridas, com aproveitamento integral da prioridade operacional planejada. Em seguida, a solucao foi refinada para usar melhor o LRT das aeronaves mais proximas da manutencao.\par +\par +\b Slide 7 - Distribuicao das aeronaves\b0\par +Rotas encontradas:\par +\par +{\f1 +FAB-2301: M07 -> M08\par +FAB-2302: M01 -> M02 -> M11 -> M12 -> M13 -> M14 -> M19 -> M20\par +FAB-2303: M05 -> M06 -> M09 -> M10 -> M15 -> M16 -> M17 -> M18\par +FAB-2304: M03 -> M04\par +}\f0 +\par +Fala sugerida: O resultado mostra uma sequencia coerente para cada aeronave. Cada rota respeita origem, destino, horarios e limite de horas disponiveis ate a inspecao.\par +\par +\b Slide 8 - Leitura operacional do resultado\b0\par +Mensagem central: a malha simulada mostra que a frota consegue cumprir o pacote completo de missoes, mas algumas aeronaves ficam mais pressionadas pelo limite de horas.\par +Pontos para apresentar:\par +- A prioridade total possivel era 74.\par +- A solucao atingiu 74 pontos de prioridade.\par +- Todas as missoes foram cumpridas.\par +- A FAB-2302 e a FAB-2304 ficaram com LRT restante igual a 0 hora, mostrando aeronaves prontas para entrar no ciclo de manutencao.\par +\par +\b Slide 9 - Valor para o planejamento\b0\par +Beneficios da abordagem:\par +- Apoia decisoes rapidas e rastreaveis.\par +- Ajuda a visualizar gargalos de frota, horario e manutencao.\par +- Permite testar cenarios com novas missoes, prioridades ou disponibilidade de aeronaves.\par +- Reduz a dependencia de avaliacao manual quando ha muitas combinacoes possiveis.\par +\par +\b Slide 10 - Proximos passos\b0\par +Evolucoes sugeridas:\par +- Substituir os dados ficticios por dados reais do Esquadrao Arara.\par +- Incluir pousos intermediarios, pernoites e janelas de disponibilidade de tripulacao.\par +- Modelar inspecao com reset de horas em bases habilitadas.\par +- Gerar graficos e tabelas automaticas para uso direto em briefing.\par +- Comparar cenarios: frota completa, aeronave indisponivel, aumento de demanda ou restricao de base.\par +\par +\b Fechamento sugerido\b0\par +Esta versao inicial demonstra que e possivel transformar o problema de atribuicao de aeronaves em um modelo de otimizacao explicavel. Mesmo com dados simples, o modelo ja produz uma solucao coerente, priorizada e aderente as restricoes principais de operacao e manutencao.\par +} diff --git a/software/oamrp_v1.py b/software/oamrp_v1.py index 6b1eebb..9fa4318 100644 --- a/software/oamrp_v1.py +++ b/software/oamrp_v1.py @@ -21,6 +21,10 @@ ============================================================================ """ +import csv +from datetime import datetime, timezone +from pathlib import Path + import pulp # =========================================================================== @@ -28,7 +32,8 @@ import pulp # =========================================================================== # Bases (codigos curtos ficticios). 'S' marca bases HABILITADAS a inspecao. # Na FAB o conjunto de bases habilitadas e' restrito -> isso aperta o routing. -BASES_INSPECAO = {"BR", "GL"} # ex.: Brasilia (hub do esq.) e Galeao +# MN representa Manaus, base operacional do Esquadrao Arara nesta simulacao. +BASES_INSPECAO = {"MN"} # Manaus TURNAROUND_MIN_H = 1.0 # tempo minimo em solo entre 2 missoes (h) LIMITE_HORAS_F = 100.0 # horas de celula ate inspecao obrigatoria @@ -38,31 +43,85 @@ LIMITE_HORAS_F = 100.0 # horas de celula ate inspecao obrigatori # 'horas_acum' = f_k. LRT inicial de cada aeronave = LIMITE_HORAS_F - f_k. AERONAVES = [ # id base horas_acum - ("FAB-2301", "BR", 12.0), - ("FAB-2302", "BR", 71.0), # ja gastou muito -> pouco LRT disponivel - ("FAB-2303", "GL", 30.0), - ("FAB-2304", "BR", 95.0), # quase no limite -> mal consegue voar + ("FAB-2301", "MN", 12.0), + ("FAB-2302", "MN", 71.0), # ja gastou muito -> pouco LRT disponivel + ("FAB-2303", "MN", 30.0), + ("FAB-2304", "MN", 95.0), # quase no limite -> mal consegue voar ] -# ----- Missoes de transporte: (id, origem, destino, partida_h, chegada_h, prioridade) -# partida/chegada em horas decimais dentro do horizonte (ex.: 0..72 = 3 dias). -# prioridade: peso da missao (missao critica pesa mais). -MISSOES = [ - # id orig dest part cheg prio - ("M01", "BR", "MN", 6.0, 10.0, 5), # logistica Amazonia (alta prio) - ("M02", "MN", "BR", 12.0, 16.0, 5), - ("M03", "BR", "RF", 7.0, 10.0, 3), - ("M04", "RF", "BR", 11.5, 14.5, 3), - ("M05", "BR", "CG", 8.0, 10.0, 2), - ("M06", "CG", "BR", 11.0, 13.0, 2), - ("M07", "GL", "BR", 6.5, 8.0, 4), - ("M08", "BR", "BE", 9.0, 12.5, 4), # Belem - ("M09", "BE", "BR", 14.0, 17.5, 4), - ("M10", "BR", "GL", 15.0, 16.5, 1), - ("M11", "BR", "MN", 30.0, 34.0, 5), # dia 2 - ("M12", "MN", "BR", 36.0, 40.0, 5), +# ----- Missoes de transporte +# Entrada recomendada: data/hora UTC, como viria de uma planilha. +# Para usar uma planilha, exporte para CSV com as colunas: +# id,orig,dest,partida_utc,chegada_utc,prioridade +# e preencha CSV_MISSOES_PATH com o caminho do arquivo. +CSV_MISSOES_PATH = None + +MISSOES_UTC = [ + # id orig dest partida UTC chegada UTC prio + ("M01", "MN", "BR", "2026-07-01T06:00Z", "2026-07-01T10:00Z", 5), + ("M02", "BR", "MN", "2026-07-01T12:00Z", "2026-07-01T16:00Z", 5), + ("M03", "MN", "BE", "2026-07-01T06:30Z", "2026-07-01T09:00Z", 4), + ("M04", "BE", "MN", "2026-07-01T11:00Z", "2026-07-01T13:30Z", 4), + ("M05", "MN", "PV", "2026-07-01T07:00Z", "2026-07-01T09:00Z", 3), + ("M06", "PV", "MN", "2026-07-01T10:30Z", "2026-07-01T12:30Z", 3), + ("M07", "MN", "BV", "2026-07-01T08:00Z", "2026-07-01T09:30Z", 3), + ("M08", "BV", "MN", "2026-07-01T11:00Z", "2026-07-01T12:30Z", 3), + ("M09", "MN", "GL", "2026-07-01T18:00Z", "2026-07-01T23:00Z", 4), + ("M10", "GL", "MN", "2026-07-02T01:00Z", "2026-07-02T06:00Z", 4), + ("M11", "MN", "CG", "2026-07-01T20:00Z", "2026-07-01T23:00Z", 2), + ("M12", "CG", "MN", "2026-07-02T01:00Z", "2026-07-02T04:00Z", 2), + ("M13", "MN", "RF", "2026-07-02T06:00Z", "2026-07-02T11:00Z", 4), + ("M14", "RF", "MN", "2026-07-02T13:00Z", "2026-07-02T18:00Z", 4), + ("M15", "MN", "NT", "2026-07-02T08:00Z", "2026-07-02T12:30Z", 3), + ("M16", "NT", "MN", "2026-07-02T14:00Z", "2026-07-02T18:30Z", 3), + ("M17", "MN", "BR", "2026-07-03T00:00Z", "2026-07-03T04:00Z", 5), + ("M18", "BR", "MN", "2026-07-03T06:00Z", "2026-07-03T10:00Z", 5), + ("M19", "MN", "BE", "2026-07-03T02:00Z", "2026-07-03T04:30Z", 4), + ("M20", "BE", "MN", "2026-07-03T06:00Z", "2026-07-03T08:30Z", 4), ] +def parse_utc(valor): + """Converte texto ISO UTC da planilha para datetime com timezone.""" + texto = str(valor).strip() + if texto.endswith("Z"): + texto = texto[:-1] + "+00:00" + dt = datetime.fromisoformat(texto) + if dt.tzinfo is None: + dt = dt.replace(tzinfo=timezone.utc) + return dt.astimezone(timezone.utc) + +def carregar_missoes_csv(caminho): + with Path(caminho).open(newline="", encoding="utf-8-sig") as arq: + leitor = csv.DictReader(arq) + return [ + ( + linha["id"], + linha["orig"], + linha["dest"], + linha["partida_utc"], + linha["chegada_utc"], + int(linha["prioridade"]), + ) + for linha in leitor + ] + +def converter_missoes_para_horas(missoes_utc): + datas_partida = [parse_utc(m[3]) for m in missoes_utc] + horizonte_inicio = min(datas_partida) + missoes_horas = [] + for mid, orig, dest, partida_utc, chegada_utc, prio in missoes_utc: + partida = parse_utc(partida_utc) + chegada = parse_utc(chegada_utc) + if chegada <= partida: + raise ValueError(f"Missao {mid}: chegada_utc deve ser depois de partida_utc") + part_h = (partida - horizonte_inicio).total_seconds() / 3600 + cheg_h = (chegada - horizonte_inicio).total_seconds() / 3600 + missoes_horas.append((mid, orig, dest, part_h, cheg_h, prio)) + return missoes_horas, horizonte_inicio + +MISSOES_FONTE = carregar_missoes_csv(CSV_MISSOES_PATH) if CSV_MISSOES_PATH else MISSOES_UTC +MISSOES, HORIZONTE_INICIO_UTC = converter_missoes_para_horas(MISSOES_FONTE) + # =========================================================================== # 2) PRE-PROCESSAMENTO (gera conexoes viaveis) # =========================================================================== @@ -95,7 +154,7 @@ c = {(k, i, j): pulp.LpVariable(f"c_{k}_{i}_{j}", cat="Binary") # k voa i de for k in KS for (i, j) in conex} z = {i: pulp.LpVariable(f"z_{i}", cat="Binary") for i in IDS} # missao coberta -# --- Objetivo: maximizar prioridade total das missoes cumpridas +# --- Objetivo primario: maximizar prioridade total das missoes cumpridas mdl += pulp.lpSum(miss[i]["prio"] * z[i] for i in IDS), "Missoes_cumpridas_ponderadas" # --- (R1) Cobertura: cada missao por NO MAXIMO uma aeronave @@ -133,6 +192,24 @@ for k in KS: # 4) RESOLVER # =========================================================================== solver = pulp.PULP_CBC_CMD(msg=False) # troque por HiGHS se instalado + +# Etapa 1: maximiza o cumprimento ponderado das missoes. +mdl.solve(solver) +prio_otima = int(pulp.value(mdl.objective)) + +# Etapa 2: mantendo a prioridade otima, minimiza o LRT restante ponderado. +# Como as horas totais voadas podem ser constantes quando todas as missoes sao +# cumpridas, o peso prioriza consumir LRT das aeronaves mais proximas da +# manutencao, sem sacrificar nenhuma missao prioritaria da primeira etapa. +lrt_restante = { + k: (LIMITE_HORAS_F - acft[k]["f"]) - + pulp.lpSum(miss[i]["dur"] * x[(k, i)] for i in IDS) + for k in KS +} +pesos_lrt = {k: 1 / (LIMITE_HORAS_F - acft[k]["f"]) for k in KS} +mdl += pulp.lpSum(miss[i]["prio"] * z[i] for i in IDS) == prio_otima, "fixa_prioridade_otima" +mdl.sense = pulp.LpMinimize +mdl.setObjective(pulp.lpSum(pesos_lrt[k] * lrt_restante[k] for k in KS)) mdl.solve(solver) # =========================================================================== @@ -140,11 +217,17 @@ mdl.solve(solver) # =========================================================================== print("=" * 70) print(f" STATUS: {pulp.LpStatus[mdl.status]}") +print(f" Horizonte inicia em UTC: {HORIZONTE_INICIO_UTC.isoformat().replace('+00:00', 'Z')}") prio_tot = sum(miss[i]["prio"] for i in IDS) -prio_obt = int(pulp.value(mdl.objective)) +prio_obt = prio_otima cob = [i for i in IDS if z[i].value() and z[i].value() > 0.5] print(f" Missoes cumpridas: {len(cob)}/{len(IDS)} " f"| Prioridade obtida: {prio_obt}/{prio_tot}") +lrt_total = sum((LIMITE_HORAS_F - acft[k]["f"]) - + sum(miss[i]["dur"] * x[(k, i)].value() for i in IDS) + for k in KS) +print(f" LRT restante total: {lrt_total:g}h") +print(" Criterio secundario: menor LRT restante ponderado p/ manutencao") print("=" * 70) def rota_da_aeronave(k): @@ -185,4 +268,4 @@ if descobertas: # NOTA - usar HiGHS (recomendado p/ instancias maiores, sem licenca): # pip install highspy # solver = pulp.HiGHS(msg=False) # PuLP 3.x expoe HiGHS nativo -# --------------------------------------------------------------------------- \ No newline at end of file +# ---------------------------------------------------------------------------