公务用车油耗监管稽核数据集

本数据集用于对公务用车使用行为进行智能分析，旨在精准、自动地识别公务车辆在运行过程中存在加油异常。
通过数字赋能实现公务用车监督实时化、可视化、精准化，服务于集团及各下属单位的公务用车规范化管理。通过在公务车辆上安装基于北斗定位的OBD设备，开展公车使用大数据建模分析，实现对管辖范围内所有公务车辆行驶状态、加油记录、维保情况、封存状况与申请流程的7×24小时自动化监测。具体流程为：系统自动识别用车异常 → 平台生成预警工单并推送 → 责任单位调查核实 → 问题整改与反馈归档。该应用有效改变了传统依赖人工台账、事后抽查的监督模式，大幅提升了公务用车监督的实时性、精准性与处置效率，为防范“四风”问题、降低运行成本、强化廉洁管理提供了关键的技术支撑。

This dataset is designed for intelligent analysis of official vehicle usage behavior, aiming to accurately and automatically identify fueling anomalies during the operation of official vehicles. Through digital empowerment, it realizes real-time, visualized and precise supervision of official vehicles, serving the standardized management of official vehicles for the group and its subordinate units. By installing Beidou positioning-based OBD devices on official vehicles and conducting big data modeling and analysis of official vehicle usage, 24/7 automated monitoring of the driving status, fueling records, maintenance conditions, sealed non-use status and application procedures of all official vehicles within the jurisdiction is achieved. The specific workflow is as follows: the system automatically identifies vehicle usage anomalies → the platform generates and pushes early warning work orders → the responsible unit conducts investigation and verification → problem rectification, feedback and archiving. This application effectively transforms the traditional supervision model relying on manual ledgers and post-event spot checks, greatly improving the real-time performance, accuracy and disposal efficiency of official vehicle supervision, and providing key technical support for preventing the Four Malpractices, reducing operating costs and strengthening clean governance.

搜集汇总

背景与挑战

背景概述

该数据集可能包含公务用车的油耗相关数据，旨在支持油耗监管和稽核工作，但详细信息未在提供的内容中描述。