车辆故障精准诊断与维修流程数字化数据集

设定车辆故障分类标准，根据AlarmType（报警类型）、DevStatus（设备状态）、故障发生场景等维度，划分电池系统、制动系统、视频设备等12类细分故障类型；制定“故障诊断-维修执行-质检闭环”全流程规则，故障触发后10分钟内生成标准化维修方案，维修后需通过BrakeForce（制动力检测数据）、SOH（电池健康度）等8项核心指标质检，合格率100%方可交车；建立维修知识库更新规则，每月统计高频故障TOP10与低效维修环节，优化标准化维修流程。

A vehicle fault classification standard is formulated, which categorizes 12 subdivided fault types including battery systems, brake systems, video equipment and others based on dimensions such as AlarmType, DevStatus and fault occurrence scenarios. A full-process rule covering "fault diagnosis - maintenance execution - closed-loop quality inspection" is established: a standardized maintenance plan shall be generated within 10 minutes after a fault is triggered; after maintenance, quality inspection must be conducted against 8 core indicators including BrakeForce (brake force detection data) and SOH (State of Health, battery health level), and the vehicle can only be delivered when the qualified rate reaches 100%. A maintenance knowledge base update rule is also established, which counts the top 10 high-frequency faults and inefficient maintenance links every month to optimize the standardized maintenance workflow.

搜集汇总

背景与挑战

背景概述

该数据集由凯里汽车运输公司创建，规模为25GB，每日更新，专注于客运车辆的故障诊断与维修流程数字化。它整合了报警类型、行驶速度、维修记录等核心数据，构建了从故障触发到质检闭环的全链路管理体系，旨在通过标准化方案和实时跟踪提升维修效率、降低返修率，并支持企业知识库优化。