机动车维修及保养知识库数据集

本数据集基于智能汽车表面修复管理系统的机动车维修及保养知识库整理而成，涵盖物流运单及线路相关数据，为汽车后市场服务、物流运输及智能养护提供多模态数据支持。数据集包含超过50万条记录，涵盖结构化数据（如维修工单、配件清单、物流运单）、非结构化数据（如车辆损伤图片、维修视频、技术文档），总数据量约100TB，每日新增数据约5GB。数据来源覆盖全国30个省级行政区，涉及乘用车、商用车等主流车型，包含4S店、连锁维修厂及第三方物流企业的维修保养记录。物流数据涵盖干线运输、城配线路等场景，包含路径规划、时效分析及成本核算字段。This dataset is compiled from the motor vehicle maintenance and repair knowledge base of the intelligent automobile surface repair management system, covering logistics waybills and route-related data, providing multi-modal data support for auto aftermarket services, logistics transportation and intelligent vehicle maintenance. The dataset contains more than 500,000 records, including structured data (e.g., maintenance work orders, parts lists, logistics waybills) and unstructured data (e.g., vehicle damage images, maintenance videos, technical documents), with a total data volume of approximately 100 TB and a daily incremental data volume of about 5 GB. The data sources span 30 provincial-level administrative regions across China, cover mainstream vehicle types such as passenger vehicles and commercial vehicles, and include maintenance records from 4S dealerships, chain repair shops and third-party logistics enterprises. The logistics data covers scenarios including trunk line transportation and urban distribution routes, with fields related to route planning, timeliness analysis and cost accounting.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于机动车维修及保养领域的知识库，包含超过50万条记录，总数据量约100TB，涵盖结构化数据（如维修工单、物流运单）和非结构化数据（如车辆损伤图片、维修视频）。数据来源覆盖全国30个省级行政区，涉及多种车型和维修场景，适用于智能诊断、物流优化及供应链管理等应用，为汽车后市场服务和物流运输提供多模态数据支持。