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作 者:张博智[1] 陈品同 Zhang Bo-zhi;Chen Pin-tong(Shenyang Automotive Engineer School,Liaoning Shenyang 110122)
出 处:《内燃机与配件》2022年第8期99-101,共3页Internal Combustion Engine & Parts
摘 要:随着汽车故障诊断技术的发展和广泛应用,传统的维修诊断方法已经不能够满足汽车维修行业的需求和汽车维修专业学生的学习,当下进入大数据时代,对汽车故障诊断数据库的需求量在不断增加。汽车发生故障不仅影响汽车的使用,严重时还将直接危及到车辆人身的安全性。所以,关于故障的预测和快速解决,避免故障的演变和突发是故障诊断一项十分重要的环节。本设计旨在为实现自动化管理模式,以最快的速度查询汽车故障诊断相关数据。With the development and wide application of automobile fault diagnosis technology,the traditional maintenance and diagnosis methods can not meet the needs of automobile maintenance industry and the learning of automobile maintenance students.At present,entering the era of big data,the demand for automobile fault diagnosis database is increasing.Vehicle failure not only affects the use of the vehicle,but also directly endangers the personal safety of the vehicle.Therefore,it is a very important part of fault diagnosis to predict and solve the fault quickly and avoid the evolution and burst of fault.This design aims to realize the automatic management mode and query the relevant data of automobile fault diagnosis at the fastest speed.
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