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作 者:陈锐[1] 袁冠男 CHEN Rui;YUAN Guan-nan(Harbin Vocational&Technical College,Harbin 150081,China)
出 处:《中小企业管理与科技》2021年第19期185-186,共2页Management & Technology of SME
基 金:百万扩招学生精准人才培养模式实践研究,编号:GZB1320226。
摘 要:在汽车产业快速发展的同时,其也在不断与现代化技术手段融合发展,这既提升了汽车的安全性和功能性,也导致汽车结构日趋复杂,涌现出很多故障问题。传统维修技术已经无法满足实际需求,迫切需要选用新技术、新方法来解决故障问题。在汽车维修中,应用数据流技术可以自动化获取数据,并提供给维修人员,快速对故障进行定位,从而及时处理问题,大大降低故障发生概率。论文就汽车维修工作展开分析,在了解数据流技术相关定义的基础上,制定有效的措施并积极落实。The automobile industry is developing rapidly,at the same time,it is also constantly integrating and developing with modern technologies and means,which not only improves the safety and functionality of the automobile,but also leads to the increasingly complex structure of the automobile,and many breakdowns and problems emerge.Traditional maintenance technology has been unable to meet the actual needs,it is urgent to choose new technologies and methods to solve the breakdowns and problems.In automobile maintenance,the application of data stream technology can automatically obtain data and provide it to maintenance personnel to quickly locate the breakdown,so as to deal with it in time and greatly reduce the probability of breakdown occurrence.This paper analyzes the automobile maintenance work,on the basis of understanding the definition of data stream technology,formulate effective measures and actively implement them.
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