Automobile repair and maintenance process monitoring and displaying system and method based on internet of things

Abstract

The invention discloses an automobile repair and maintenance process monitoring and displaying system and method based on an internet of things. The system comprises a repair flow setting module, a repair flow execution control module, a mobile end data receiving and processing module, a measuring and collection device based on the internet of things, a mobile working process video collection device, a mobile end repair progress and detail display module and a repair data cloud database. The method is applicable to automobile repair and maintenance monitoring of an automobile repair enterprise, and compared with the prior art, the method has the effects that 1), quality monitoring automation and datamation of the repair work process are realized; 2) the transparency in the repair work process is improved, and repair integrity degree is increased; and 3) the work efficiency is improved based on repair guidance of repair steps, and the training time is shortened.

Description

technical field [0001] The invention belongs to an automobile maintenance quality control system and method, in particular to a system and method for monitoring and displaying an automobile maintenance process based on the Internet of Things. Background technique [0002] With the continuous growth of China's car ownership, China's auto aftermarket, represented by auto maintenance, has developed rapidly and has gradually become a trillion-dollar industry. Although the market is huge, more than 400,000 auto repair companies have problems such as difficult maintenance quality control, insufficient guidance on the maintenance process, and difficulties in brand building caused by low trust from car owners. The specific manifestations are as follows: [0003] 1) The quality supervision of the maintenance operation process is still at the level of the paper manual specification. Currently, the operation process data is filled in by the operators themselves, and the supervisors can...

AI Technical Summary

Problems solved by technology

[0003] 1) The quality supervision of the maintenance operation process is still at the level of the paper manual specification. Currently, the operation process data is filled in by the operators themselves, and the supervisors can only conduct on-site inspections occasionally. Effective technical means to enforce the guarantee; 2) Many models of maintenance lead to heavy learning tasks for maintenance workers, but most of the current maintenance guidance is paper or electronic manuals, it is difficult to give specific and timely guidance on specific maintenance steps, resulting in slow learning for newcomers , for example, it takes about one year to learn the maintenance operation of a certain brand of car; 3) The maintenance operation process is generally shown to the car owner roughly through video surveillance, but the car owner has a strict understanding of the replacement standards and actual measurement values ​​of important parts (determining whether it should be replaced) standard), the actual pictures of the faulty parts and other details are difficult to check and understand, and it is easy to give the car owner the impression that "it's up to you anyway, I can only pay more", resulting in insufficient transparency of maintenance and low trust of car owners , Difficult to establish a corporate brand, etc.

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