Intelligent vehicle quality inspection method and system

Abstract

The invention discloses an intelligent vehicle quality inspection method and system, and the method comprises the steps: obtaining a vehicle quality inspection requirement, and generating a quality inspection data template; sending the quality inspection data template to an inspection terminal, so that the inspection terminal sequentially performs quality inspection or image data acquisition according to inspection items in the quality inspection data template; receiving a quality inspection data template inspected by the inspection terminal; sending the inspected quality inspection data template to a first checking terminal, so that the first checking terminal checks an inspection result; and carrying out associated storage on the collected imaging record data and the checked quality inspection data template. Quality inspection result data, rework and repair record data and the like in the vehicle quality inspection process are all stored in the quality inspection data model and can be associated with corresponding inspection items, and the problems that data storage is troublesome, data cannot be associated and the like caused by paper file recording are solved.

Description

technical field [0001] The invention relates to the technical field of vehicle quality inspection, in particular to an intelligent inspection method and system for vehicle quality. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In the prior art, the quality inspection of vehicles is mainly to inspect the construction conditions of operators, such as bolt fastening, terminal crimping, and dimension inspection. In addition, according to the video operation management method issued by the quality management department and according to different construction procedures and degrees of importance, it also stipulates the inspection items that need to collect video data; the video records here include the photos taken during the quality inspection process. Image information, recorded video information, recorded voice or sound information, etc.; ...

AI Technical Summary

Problems solved by technology

[0005] (1) Although there are requirements for inspection items in the vehicle quality inspection process, there is no standardized operation process, and only the experience of operators and construction personnel is used for inspection; the professional requirements for inspectors are relatively high, and there is a problem of inconsistent inspection standards

[0006] (2) During the quality inspection process, a large number of paper records need to be filled in, for example: the vehicle quality inspection results need to fill in the paper quality inspection result list; the rework record and the rework and rework circulation process only rely on filling in the paper rework and repair form for transmission ; The process of organizing and uploading these paper documents takes a lot of time, and at the same time, there is no connection between the uploaded paper documents

[0007] (3) Vehicle quality inspection often needs to go through the steps of self-inspection-mutual inspection-special inspection; the inspection process between each step is initiated offline, and the real-time delivery of inspection tasks is poor

[0008] (4) Image recording data needs to be collected by a separate data acquisition terminal; due to the large memory usage and slow transmission speed of image recording data, these data are often stored separately by the acquisition terminal; resulting in vehicle quality inspection results files and images The image recording data files are stored separately by different devices, and cannot be associated; when a problem occurs in the vehicle and needs to be traced, the relevant image recording data cannot be obtained in time, and the reliability and traceability of the image recording cannot be guaranteed

[0009] In view of the above-mentioned problems in the current widespread vehicle quality inspection process, no effective solution has been proposed yet

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