Vehicle fault automatic diagnosis method, device and apparatus

Abstract

The invention discloses a vehicle fault automatic diagnosis method, device and apparatus. According to the specific conception, a vehicle fault knowledge graph used for storing and accumulating vehicle fault knowledge is built, and possible fault reasons are predicted and deduced in combination with input fault description; and then a target result is selected from the possible fault causes by utilizing a preset strategy, namely, a final fault cause is determined. On one hand, accumulated knowledge related to vehicle faults is sorted and concluded, element association is established, and a knowledge graph system is summarized; and on the other hand, the technical thought of searching for the vehicle according to the picture and the technical thought of first diagnosis and then confirmationdiagnosis are combined, so that in the operation process of vehicle fault diagnosis, the specific real cause of the vehicle fault can be comprehensively, efficiently and accurately locked without investment of a large amount of manpower or dependence on limitation of a single code or detection hardware.

Description

technical field [0001] The invention relates to the field of vehicle fault diagnosis, in particular to a vehicle fault automatic diagnosis method, device and equipment. Background technique [0002] Vehicle fault diagnosis, as the name suggests, is to conduct "diagnosis and treatment" for vehicles. That is, when there is a potential failure of the vehicle, which leads to deterioration of the vehicle condition or partial / complete loss of certain functions, it will perform fault judgment and abnormal identification for the vehicle, including identifying the fault location and analyzing the cause, and then formulate a troubleshooting plan based on the diagnosis results. Countermeasures, of course, vehicle fault diagnosis technology can also make predictions and forecasts for the future status of vehicles. [0003] However, the vehicle fault diagnosis methods currently used, such as manual diagnosis, vehicle self-diagnosis and automatic fault detection, have their own defects a...

AI Technical Summary

Problems solved by technology

[0003] However, the vehicle fault diagnosis methods currently used, such as manual diagnosis, vehicle self-diagnosis and automatic fault detection, have their own defects at different levels, for example: either rely too much on manual experience and high labor costs, or rely on the established simple The code may be limited by the hardware conditions for collecting status information, which makes the analysis of the cause of the fault insufficient and inaccurate

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