Fault detection modeling method, device and storage medium of v2x communication module

Abstract

The present invention provides a fault detection and modeling method, device and storage medium for a V2X communication module. The method includes dividing the functions of the V2X communication module to obtain multiple modules that perform different functions; Function disassembly to obtain multiple sub-modules corresponding to each module; determine the intermediate event node corresponding to each module and the bottom event node corresponding to each sub-module, based on multiple intermediate event nodes and bottom event nodes, combined with fault tree algorithm, generate The target fault detection model of the V2X communication module, the target fault detection model includes: multiple intermediate event nodes and bottom event nodes, and priority information of each intermediate event node and bottom event node. The invention can improve the product quality rate and reduce the maintenance cost, meanwhile, the communication fault detection is not limited to the personal experience of the test engineer, and the communication fault detection effect is improved.

Description

technical field [0001] The present invention relates to the technical field of automobiles, in particular to a fault detection and modeling method, device and storage medium for a V2X communication module. Background technique [0002] The V2X communication module includes multiple functional modules such as power supply, radio frequency switch, filter, baseband processing, and transceiver. The types of faults that occur during the production process of the V2X communication module are more complex, and the cause of the fault is relatively uncertain. [0003] In the related technology, after the V2X wireless communication module fails to communicate, the oscilloscope and multimeter are used to measure each functional module one by one, and the possible fault point is judged based on the experience of the on-site test engineer. [0004] In this way, fault detection depends entirely on the personal experience of test engineers, and it is impossible to visually provide training...

AI Technical Summary

Problems solved by technology

[0004] In this way, fault detection depends entirely on the personal experience of test engineers, and it is impossible to provide visual training and guidance for novice test engineers. The error of fault detection is relatively large, and the detection efficiency is not high.

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