Self-correction self-organizing automobile fault monitoring system

Abstract

The invention provides a self-correction self-organizing automobile fault monitoring system. More than 10 user hosts form a user group. Each user host is connected with a temperature sensor, a humidity sensor, a sound sensor and a smell sensor and used for receiving data from the temperature sensor, the humidity sensor, the sound sensor and the smell sensor. The temperature sensor, the humidity sensor, the sound sensor and the smell sensor are installed in an automobile. According to the invention, through self-organizing and self-correction arrangement of the user hosts, the system is capable of automatically establishing and enabling a fault judging module during a using process of the automobile, so a problem of too heavy workload is solved; selection of different optimal data modules for different automobiles can be performed without massive calculation performed by special personnel or machines; users can freely operate the system; and the system has a profound market prospect.

Description

technical field [0001] The invention relates to a self-correcting and self-organizing automobile fault monitoring system. Background technique [0002] In the prior art, based on the development of sensor technology, for car failures, users can observe the warnings on the dashboard to assist in judging the situation. Pay attention to many details in the process, which is not a small test for the actual use of users. [0003] In recent years, based on the rise of machine learning algorithms, there has been a technology for machines to automatically interpret data models. In the field of automotive fault monitoring, it may be possible to use data models to judge faults based on more sensor data. However, in the prior art, this technology Most of the applications are implemented through an expert system host, and there are thousands of algorithms for building data models, and there are thousands of corresponding data model types. At the same time, different users may have diff...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the present invention provides a self-correcting self-organizing vehicle fault monitoring system, which can make the system self-organizing and self-correcting during the use of the vehicle through the self-organizing and self-correcting settings of the user host. Establish a fault discrimination model and apply it, thus solving the above-mentioned problem of excessive workload

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