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Self-correction self-organizing automobile fault monitoring system

A technology of automobile fault and monitoring system, applied in the direction of vehicle testing, measuring devices, instruments, etc., can solve problems such as heavy workload and achieve good market prospects.

Inactive Publication Date: 2016-12-21
王小兰
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Self-correction self-organizing automobile fault monitoring system

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Embodiment Construction

[0013] The technical solution of the present invention is further described below, but the scope of protection is not limited to the description.

[0014] Such as figure 1 In the shown self-correcting and self-organizing vehicle fault monitoring system, more than ten user hosts 101 form a user group 10, and each user host 101 is respectively connected with a temperature sensor 102, a humidity sensor 103, a sound sensor 104, and an odor sensor 105. Receive the data of temperature sensor 102, humidity sensor 103, sound sensor 104, smell sensor 105, and temperature sensor 102, humidity sensor 103, sound sensor 104, smell sensor 105 are all installed in the car; Described user host 101 selects user group at random Data sent by any other user hosts 101 within 10, receive sensor data and feedback data sent by other user hosts 101, record user use fault data, compare user use fault data with sensor data sent by other user hosts 101 and send The comparison result is sent back to othe...

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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...

Claims

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Application Information

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IPC IPC(8): G01M17/007
CPCG01M17/007
Inventor 王小兰
Owner 王小兰
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