Method and device of car emission fault detection and diagnosis based on fuzzy reasoning and self-learning

A technology of fuzzy reasoning and vehicle emissions, applied in biological neural network models, internal combustion engine testing, etc., can solve problems such as failure to control exhaust gas, incomplete maintenance, and incomplete maintenance

Active Publication Date: 2013-05-08
林惠堂 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The method of relying on experience, luck or relying on additives is prone to problems of incomplete and inadequate maintenance, and the purpose of controlling exhaust gas cannot be achieved

Method used

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  • Method and device of car emission fault detection and diagnosis based on fuzzy reasoning and self-learning
  • Method and device of car emission fault detection and diagnosis based on fuzzy reasoning and self-learning
  • Method and device of car emission fault detection and diagnosis based on fuzzy reasoning and self-learning

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Embodiment 1

[0059] Such as figure 1 As shown, a vehicle emission fault diagnosis device based on fuzzy reasoning and self-learning, including chassis dynamometer, exhaust gas analyzer, flow meter, computer system for vehicle emission detection and emission fault diagnosis. The computer system also includes detection control and management (CM) module, data acquisition and signal output (CO) module, data storage (DS) module, fault diagnosis (FD) module, self-learning management (MM) module and input and output (IO) module. The data acquisition and signal output module is connected with the chassis dynamometer, exhaust gas meter, and flowmeter, and is used to output control parameters to the automobile chassis dynamometer, and collect exhaust gas analyzer and flowmeter data; the detection control and management module is used to control the detection process , to receive vehicle emission data and perform calculations and corrections on the data; the data storage module is used to store dat...

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Abstract

The invention discloses a method and a device of car emission fault detection and diagnosis based on fuzzy reasoning and self-learning and belongs to the field of car maintenance and diagnosis. The method of the car emission fault detection and diagnosis based on the fuzzy reasoning and the self-learning comprises collecting all data values of a to-be-tested car exhaust gas under different working conditions, comparing the data values with standard values, if the data values reach the standard values, then the diagnosis is finished, if the data values do not reach the standard values, then confirming the possible corresponding causes of the problem according to a built fuzzy diagnosis matrix through a fuzzy reasoning method and outputting a diagnosis result, implementing maintenance according to the diagnosis result until the data value reaches the standard value through staff, and at last correspondingly updating vehicle profile information and the right fault diagnosis information of the diagnosis result to a data base to be used for self-learning and adjusting the fuzzy diagnosis matrix. According to the method and the device of the car emission fault detection and diagnosis based on the fuzzy reasoning and the self-learning, a car emission fault example is studied through the fuzzy reasoning, fault features are extracted from a large amount of samples, detection accuracy is high, dependency of the technical merit of the operators is low, and operation is convenient.

Description

technical field [0001] The invention belongs to the field of automobile maintenance, in particular to a method and device for detecting and diagnosing automobile emission faults based on fuzzy reasoning and self-learning. Background technique [0002] With the continuous improvement of people's living standards and the continuous change of lifestyles, motor vehicles have become the main means of transportation in society. While they bring convenience to people's lives, the waste gas pollution they produce is also harmful to the environment and people's health. caused immeasurable damage. According to the national census of pollution sources published by the Ministry of Environmental Protection, the primary culprit of urban air pollution is exhaust emissions from motor vehicles. At the same time, the fuel consumption of motor vehicles that generate exhaust gas will also increase. In the "Twelfth Five-Year Plan", the country focused on energy conservation and emission reduct...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M15/10G06N3/02
Inventor 林惠堂洪家龙
Owner 林惠堂
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