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Intelligent traffic unmanned vehicle fault gene diagnosis method and system

A technology of unmanned vehicles and intelligent transportation, which is applied in the field of fault gene diagnosis methods and systems of unmanned vehicles in intelligent transportation, and can solve the problems of maintenance cost performance, timeliness discount, lack of coping methods, etc.

Pending Publication Date: 2021-05-25
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, there are certain limitations for local fault diagnosis. It can only deal with some common minor faults, but it lacks solutions for some difficult and miscellaneous diseases. When the fault diagnosis level rises to remote diagnosis or even expert diagnosis, its Maintenance cost-effective, timeliness are greatly reduced

Method used

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  • Intelligent traffic unmanned vehicle fault gene diagnosis method and system
  • Intelligent traffic unmanned vehicle fault gene diagnosis method and system
  • Intelligent traffic unmanned vehicle fault gene diagnosis method and system

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Embodiment Construction

[0048] The implementation process of the embodiment of the present invention includes the following steps:

[0049] 1. Carry out a variety of data collection based on LabVIEW auto parts, and increase the timely richness of data through vehicle interconnection;

[0050] 2. The collected voltage waveform E dy , current waveform E dl , temperature waveform E wd , vibration waveform E zd Integrate into data matrix X * , input to the RNNs network to eliminate outliers, output a new X, and then input the new X to the fault detection module to detect the fault signal, and obtain the matrix data E;

[0051] 3. Convert E into a codable gene sequence O expressed by four bases A, T, C, and G by NMF dimensionality reduction method 1 ,O 2 ,O 3 ,O 4 ;

[0052] 4. Put O 1 ,O 2 ,O 3 ,O 4 Integrate into DNA sequence S=S 1 ,S 2 ,S 3 ,...,S N , after a series of operations of feature extraction, the pre-determined candidate vehicle component fault gene V s ;

[0053] 5. The pr...

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Abstract

The invention discloses an intelligent traffic unmanned vehicle fault gene diagnosis method and system, and the combination of a virtual LabVIEW graphical data collection system and the existing CAN, vehicle-mounted Ethernet and WiFi provides guarantee for the demand of a large amount of historical data. Big data vehicle-mounted interconnection, vehicle fault information detection, gene signal conversion, encodable gene sequence feature extraction, DNA sequence template library establishment of a fault module and deep learning artificial intelligence modeling are mutually matched, and the position and type of a vehicle fault are accurately recognized.

Description

technical field [0001] The invention relates to the field of vehicle fault identification, in particular to a fault gene diagnosis method and system for an intelligent traffic driverless vehicle. Background technique [0002] The intelligence of transportation is one of the cores of the current and future development of the transportation industry. Unmanned vehicles are an important embodiment and core representative of the intelligence level of the transportation industry. It is the basic operation mode of future traffic vehicles. Compared with railway transportation, road transportation has the characteristics of flexible routes and good time controllability. Unmanned vehicles can reduce traffic congestion and management pressure, lower the driver's threshold and reduce the user's energy consumption. In addition, the biggest advantage of smart cars is to reduce traffic accidents and casualties, and a systematic driverless strategy can effectively avoid traffic accidents...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/086G06F2218/10G06F2218/12G06F18/2414Y02T10/40
Inventor 刘辉杨睿王佳康尹昱成谭静
Owner CENT SOUTH UNIV
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