Knowledge base-based automobile remote intelligent diagnosis method and system

A technology of intelligent diagnosis and knowledge base, applied in the field of Internet of Vehicles, can solve problems such as diagnosis dependence

Active Publication Date: 2015-11-11
RAINBOW WIRELESS BEIJING NEW TECH CO LTD
View PDF5 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two problems in these two methods: 1. They are all post-analysis methods for faults; 2. The diagnosis of faults depends on experienced maintenance personnel.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Knowledge base-based automobile remote intelligent diagnosis method and system
  • Knowledge base-based automobile remote intelligent diagnosis method and system
  • Knowledge base-based automobile remote intelligent diagnosis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0062] figure 1 It is a flow chart of the knowledge base-based remote intelligent diagnosis method for automobiles in Embodiment 1 of the present invention.

[0063] Such as figure 1 As shown, a knowledge base-based remote intelligent diagnosis method for automobiles includes the following steps:

[0064] Step 1, build a vehicle health check model;

[0065] The vehicle health check-up model includes a vehicle total score calculation model and a sub-indicator threshold model;

[0066] The vehicle total score calculation model includes the calculation method of the vehicle total score and the division of the vehicle's health status according to the vehicle total score;

[0067] The calculation method of the vehicl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a knowledge base-based automobile remote intelligent diagnosis method and system. The method comprises the following steps: establishing an automobile health examination model; acquiring the data flow of the current automobile; and substituting the data flow of the current automobile into the automobile health examination model to obtain the health examination report of the current automobile. The system comprises an automobile health examination model establishing module, a current automobile data flow acquisition module and a current automobile health examination report generation module, wherein the automobile health examination model establishing module is used for establishing the automobile health examination model; the current automobile data flow acquisition module is used for acquiring the data flow of the current automobile; and the current automobile health examination report generation module is used for substituting the data flow of the current automobile into the automobile health examination model to obtain the health examination report of the current automobile. According to the knowledge base-based automobile remote intelligent diagnosis method and system, the problem that the automobile failures and risks are lag in response and depend on the repairmen can be solved, and predictive abnormity diagnosis can be carried out through the data flow and intelligent computer analysis can be carried out through the automobile health examination model so as to correctly find the reasons of problems.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles, in particular to a knowledge base-based remote intelligent diagnosis method and system for automobiles. Background technique [0002] At present, the application of the Internet of Vehicles is gradually deepening. With the installation of rear-installed OBD equipment and front-installed integrated equipment on automobiles, more and more vehicles are included in the scope of full coverage of information. As a comprehensive information service terminal, on the one hand, the car continuously sends the operating data of each subsystem of the vehicle to the remote server, and on the other hand, it obtains various information from the Internet, including news, audio, video, location-based services etc. [0003] At present, many methods for car diagnosis mainly include diagnostic equipment and remote diagnosis system. Diagnostic equipment is generally used for on-site diagnostic and analysis tools ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 黄亮王建波祁超
Owner RAINBOW WIRELESS BEIJING NEW TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap