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Big data intelligent system for accurate diagnosis of automobile faults

A technology for automobile faults and big data, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc., can solve problems such as lack of intelligent diagnosis and guidance capabilities of big data technology, and difficulty in achieving correct judgments.

Active Publication Date: 2021-06-08
车包包(北京)聚合技术有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a big data intelligent system for accurate diagnosis of automobile faults to solve the problems in the above-mentioned background art that the existing diagnostic equipment technology relies too much on individual experience and lacks intelligent diagnosis and guidance supported by big data technology. Ability, which makes it difficult to realize the problem of machine automation to correctly determine the fault and accurately hit the fault point and accessories

Method used

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  • Big data intelligent system for accurate diagnosis of automobile faults
  • Big data intelligent system for accurate diagnosis of automobile faults
  • Big data intelligent system for accurate diagnosis of automobile faults

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] This embodiment: as figure 1 , 2 , Shown in 3, a kind of big data intelligence system of automobile fault accurate diagnosis, described system comprises:

[0050] Fault point identification module 1: Determine the fault point corresponding to the fault code through the fault code mapping fault point module 3 based on the collected fault code of the detected vehicle S102;

[0051] Auto parts determination module 2: Based on the combination of the determined fault point and the vehicle identification code VIN of the inspected vehicle, determine the auto parts inventory unit SKU S103 through the fault point mapping auto parts module 4.

[0052] Due to the use of the fault point identification module: based on the collected fault codes of the detected vehicle, the fault point corresponding to the fault code is determined through the fault code mapping fault point module; the auto parts determination module: based on the determined fault point and the vehicle identification...

specific Embodiment approach

[0056] Its specific implementation is as follows:

[0057] The working condition of the vehicle, that is, the working condition of the vehicle in operation, refers to the working condition of the vehicle during transportation. According to the movement form of the car, there are mainly driving conditions such as starting, accelerating, constant speed, decelerating, turning, going up and down slopes, and parking. According to the driver's control mode, there are mainly gear shifting, coasting (off-gear coasting, neutral gear coasting, acceleration coasting, parking coasting), braking (emergency braking, speed control braking, brake braking), accelerator speed control, steering, Operating conditions such as reversing. According to the load conditions, there are mainly operating conditions such as no-load, full load (equal to the rated load), and overload (exceeding the rated load). When the vehicle is in different conditions, the electromechanical equipment of the vehicle will...

Embodiment 2

[0122] For example, based on the case description of "Automotive Air Conditioning Fault Point Mapping Model":

[0123] The first step: find the fault phenomenon: no cooling;

[0124] Step 2: The detected fault code is: 008140 air conditioner compressor B+ open circuit / short circuit.

[0125] Step 3: The fault code explanation is "air conditioner compressor B+ open circuit / short circuit". The fault code explanation is not clear to ordinary professionals and non-professionals, and there are 23 fault point accessories that cause the air conditioner to not cool (such as Figure 8 As shown), therefore, the system forms a structured relational database, that is, a basic diagnostic pathological map (knowledge map) of air-conditioning and non-refrigeration.

[0126] The fourth step: the mathematical ratio of determining the pathological relationship of the fault code is 1:23.

[0127] The fifth step: the technology assembly is the technology of the air-conditioning technology supplier...

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Abstract

The invention belongs to the technical field of automobile fault diagnosis, and particularly relates to a big data intelligent system for accurate diagnosis of automobile faults. The system comprises a fault point identification module and an automobile part determination module. The problems that the existing diagnostic equipment technology depends on a code reporting mechanism and excessively depends on individual experience, and lacks the intelligent diagnosis and guiding capability supported by the big data technology, so that it is difficult to accurately hit fault points and accessories while correct judgment of a fault by machine automation is achieved are solved. The intelligent, preposed, online and remote data link service mode of automobile aftermarket service is achieved.

Description

technical field [0001] The invention belongs to the technical field of automobile fault diagnosis, and in particular relates to a big data intelligent system for accurate diagnosis of automobile faults. Background technique [0002] The final market size of China's passenger car market can reach 400 million vehicles, and the maintenance output value is 2 trillion yuan. More than 90% of car failures are high-frequency common and concurrent parts replacement repairs. The entire industry lacks fault diagnosis data sharing and circulation to provide auto repair technical services. The lack of standards makes it difficult to establish a reputation system in the industry, and there are many uncertainties in over-reliance on years of individual experience. This leads to a contradiction between market demand and service supply. Traditional decoders only know what the problem is or which assembly or system the problem is, that is, the interpretation of the fault code, but they don't...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0213G05B2219/24065
Inventor 王茂
Owner 车包包(北京)聚合技术有限责任公司
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