Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Platform for Remote Vehicle Diagnostics and Spare Parts Retrieval

A technology for remote diagnosis and spare parts, applied in the field of information retrieval, can solve problems such as differences in grouping numbers, and achieve the effect of solving the problem of limited experience

Active Publication Date: 2020-04-14
DALIAN ROILAND SCI & TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the failure of the owner's vehicle, it is necessary to rely on the manual judgment of the technician and the selection of spare parts by the technician; at the same time, because different spare parts have the same main group number, the group number is still different, in order to be able to solve the problem of accurately matching spare parts

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
  • Platform for Remote Vehicle Diagnostics and Spare Parts Retrieval
  • Platform for Remote Vehicle Diagnostics and Spare Parts Retrieval
  • Platform for Remote Vehicle Diagnostics and Spare Parts Retrieval

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0014] Embodiment 1: A method for vehicle remote diagnosis and spare parts retrieval: such as figure 1 shown, including the following steps:

[0015] Step 1. Collect vehicle information data;

[0016] Step 2. Analyze the vehicle VIN code to obtain variables, the variables include the engine displacement, body type, and engine gearbox type obtained by the VIN code analysis; through the vehicle chassis number (17-digit VIN code), translate each number to represent Relevant information (variables) to form a rich data knowledge base, such as the translation rules for each number of a vehicle with a chassis number of LFV5A14B8Y3000001 such as figure 2 shown.

[0017] Step 3. Perform a decision tree analysis on the spare part codes corresponding to the variables, complete the classification of variable data to form spare part information, and establish an index to form a diagnostic knowledge base;

[0018] Step 4. For the historical vehicle fault data, count and record the work ...

Embodiment 2

[0022] Embodiment 2: as the supplement of embodiment 1:

[0023] In the step 3, the historical records of the maintenance spare parts table are used as the data basis, and the spare parts are classified through the decision tree model, and the maintenance spare parts table sample is shown in Table 1:

[0024] Table I

[0025] VIN123 VIN4 VIN6 VIN78 BJDM LFV 5 1 4B 06J 115 403J LFV 3 2 8K LN 052 167 A21 LFV 4 2 4F LN 052 167 A24

[0026] The basic principles of the decision tree model are as follows:

[0027] First: Determine the entropy of different categories of spare parts in each dimension. Taking VIN4 as an example, the entropy is defined as

[0028] E=sum(-p(I)*log(p(I)))

[0029] Wherein I=1:N (N category results, such as this example 1, that is, the spare part belongs to this model, so the probability P(I)=1)

[0030] Then E(5)=-(1 / 1) Log2(1 / 1)-(0 / 1) Log2(0 / 1)=0+0=0

[0031] E(3)=-(1 / 1) Log2(1 / 1)-(0 / 1) Log2(0 / 1)=0...

Embodiment 3

[0048] Embodiment 3: have the technical scheme identical with embodiment 1 or 2, more specifically:

[0049] In the fourth step, using variance analysis to simulate the technician's diagnostic thinking, the steps to obtain the best solution under the fault code are:

[0050] (1) According to the personal experience and different ways of thinking of different technicians, check the solutions given by each fault description and the information of the work items and spare parts used;

[0051] (2) Quantify the diagnostic data given by all technicians;

[0052] (3) Then use analysis of variance to compare, and compare the difference between the answers between the two;

[0053] (4) According to the difference results, the solution with the smallest difference is selected as the final solution of the fault code.

[0054] Through the above methods, a relatively complete data knowledge base is formed from fault code → solution → spare parts information.

[0055] In this embodiment,...

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 platform for vehicle remote diagnosis and spare part retrieval and belongs to the information retrieval field. Since the branch group numbers of different spare parts are still different even under a condition that the main group numbers of the spare parts are identical, the objective of the invention is to realize exact matching of the spare parts. According to the technical schemes of the invention, the platform includes a database unit, a primary key building unit and a retrieval unit; the database unit collects historical vehicle fault data and records work item and spare part information which is used by different technicians in solving vehicle faults under the same fault code so as to form a diagnosis database, and uses variance analysis to simulate the diagnostic thinking of the technicians so as to obtain an optimal solution under the fault code; the primary key building unit correlates the diagnosis database with a diagnosis knowledge library and builds primary keys; and the retrieval unit retrieves fault codes generated by the vehicle faults through key words so as to obtain the work item and spare part information. With the platform of the invention adopted, after the fault codes are obtained, solutions of common faults and corresponding spare parts and work items can be found out fast.

Description

technical field [0001] The invention belongs to the field of information retrieval and relates to a platform for vehicle remote diagnosis and spare part retrieval. Background technique [0002] At present, my country's automobile maintenance industry has developed from the stage of diagnosis based entirely on the feeling and practical experience of inspectors to the stage of comprehensive detection and diagnosis using special equipment. However, there are many problems in the traditional automobile maintenance industry, such as the technical aging of maintenance workers. , It is often impossible to quickly and economically use various technical forces to solve the fault; with the increasing number of automobiles, various services in the automobile aftermarket have sprung up like mushrooms after rain. So from the perspective of the car owner, how can we better and more comprehensively understand the car condition, how to quickly obtain the car’s pending solution and the requir...

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 Patents(China)
IPC IPC(8): G06Q10/00
CPCG06Q10/20
Inventor 田雨农初莹莹
Owner DALIAN ROILAND SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com