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Vehicle alarm data knowledge graph construction method and related device

A technology of knowledge graph and construction method, applied in relational database, database model, structured data retrieval and other directions, can solve the problems of mining vehicle data association relationship, poor interpretability, unable to find the cause of vehicle failure, etc., to improve mining efficiency Effect

Pending Publication Date: 2021-04-23
NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method can only predict the vehicle data, and cannot mine the relationship between the vehicle data from the vehicle data, so that the cause of the vehicle failure cannot be found, and the interpretability is poor.

Method used

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  • Vehicle alarm data knowledge graph construction method and related device
  • Vehicle alarm data knowledge graph construction method and related device
  • Vehicle alarm data knowledge graph construction method and related device

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Embodiment Construction

[0037] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0038] The causes of vehicle failures are diversified, complicated, randomized, etc. Vehicle failures are generally not related to a single factor, but a combination of multiple factors manifested as one or more failures. In other words, there is often a correlation between vehicle alarm data. The method of using the algorithm model cannot mine the relationship be...

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Abstract

The invention discloses a vehicle alarm data knowledge graph construction method and a related device, and aims at various types of vehicle alarm data, the combination of different types of vehicle alarm data may have an association relationship of different types of vehicle alarm data, and in order to find the association relationship of different types of vehicle alarm data, the association relationship of different types of vehicle alarm data is determined. According to the method, the multi-objective optimization model can be established according to the combination of different types of vehicle alarm data, the established multi-objective optimization model is solved according to the multi-objective evolutionary algorithm, and the association relationship of different types of vehicle alarm data is determined, so that the multi-objective optimization model is constructed, and the multi-objective evolutionary algorithm is utilized to perform optimization, the association relation among the multiple types of vehicle alarm data can be automatically mined, time and labor are saved in the mining process, mining efficiency is improved, the association relation among the multiple types of vehicle alarm data is displayed in the knowledge spectrum mode, and the visualization basis can be better provided for subsequent alarm fault analysis.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method for constructing a vehicle alarm data knowledge map and a related device. Background technique [0002] With the development of science and technology, after the vehicle has become the main means of transportation in people's life, people have put forward higher requirements for the safety of the vehicle, and hope that the failure of the vehicle can be warned before the problem occurs. [0003] At present, the fault warning method is generally to input vehicle data into the algorithm model, train the algorithm model to learn the characteristics of the vehicle data, and then predict whether the vehicle data will fail through the trained algorithm model. However, this method can only predict the vehicle data, and cannot mine the relationship between the vehicle data from the vehicle data, so that the cause of the vehicle failure cannot be found, and the interpr...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/28G06F40/289G06F40/30G06F16/36
CPCG06F16/2465G06F16/288G06F40/289G06F40/30G06F16/367Y02T10/40
Inventor 张涛刘永亮褚波
Owner NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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