Intelligent equipment fault diagnosis method based on semantic reasoning

A smart device and fault diagnosis technology, which is applied in the direction of reasoning method, fault hardware testing method, semantic analysis, etc., can solve the problems of accurate positioning of unfavorable faults, poor explainability, dependence on the accuracy of diagnostic models, data sample integrity, etc., and achieve good results. The effect of increasing performance and universality, improving efficiency, and friendly interpretability

Pending Publication Date: 2019-04-16
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Although the fault diagnosis method based on machine learning can effectively obtain potential knowledge from massive data, it is very dependent on the accuracy of the diagnosis

Method used

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  • Intelligent equipment fault diagnosis method based on semantic reasoning
  • Intelligent equipment fault diagnosis method based on semantic reasoning
  • Intelligent equipment fault diagnosis method based on semantic reasoning

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Experimental program
Comparison scheme
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Embodiment

[0033] This embodiment provides a method for fault diagnosis of intelligent equipment based on semantic reasoning, the flow chart of the method is as follows figure 1 shown, including the following steps:

[0034] S1. Use the cloud platform to store and process massive manufacturing data generated by smart devices, and provide support for subsequent semantic knowledge base construction and semantic rule writing;

[0035] S2. Use the Protégé tool to build a semantic model of smart devices;

[0036] S3. Map the real-time data of smart devices to the semantic model to form a semantic knowledge base;

[0037] S4. Customize semantic logic reasoning rules to form a custom rule base;

[0038] S5. Using the Jena reasoning machine to perform fault diagnosis semantic reasoning;

[0039] S6. Visualize the fault diagnosis result and recommend a suitable solution.

[0040] figure 2 It is the overall technical roadmap of fault diagnosis method for smart devices based on semantic reaso...

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Abstract

The invention discloses an intelligent equipment fault diagnosis method based on semantic reasoning. According to the method, on the basis that a cloud distributed system is used for storing and rapidly processing mass manufacturing data generated by the intelligent equipment, firstly, a Profee graphical modeling tool is used for building an intelligent equipment semantic model, and the semantic model is loaded and edited through a Jena toolkit; reading the real-time data of the equipment through the JDBC, and associating the real-time data of the equipment in the database with the model; self-defining a logical reasoning rule in Jena, and performing logical reasoning by utilizing a reasoning machine to realize fault diagnosis of the intelligent equipment; finally, the fault diagnosis result is intelligently visualized, and a proper solution is recommended. By adopting the method, the fault diagnosis efficiency and level of the intelligent equipment in the intelligent factory can be remarkably improved, the maintenance time of the equipment is shortened, and the production benefit is maximized.

Description

technical field [0001] The invention relates to the field of fault diagnosis of intelligent equipment in an intelligent factory, in particular to a method for fault diagnosis of intelligent equipment based on semantic reasoning. Background technique [0002] With the rapid development of related technologies such as the Internet of Things, cloud computing, and advanced manufacturing, the field of intelligent manufacturing is also developing rapidly. At present, establishing a smart factory based on a cyber-physical fusion system is the main way to realize smart manufacturing. More and more manufacturing equipment in smart factories is intelligent, such as robotic arms that automatically identify product types and quantities, and precisely positioned automatic cruise vehicles (AGV). Such equipment, devices or machines with computing and processing capabilities are called smart equipment. With the emergence and increase of smart devices, the manufacturing line is increasingl...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F11/22G06F17/27G06N5/04
CPCG06F11/2273G06N5/04G06Q10/0635G06F40/30
Inventor 万加富杨俊陈宝通汪曦祥
Owner SOUTH CHINA UNIV OF TECH
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