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Knowledge service method for digital twin model of complex equipment

A knowledge service and knowledge technology, applied in character and pattern recognition, knowledge expression, instruments, etc., to achieve the effect of loose coupling and easy dynamic expansion

Pending Publication Date: 2022-06-17
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a knowledge service method oriented to the digital twin model of complex equipment, which can effectively solve the problems of knowledge dispersion, diversity and massiveness of complex equipment, and realize efficient organization and intelligent service of knowledge

Method used

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  • Knowledge service method for digital twin model of complex equipment
  • Knowledge service method for digital twin model of complex equipment
  • Knowledge service method for digital twin model of complex equipment

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Embodiment Construction

[0025] In order to make those skilled in the art understand the technical solutions in the present invention more clearly, the technical solutions in the embodiments of the present invention are further described below with reference to the accompanying drawings in the embodiments of the present invention.

[0026] 1, figure 1 It is a knowledge map based on the meta-structure tree for the specific complex equipment knowledge source of the present invention, and the specific description is as follows:

[0027] According to the means of knowledge acquisition, the whole life cycle knowledge of complex equipment is divided into two categories: knowledge integrated with existing business systems and knowledge generated through data mining. The former can be dynamically acquired through data incremental integration tools, and the latter can be further It is divided into three categories: knowledge of data analysis and processing models, knowledge of association rules contained in da...

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Abstract

The invention provides a knowledge service method for a complex equipment digital twin model, and belongs to the technical field of complex equipment knowledge engineering. The invention discloses a knowledge service mechanism method for construction of a knowledge classification ontology model of complex equipment, knowledge mapping based on a meta-structure tree of the complex equipment and dynamic calling of a twinborn model according to a knowledge application requirement in digital twinborn of the complex equipment and a loose coupling and extensible reference principle of the knowledge and the digital twinborn model. A knowledge service algorithm oriented to dynamic calling of a digital twin model is designed and realized, dynamic requests of real-time physical information data of equipment nodes for knowledge are realized, and support is provided for equipment anomaly prediction, fault diagnosis, performance prediction and the like.

Description

technical field [0001] The invention relates to the technical field of complex equipment knowledge engineering. Background technique [0002] Products in the fields of electric power, construction machinery, rail transit and other fields are typical complex equipment that can serve safely and reliably under long life cycle and complex working conditions. The research and development process is a complex system engineering. It is an important means of operation and maintenance efficiency and building an iterative system for product optimization. However, due to the complex structure of such products, long life cycle, and many personnel and professional fields involved, the knowledge of the whole life cycle of complex equipment is scattered, diversified and inconsistent, which brings challenges to the acquisition, integration and reuse of knowledge. . [0003] Chinese Patent Publication No. CN201911163211.6, discloses "a digital twin-driven complex equipment failure predicti...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N5/02G06K9/62
CPCG06F30/27G06N5/02G06F18/23G06F18/24Y02P90/30
Inventor 王淑营丁国富郑庆黄文培催高舜李雪
Owner SOUTHWEST JIAOTONG UNIV
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