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Industrial equipment fault diagnosis method and system based on knowledge graph

A technology of industrial equipment and knowledge graph, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc., can solve problems such as the inability to improve the efficiency of troubleshooting equipment, and achieve convenient and accurate elimination, rapid diagnosis, and danger avoidance. effect of accident

Active Publication Date: 2021-04-02
中科蓝智(武汉)科技有限公司
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Problems solved by technology

[0005] In view of this, the present invention proposes a method and system for fault diagnosis of industrial equipment based on a knowledge map, aiming to solve the technical problem that the prior art cannot improve the efficiency of troubleshooting equipment by constructing a knowledge graph for fault diagnosis

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  • Industrial equipment fault diagnosis method and system based on knowledge graph
  • Industrial equipment fault diagnosis method and system based on knowledge graph
  • Industrial equipment fault diagnosis method and system based on knowledge graph

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0031] Such as figure 1 As shown, the device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Ke...

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Abstract

The invention provides an industrial equipment fault diagnosis method and system based on a knowledge graph. The method comprises the following steps: acquiring maintenance data and corresponding fault information of industrial equipment, and constructing a knowledge graph according to the maintenance data and the corresponding fault information of the industrial equipment; obtaining current operation data of the to-be-diagnosed industrial equipment, and performing similarity measurement on the current operation data through the knowledge graph to obtain a similarity degree value; and settinga similarity degree threshold value, comparing the similarity degree value with the similarity degree threshold value, and generating corresponding fault information according to a comparison result.The comprehensive and complete knowledge graph is constructed by collecting various industrial equipment maintenance data and fault information in combination with other knowledge information in the field, and then the state of the to-be-diagnosed industrial equipment is judged according to the knowledge graph, so that equipment faults can be judged in time, dangerous accidents are avoided, meanwhile, equipment faults can be traced back, and the equipment management safety is enhanced.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to a method and system for diagnosing industrial equipment faults based on knowledge graphs. Background technique [0002] At present, the monitoring system and data acquisition system have been applied in the early development of the industry. It can feed back the information of each monitoring point in the equipment in real time through the monitoring equipment. data support is provided. However, industrial equipment is a dynamic system with complex structure and operation mode, and the causes of faults are various. Sometimes the fault signal has no direct relationship with the cause of the fault, which poses a huge obstacle to the accurate diagnosis of equipment faults. [0003] Therefore, there is an urgent need for a fault diagnosis method for industrial equipment based on knowledge graphs, so as to realize real-time monitoring, prediction and early warning analysis,...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/027
Inventor 刘伟董为徐欢盛杰
Owner 中科蓝智(武汉)科技有限公司
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