Fault monitoring method, system and computer medium for camera collaborative knowledge graph

A technology of knowledge graph and fault monitoring, which is applied in still image data query, still image data retrieval, unstructured text data retrieval, etc. It can solve problems such as failure to realize automatic fault warning, avoid losses, simplify construction, and improve efficiency Effect

Active Publication Date: 2022-04-01
湖南乐泊科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a fault monitoring method, system and computer medium for a camera collaborative knowledge map to solve the technical problem that the traditional knowledge map cannot realize fault automatic warning in the prior art

Method used

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  • Fault monitoring method, system and computer medium for camera collaborative knowledge graph

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Experimental program
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Effect test

Embodiment 2

[0063] A computer system includes a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the steps of the method in Embodiment 1 when executing the computer program.

Embodiment 3

[0065] A computer medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method in Embodiment 1 are implemented.

[0066] The fault monitoring method of the camera in cooperation with the knowledge graph of the present invention uses multiple cameras to monitor and shoot multiple components of the equipment, and generates component images, each camera monitors and captures a component of the equipment, and then combines the component images with the knowledge graph in the The second image entity is compared, and the corresponding conclusion entity is obtained according to the comparison result. The knowledge graph includes entities and relationships. The knowledge graph is a network-like image knowledge graph formed by relationships between entities. The entity includes the first image The entity, the second image entity, and the conclusion entity can give a fault warning before or when the fault occurs, and at the same ...

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Abstract

The invention discloses a fault monitoring method, a system and a computer medium of a camera cooperative knowledge map. The present invention uses multiple cameras to monitor and shoot multiple components of the equipment, and generates component images, and each camera monitors and captures a component of the equipment, and then compares the component images with the second image entity in the knowledge map, according to The corresponding conclusion entity is obtained from the comparison results. The knowledge graph includes entities and relationships. The knowledge graph is a network-like image knowledge graph formed by relationships between entities. The entities include the first image entity, the second image entity, and the conclusion entity. , can give a fault warning before or when a fault occurs, and at the same time obtain the conclusion entity to provide a reference for the designation of the maintenance plan of the faulty component, so as to avoid the loss of production operations caused by the fault of the equipment.

Description

technical field [0001] The invention relates to the field of industrial equipment management, in particular to a fault monitoring method, system and computer medium for a camera collaborative knowledge map. Background technique [0002] Large-scale equipment (such as cranes, bridge cranes, and gantry cranes) are widely used in ports, construction sites, and industrial production workshops. The monitoring of the status of these large-scale equipment is very important and is a core element in safe production and construction. Existing technologies for monitoring the operating status and faults of large-scale equipment are mainly to deploy various sensors, such as vibration sensors, temperature and humidity sensors, etc., to collect the operating status of large-scale equipment and send it back to the background, deploying fault analysis knowledge graphs in the background, through domain Expert-led and knowledge-map-assisted methods provide fault analysis or fault causes based ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F16/53
CPCG06F16/367G06F16/53
Inventor 夏东
Owner 湖南乐泊科技有限公司
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