Intelligent inspection method and system

Abstract

The invention provides an intelligent inspection method and system, relates to the field of equipment safety maintenance, can be applied to the financial field and other fields, and comprises the following steps: obtaining an inspection demand, and generating inspection planning data according to the inspection demand; analyzing the inspection planning data to obtain a first control parameter, and controlling an inspection robot to execute an inspection task according to the first control parameter to collect corresponding first inspection data; calling pre-stored first inspection standard data according to the inspection demand, and carrying out image fusion through a fusion algorithm according to the first inspection standard data and the first inspection data to generate visual inspection data; and displaying and outputting the visual inspection data through AR glasses.

Description

technical field [0001] The invention relates to the field of equipment safety maintenance and can be applied to the financial field and other fields, in particular to an intelligent inspection method and system. Background technique [0002] In the current environment, equipment maintenance usually uses surveillance cameras or personnel patrols to complete equipment maintenance and monitoring. The former method of surveillance cameras has higher requirements for surveillance cameras, and the images are relatively single, resulting in a large waste of equipment and high costs; The latter method of personnel patrolling will consume a lot of manpower, and errors or omissions in manual operations will occur, and the inspection efficiency will be low. [0003] With the rapid development of artificial intelligence, intelligent inspection robots are gradually developing from pilot applications to large-scale development. When performing tasks, inspection robots mainly use fixed lin...

AI Technical Summary

Problems solved by technology

[0002] In the current environment, equipment maintenance usually uses surveillance cameras or personnel patrols to complete equipment maintenance and monitoring. The former method of surveillance cameras has higher requirements for surveillance cameras, and the images are relatively single, resulting in a large waste of equipment and high costs; The latter method of personnel patrolling will consume a lot of manpower, and errors or omissions in manual operations will occur, and the inspection efficiency will be low.

[0003] With the rapid development of artificial intelligence, intelligent inspection robots are gradually developing from pilot applications to large-scale development. When performing tasks, inspection robots mainly use fixed lines or human control; the way of fixed lines will cause a certain waste of resources, and The flexibility is not enough, and the inspection content seen by the staff is relatively scarce and not comprehensive enough; and the way of manual control requires a lot of operational proficiency of the staff, which is prone to unnecessary collision damage and other problems

[0004] Secondly, the staff in the inspection operation is also relatively cumbersome in comparing parameters. Most of them use the method of carrying standard data handwriting with them and comparing them one by one. This method requires a high degree of attention from personnel, and it is easy to miss abnormal parameters of faulty equipment

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