Machine-vision-based fault diagnosis method and system for large landscape light group

Abstract

The invention discloses a machine-vision-based fault diagnosis method and system for a large landscape light group. The method comprises: acquiring an image in normal working of a landscape light group by a camera and establishing a standard library; with the camera, acquiring an image in working of the landscape light group in real time; carrying out image processing on the obtained image; on thebasis of a matching recognition algorithm, carrying out matching and recognition on the image in the standard library and finding out a most similar image; and then determining whether the landscapelight group has a faulty problem based on the difference between the real-time image and its most similar image. The method has the following beneficial effects: firstly, the manpower is liberated, the work of the observer is reduced, and the working state of the landscape light group can be obtained accurately; secondly, the staff member can be warned timely to carry out maintenance and thus thelandscape light group can work normally, and the environment is beautified; and thirdly, the whole process is completed through relevant equipment and thus the work intelligence is enhanced further, so that the automation degree of the work is improved substantially.

Description

technical field [0001] The invention relates to a fault diagnosis method and system for a landscape lamp group, in particular to a machine vision-based fault diagnosis method and system for a large landscape lamp group, and belongs to the technical field of artificial intelligence. Background technique [0002] Landscape lights are an indispensable part of modern landscapes. In addition to their high ornamental value, they also have the function of lighting. They are mostly used in squares, public green spaces and other places. The existence of landscape lights has enriched people's lives, so it is necessary to ensure the normal operation of landscape lights, which requires staff to check the landscape lights from time to time to ensure its working status. The work of monitoring landscape lights is simple and boring, and a new technology needs to be proposed in order to change the current situation. In addition to liberating workers, this technology can also increase the ef...

AI Technical Summary

Problems solved by technology

[0003] In order to ensure the ornamental value of the landscape lights, the design of the shape of the landscape lights is generally more complicated, so there are certain problems in using manual monitoring

When using manual monitoring: on the one hand, due to the limited observation ability of the human eye, there will be misreading and missed viewing; on the other hand, there may be situations that cannot be directly viewed because the shape of the landscape light is too complicated, such as the ring landscape light The working status of the light group inside cannot be seen directly, and other tools are needed, which increases the difficulty of the work

[0004] In addition to the above two reasons, the more important thing is that the staff cannot monitor in real time and for a long time. When the landscape light breaks down when the staff is resting, the staff cannot give feedback in time, which will affect its normal work.

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