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An early warning method for safe area of ​​power distribution room based on image recognition

An image recognition and power distribution room technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of potential safety hazards, inability to monitor the safety area of ​​power distribution rooms, and waste of human resources, so as to eliminate inadequate monitoring. , Save labor costs, and achieve the effect of real-time early warning

Active Publication Date: 2022-06-21
广东珺桦能源科技有限公司
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AI Technical Summary

Problems solved by technology

The management of the traditional power distribution room safety area is artificially monitored through the surveillance video in the safety area, which requires a lot of human resources. At the same time, artificial monitoring will not be able to continuously match due to human negligence or shift changes. Real-time monitoring is carried out in the safe area of ​​the electric room, and there are potential safety hazards

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  • An early warning method for safe area of ​​power distribution room based on image recognition

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] See figure 1 , a preferred embodiment of the present invention provides an image recognition-based early warning method for a safety zone in a power distribution room, comprising:

[0024] In step S1, an image sequence of the safety zone of the power distribution room is acquired by an image acquisition device, and an image sequence to be recognized is obtained. Wherein, the image acquisition device includes, but is not limite...

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Abstract

The invention provides an image recognition-based early warning method for a safe area of ​​a power distribution room, comprising the following steps: collecting an image sequence of the safe area of ​​a power distribution room through an image acquisition device to obtain an image sequence to be identified. A processed image sequence is obtained by performing image median filter processing on the image sequence to be recognized. Extract the ROI area image of the primary processing image sequence to obtain the secondary processing image sequence. The feature points of the secondary processing image sequence are extracted, and the feature points are matched by the pyramid optical flow method to obtain the optical flow field of the secondary processing image sequence. Perform threshold segmentation on the optical flow field, and judge whether there is a moving object in the safe area of ​​the power distribution room through the threshold segmentation result. If there is no moving object, the judgment will end, and if there is, an early warning will be given. Realize unmanned monitoring and real-time early warning of the safe area of ​​the power distribution room.

Description

technical field [0001] The invention relates to the technical field of early warning of the safety zone of a power distribution room, and an early warning method of the safety zone of a power distribution room based on image recognition. Background technique [0002] The power distribution room safety area is an important place for the transmission and distribution of electric energy in the power distribution network at the end of the power system, and an important part of the urban distribution network system. The safety management of the distribution room safety area is very important. The traditional management of the safety area of ​​the power distribution room is artificial monitoring through the surveillance video in the safety area, which requires a lot of human resources. At the same time, the artificial monitoring will not be able to match continuously due to factors such as human negligence or shift duty. Real-time monitoring is carried out in the safety area of ​​...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/269G06T7/215G06T7/246
CPCG06T7/215G06T7/246G06T7/269G06T2207/10016G06T2207/30232
Inventor 黄贞云刘穗生
Owner 广东珺桦能源科技有限公司
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