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Power operation site risk supervision intrusion video identification method

A technology for video recognition and power operation, applied in character and pattern recognition, image data processing, resources, etc., can solve the problems of limited inspectors, large monitoring and monitoring scope of substations, and deployment of monitoring points, etc., to improve the level of safety production management , The effect of reducing operation safety risks and high recognition accuracy

Pending Publication Date: 2019-12-06
TAIZHOU HONGDA ELECTRIC POWER CONSTR CO LTD +1
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AI Technical Summary

Problems solved by technology

The inspectors are limited, it is difficult to cover them all, they are often exhausted, and the audit efficiency is low
[0005] 2. Even if the inspectors arrive at the site, they come and go in a hurry, unable to carry out the safety inspection of the whole operation process
[0006] 3. Inspectors may not be able to strictly enforce the law
The large monitoring range of substation monitoring, the deployment of many monitoring points, and the random occurrence of abnormalities have brought a lot of work intensity to the substation staff

Method used

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  • Power operation site risk supervision intrusion video identification method
  • Power operation site risk supervision intrusion video identification method
  • Power operation site risk supervision intrusion video identification method

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Embodiment Construction

[0046] In order to make the purpose, technical solution and advantages of the present invention clearer, the invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments.

[0047] A method for identifying intrusion videos of risk supervision on electric power operation sites uses the ViBe background modeling method to establish a background model of the scene. In the ViBe model, the background model stores a sample set for each background point, and then compares each new pixel value with the sample set to determine whether it belongs to the background point. If a new observation belongs to the background point, then it should be relatively close to the sampled value in the sample set. The background model is used to detect the moving foreground, and the foreground pixel point set is obtained. Finally, the connected domain analysis is used to obtain the target area. After template matching, it is judged that th...

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Abstract

The invention relates to a power operation site risk supervision intrusion video identification method, and belongs to an AI-based power grid production management safety operation management and control key technology, mainly aiming at identifying intrusion behaviors of a power operation site, being high in identification accuracy, and capable of realizing automatic monitoring and unattended operation. The power operation site risk supervision intrusion video identification method mainly comprises the following steps: step 1, initializing a background model; step 2, carrying out forward detection; step 3, updating the model; step 4, performing morphological filtering; step 5, acquiring a target area; step 6, performing regional module matching; and step 7, marking a non-staff invasion area. The power operation site risk supervision intrusion video identification method provided by the invention is a power operation field risk supervision means based on deep artificial intelligence, realizes high-efficiency supervision of the operation field, improves the supervision level, and reduces the operation safety risk.

Description

technical field [0001] The invention relates to the key technology of AI-based power grid production management safety operation management and control, in particular to a method for identifying intrusion video of risk supervision on the electric power operation site. Background technique [0002] There are various types of power grid operation sites. Different professionals are responsible for emergency repairs, tests, and maintenance at different job sites. Safety is no small matter, and safety is greater than the sky. Production safety risk management and control has become one of the most important tasks in the daily work of the power grid. However, in daily work, the work area is large, the work is complicated, and there are many people. However, the supervision and management personnel are limited. It may inadvertently lead to accidents, threatening the safety of personnel and the safety of power grid operation. [0003] At present, manual on-site inspection and remot...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q10/06G06Q50/06G06T5/00
CPCG06Q10/0635G06Q50/06G06V20/40G06V10/751G06T5/70
Inventor 潘建国戴招响吕坚华陈煊陈顺德章伟林吴瑞文许红建鲍杰利章璜叶家乐周晓明吕舟陈军何成彬谢妮娜
Owner TAIZHOU HONGDA ELECTRIC POWER CONSTR CO LTD
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