Isolation switch on-off monitoring system and method based on BP neural network

A BP neural network and isolating switch technology, applied in the field of substations, can solve problems such as single method, inability to meet the reliability and low stability of one-key sequence control system

Active Publication Date: 2021-01-08
中国南方电网有限责任公司超高压输电公司南宁监控中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] An object of the present invention is to provide a disconnector switch monitoring system and method based on BP neural network. The image and video of the disconnector state are collected by the image acquisition unit at the station end. The position status of the isolating switch, the judgment result is sent back to the dispatching system at the dispatching end as an auxiliary criterion, and the

Method used

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  • Isolation switch on-off monitoring system and method based on BP neural network
  • Isolation switch on-off monitoring system and method based on BP neural network
  • Isolation switch on-off monitoring system and method based on BP neural network

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Experimental program
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Embodiment 1

[0055] Such as figure 1 The isolation switch monitoring system based on BP neural network shown in the figure includes a dispatching platform at the dispatching end, a video master station, and a video master station and an image acquisition unit at the station end. The number of video masters is N, and each video master corresponds to M image processing units, N and M are positive integers, where:

[0056] The dispatching platform is used to send the isolation switch information to be monitored to the video master station; receive the status information of the isolation switch returned by the video master station, and confirm the status of the isolation switch based on the status information;

[0057] The video master station is used to judge the video host in the area where the isolating switch to be monitored is located according to the isolating switch information, and send a collection signal to the video host; receive the image information returned by the video host, and...

Embodiment 2

[0071] On the basis of Embodiment 1, the video master station includes an image analysis and processing unit, and the image analysis and processing unit is used to construct and train a deep learning model, and extract network features in candidate areas of image information to identify the separation switch. Closed state, get the state information of the isolating switch.

[0072] In some embodiments, such as image 3 As shown, the image analysis processing unit includes an input module, a feature extraction module, a region extraction module, a classification module and a recognition module; the input module sends the received image information to the region extraction module and the feature extraction module, and the region extraction module is obtained from Extracting candidate areas from image information and fusing the candidate areas, the feature extraction module builds and trains a deep learning model based on image information, the classification module is used to cl...

Embodiment 3

[0078] On the basis of the above embodiments, the image acquisition unit includes a carrying device and a camera, and the carrying device is used to adjust the shooting angle, shooting position, and shooting environment of the camera. After the adjustment is completed, the camera is used to collect the corresponding isolated Image information for the switch.

[0079] Such as Figure 8 to Figure 11 As shown, the carrying device includes two pillars 11, a first baffle 13 is arranged between the two pillars 11, and a mounting plate 15 located below the first baffle 13, the first baffle 13 and Mounting plate 15 can turn over around its transverse central axis, mounting plate 15 is provided with slide rail 151, camera 152 is installed on the slide block of described slide rail 151; In the state, the first baffle plate 13 is used as the background of the image information collected by the cameras of the remaining image acquisition units, and the mounting plate 15 is vertically plac...

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Abstract

The invention discloses an isolation switch on-off monitoring system and method based on a BP neural network. The system comprises a scheduling platform used for sending to-be-monitored isolation switch information to a video master station, receiving state information of the isolating switch returned by the video master station, and confirming the state of the isolating switch based on the stateinformation; the video master station is used for judging a video host in an area where a disconnecting switch to be monitored is located according to the disconnecting switch information and sendingan acquisition signal to the video host, receiving image information returned by the video host, analyzing state information of the isolation switch based on the image information, and sending the state information to a scheduling platform; the video host is used for acquiring the position of the isolating switch to be monitored according to the acquisition signal and sending a control signal to the image acquisition unit corresponding to the isolating switch, receiving image information returned by the image acquisition unit, and sending the image information to the video master station; theimage acquisition unit is used for acquiring image information of the isolation switch to be monitored according to the control signal and sending the image information to the video host.

Description

technical field [0001] The invention relates to the technical field of substations, in particular to a system and method for monitoring the opening and closing of a disconnector based on a BP neural network. Background technique [0002] Traditional substations require operation and maintenance personnel to go to the equipment area for on-site confirmation and execution during operation. Any defects must be dealt with immediately. Sometimes simple operations such as operating the pressure plate and reset signals need to go back and forth tens of kilometers to the site. Manpower, material resources, and The time cost is high, and the operation and maintenance personnel have the risk of entering the equipment interval by mistake, unlocking by mistake, and operating by mistake. [0003] In recent years, with the continuous improvement of power grid safety operation level and service quality requirements, one-button sequential control operation as a current intelligent substatio...

Claims

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Application Information

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IPC IPC(8): H02J13/00F16M11/10H04N7/18
CPCH02J13/00002H04N7/181F16M11/10
Inventor 廖华陈海拔朱永虎蔡宇邓厚兵李闯奉钰力梁阳陈方之袁卫义申晓杰邓朝翥周韦钟文明董羊城钟晖
Owner 中国南方电网有限责任公司超高压输电公司南宁监控中心
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