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Power transmission and transformation equipment state online monitoring method integrating edge calculation and deep learning

A power transmission and transformation equipment, deep learning technology, applied in neural learning methods, computing, computer components, etc. The effect of delaying and reducing the false positive rate

Active Publication Date: 2020-07-10
EAST CHINA JIAOTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a state of power transmission and transformation equipment that integrates edge computing and deep learning in order to solve the problems of high transmission delay, high misjudgment rate, and low reliability in the existing online monitoring technology for power transmission and transformation equipment. On-line monitoring method

Method used

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  • Power transmission and transformation equipment state online monitoring method integrating edge calculation and deep learning
  • Power transmission and transformation equipment state online monitoring method integrating edge calculation and deep learning
  • Power transmission and transformation equipment state online monitoring method integrating edge calculation and deep learning

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Embodiment Construction

[0017] In this embodiment, an insulator is taken as an example to represent a monitored object of power transmission and transformation equipment.

[0018] Such as figure 1 As shown, it is the online monitoring technology framework of insulator status based on edge computing and deep learning in this example, including monitoring equipment, edge network, edge server, mobile core network, and cloud server.

[0019] Such as figure 2 Shown is the flow chart of on-line monitoring of insulator status.

[0020] The whole process is divided into two parts: edge and cloud. The monitoring equipment obtains the image information of the insulator and uploads it from the edge network to the nearest edge server. The edge server first numbers, classifies and stores the insulator picture information according to the upload time, location and atmospheric environment. Then reduce the amount of uploaded data by extracting the target object and save cloud storage space. Finally, the prepro...

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Abstract

The invention discloses a power transmission and transformation equipment state online monitoring method integrating edge calculation and deep learning. According to the invention, the method comprises the steps: completing the acquisition of power transmission and transformation equipment image information through a monitoring equipment layer; enabling an edge network layer to realize the mutualcommunication between the monitoring equipment layer and an edge server layer; enabling the edge server layer to preprocess the acquired image information of the power transmission and transformationequipment; enabling a mobile core network layer to realize mutual communication between the edge server layer and the cloud server layer; and enabling the cloud server layer to complete the power transmission and transformation equipment state classification and fault identification according to the fusion edge calculation and a trained deep learning model. Compared with an existing power transmission and transformation equipment state on-line monitoring method, the power transmission and transformation equipment state on-line monitoring technology has the advantages of being high in recognition precision, low in transmission time delay, low in cost and the like.

Description

technical field [0001] The invention relates to an online monitoring method for the status of power transmission and transformation equipment that integrates edge computing and deep learning, and belongs to the technical field of power equipment detection. Background technique [0002] Power transmission and transformation equipment is an important part of the power transmission process. Monitoring the status of power transmission and transformation equipment is one of the important links in the production and operation of power supply enterprises. The threat of state degradation to the safe and stable operation of the power grid can ensure the safe, stable and reliable power supply of the power grid. [0003] The existing online monitoring technology of power transmission and transformation equipment is single. Due to the constraints of monitoring methods, it is not suitable for long-term online monitoring, and cannot meet the requirements of ubiquitous power Internet of Th...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06K9/62H04L29/08H04W4/30G06N3/04G06N3/08
CPCG06T7/0004H04L67/12H04W4/30G06T2207/10048G06T2207/20081G06T2207/20084G06T2207/30108G06N3/08G06N3/045G06F18/2415G06F18/241G06T5/00
Inventor 邓芳明温开云解忠鑫左鹏奇单运孙志鹏
Owner EAST CHINA JIAOTONG UNIVERSITY
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