Fault detection system based on edge calculation

A fault detection and edge processing technology, applied in the field of communication, can solve problems such as low fault detection efficiency and high pressure on cloud servers

Inactive Publication Date: 2018-11-16
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a fault detection system based on edge computing to solve the problems of high cloud server pressure and low fault detection efficiency in traditional fault detection systems

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  • Fault detection system based on edge calculation
  • Fault detection system based on edge calculation
  • Fault detection system based on edge calculation

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Embodiment Construction

[0021] The core of the present invention is to provide a fault detection system based on edge computing, which reduces the computing pressure of the cloud server and improves computing efficiency.

[0022] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] A fault detection system based on edge computing provided by the present invention is introduced below, see figure 1 , the system embodiment includes: a cloud server 100 , an edge processing device 200 , an...

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Abstract

The invention discloses a fault detection system based on edge calculation. The fault detection system comprises a cloud server, an edge processing device, and an acquisition device. The cloud serveris used for training a neural network in advance and downloading the trained neural network to the edge processing device. After acquiring the state data of a grid device in a grid system, the acquisition device transmits the state data to the edge processing device. The edge processing device uses the neural network to analyze the state data, and the cloud server determines whether the grid device generates a fault according to an analysis result. It can be seen that the system, by downloading the neural network to the edge processing device, and can analyze the state data first by using theedge processing device during fault detection, thereby reducing the computing pressure of the cloud server and improving the fault detection efficiency.

Description

technical field [0001] The present invention relates to the communication field, in particular to a fault detection system based on edge computing. Background technique [0002] With the development of artificial intelligence technology, especially neural network technology, image or video image-based target recognition, intelligent voice conversion and other technologies have become relatively mature, and have been applied to the field of fault detection of power grid systems. [0003] At present, the grid system fault detection system based on the neural network generally includes a collection device and a cloud server. After receiving the state data, the cloud server uses the neural network to judge whether the state data is normal, so as to draw a conclusion whether the power grid equipment is normal, and realize the purpose of fault detection. [0004] However, due to the large number of grid devices in the grid system, the data volume of state data is huge, which puts...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
CPCG01R31/088Y04S10/52
Inventor 黄文琦明哲许爱东陈华军杨航张福铮关泽武
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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