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A power grid image recognition system based on a neural network

A neural network and image recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as low efficiency of fault analysis and long processing cycle, and achieve high-quality service, problem solving, and improvement of analysis efficiency.

Inactive Publication Date: 2019-06-14
燊赛(上海)智能科技有限公司
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Problems solved by technology

[0004] For this reason, the embodiment of the present invention provides a neural network-based power grid image recognition system to solve the problems of low efficiency and long processing period of existing power system fault analysis

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  • A power grid image recognition system based on a neural network

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Embodiment

[0032] refer to figure 1 , this embodiment discloses a network image recognition system based on a neural network. In the power system, partial discharge refers to the discharge phenomenon in which the insulation part of the power equipment is partially broken down. The partial discharge phenomenon will only occur when the equipment is powered on. The discharge current is small and sudden, and it is not easy to find the partial discharge phenomenon in the regular power outage maintenance of traditional electrical equipment. If it is not resolved for a long time, it will lead to complete damage to the insulation layer of the electrical equipment, causing power outages and even casualties and property loss accidents. . In the process of manual maintenance, it is necessary to carry special handheld detection equipment to detect whether there is partial discharge phenomenon. For the occasional partial discharge phenomenon, it is impossible to accurately capture it. It is necessary...

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Abstract

The embodiment of the invention discloses a power grid image recognition system based on a neural network. The system comprises a data set generation module for artificial neural network training, anartificial neural network training module, an artificial neural network reasoning prediction module and a man-machine interaction module, the data set generation module for artificial neural network training preprocesses example image data used for training an artificial neural network and creates an image data set. The artificial neural network training module takes an image data set as input; outputting an artificial neural network classifier; the artificial neural network reasoning prediction module takes an original data image as an input; and the artificial neural network classifier carries out batch automatic reasoning prediction on the category represented by each image, a category identifier corresponding to each image is output, a to-be-analyzed original data image is input intothe human-computer interaction interface, and a power grid fault is processed according to an analysis output result. The method solves the problems that an existing power system is low in fault analysis efficiency and long in processing period.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of power supply, in particular to a neural network-based power grid image recognition system. Background technique [0002] With the continuous improvement of the automation level of the power system, more and more infrared, ultrasonic and electromagnetic wave sensors are used in the power system to monitor the operation status of equipment online, such as real-time collection of infrared images of equipment through infrared sensors, collection of switch cabinets and GIS through partial discharge sensors Such as ultrasonic or UHF signals of partial discharge of power equipment, inspection of wide-area power transmission lines by drones and real-time collection of visible light or infrared appearance photos of equipment along the line. [0003] All collected images of infrared light, ultraviolet light, visible light, ultrasonic waves, and electromagnetic spectrum images can intuitive...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 喻永生王淼
Owner 燊赛(上海)智能科技有限公司
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