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Power equipment anomaly detection system and method based on artificial intelligence

A technology for power equipment and anomaly detection, which is applied in the field of smart grid and can solve problems such as no solution

Pending Publication Date: 2020-10-30
国网浙江省电力有限公司双创中心 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no general solution for the "health" monitoring of power equipment

Method used

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  • Power equipment anomaly detection system and method based on artificial intelligence
  • Power equipment anomaly detection system and method based on artificial intelligence
  • Power equipment anomaly detection system and method based on artificial intelligence

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Embodiment Construction

[0031] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited to these embodiments.

[0032] The basic idea of ​​the present invention is to sense the temperature inside the power equipment through a temperature sensor installed inside the power equipment and generate an induction signal, and obtain the induction signal and generate a feedback signal through a reader electromagnetically coupled with the temperature sensor through electromagnetic coupling, by setting The server in the cloud obtains the feedback signal of the reader and converts it into corresponding temperature data. By building an AE-LSTM model and training the temperature data based on the AE-LSTM model, the temperature data is detected abnormally through the AE-LSTM model, so as to realize Abnormal detection of electrical equipment.

[0033] Based on the above ideas, the present invention propose...

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Abstract

The invention relates to the field of intelligent power grids, in particular to a power equipment anomaly detection system and method based on artificial intelligence, and the system comprises: a temperature sensor which is disposed in power equipment and is used for sensing the temperature in the power equipment and generating a sensing signal; the reader that is electromagnetically coupled withthe temperature sensor and is used for acquiring an induction signal in an electromagnetic coupling mode and generating a feedback signal; the server that is arranged at the cloud end and used for obtaining feedback signals of the reader, converting the feedback signals into corresponding temperature data, constructing an AE-LSTM model, training the temperature data on the basis of the AE-LSTM model and carrying out anomaly detection on the temperature data through the AE-LSTM model. The invention can achieve the real-time detection of the abnormality of power equipment, and guarantees the operation safety of a power grid.

Description

technical field [0001] The invention relates to the field of smart grids, in particular to an artificial intelligence-based power equipment abnormality detection system and method. Background technique [0002] The development of the smart grid and the Internet of Things have been promoted to the strategic decision-making level of the country's economic development. The ubiquitous power Internet of Things based on the Internet of Things can greatly expand the business scope of the existing power network, improve the security and failure resistance of the power system, improve the utilization efficiency of the existing infrastructure of the power system, and meet the needs of users for power quality and reliability. requirements, improve the level of power system informatization, and finally achieve the goal of energy saving, emission reduction, compatibility and interaction, safety and reliability of the smart grid. [0003] However, the ubiquitous power Internet of Things ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K17/00G06N3/04G06N3/08G01K11/26
CPCG06K17/0022G06N3/08G01K11/265G06N3/044G06N3/045G06F18/23G06F18/214
Inventor 王彬栩杨跃平杨晓华刘可龙李林锋秦桑杨扬费巍叶夏明钱锡颖王德洪唐昕邢景锋焦阳吴昊
Owner 国网浙江省电力有限公司双创中心
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