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Online transformer state evaluation and analysis method based on artificial intelligence technology

A technology of artificial intelligence and analysis method, applied in the field of electric power, can solve the problems of too many faults and false alarms, insufficient utilization and analysis of online monitoring data, etc., to achieve the effect of improving reliability, reducing labor intensity, and reducing the rate of false alarms and omissions.

Inactive Publication Date: 2018-05-18
南京力通达电气技术有限公司
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an online evaluation and analysis method of transformer status based on artificial intelligence technology, which solves the technical problems of many faults in the prior art, insufficient utilization and analysis of online monitoring data, and inability to guide operation and maintenance personnel to process.

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  • Online transformer state evaluation and analysis method based on artificial intelligence technology
  • Online transformer state evaluation and analysis method based on artificial intelligence technology
  • Online transformer state evaluation and analysis method based on artificial intelligence technology

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Embodiment Construction

[0031] Such as Figure 1-Figure 5 The shown online transformer status evaluation and analysis method based on artificial intelligence technology includes the following steps:

[0032] Step 1: Establish a transformer comprehensive online diagnosis system. The transformer comprehensive online diagnosis system includes a sensor unit, a data communication module, an IED device and a data center processing server. The sensor unit is connected to the IED device, the IED device is connected to the data communication module, and the data communication module is connected to the Data centers handle server connections;

[0033] The IED device is a transformer data integration device (the transformer data integration device is a prior art, so it will not be described in detail).

[0034] Step 2: The sensor unit collects the current operating data information of the transformer, and transmits the current operating data information to the IED device, and the IED device summarizes and gene...

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Abstract

The invention discloses an online transformer state evaluation and analysis method based on an artificial intelligence technology, and belongs the field of power technologies. The method comprises that an integrated online transformer diagnosis system is established, and a historical fault information module, a real-time data collection module, a fault sensing and analysis module, an artificial intelligence analysis module, an online transformer evaluation and analysis module and an MMI (Man-Machine Interface) are established in a processing server of a data center. The technical problems thatfault report mistakes are too many, online monitoring data is not utilized and analyzed sufficiently and operation staff cannot be guided effectively in the prior art can be solved. The method can beused to improve the reliability of online transformer monitoring and equipment state evaluation, the false alarm rate and the alarm omission rate of equipment are reduced, and the labor intensity ofthe operation staff is reduced.

Description

technical field [0001] The invention belongs to the field of electric power technology, in particular to an online transformer state evaluation and analysis method based on artificial intelligence technology. Background technique [0002] The power transformer is an important key equipment of the power system. Its operating conditions are directly related to the safe operation of the power system. Once a failure occurs, it will inevitably lead to partial or even complete system paralysis, seriously affecting the normal power supply of daily life and production, resulting in huge losses. . [0003] The current transformer status online monitoring system reflects the following problems during operation: [0004] 1. High false alarm rate of equipment: After the online transformer monitoring equipment is put into operation, there is no compatibility analysis, and each module is relatively independent, so there will be many false alarms of equipment failures. [0005] 2. Insuff...

Claims

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/12
Inventor 姜国连谢志迅满振梅王超周正超杨军伟
Owner 南京力通达电气技术有限公司
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