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Intelligent detection and early warning method for user transformer

An intelligent detection and transformer technology, applied in the power field, can solve the problems of transformer three-phase load unbalance monitoring and early warning, incomplete monitoring system, power parameter monitoring, etc., to achieve the effect of improving operation conditions, avoiding output reduction, and ensuring safe operation.

Pending Publication Date: 2021-09-10
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing monitoring system is not comprehensive, and the monitoring information is single. It only monitors and controls a certain item of equipment or uses it as an auxiliary control condition, and the existing equipment does not monitor related power parameters, such as three-phase load of transformers. Unbalanced monitoring and early warning, transformer fan bad track monitoring and alarm, resulting in manual observation and statistical calculation during operation, so how to comprehensively and automatically detect and fault early warning of transformers is an urgent problem that needs to be solved

Method used

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  • Intelligent detection and early warning method for user transformer
  • Intelligent detection and early warning method for user transformer
  • Intelligent detection and early warning method for user transformer

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Experimental program
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Embodiment 1

[0034] refer to figure 1 , which is an embodiment of the present invention, provides a user transformer intelligent detection and early warning method, including:

[0035] S1: Collect the operating parameters of the transformer and perform preprocessing; what needs to be explained is:

[0036] The operating parameters of the transformer include temperature and humidity, current and voltage;

[0037] Further, preprocessing the operating parameters of the transformer includes:

[0038] Perform data cleaning, data transformation and data set synthesis on the collected data;

[0039] Convert the data isolation of the data after the data set synthesis into a digital signal;

[0040] The feature data set obtained by normalizing the digital signal is:

[0041] Y∈{x*,y*,i*,u*}

[0042] Among them, x* represents the temperature value, y* represents the humidity ratio, i* represents the current value, and u* represents the voltage value.

[0043] S2: Compare the preprocessed data ...

Embodiment 2

[0070] This embodiment is another embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a verification test of a user transformer intelligent detection and early warning method. In order to verify the technical effect adopted in this method, In this embodiment, a comparison test is carried out between the traditional technical solution and the method of the present invention, and the test results are compared by means of scientific demonstration, so as to verify the real effect of the method.

[0071] Traditional technical solutions: The monitoring and testing information is single, and most of the time requires manual testing with low automation, low accuracy and efficiency, and high cost, resulting in low safety and reliability of power equipment. In order to verify that this method has higher detection accuracy and efficiency than traditional methods. In this embodiment, the traditional manual detection method and th...

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Abstract

The invention discloses an intelligent detection and early warning method for a user transformer. The method comprises the steps of collecting and preprocessing operation parameters of the transformer; comparing the preprocessed data with preset standard data; if the data value does not meet the preset standard data value, distinguishing prompt is carried out, early warning information is sent to a terminal, and the terminal carries out adjustment according to the early warning information and continuously carries out data comparison; and when the adjustment time exceeds the preset time and the digital signal does not meet the standard data preset value, starting an active control system to control the fault operation transformer to stop operating. Omnibearing monitoring of operation of the transformer and improvement of operation conditions of the transformer by auxiliary equipment are realized, electric energy loss of the transformer and a circuit is reduced, output reduction of the distribution transformer and large zero-sequence current generated by the distribution transformer are avoided, safe operation of electric equipment is guaranteed, electric power resources are utilized to the maximum extent, and the requirement of electric equipment on the power quality is met.

Description

technical field [0001] The invention relates to the technical field of electric power, in particular to an intelligent detection and early warning method for user transformers. Background technique [0002] The temperature and humidity device can monitor the temperature and humidity of the equipment environment, and can start the auxiliary equipment for temperature and humidity processing; the current transformer and voltage transformer can convert large current and high voltage into small current and low voltage to achieve the purpose of safety isolation , to ensure the safety and reliability of personnel when measuring large current and high voltage, and at the same time meet the needs of secondary equipment electronic products; the signal processor can process the collected information and visually present the equipment situation through the screen display. However, the existing monitoring system is not comprehensive, and the monitoring information is single. It only moni...

Claims

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Application Information

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IPC IPC(8): G01D21/02G06K9/62
CPCG01D21/02G06F18/24323G06F18/214
Inventor 谭彦毅何山张果吕秀陈胜华黄鹏
Owner GUIZHOU POWER GRID CO LTD
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