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Intelligent monitoring system for operation and maintenance state of power equipment

A technology for power equipment and intelligent monitoring, applied in information technology support systems, electrical components, measuring devices, etc., can solve problems such as unbalanced deployment of distributed optical fiber nodes, inaccurate data detection, strong correlation of perceived data, etc., to reduce defects Incidence rate, improvement of work efficiency, and effect of reducing prediction error

Pending Publication Date: 2020-05-12
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the simplest way to improve the quality of data collected by sensor nodes is to use multiple sampling to collect enough sampled data for each sensor, and then take the average value of the sampled data as the final sampled data. Balanced, frequent collection frequency, strong association of perceived data, etc., directly and simply transfer the collected data to the computer for calculation, it is prone to inaccurate data detection

Method used

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  • Intelligent monitoring system for operation and maintenance state of power equipment
  • Intelligent monitoring system for operation and maintenance state of power equipment
  • Intelligent monitoring system for operation and maintenance state of power equipment

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Embodiment 1

[0043] This embodiment provides an intelligent monitoring system for the operation and maintenance status of electric power equipment, including a signal sensing device, a data acquisition device, and an information calculation and diagnosis device connected in sequence. The signal sensing device includes a distributed optical fiber sensor, which is distributed and installed on the power equipment to be tested. The information computing diagnostic device stores a program for executing the following steps:

[0044] Send data read trigger signal regularly;

[0045] Based on the collected data, use the built prediction model based on the linear autoregressive method to perform prediction processing, realize data flow optimization, and obtain the final sampling data of the power equipment to be tested;

[0046] The monitoring results of the power equipment under test are obtained based on the final sampling data.

[0047] 1. Signal perception device

[0048] The distributed opti...

Embodiment 2

[0109] The intelligent monitoring system for power equipment operation and maintenance status provided in this embodiment is as follows: figure 1 As shown, the electric equipment 1 is monitored in real time. Power equipment mainly refers to equipment that needs to be monitored for corresponding conditions, including transformers, switch cabinets, and transmission lines in substations. The electric equipment monitored in this embodiment is a substation. The signal flow of the monitoring system is as follows figure 2 shown.

[0110] In this monitoring system, the laser signal sensing unit includes an optical fiber 2, an optical coupler 3, an optical fiber amplifier 4, an anti-stokes optical filter 5, a stokes optical filter 6, photoelectric conversion signal amplifiers 7 and 8, a laser 17, and a pulse drive circuit 9. Anti-theft early warning monitoring circuit 10 and high voltage circuit 11.

[0111] The data acquisition device is a high-speed data acquisition circuit 12 ....

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Abstract

The invention relates to an intelligent monitoring system for an operation and maintenance state of power equipment. The system comprises a signal sensing device, a data acquisition device and an information operation diagnosis device which are connected in sequence, the signal sensing device comprises distributed optical fiber sensors which are distributed and installed on power equipment to be tested, and the information operation diagnosis device stores programs for executing the following steps that data reading trigger signals are sent out at regular time; and based on the collected data,prediction processing is performed by using the constructed prediction model based on the linear autoregression method, thereby realizing data flow optimization and obtaining final sampling data of the to-be-tested power equipment, and the monitoring result of the to-be-monitored power equipment is obtained based on the final sampling data. Compared with the prior art, the intelligent monitoringsystem has the advantages of reducing the defect occurrence rate of an optical fiber detection system, improving the working efficiency, ensuring safe and efficient operation of a power grid and the like.

Description

technical field [0001] The invention relates to laser signal perception, optimization processing and diagnosis decision-making technology of electric equipment, in particular to an intelligent monitoring system for operation and maintenance status of electric equipment. Background technique [0002] Power substation is an important carrier of power transmission. With the rapid development of power supply network and the reduction of power supply radius, the safe operation and accidents of power substations occur from time to time. One of the important reasons is the lack of online monitoring of power substation operation and maintenance. For example, the traditional power substation operation and maintenance is to install point monitoring devices such as vibration sensors in the power substation for vibration monitoring. The vibration situation of the local position of the power substation cannot realize the online monitoring of the vibration of the whole power substation an...

Claims

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Application Information

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IPC IPC(8): H02J13/00G01D21/02G06F17/11G06F17/18G06K9/62G08B13/00
CPCG01D21/02G06F17/18G06F17/11G08B13/00G06F18/251G06F18/22Y04S40/124Y02E60/00
Inventor 江友华刘子瑜易罡黄荣昌尤飘飘
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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