Research and Design of Heating Defect Discrimination and Prediction System for Substation Equipment Based on Multi-technology Integration of Ubiquitous Power Internet of Things

ZHUANG Jianhuang; PENG Jian; CHEN Zhong; LIN Junchao

doi:10.13296/j.1001-1609.hva.2020.09.008

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Research and Design of Heating Defect Discrimination and Prediction System for Substation Equipment Based on Multi-technology Integration of Ubiquitous Power Internet of Things

更新时间：2025-04-26

- Research and Design of Heating Defect Discrimination and Prediction System for Substation Equipment Based on Multi-technology Integration of Ubiquitous Power Internet of Things
- High VoltageApparatus Vol. 56, Issue 9, Pages: 54-59(2020)
- 作者机构：
  
  国网福建省电力有限公司莆田供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.09.008
  CLC： TM63;TN929.5;TP391.44
- Published：2020
- 稿件说明：
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[1]庄建煌,彭健,陈重,林俊超.基于泛在电力物联网的多技术融合变电设备发热缺陷判别预测系统的研究设计[J].高压电器,2020,56(09):54-59.

ZHUANG Jianhuang, PENG Jian, CHEN Zhong, et al. Research and Design of Heating Defect Discrimination and Prediction System for Substation Equipment Based on Multi-technology Integration of Ubiquitous Power Internet of Things[J]. High voltageapparatus, 2020, 56(9): 54-59.
[1]庄建煌,彭健,陈重,林俊超.基于泛在电力物联网的多技术融合变电设备发热缺陷判别预测系统的研究设计[J].高压电器,2020,56(09):54-59. DOI： 10.13296/j.1001-1609.hva.2020.09.008.

ZHUANG Jianhuang, PENG Jian, CHEN Zhong, et al. Research and Design of Heating Defect Discrimination and Prediction System for Substation Equipment Based on Multi-technology Integration of Ubiquitous Power Internet of Things[J]. High voltageapparatus, 2020, 56(9): 54-59. DOI： 10.13296/j.1001-1609.hva.2020.09.008.

摘要

目前

变电设备发热缺陷主要依托人工红外测温发现

但人工判别过程繁琐且缺乏时效性

并存在测温数据应用单一

测温信息未进行深度挖掘应用等问题。文中基于泛在电力物联网的理论体系下

结合云、管、边、场、端架构体系

设计出由智能数据采集分析终端（感知层）、手机客户端APP（网络层+应用层）、变电设备运检管理系统和大数据分析平台（平台层）4个模块组成的变电设备发热缺陷判别预测系统。该系统融合物联网的通信和识别、云计算的计算和存储以及大数据的数据处理和分析等技术

可为变电设备的智能化管理提供数据和决策的支持。

Abstract

At present

the heating defects of substation equipment are mainly found by artificial infrared temperature measurement.However

it is cumbersome and inefficient of manual discrimination

and exist some problems such as single application of temperature measurement data and no deep mining to utilize temperature measurement information.Based on the theoretical system of ubiquitous power internet of things

the intelligent data acquisition and analysis terminal is designed by combining cloud

pipe

edge

field and terminal architecture systems（perception layer）

mobile phone client APP（network layer+application layer）

substation equipment inspection management system and the analysis of big data platform（platform layer） composed of four modules heating substation equipment defect discrimination forecast system.The system integrates multi-technology such as IoT’ s communication and identification

of computing and storage cloud computing

data processing and analysis of big data technology etc.to provide data and decision support for intelligent management of substation equipment.

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