Internet of Things,Big Data,Intelligent Electrical Apparatus——the Future Development of Power Equipment

WANG Jianhua; ZHANG Guogang; SONG Zhengxiang; GENG Yingsan

doi:10.13296/j.1001-1609.hva.2018.07.001

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Internet of Things,Big Data,Intelligent Electrical Apparatus——the Future Development of Power Equipment

更新时间：2025-04-26

- Internet of Things,Big Data,Intelligent Electrical Apparatus——the Future Development of Power Equipment
- High VoltageApparatus Vol. 54, Issue 7, Pages: 1-9+19(2018)
- 作者机构：
  
  西安交通大学电力设备电气绝缘国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.07.001
  CLC： TM76
- Published：2018
- 稿件说明：
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[1]王建华,张国钢,宋政湘,耿英三.物联网+大数据+智能电器——电力设备发展的未来[J].高压电器,2018,54(07):1-9+19.

WANG Jianhua, ZHANG Guogang, SONG Zhengxiang, et al. Internet of Things,Big Data,Intelligent Electrical Apparatus——the Future Development of Power Equipment[J]. High voltageapparatus, 2018, 54(7): 1-9+19.
[1]王建华,张国钢,宋政湘,耿英三.物联网+大数据+智能电器——电力设备发展的未来[J].高压电器,2018,54(07):1-9+19. DOI： 10.13296/j.1001-1609.hva.2018.07.001.

WANG Jianhua, ZHANG Guogang, SONG Zhengxiang, et al. Internet of Things,Big Data,Intelligent Electrical Apparatus——the Future Development of Power Equipment[J]. High voltageapparatus, 2018, 54(7): 1-9+19. DOI： 10.13296/j.1001-1609.hva.2018.07.001.

摘要

随着信息技术在电力设备和电力系统中的应用

智能化电器逐步形成和发展。智能化电器能够以数字化方式获取和监测工作范围内的各项电气参数

进行智能化判断

控制和保护被操控对象

并且具有比较完备的自身监测、诊断和保护功能。对电力设备进行全寿命管理

可以更加科学地把握电力设备的运行状态

预防性地进行设备维护

从而提高系统整体可靠性和安全性。利用大数据技术对电力设备的状态数据进行分析

实现全寿命周期管理是发展的趋势。未来电力设备制造企业提供的不再是单纯的装备产品

其需要利用大数据技术通过物联网掌握电力设备的运行状态

为电力设备运行客户提供全方位的技术服务。

Abstract

As more information technologies have been utilized in power equipment and power system

intelligentelectrical equipment came into being and have been developing rapidly. The intelligent electrical apparatus has thefunction of digitalizing and monitoring the electrical parameters to implement judgement and then control and protectthe supervised objects in a smart way

besides self-monitoring

self-diagnosing and protection. It is more reasonableto analyze and determine the condition of in-service power equipment and take a predictive maintenance by using thelife-cycle management method

so as to improve the reliability and safety of the whole electrical system. It becomesan unreversed tendency to implement the life-cycle management of power equipment

through processing the onlinemonitoring parameters of power equipment with the big data related technologies. In the future

the manufactures ofpower equipment should provide overall and profound services for their customers

that is

to become service provid-ers

not just provide the physical products of power equipment

with acquiring the running parameters of powerequipment by internet of things and analyzing the lifetime state of them based on big data technologies.

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