|本期目录/Table of Contents|

[1]黄 斌,刘红星,王民涛,等.基于智慧全景控制大数据的设备物资全寿命周期实时监测体系架构[J].工业仪表与自动化装置,2020,(02):16-21.
 HUANG Bin,LIU Hongxing,WANG Mintao,et al.Real-time monitoring system architecture of equipment and materials life cycle based on large data of intelligent panoramic control[J].Industrial Instrumentation & Automation,2020,(02):16-21.
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基于智慧全景控制大数据的设备物资全寿命周期实时监测体系架构

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2020年02期
页码:
16-21
栏目:
出版日期:
2020-04-15

文章信息/Info

Title:
Real-time monitoring system architecture of equipment and materials life cycle based on large data of intelligent panoramic control
文章编号:
1000-0682(2020)02-0000-00
作者:
黄 斌1刘红星2王民涛2张翰林1纪舜尧1
1.国家电网内蒙古东部电力有限公司物资分公司,呼和浩特 010010;
2.国家电网内蒙古东部电力有限公司,呼和浩特 010011
Author(s):
HUANG Bin1 LIU Hongxing2 WANG Mintao2 ZHANG Hanlin1 JI Shunyao1
1.State Grid Inner Mongolia Eastern Power Co., Ltd. Material Branch, Hohhot 010010, China;
2.State Grid Inner Mongolia Eastern Power Co., Ltd., Hohhot 010011, China
关键词:
电力设备物资状态实时监测无线物联自组网全景大数据Python 3.7.4
Keywords:
power equipment and materials real-time status monitoring wireless IoT self-organizing network panoramic big data Python 3.7.4
分类号:
TP277
DOI:
-
文献标志码:
A
摘要:
多维视角分析了智慧电网落地实施大背景下构建电力设备物资全寿命周期实时监测体系架构的内在驱动需求性,构建了基于智慧全景控制大数据的设备物资全寿命周期实时监测体系架构并研发了配套原型系统。借助嵌入Storm流计算的数据融合算法对多维数据进行快速计算与暂存,利用ZigBee构建多节点无线物联自组网,采用Pandas分布式数据处理模型全景还原电力设备物资真实工作状态。研发对应原型系统开展运维效能验证试验,结果表明,原型系统具备电力设备物资多维状态数据获取、传送、解码回复、全景复现等全链功能,对智慧电力的深度融合落地实施具有积极作用。
Abstract:
From the multi-dimensional perspective,this paper analyzes the internal driving demand of building a real-time monitoring system architecture for the life cycle of power equipment and materials under the background of the implementation of smart grid,constructs a real-time monitoring system architecture for the life cycle of equipment and materials based on smart panoramic control big data, and develops a supporting prototype system.The data fusion algorithm embedded with Storm stream calculation is used to quickly calculate and temporarily store multi-dimensional data.ZigBee is used to build a multi-node wireless IoT ad hoc network.The Pandas distributed data processing model is used to restore the true working state of power equipment materials.The corresponding prototype system was developed to carry out operation and maintenance efficiency verification experiments.The results show that the prototype system has full-chain functions such as multi-dimensional state data acquisition, transmission,decoding response,and panoramic reproduction of power equipment materials,which has a positive effect on the deep integration of smart power.

参考文献/References:

[1]刘汪洋,谢真强,牟其林.基于全景涉信大数据的智慧信用治理体系架构[J].电信科学,2018,34(05):105-112.

[2] 周国亮,吕凛杰,王桂兰.电力大数据全景实时分析关键技术[J].电信科学,2016,32(4):159-168.
[3] 徐建辉,聂中文,蔡珂.基于物联网和大数据的全生命周期智慧管道实施构想[J].油气田地面工程,2018,37(12): 12-19.
[4] 张伟,骆雪平.基于系统思维的基础设施项目全生命周期智慧管理平台框架[J].工程管理学报,2017,31(01):60-65.
[5] 王立健,何青,赵晓彤.基于集团级数据库的电力物资全寿命周期管理方法及应用[J].电力与能源,2018,39(2): 147-150.
[6] 翟瑞聪,高雅.电力设备远程监测诊断中心系统遥视信息联动应用研究[J].电力系统保护与控制,2015,43(08): 150-154.
[7] 桂媛,朱武,马维亚.电力设备红外测温多点精确定位控制系统设计[J].电源技术,2015,39(2):403-406.
[8] 王雷,丁伯才,张琪.基于物联网的船舶电力设备状态监测系统[J].计算机与数字工程,2019,47(2):485-488.
[9] 刘俊,潘滢伊,曾少华.电力数据通信网配置核查系统设计与实现[J].计算技术与自动化,2018,37(03):82-92.
[10] 魏可刚,房祥龙,林楚乔.基于红外测温和无线传输技术的电力设备温度在线监测系统设计[J].东北电力大学学报,2015, 35(6):17-20.

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备注/Memo

备注/Memo:
收稿日期:2019-12-06
基金项目:国家电网有限公司科学技术研究项目(PD72-17-006);国家电网有限公司科学技术研究项目(YF18012011P)
作者简介:黄斌(1969),男,内蒙古包头市人,高级工程师,硕士,主要研究方向为电力系统及其自动化,自动化技术与应用等。E-mail:hb_196903@163.com
更新日期/Last Update: 1900-01-01