A distributed energy monitoring network system based on data fusion via improved PSO

被引：12
作者：
Sung, Wen-Tsai [1 ]
Chung, Hung-Yuan [2 ]
机构：
[1] Natl Chin Yi Univ Technol, Dept Elect Engn, Taichung 41170, Taiwan
[2] Natl Cent Univ, Dept Elect Engn, Jhongli, Taoyuan County, Taiwan
来源：
MEASUREMENT | 2014年 / 55卷
关键词：
Particle Swarm Optimization; Wireless sensor networks; Embedded systems; Distributed energy monitoring; PARTICLE SWARM OPTIMIZATION; SENSORS; DESIGN;
D O I：
10.1016/j.measurement.2014.05.007
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This study uses ZigBee wireless sensor network technology to build a distributed energy monitoring and management research system. A network of nodes can immediately capture the energy of the state in order to collect and analyze information through ZigBee wireless devices transmitting to a central system network server host. With an improved Particle Swarm Optimization (IPSO) approach to data integration optimization calculations, the results of this study will allow the construction of a distributed energy network monitoring system to obtain the optimal solution. The results developed in this study can be applied to energy management, environmental management, information management, plant monitoring, renewable energy management and other fields. In addition to emphasizing the GIO embedded system design techniques for automating energy management, this paper also notes the importance of building distributed nodes using ZigBee technology and energy management system control for addressing such situations as factory fires, theft and energy management security monitoring systems development. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：362 / 374
页数：13
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