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基于粒子群算法的智慧楼宇物联网节能管理系统
引用本文:周逊盛,李晓炉,刘光宇. 基于粒子群算法的智慧楼宇物联网节能管理系统[J]. 能源与节能, 2021, 0(3): 75-78
作者姓名:周逊盛  李晓炉  刘光宇
作者单位:浙江大云物联科技有限公司;杭州电子科技大学人工智能研究院
摘    要:为实现节能办公,以公共开间为应用场景,建立了智慧楼宇物联网节能管理系统.通过对公共开间子节点多种电器设备的使用情况进行采集与分析,实现了对办公设备用电的远程监控.在此基础上,为了实现节能用电,提出了非线性优化节能模型,并用粒子群算法实现.经算例验证,该算法可有效地达到节能目的,对于能耗管理有很大的意义.

关 键 词:智慧楼宇  非线性优化  粒子群算法  智能节能

Smart Building IOT Energy-saving Management System Based on Particle Swarm Algorithm
ZHOU Xunsheng,LI Xiaolu,LIU Guangyu. Smart Building IOT Energy-saving Management System Based on Particle Swarm Algorithm[J]. Energy and Conservation, 2021, 0(3): 75-78
Authors:ZHOU Xunsheng  LI Xiaolu  LIU Guangyu
Affiliation:(Zhejiang Dayun IOT Technology Co.,Ltd.,Hangzhou 310052,Zhejiang,China;Artificial Intelligence Research Institute,Hangzhou Dianzi University,Hangzhou 310052,Zhejiang,China)
Abstract:In order to achieve energy-saving office work,a smart building IOT energy-saving management system was established using public rooms as an application scenario.By collecting and analyzing the usage of various electrical equipment in the public bay sub-nodes,remote monitoring of office equipment power consumption was realized.On this basis,in order to achieve energy-saving power consumption,this paper proposed a nonlinear optimization energy-saving model and implemented it by particle swarm optimization.The calculation examples show that the algorithm can effectively achieve the energy-saving purpose,which is of great significance to energy-saving management.
Keywords:smart building  nonlinear optimization  particle swarm algorithm  intelligent energy saving
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