基于粒子群算法的智慧楼宇物联网节能管理系统
周逊盛¹，李晓炉¹，刘光宇²
（1. 浙江大云物联科技有限公司，浙江 杭州 310052；2. 杭州电子科技大学人工智能研究院，浙江 杭州 310052）
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
中图分类号： TK01 文献标识码： A 文章编号： 2095-0802-(2021)03-0075-04
Smart Building IOT Energy-saving Management System Based on Particle Swarm Algorithm
ZHOU Xunsheng¹, LI Xiaolu¹, LIU Guangyu²
(1. Zhejiang Dayun IOT Technology Co., Ltd., Hangzhou 310052, Zhejiang, China; 2. 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 energysaving
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.

Key words: smart building; nonlinear optimization; particle swarm algorithm; intelligent energy saving