基于云边协同的大型楼宇智慧能源管理系统设计  

Design of an Intelligent Energy Management System for Large Buildings Based on Cloud-Edge Collaboration

作　　者：贾立敬 李文斌 黄煜 许宝玉 卢荣飞 Jia Lijing;Li Wenbin;Huang Yu;Xu Baoyu;Lu Rongfei(Guangdong Power Grid Energy Development Co.,Ltd.,Guangzhou 510000,China;Chaozhou Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Chaozhou 521000,China)

机构地区：[1]广东电网能源发展有限公司,广州510000 [2]广东电网有限责任公司潮州供电局,潮州521000

出　　处：《办公自动化》2025年第3期120-122,共3页Office Informatization

摘　　要：由于大型楼宇能源设备构成具有多样性,导致各能源组成部分的单位运行成本较高。为优化能耗,文章提出基于云边协同的大型楼宇智慧能源管理系统。将类树莓派开发板——XPI-S905X4作为设计系统的核心装置,对楼宇能耗进行预测,根据预测结果,利用边缘端计算大型楼宇的能耗,确定建筑的能效比,并以云端存储的楼宇能源能效比最大值为基础,调度管理对应的输出能量,从而实现智慧能源管理。经测试发现,应用该系统后,各能源单位运行成本的降幅不仅稳定,而且均超过对照组的降幅。Due to the diversity of energy equipment in large buildings,the unit operating cost of each energy component is relatively high.To optimize energy consumption,this paper proposes a large-scale building intelligent energy management system based on cloud-edge collaboration.The system utilizes a Raspberry Pi-like development board,XPI-S905X4,as its core device to predict building energy consumption.Based on these predictions,edge computing is used to calculate the energy consumption of large buildings and determine their energy efficiency ratios.Using the maximum energy efficiency ratio stored in the cloud as a reference,the system schedules and manages corresponding output energy,thereby achieving smart energy management.Testing has shown that the application of this system results in not only a stable reduction in operating costs for each energy unit but also exceeds the reductions observed in the control group.

关 键 词：云边协同 智慧能源管理 楼宇能耗 能源能效比最大值 输出能量 

分 类 号：TU855[建筑科学] TP315[自动化与计算机技术—计算机软件与理论]