摘要
针对暖通空调(HVAC)系统高耗能、高污染的问题,从数据分析方面设计了HVAC系统的智慧数据中心。通过传感器获取HVAC终端的数据,利用联邦学习平均算法实现数据分析。采用多路径通信保证数据传输的安全,实现了HVAC系统精准节能运行。设计了地源热泵功能模块和热能回收功能模块。地源热泵功能模块可实现对太阳能和地热能等可再生能源的利用,保证了HVAC系统的环保性。由试验仿真的分析与对比结果可知,该HVAC系统实现了耗电量和排出热量的减少。该HVAC系统可确保节能环保技术的应用效能。
Aiming at the problem of high energy consumption and pollution in heating,ventilation and air conditioning(HVAC)system,a smart data center in HVAC system is designed from the aspect of data analysis.It obtains data from HVAC terminals through sensors,uses federal learning average algorithms to achieve data analysis.Adopting multi-path communication to ensure the security of data transmission,which achieves accurate energy-saving operation of the HVAC system.The ground source heat pump function module and heat recovery function module are designed.The ground source heat pump function module can realize the use of renewable energy sources such as solar energy and geothermal energy,ensuring the environmental friendliness of the HVAC system.After analyzing and comparing the experimental simulation,the HVAC systm achieves a reduction in power consumption and heat emission.The HVAC system can ensure the effectiveness of energy-saving and environmental protection technology in the application.
作者
李忠锋
LI Zhongfeng(China Railway First Group Building&Installation Engineering Co.,Ltd.,Xi’an 710043,China)
出处
《自动化仪表》
CAS
2024年第3期40-44,共5页
Process Automation Instrumentation
关键词
暖通空调系统
联邦学习
节能环保
地源热泵
多路径通信
新风热能回收
Heating,ventilation and air conditioning(HVAC)system
Federated learning
Energy-saving and environmental protection
Ground source heat pumps
Multi-path communication
Fresh air heat recovery
