基于大数据的制冷空调系统优化研究  

Optimization of Refrigeration Air Conditioning System Based on Big Data

作　　者：刘林进 LIU Linjin(Beijing International Engineering&Construction Co.,Ltd.,Beijing 100073,China)

机构地区：[1]北京国际工程有限公司,北京100073

出　　处：《能源与节能》2025年第2期18-20,32,共4页Energy and Energy Conservation

摘　　要：随着大数据技术的快速发展,其在制冷空调系统中的应用日益广泛,为能效分析、需求响应、故障预测与维护提供了新的优化策略。概述了大数据技术的基础,包括数据收集、分析与处理;详细探讨了物联网设备在空调系统中的应用、用户行为数据的收集以及云计算和机器学习算法在数据分析与处理中的作用;深入分析了大数据技术在制冷空调系统能效优化、需求响应与负载调节、故障预测与维护方面的策略,提出了基于数据分析的高效能源使用策略、用户需求预测、空调系统的动态调节及预测性维护的概念和模型。这些策略有助于提高空调系统的运行效率,降低能耗,提升系统的可靠性和稳定性。With the rapid development of big data technology,its application in refrigeration air conditioning systems is increasingly extensive,providing new optimization strategies for energy efficiency analysis,demand response,fault prediction and maintenance.The fundamentals of big data technology were outlined,including data collection,analysis and processing.Then the application of IoT devices in air conditioning systems,the collection of user behavior data,and the role of cloud computing and machine learning algorithms in data processing were explored in detail.The strategies of big data in energy efficiency optimization,demand response and load regulation,fault prediction and maintenance of refrigeration air conditioning system were deeply analyzed,and the concepts and models of efficient energy use strategy,user demand prediction,dynamic regulation and predictive maintenance of air conditioning system based on data analysis were put forward.These strategies help to improve the efficiency of the air conditioning system,reduce energy consumption,and improve the reliability and stability of the system.

关 键 词：大数据技术 数据收集 数据分析 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程]