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大数据在空调领域的应用
陈焕新, 刘江岩, 胡云鹏, 李冠男
0
(华中科技大学制冷及低温工程系)
摘要:
本文阐述了传统空调数据的主要来源,从空调研发等几个方面分析了传统空调数据的用途;围绕空调产品和空调企业,梳理了空调领域大数据的产生原因及来源;空调大数据的多度量性、多维度性、地域性等特点对数据挖掘提出了挑战;探讨了大数据在空调领域的应用,重点分析了大数据在空调系统优化、故障诊断、建筑能耗与维护预测、企业人力资源和资金分配、企业提供个性化定制服务等方面的用途;通过挖掘海量空调数据可以预测用户行为,表明空调领域大数据安全防护应当得到重视。
关键词:  数据挖掘  制冷空调  故障诊断  能耗分析
DOI:
    
基金项目:国家自然科学基金(51328602)资助项目。
Application of Big Data in Air-conditioning Field
Chen Huanxin, Liu Jiangyan, Hu Yunpeng, Li Guannan
(Department of Refrigeration and Cryogenic Engineering, Huazhong University of Science and Technology)
Abstract:
This paper presents the main sources of conventional air-conditioning data, which can be used for product research and industry standard development. The sources and reasons of big data in air-conditioning field have been combed by both air-conditioning products and their enterprises. The big data in air-conditioning field are challengeable to be mined for its multi-metric, multi-dimension and regionalism. Applications of big data in air-conditioning field are generalized mainly on system optimization, fault detection and diagnosis, building energy prediction, allocation of enterprise human and capital resource, personalized customization etc. As user behaviors can be detected by mining the massive data, the protection of big data should be brought to the forefront.
Key words:  data mining  refrigeration and air-conditioning  fault detection  energy analysis

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