大数据在空调领域的应用

Application of Big Data in Air-conditioning Field

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。

This paper presents the main sources of conventional air-conditioning data, which can be used for product research and indus- try 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 region- alism. 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.