长江流域住宅用空调器使用状态与能耗大数据分析
Big data analysis on usage state and energy consumption of residential air conditioners in the Yangtze River basin
摘要：
依托空调物联网云平台，对安装在长江流域住宅中的8.9万台空调器进行了在线检测，基于云平台强大的数据处理能力对1年共4 462万次的实测数据样本进行了针对性的量化分析。从宏观层面分析了用户对空调器的使用习惯、空调器的使用状态和空调器的运行能耗，明确了长江流域住宅的室内温度状态、空调器运行时的室外温度分布等信息。该方法弥补了传统抽样、问卷调查样本量的不足，能更客观地反映长江流域的空调器使用习惯和实际运行状态，为适用于该地区的空调器的研发提供设计参数支撑，同时也为空调器的季节性能评价提供工作参数统计数据。
Abstract：
Based on the cloud platform of air conditioning Internet of things (IoT), carries out the online tests of 89 000 air conditioners installed in residential buildings of the Yangtze River basin. Quantitatively analyses the 44.62 million measured data in one year based on the powerful data processing ability of the cloud platform. Analyses the using habit, usage state and energy consumption of the air conditioners from a macroscopic view, which points out the state of indoor temperature of residential buildings in this area and the outdoor temperature distribution of the air conditioners during operation. This method solves the defect of the sampling and questionnaire surveys, and reflects the using habit and practical operating condition of the air conditioners in the Yangtze River basin in a more objective way, providing design parameter support for the development of air conditioners suited for the region, and working parameter statistical data for the seasonal performance evaluation of air conditioners.
Keywords:the Yangtze River basin, air conditioner, residence, temperature, energy consumption, big data