Regional air-conditioning management based on fine-grained environmental information

该研究旨在通过基于实时提供的细粒度环境信息优化空调来降低某个区域的能源消耗。为了以低成本收集环境信息，我们研究了各种传感技术，例如利用用户的智能手机作为传感器的参与式传感，从社交媒体文本中进行传感，通过动物可穿戴设备进行传感。我们还开发了一个隐私保护计划，通过使用负面调查和随机响应技术相结合的参与感测。最后，我们开发了一个家庭自动化系统，控制各种家用电器，包括空调的基础上分析的传感器数据从多个信息源。总体而言，我们研究了整个故事的能源管理从获取的环境数据的基础上分析的传感数据的空调控制。

This research aims to reduce energy consumption in a certain region by optimizing air-conditioning based on fine-grained environmental information delivered in real-time. In order to collect environmental information at low cost, we studied various sensing techniques such as participatory sensing which utilizes smartphones of users as sensors, sensing from social media texts, sensing by an animal-wearable device. We also developed a privacy-preserving scheme for participatory sensing by using a combination of negative surveys and randomized response techniques. Finally we developed a home automation system that controls various home appliances including air-conditioner based on the analysis of sensor data from multiple information sources. Overall, we studied the whole story of energy management from acquisition of environmental data to the control of air-conditioner based on the analysis of the sensing data.