The Implementation of Air Pollution Monitoring Service Using Hybrid Database Converter

摘要

In this work, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combines environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed in the cloud using HBase, which supports storing large amounts of data, free to easily increase storage space. The iDEMS also can compute through Hadoop MapReduce for the HBase database to do distributed computing or cloud computing to process environmental records. In this part, we particularly Take great effort to improve the performance of read and write in big data and provide functions, including information searching, data filtering, and basic statistics. In addition, iDEMS integrated with an intelligent control socket to effectively improve the air quality of indoor environment and reduce the concentration of pollutants in the environment to keep people far from pollutants. Finally, IDEMS presents the environmental information by a web-based monitoring platform so that users can use the Internet to monitor the environment and adjust the indoor environment at any time, any place as wanted.