The purpose of this research is to find out the relationship between the air quality and meteorological factors through the concentration and meteorological monitoring data of air quality monitoring stations in Central Taiwan so as to explore the correlation between concentration of contaminant and transmission effect of atmosphere. Also, drawing Wind Rose Chart of the location of monitoring stations for various periods and seasons, explaining the tendency chart of concentration of pollution, and explore the transmission and distribution status of contaminant. Furthermore, after integrating the data from each system, and comparing across local demographics and public nuisance petitions according to the features of different data. Therefore, we can explore people’s demands and fully understand the characteristics when public nuisance petitions occur, and the correlation between the transmissions of air pollution and location of main contaminants. In addition, evaluating the function and specification for the monitoring system of future IOT by exploring and analyzing different features of sensing devices, such as the principle of sensing device, detection range, interference factors, electricity consumption, transmission method, and operation and application mode. Also, providing results and reports of Big Data case study, and conducting data mining. These results could apply in future environment monitoring and other applications, and provide analysis of domestic and international research or successful cases. We expect to construct spatial information for effective management and improve strategy formulation and adjustment measures. With IOT technology, we could provide real-time monitoring information which the public is interested in for environment management and protection.

IOT, Spatial Analysis, Big Data