Recently, research has established a screening system comprising a combination of two technologies, the MEMS sensor and the field and laboratory emission cell (FLEC), to perform experiments. The aim of our study was to establish MEMS sensor field emission cell technology (MS-FECT) to measure the changes in the pollutant concentration of field emission cells. A building material emission database was created via an Internet of Things (IoT) in order to develop a MEMS sensor field emission modeling platform. On the basis of information of the building material emission database and decay models, the MS-FECT, IoT, indoor positioning system (Beacon), and cloud database are integrated in this system. The source of pollution was determined by sensing and data analysis to create a multidimensional map of pollution sources to determine air quality in order to monitor the location of pollutants and flow conditions in the long term to change the indoor air quality efficiently. Moreover, the results of this study will be helpful in house interior design, the maintenance of residents’ health, and the reduction of carcinogenic threats.