This project is built based on Web-GIS, which provides Environmental Protection Administration to integrate environmental IoT sensors management and support decision making, and to assist environmental inspection for local environmental protection bureaus where IoT sensors are distributed. And it’s also open to the public for checking PM2.5 real-time data. Overall, it meets different requirements for users from different categories in the sensor data of management supervision and also in public service and information for supportive decision systems. The project includes the integration of heterogeneous data, enhanced algorithms to detect spatio-temporal anomalies in sensors, and advancement of the AQI prediction AI algorithm model for the next 12 hours, etc., using cloud computing technology to continuously improve system performance, and provide stable and complete data quality for inquiries and The best value-added service. Through machine learning, human-computer interaction, data visualization, big data computing and other technologies to build more intelligent applications, assist decision-making analysis applications, strengthen the government's digital governance, intelligent inspection capabilities, and expand the public services related to environmental sensing analysis data, It is hoped that through the diversified and wide-ranging work items of this project, it can provide an innovative and integrated service of the Environmental Protection Agency and move towards the next stage of smart environmental governance.

Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast