This project, initiated by the Southern Region Environmental Management Center, primarily addresses the adjustments in core business processes related to management and inspection, with an aim to augment the capabilities of managing and inspecting environmental concerns in seven counties and cities in the southern region through the application of smart big data technologies. The project is structured into six major tasks to achieve its objectives: Objective 1: Collection and Mastery of Cross-Regional Environmental Issues in the Southern Region: This objective is pursued through Task 1, which involves constructing an environmental management framework for the southern region. The task focuses on understanding and addressing cross-regional environmental issues and formulating environmental management strategies, supported by a dashboard of visualized data to aid decision-making. 1. Objective 2: Intelligent Systematic Analysis of Air Quality Big Data: Task 2 aims to utilize big data for intelligent, systematic analysis to identify pollution hot zones and potential high-risk pollution sources. This involves selecting 448 processes with high emission factors of volatile organic compounds across seven counties and cities, employing IoT for hot-zone analysis, and selecting five industrial areas for pollution source tracing. Additionally, Continuous Emission Monitoring Systems (CEMS) are used for data analysis in three different types of factories, enhancing management capabilities through AI-assisted big data. 2. Objective 3: Integrated Technological Enforcement for Pollution Improvement: Through Task 3, the project aims to enhance pollution improvement and self-management by integrating technological enforcement in environmental law. This involves deep inspections and verifications based on the analysis results, achieving cross-county, cross-domain integrated inspections. The task includes in-depth concern for 10 suspected factories and effective inter-county inspection communication. Additionally, a pilot study on blockchain technology using IoT data is conducted for future reference. 3. Objective 4: Strengthening Resource Support and Collaboration in Regional Environmental Management: Task 4 and 5 assist in implementing the "Southern Region Pollution Potential Hot Zone Improvement Action Plan" and optimizing cross-domain cooperation and technical capabilities. This includes conducting workshops, partner meetings for inter-county communication, and training sessions. The project also provides expert consultations, equipment rentals, and data testing as needed, completing 17 expert consultations, 8 flue gas samplings, perimeter heavy metal testing, and equipment component testing. Task 6 focuses on administrative support to enhance the execution and quality of the project. In summary, the project's three key highlights are: 1) Enhancing management capabilities through AI and big data, 2) Utilizing intelligent tools for on-site inspections, and 3) Strengthening inter-county cooperation and expert technical exchanges. The project has successfully achieved these key points, thereby creating significant value in its completion.

audit for heterogeneous data integration using artificial intelligence (AI), dashboard of visualized data, hot-zone analysis, cross-domain governance, assistance in intelligent inspection