With the rapid development of smart manufacturing industries, the importance of factory disaster risk management is growing. The Department of Occupational Safety and Health at Chung Shan Medical University (CSMU), in collaboration with the Institute of Labor, Occupational Safety and Health (ILOSH) under the Ministry of Labor and the Taichung City Labor Affairs Bureau, held the “Smart Disaster Prevention Platform and Practical Workshop for Factory Safety” on August 5 at CSMU’s Cheng-Hsin Building.

The workshop focused on chemical safety and machinery equipment safety in factories, integrating AI applications and smart inspection systems to enhance disaster prevention practices and promote workplace safety policies. The event attracted participation from multiple enterprises and occupational safety professionals, receiving positive feedback.

Centered on two core topics—“Smart Disaster Prevention Platform for Chemical Spill Incidents” and “Smart Inspection System for Machinery Manufacturing”—the workshop showcased the AI-based “Occupational Safety Master” system developed by the CSMU team. Through keynote lectures and hands-on demonstrations, the program illustrated the practical applications of artificial intelligence in occupational safety and health (OSH) management. Participants learned how to improve efficiency and accuracy in chemical management and machinery inspections, establishing mechanisms for real-time response and prevention.

Department Chair Prof. Yuan-Che Chang noted that traditional OSH management relies heavily on manual inspections and extensive paper records, which often lead to delays in information retrieval and response time. With advancing technology, new tools are making “technology-driven disaster mitigation” and “smart disaster prevention” more than just slogans—they are becoming achievable goals. Such tools can shift OSH management from “reactive response” to “proactive prevention,” and with big data analysis, significantly improve safety management efficiency while reducing accident rates.

Taichung City Labor Affairs Bureau Director Shu-Yuan Lin emphasized that in the face of labor market challenges such as manpower shortages and workforce aging, technology-based management systems not only enhance disaster prevention capacity but also reduce human error and management costs. The morning session of the workshop covered AI applications for chemical management and spill response, using big data analytics and automated procedures to minimize errors and damage risks. The afternoon session focused on smart machinery inspection, with hands-on training to help companies better identify high-risk operations.

Supported by the ILOSH project “Survey on Safety Requirements for Smart Factories and Workshop Implementation,” the initiative will continue to promote smart disaster prevention technologies in industry. Additional thematic workshops on smart factory disaster prevention will be held on August 19, September 10, and October 22, aiming to deepen workplace safety culture and build safe, sustainable labor environments.