Dynamic Control System of Coal Mine Safety Risk Map Based on Cloud Model
Haoran Li · Financial Engineering and Risk Management · 2024
Safety risk management in coal mine production has always been a major challenge in the field of industrial safety, and frequent coal mine safety accidents pose a serious threat to production and worker life. Therefore, it is urgent to explore efficient and dynamic coal mine safety management methods. This study proposes a dynamic control system for coal mine safety risk maps based on cloud models. By integrating cloud computing technology and risk management theory, a multi-level and dynamically updated risk assessment model is constructed. The system utilizes the powerful data processing capabilities of cloud computing to collect and integrate real-time and historical data in coal mine production. It uses cloud modeling algorithms to deeply analyze this data and achieve real-time dynamic assessment of coal mine safety risks. In addition, the system combines geographic information systems to present risk assessment results in an intuitive form of security risk maps, improving the visualization and intuitiveness of risk data. The response time fluctuated between 50 and 51 milliseconds throughout the entire testing process, indicating that the system's response speed to requests was very stable and did not slow down due to prolonged operation. Through this new dynamic control system, not only can the level of coal mine safety management be improved, but it also provides new ideas and methods for risk management in high-risk industries.