Intelligent management and control cloud platform for coal mine safety based on full process traceability

Abstract

In order to effectively solve the problems of independent construction of various systems in the existing coal industry, lack of sharing of multi-system data, low utilization of intelligent analysis and data mining, this paper uses the Internet of Things, big data, artificial intelligence and other information technologies, and on the basis of in-depth integration of coal mine safety management business, we proposed the construction scheme of the whole process traceable coal mine safety intelligent management and control cloud platform, focusing on the analysis of risk management and control, hidden danger trouble shooting, team task processing business processes such as violation correction. The platform realizes the storage, integration and analysis of multi-source heterogeneous monitoring data through the data center, integrates the nine subsystems involved in coal mine safety management into the safety intelligent management and control platform, and uses the data to share a chart for collaborative management and control and effective analysis and display of data. The application results show that the platform has realized coal mine data fusion, collaborative control, business linkage and decision-making, and has a good effect in improving safety control efficiency, reducing control costs and maximizing enterprise interests.

Keywords

• intelligent management and control cloud platform for coal mine safety
• multi source heterogeneous data fusion
• data sharing
• knowledge graphs
• image recognition