The information of personnel, environment, equipment and so on is collected, to construct the digital twin mine completely consistent with that in reality.
By summarizing, managing and analyzing the real-time business data of different specialties, the system provides all information in the real scene.
The management Digitalization of business processes and forms such as routine business, report analysis and intelligent patrol inspection realizes closed-loop management, ensuring business safety and control.
Five centers of dispatching command, safe production, centralized control, intelligent patrol inspection and operation management are established to provide data service for production and operation.
The system binds the business scenario data such as mine geographical factors, downhole environment information, production operation status, equipment operating parameters, emergency facilities and materials with the actual 3D production scenario, integrates and presents all relevant information of production and operation, restores the essence of the matter, to facilitate the quick acquisition of information.
The existing personnel positioning system, auxiliary transportation system and main coal flow monitoring system of the enterprise are integrated to realize the integration of business and data using big data technology, to reflect the change trend of downhole personnel and vehicles in real time, the change situation of coal level in bunker and other information, and to comprehensively display the production and operation situation of the mine shaft.
The visual monitoring and early warning platform is constructed to connect real-time monitoring data and historical data of goaf temperature monitoring, mine pressure monitoring, safety monitoring, realizing high temperature early warning of goaf, periodic roof weighting warning and abnormal monitoring and warning mechanism of harmful gas, and supporting exception alarm management.
The operating parameters of downhole equipment are monitored in real time, to analyze the health condition of downhole equipment with big data technology. Through the integration of the existing operation and maintenance information of the enterprise are integrated to present the information concerned by the decision-maker such as equipment failure shutdown rate, working face equipment KPI value and completion of maintenance plan.
The patrol inspection route is preset with modern technology, to automatically transmit equipment detection value. 5G communication, radio frequency identification and other technologies are adopted to ensure that patrol personnel are in place. Work order will be triggered automatically when found by patrol inspection, and workflow is built, to realize the closed-loop process management of the discovery, identification, tracking, governance of hidden dangers.
The association relationship between operation management and downhole production data is built to make full use of the enterprise resources, to satisfy the needs of downhole production to the limit, to refine the management of the production energy consumption and material consumption of the region or even certain equipment, and to maximize the effective utilization of energy and materials.
The digital twin platform realistically reproduces the objective spatial structure of Tashan coal mine, including surface facilities, landscape, shaft and roadway engineering, ore body and surrounding rock. With the multi-source data integration technology, various real-time data of monitoring, production, equipment, personnel, management are integrated to develop a 3D integrated management and control mode of production and emergency, which improves the production and operation efficiency and control ability of the enterprise. Meanwhile, the platform can realize disaster simulation deduction and emergency disposal prompt module, providing timely, comprehensive and accurate information support for emergency response and quick decision-making, thus improving the informatization construction level of the enterprise.