Global dynamic collaborative management and control of diversified business in coal mines driven by digital twins

As a typical complex production system with multi business collaboration, coal mines face problems such as poor collaboration and linkage in safety, production, and operation under the dynamic sales demand and uncertain production environment. Digital twin technology can provide technical support for achieving data fusion, collaborative control, and intelligent linkage in the global business system of coal mines. This article analyzes the integration and collaborative control of diversified businesses in coal mines from two aspects: internal integration of professional businesses and integration between professional businesses. The internal integration of professional businesses includes three parts: safety monitoring business integration, production collaboration business integration, and operational business integration. We have constructed a business dynamic collaborative management and control architecture based on digital twins. It includes a physical object perception layer, a virtual space simulation layer, and a collaborative management and control decision-making layer. A triple-driven dynamic collaborative control model for the coal mine global business has been proposed. It includes "proactive static planning of decision algorithms, predictive collaborative control of twin models, and real-time data dynamics collaborative control". In the twin world, the multi-business virtual model for coal mine "safety - production - operation" is constructed. The proactive static planning for safety assurance, production linkage, and business management is carried out to formulate the optimal initial work plan for business collaborative control. The numerical simulation method is used to achieve the predictive operation of virtual models in the information world. After the effectiveness of control measures is verified, decision instructions are promptly issued to the physical world. Therefore, the disturbances from passive processing after the event are transformed into active control before the event, improving the effectiveness of control decisions. When there are unforeseen disturbances in the twin world during the operation of coal mining enterprises' business, based on real-time monitoring data, decision algorithms are used to determine the level of disturbance events. The corresponding emergency plans are triggered. The dynamic collaborative management and control of the diversified business of the enterprise are achieved.