Global dynamic collaborative management and control of diversified business in coal mines driven by digital twins
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摘要: 煤矿作为典型的多业务协同的复杂生产系统，在动态化销量需求及不确定性生产环境的作用下，存在安全、生产、经营等业务协同性和联动性较差等问题。数字孪生技术可为实现煤矿全局业务系统数据融合、协同管控和智能联动提供技术保障。从专业业务内部的融合、专业业务之间的融合2个方面分析了煤矿多元业务的融合及协同管控，其中专业业务内部的融合包括安全监测类业务融合、生产协同类业务融合、经营类业务融合3个部分。构建了基于数字孪生的业务动态协同管控架构，该架构包括物理对象感知层、虚拟空间仿真层、协同管控决策层。提出了“决策算法前摄性静态规划+孪生模型预测性协同管控+实时数据动态性协同管控”三重驱动的煤矿全局业务动态协同管控模式：在孪生世界构建煤矿“安全−生产−经营”多元业务虚拟模型，进行安全保障、生产联动、经营管理等前摄性静态规划，制订最优的业务协同管控初始工作计划；采用数值仿真模拟方式，在信息世界中实现虚拟模型的预测性运行，当管控措施效果得到验证后，及时将决策指令下发到物理世界中，从而将扰动由事件发生后的被动处理变成事件发生前的主动管控，提升管控决策的有效性；当煤矿企业业务运行过程中出现孪生世界未预测到的扰动时，根据实时监测数据，借助决策算法判断扰动事件等级，触发对应应急预案，实现企业多元业务的动态性协同管控。Abstract: 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.
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图 4 “安全−生产−经营”全局业务协同管控
Figure 4. "Safety-production-operation" global business collaboration control
图 5 基于数字孪生的“安全−生产−经营”协同管控服务架构
Figure 5. "Safety-production-operation" collaborative control service framework based on digital twins
图 6 数字孪生驱动的煤矿多元业务全局动态协同管控模式
Figure 6. Digital twin driven global dynamic collaborative management and control model for diversified business in coal mines
表 1 影响因素等级划分
Table 1. Classification of different factors
等级 影响
程度Ideg影响
范围Isco影响
时长Iper可恢复
程度IrecⅠ级 影响很小 单一子系统 很短 容易恢复 Ⅱ级 影响较小 业务单元 较短 不容易恢复 Ⅲ级 影响很大 业务群 较长 难以恢复 Ⅳ级 影响严重 煤矿整体 很长 无法恢复 
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