基于地理场景的矿区监控选址模型

能够对矿山人、机、环境进行实时测控和数字化建设的智慧矿山平台，可以使整个矿山具有自我分析和决策的能力，实现矿山生产管理过程中的可视化、自动化、智能化以及无人化，达到高产、高效和安 全的目的。构建地理视频系统是解决智慧矿山平台中安全问题的一种重要手段，针对矿山安全中视频监控设备的选址问题，提出了一种基于地理场景的矿区监控选址模型。该模型首先通过对比分析几种典型语义模型 中的地理实体、地理场景、监控设备、选址原则，从中提取了一组面向监控选址的、可扩充的地理场景语义分类模型。然后将监控候选点群以及监控设备的视域范围作为参数输入基于监控选址的集合覆盖模型，并使 用线性规划方法进行求解。最后以某矿区为例进行试验，证明该模型能够对研究区域进行科学合理的监控设备选址。试验结果表明：候选点分布均匀，且具有一定的规律，说明所提方法能够取代以往的人工筛选方法 ，提高选址效率和准确性，对于不断变化的监控需求和环境要素有较好的应对能力。

Study on Monitoring Site Selection Model of Mining Area Based on Geographical Scene

Intelligent mining platform carries out real-time measurement， control and digitization of mine， human，machine and environment.It can enable the whole mine to have the ability of self-analysis and decision-making，so as to realize the visualization， automation，intelligence and unmanned in the process of mine production management，and achieve the goal of high yield，high efficiency and safety.The construction of geo-video system is an important means to solve the safety problem in the intelligent mining platform.In view of the location problem of geo-video monitoring equipment in the mine safety，this paper proposes a location model of mining monitoring based on geographical scene.Firstly， this model extracts a set of extensible geographic scene semantic classification models for monitoring location by comparing and analyzing four aspects of geographic entities，geographic scenes，and monitoring equipment and location principles in several typical semantic models.Then，the monitoring candidate group and the horizon range of monitoring equipment are input as parameters into the set coverage model based on monitoring location selection，and the linear programming method is used to solve the problem.Finally，the test results of a mining area proves that the model can scientifically and reasonably locate monitoring equipment in the study area.The experimental results show that the candidate points are evenly distributed and have certain regularity.This proofs that the method can replace the previous manual screening methods，improve the efficiency and accuracy of site selection，and has a better stress capability for the ever-changing monitoring requirements and environmental elements.