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解决依据现行煤矿安全规程及相关规范布置的瓦斯监测点存在空间分布不均的问题.提出兼顾监测覆盖范围和瓦斯安全关注点的瓦斯传感器布置方式;以节点间风流流经时间为监测等级,依据相关规程规范布置的监测点为必选布置点,以风网节点为增设瓦斯传感器的备选布置点,借助图论和集合覆盖理论建立了监测点优化选址模型;运用蚁群算法对模型进行优化求解,设计了针对问题特性的启发信息策略和当前解集及禁忌表的初始值;将模型应用于某实际矿井风网算例,得到不同监测有效级下需增设的监测点数量和位置等信息.研究结果表明:蚁群算法快速优化求解到的布点方案更符合工程实际情况.
Solve the problem of uneven spatial distribution of gas monitoring points arranged according to the current coal mine safety regulations and relevant codes, and put forward the arrangement of gas sensors that takes into account the monitoring coverage and the safety concerns of gas. The flow passing time between nodes is the monitoring level, The monitoring points laid out according to the rules and regulations of the relevant regulations are the necessary arrangement points, and the wind grid nodes are the alternative arrangement points for adding gas sensors. Based on graph theory and set covering theory, the optimal site selection model for monitoring points is established. The ant colony algorithm The optimal solutions are designed and the heuristic information strategies and the initial values of the tabu list and the current solutions are designed. The model is applied to an actual mine wind network example to obtain the number and location of monitoring points to be added under different monitoring effective levels Information.The research results show that the ant colony optimization algorithm can quickly solve the layout of the project more in line with the actual situation of the project.