煤矿无线监测与通信是矿井复杂环境中自动化生产和灾害救援的重要保障。巷道复杂环境对多无人机群组监测与通信的网络结构、能效设计、监测效率与可靠性有重要影响，本项目研究：①用集合与多元组方法描述煤矿复杂巷道特征，构建通信与数据处理的区域运算方法；结合无人机飞行影响因素，优化飞行路线。②研究基于协作多无人机群组分区域的感知数据时延忍受机会通信与优化方法。③研究多无人机群组的区域覆盖优化方案和面向目标监测与通信任务的多分区虚拟化机制，分析无人机之间目标监测数据关联方法。④研究多无人机群组区域网络之间的有效协作监测和数据通信方法的迁移规律，分析多无人机群组之间和协作感测多区域网络之间数据分析知识迁移方法。本研究在多无人机群组能效与监测效率方面将有显著突破，解决无人机能量受限与能耗的矛盾。研究成果对于提高煤矿复杂环境中自动化生产水平、快速建立无线监测和抢险救灾应急通信网络有重要的实际应用价值和科学意义。

Coal mine wireless monitoring and communication is an important insurance method for automatic production and disaster rescue in coal mine complex environment. The complex environment has great influence on multiple unmanned aerial vehicles group monitoring and communication network structure, energy efficiency design, monitoring efficiency and reliability. Our research proposal is focus on the following. (1) The coal mine complex tunnel’s characteristic will be described by set theory and multi-component system. The area operation scheme for communication and data processing will be modeled. The flight path of unmanned aerial vehicles will be optimized with the influencing factors. (2) Time delay tolerant opportunistic communication and optimization method for sensing data based on cooperative multi unmanned aerial vehicles in divided area will be researched. (3) The area coverage optimization scheme for multi unmanned aerial vehicle group and multi area virtualization mechanism for the object monitoring and communication tasks will be explored. We will study the object monitoring data correlating method between unmanned aerial vehicles. (4) The transfer law between the unmanned aerial vehicle group for area network effective collaboration monitoring and data communication method will be researched. We will analyze the transfer method not only between multi unmanned aerial vehicles but also between multi area networks for collaboration monitoring. In this study, there will be a significant breakthrough in the energy consumption and monitoring efficiency for multi unmanned aerial vehicles, which can solve the contradiction between energy limitation and energy consumption for each task. The research results expect to have important practical application value and scientific significance on improving the automatic production level ,establishing the wireless monitoring and emergency rescue of communication network in coal mine complex environment.