煤矿无线监控与通信是矿井复杂现场中自动化、机械化生产和灾害救援的重要保障手段。巷道复杂环境对网络结构、能耗设计、检测监控的效率与可靠性有重要影响，本课题以煤矿巷道为对象，与太原科技大学合作研究：①巷道复杂环境及其受限空间维度非对称规律描述方法，建模和求解无线节点动态优选方法，作为图像监控与无线通信的支撑技术。②分析监控场景特征与监控对象预测方法，建立基于监控图像分析和通信优化的局部区域虚拟化机制，研究当前区域网络数据分析知识迁移到相关的多个协作区域网络的规律。③在目标预测、网络资源评价和多区域网络协作的基础上，分析多尺度无线监控与通信网络组网方法。本研究在监控内容分析计算量与通信能耗控制方面将有显著突破，解决无线监控覆盖率与能耗之间长期存在的矛盾。本课题研究成果对于提高煤矿复杂多变现场中自动化和机械化生产的支撑水平、快速建立无线安全监控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 system is an important way to ensure the automation and mechanization production and rescue disaster in the coal mine complex scene. A complex environment of laneway has an important influence on network structure, efficiency of communication and monitoring and design of energy consumption. Based on the laneway. Work together with Taiyuan University of Science and Technology, the project mainly studies: (1) Describe a method for the laneway complex environment and the rule of asymmetric dimension in its limited space. So, we can model and solve dynamic optimization method for the wireless node which is a key and support technology for video surveillance and wireless communication. (2) We analyze the characteristic of the monitoring scenario and forecast method, and build the local area virtualization mechanisms based on monitoring image analysis and optimization of communication, and study rule about how to transfer the current knowledge on analyzing area network data to relevant multiple collaboration area network. (3) On the basis of target forecasting, network resources evaluating and multi-area collaboration, we try to analyze networking method for multi-scale wireless monitoring and communication network. This study has a significant breakthrough on computation of monitoring content analysis and control of communication energy consumption. Besides, this study tries to solve the long-standing contradiction between wireless monitoring coverage rate and energy consumption. The results of this research have very important practical application value and scientific sense on support level of coal mine automation and mechanization production, quickly establishing a wireless security monitoring and emergency communications network for disaster rescue in coal mine complex scene.