针对深部开采采空区覆岩卸压瓦斯精准抽采的关键基础问题，项目拟通过理论分析、实验室测试、物理模拟、数值仿真及现场试验的五位一体方式进行研究。深入分析煤的孔隙特征、解吸、放散与渗流特性，研究采动条件下瓦斯解吸运移时空效应及规律，建立卸压瓦斯解吸储运动态过程精确预测模型。通过自主研发的集高频声发射、高精微震监测系统的煤与瓦斯共采多物理场耦合实验平台，研究卸压瓦斯储运富集区时空演化规律及精准判识方法。运用压缩感知理论的随钻测孔数据信息累计传输算法，研发长距离定向钻孔智能导向系统，并采用PLC智能逻辑控制方法，研发瓦斯抽采钻孔智能密封系统，实现长距离定向抽采精准钻进-智能密封一体化。应用数理方法，构建卸压瓦斯抽采效果评判指标体系，通过深度学习方法，建立瓦斯抽采智能评判调控模型，结合算法封装与硬件集成手段，研发基于云计算平台的瓦斯抽采与钻孔密封智能调控系统。以期为卸压瓦斯抽采工程设计提供基础理论依据。

In view of basic and key problem of accurate extraction of pressure relief gas in overlying strata of mined-out area under deep mining, the project applies the method of five in one consisted of theoretical analysis, experiment test, physical simulation, numerical calculation simulation and field investigation to conduct research. The pore characteristic parameters, desorption, emission and seepage features of coal is deeply analyzed, the time-space effect and laws of gas desorption migration under the condition of mining is studied, accurate prediction model in the dynamic process of desorption, storage and transportation of pressure relief gas is established. Through independent research and development experiment platform of coal and gas simultaneous extraction under multi-physical field coupling, with high frequency acoustic emission and high subtle vibration monitoring system, the space-time evolution regularity and accurate recognition method of storage and transportation enrichment region of pressure relief gas is researched. Using information accumulated transmission algorithm with measurement data of drill hole of compressed sensing theory, intelligent guidance system of long-distance directional drilling is researched and developed, and the PLC intelligent logic control method is used to research and develop the accurate drilling and intelligent sealing system of gas drainage borehole, the integration of long-distance directional extraction drill hole and smart seal will be achieved. Application of mathematical method, the effect evaluation index system of pressure relief gas extraction, through the deep learning method, intelligent evaluation and regulation model of gas extraction is established, combining with algorithms encapsulation and hardware integration, intelligent control system gas extraction and borehole sealing based on cloud computing platform is developed. In order to provide basic theoretical basis for engineering design of pressure relief gas extraction.