支架大数据与围岩关系模型在自动化工作面的研究与应用

Study and Application of of the Relationship Model between Support Big Data and Surrounding Rock in Automatic Working Face

依托于煤矿装备水平和开采技术的不断进步,初步实现了综采工作面生产过程的自动化、少人化及矿井信息系统的集成[1]。然而应用了自动化的工作面却无法做到高产高效,效率问题成为阻碍自动化发展的关键。作者突破传统思维模式,借鉴音轨制作技术,通过自动化采集和积累大量人工操作下支架与围岩变化的数据,使用专业软件分析,建立支架大数据与围岩环境关系的动作轨迹模型,通过设置自动化的参数实现支架的快速自动移架功能。该方法将复杂的人工快速移架与围岩关系转化为支架动作轨迹模型,对王国法院士提出的“复杂围岩环境-开采系统作用机理及设备群全程路径和姿态智能控制[2]”的理论进行初步尝试,为自动化工作面快速移架和支架与围岩环境变化关系探索了一条可行的道路。

Relying on the continuous progress of coal mine equipment level and mining technology,the integration of automation,less personnel of production process in fully mechanized mining face and the mine information system are preliminarily realized[1].However,the working face with automation can not achieve high production and high inficiency,and the efficiency problem becomes the key to hinder the development of automation.The author breaks through the traditional thinking mode,draws lessons from the audio track production technology,collects and accumulates a large number of data about the changes of support and surrounding rock under the automatic operation,uses professional software to analyze,establishes the action track model of the relationship between the support big data and surrounding rock environment,and realizes the quick and fast moving system function of support by setting the automatic parameters.In this method,the complex relationship between the artificial fast moving system and the surrounding rock is transformed into the model of the movement track of the support,and the theory of“complex surrounding rock environment-mining system function mechanism and the whole path of the equipment group and posture intelligent control[2]”proposed by Academician Wang Guofa is preliminarily tried,which provides a feasible way for the fast moving system of the automatic working face and the relationship between the support and the surrounding rock environment change.