基于透明地质模型的端面距监测及智能控制

Tip to face distance monitoring and intelligent control based on transparent geological model

在煤炭综采过程中,煤层的分布状态、工作面底板的水平度以及三机的运行姿态对端面距的大小都有着很大的影响,而端面距的大小需控制在合理的安全范围内。陕西黄陵二号煤矿煤层厚度为3.0~5.8 m,且存在一定倾角,对于液压支架与煤壁之间的端面距的维稳缺乏精准的监测功能以及自动化控制手段,因此仍需大量的井下维护人员频繁控制干预。为保证煤炭开采的连续性以及高效性,研发了一种基于数字化透明地质模型的端面距监测及控制系统。该系统是传统端面距监测技术的智能化延伸,主要包括支撑平台、增强感知、基线模板、控制预测4大部分。在大数据智能分析决策平台的基础上,结合透明地质模型数据,形成了端面距监测—预测—控制的新型工作模式。通过在黄陵二号煤矿进行的工业试验,验证了该工作模式达到了减员增效的改造目的,创造了一定的经济和社会价值,对保障综采工作面人员设备安全、高效生产具有重要意义。

In the process of fully mechanized coal mining,the distribution state of coal seam,the levelness of working face floor and the running posture of the three machines have great influence on the tip to face distance,so the size of tip to face distance should be controlled within a reasonable safety range.The thickness of coal seam at 303 working face of Shaanxi Huangling No.2 Coal Mine is 3.0~5.8 m with a certain dip angle.In terms of the stability maintenance of the tip to face distance between hydraulic support and coal wall,accurate monitoring function and automatic control means are inadequate,thus a large number of underground maintenance personnel are still needed to frequently control and intervene.We develop a tip to face distance monitoring and control system based on a digital transparent geological model.The system mainly includes four parts:support platform,enhanced perception,baseline template and control prediction.On the basis of big data intelligent analysis and decision platform,combined with transparent geological model data,a new working mode of tip to face distance monitoring-prediction-control is formed.The industrial test is carried out at the 303 working face of Huangling No.2 well,which achieves the purpose of reducing manpower and improving efficiency,and creates certain economic and social value.The system is the intelligent extension of the traditional tip to face distance monitoring technology with great significance to ensure the safety of personnel and equipment and and efficient production in fully mechanized mining face.