煤矿冲击地压和煤与瓦斯突出感知报警方法研究

提出了基于温度的冲击地压和煤与瓦斯突出感知报警方法:使用红外热像仪等监测物体温度,使用甲烷传感器监测环境甲烷浓度;当物体温度高于煤矿井下环境温度和已暴露煤岩温度,并且高于环境温度和已暴露煤岩温度的物体数量较多、体积和面积较大,则判定发生冲击地压、煤与瓦斯突出、矿井火灾或瓦斯和煤尘爆炸事故;进一步判别高温物体温度,若大于设定阈值,则判定发生矿井火灾或瓦斯和煤尘爆炸事故,反之,则判定发生冲击地压或煤与瓦斯突出事故;进一步分析甲烷浓度变化,若甲烷浓度迅速升高,则判定发生煤与瓦斯突出事故,反之,则判定发生冲击地压事故。提出了基于速度的冲击地压和煤与瓦斯突出感知报警方法:使用激光雷达、毫米波雷达、超声波雷达、双目视觉摄像机等监测物体移动速度,使用甲烷传感器监测环境甲烷浓度;当物体移动速度不小于设定阈值时,则判定发生冲击地压、煤与瓦斯突出或瓦斯和煤尘爆炸事故;进一步判别速度异常物体的数量、体积和面积,若速度异常物体的数量较少、体积和面积较小,则判定发生瓦斯和煤尘爆炸事故,若速度异常物体的数量较多、体积和面积较大,则判定发生冲击地压或煤与瓦斯突出事故;进一步分析甲烷浓度变化,若甲烷浓度迅速升高,则判定发生煤与瓦斯突出事故,反之,则判定发生冲击地压事故。提出了多信息融合的冲击地压和煤与瓦斯突出感知报警及灾源判定方法:监测并融合温度、速度、加速度、掩埋深度、声音、气压、风速、风向、粉尘、甲烷浓度、设备状态、微震、地音、应力、红外辐射、电磁辐射、图像等多种信息,感知冲击地压和煤与瓦斯突出;通过不同位置参数变化的幅度、先后时序关系及传感器损坏情况,判定灾源。

Study on the perception and alarm method of coal mine rock burst and coal and gas outburst

The paper puts forward a perception and alarm method of rock burst and coal and gas outburst based on temperature.The infrared thermal imager is used to monitor the temperature of objects,and the methane sensor is used to monitor the concentration of ambient methane.When the temperature of the objects is higher than the ambient temperature of the coal mine and the temperature of the exposed coal rock,and the number,volume and area of objects that are higher than the ambient temperature and the temperature of the exposed coal rock are large,it is determined that rock burst,coal and gas outburst,mine fire or gas and coal dust explosion accidents have occurred.The temperature of the high temperature object is further determine.If it is greater than the set threshold,it is determined that a mine fire or a gas and coal dust explosion accident has occurred.Otherwise,it is determined that a rock burst or a coal and gas outburst accident has occurred.The change of methane concentration is further analyzed.If the methane concentration rises rapidly,it is determined that a coal and gas outburst accident has occurred.Otherwise,it is determined that a rock burst accident has occurred.The paper puts forward a perception and alarm method of rock burst and coal and gas outburst based on velocity.The lidar,millimeter-wave radar,ultrasonic radar,binocular vision camera are used to monitor the moving speed of objects.The methane sensors are applied to monitor the concentration of ambient methane.When the moving speed of the object is not less than the set threshold,it is determined that rock burst,coal and gas outburst or gas and coal dust explosion accident have occurred.The number,volume and area of objects with abnormal velocity is further determined.If the number of objects with abnormal velocity is small,the volume and area are small,it is determined that a gas and coal dust explosion accident has occurred.If the number of objects with abnormal velocity is large,the volume and area are large,it is determined that a rock burst or a coal and gas outburst accident has occurred.The changes of methane concentration are further analyzed.If the methane concentration increases rapidly,it is determined that a coal and gas outburst accident has occurred.Otherwise,it is determined that a rock burst accident has occurred.A multi-information fusion method for perception,alarming and judging disaster source of rock burst and coal and gas outburst is proposed.The method monitors and integrates various information such as temperature,speed,acceleration,burial depth,sound,air pressure,wind speed,wind direction,dust,methane concentration,equipment status,micro-seismic,geosound,stress,infrared radiation,electromagnetic radiation and images so as to monitor the pressure and coal and gas outbursts.The source of the disaster is determined through the magnitude of parameter changes at different locations,the sequence relationship and sensor damage.