The present invention relates to an integrated raise caving mining method for mining deposits in rock mass comprising: developing at least one raise (102,102a-f,202,302a-g,402a-e) in the rock mass (10), developing a drawbell (100,100a-c, 200a-g,300a-f,400a-e) in the rock mass (10), wherein at least a portion of the drawbell is excavated from the at least one raise (102,102a-f,202,302a-g,402a-e), initiating caving through undercutting, wherein at least a part of an undercut is created by gradually expanding the drawbell (100,100a-c, 200a-g,300a-f,400a-e) in upwards direction by excavation, developing at least two drawpoints (106,206,406) into the drawbell (100,100a-c, 200a-g,300a-f,400a-e), wherein the drawpoints (106) are developed from drifts (115,207,407) arranged on different levels and progressively drawing fragmented rock (101) from the at least one drawbell through the drawpoints (106,206,406).

A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t).sub.reference; performing linear regression on the reference gas flow Q(t).sub.reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t).sub.prediction; performing linear regression on the predicted gas flow Q(t).sub.prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

A prediction method for coal and gas outburst based on comparing borehole gas flow curves includes the following steps: constructing a seam-crossing borehole in the coal seam, measuring or calculating gas flow corresponding to critical gas pressure P, which is a reference gas flow Q(t).sub.reference; performing linear regression on the reference gas flow Q(t).sub.reference to form a reference flow curve; constructing a predicted seam-crossing borehole in a predicted area, and directly testing a gas flow at each time t in a delayed manner, which is a predicted gas flow Q(t).sub.prediction; performing linear regression on the predicted gas flow Q(t).sub.prediction to form a predicted flow curve; and judging whether the predicted flow curve is above the reference flow curve or whether the predicted flow curve intersects with the reference flow curve, and judging whether the coal seam in the predicted area has a risk of coal and gas outburst.

Disclosed are systems and methods to bore or tunnel through various geologies in an autonomous or substantially autonomous manner including one or more non-contact boring elements that direct energy at the bore face to remove material from the bore face through fracture, spallation, and removal of the material. Systems can automatically execute methods to control a set of boring parameters that affect the flux of energy directed at the bore face. Systems can further automatically execute the methods to: monitor, direct, maintain, and/or adjust a set of boring controls, including for example a standoff distance between the system and the bore face, a temperature of exhaust gases directed at the bore face, a removal rate of material from the bore face, and/or a thermal or topological characterization of the bore face during boring operations.

A tunnel boring machine having a cutting wheel equipped with a number of excavation tools provided with sensor units and, in a corresponding tunnelling method, only substantially fully worn excavation tools are able to be replaced using a data processing device designed with an advancement planning unit by detecting the current state of the excavation tools and predicting the state of the excavation tools on tool replacement predication planes lying in the advancing direction.

Systems and methods for extracting minerals from an underground mineralization zone located below the surface at an oil and gas drilling site. The system includes a vertical drilling means for drilling a vertical bore extending from the surface at the oil and gas drilling site into the mineralization zone, a second horizontal drilling means for drilling at least one horizontal production bore into the mineralization zone. The first horizontal drilling means and the second horizontal drilling means are configured to return material from the mineralization zone to the surface where the mineral content of the material is analyzed and a separator separates minerals, waste and drilling mud from the material. The method includes steps of drilling a horizontal assessment bore, analyzing assessment material for a desired mineral, drilling a horizontal production bore, producing production material containing the desired mineral, and separating the desired material from waste and drilling mud.

A method for quickly optimizing key mining parameters of an outburst coal seam as provided includes steps of constructing a graphic basic information model of the coal mine, giving coal mine characteristic information, performing mining simulation, constructing a CNN-LSTM predicating model, obtaining changes under different mining conditions, constructing a Lorenz chaotic primer, and the like. The model can be improved with continuous breakthroughs in theory, so that the model has a strong learning ability and can adapt to the constantly changing complex geological environment. The method has very good predictability for the determination of coal seam group parameters, and can efficiently select and output a set of candidate parameters.

A method for quickly optimizing key mining parameters of an outburst coal seam as provided includes steps of constructing a graphic basic information model of the coal mine, giving coal mine characteristic information, performing mining simulation, constructing a CNN-LSTM predicating model, obtaining changes under different mining conditions, constructing a Lorenz chaotic primer, and the like. The model can be improved with continuous breakthroughs in theory, so that the model has a strong learning ability and can adapt to the constantly changing complex geological environment. The method has very good predictability for the determination of coal seam group parameters, and can efficiently select and output a set of candidate parameters.

A generation system and method for a high-precision three-dimensional navigation map of a fully mechanized mining surface, applicable to use in the technical field of unmanned mining. The generation system comprises a channel wave seismometer, a laser radar, a combined navigation device, a ground penetrating radar, and a data processing unit; the data processing unit acquires data collected by sensors; perform coordinate conversion, feature fusion and consistency processing on the collected data to generate a Delaunay triangle network of a coal seam, a fault/fold, and a roadway; draw a high-precision profile map of the triangle map, calculate a topological relation of the profile map, generate a topological data structure of the profile map, establish a navigation information automatic query database platform based on the high-precision profile map, and construct the high-precision three-dimensional navigation map of the fully mechanized mining surface. The high-precision three-dimensional navigation map generated by the present invention can provide accurate thickness information of the coal seam, a varied dip angle of the coal seam and a position of a dangerous geological structure space to fully mechanized mining equipment, and has functions such as high-precision positioning, information sensing, and path planning.

A generation system and method for a high-precision three-dimensional navigation map of a fully mechanized mining surface, applicable to use in the technical field of unmanned mining. The generation system comprises a channel wave seismometer, a laser radar, a combined navigation device, a ground penetrating radar, and a data processing unit; the data processing unit acquires data collected by sensors; perform coordinate conversion, feature fusion and consistency processing on the collected data to generate a Delaunay triangle network of a coal seam, a fault/fold, and a roadway; draw a high-precision profile map of the triangle map, calculate a topological relation of the profile map, generate a topological data structure of the profile map, establish a navigation information automatic query database platform based on the high-precision profile map, and construct the high-precision three-dimensional navigation map of the fully mechanized mining surface. The high-precision three-dimensional navigation map generated by the present invention can provide accurate thickness information of the coal seam, a varied dip angle of the coal seam and a position of a dangerous geological structure space to fully mechanized mining equipment, and has functions such as high-precision positioning, information sensing, and path planning.