A multipoint coal and rock mass stress real-time monitoring device. The device is composed of a plurality of capsule pressure sensors (1), connection rods (2), three-way valves (3), a multichannel monitor (4), a multichannel control valve (5), first high-pressure oil pipes (6), second high-pressure oil pipes (7), third high-pressure oil pipes (8), a four high-pressure oil pipe (9), a high-pressure oil pump (10) and monitoring substations (11). The present invention also relates to a multipoint coal and rock mass stress real-time monitoring method. Oil is injected into each capsule pressure sensor (1) that is arranged in a drilled hole through the multi-channel control valve (5), so that oil pressure inside each capsule pressure sensor (1) reaches the preset pressure, and the capsule pressure sensors and the coal and rock mass are well coupled; monitoring signals are synchronously collected, converted, stored and displayed by the multichannel monitor (4) or are transferred to a remote monitoring center through the monitoring substations (11). The device and method can be used for coal and rock dynamic disaster monitoring early warning such as coal and rock mass stress monitoring, mine pressure analysis, rock burst and coal and gas rush, and the stress and changes of the stress of multiple measuring points can be measured at the same time in the multiple drilled holes of the coal and rock mass.

A multipoint coal and rock mass stress real-time monitoring device. The device is composed of a plurality of capsule pressure sensors (1), connection rods (2), three-way valves (3), a multichannel monitor (4), a multichannel control valve (5), first high-pressure oil pipes (6), second high-pressure oil pipes (7), third high-pressure oil pipes (8), a four high-pressure oil pipe (9), a high-pressure oil pump (10) and monitoring substations (11). The present invention also relates to a multipoint coal and rock mass stress real-time monitoring method. Oil is injected into each capsule pressure sensor (1) that is arranged in a drilled hole through the multi-channel control valve (5), so that oil pressure inside each capsule pressure sensor (1) reaches the preset pressure, and the capsule pressure sensors and the coal and rock mass are well coupled; monitoring signals are synchronously collected, converted, stored and displayed by the multichannel monitor (4) or are transferred to a remote monitoring center through the monitoring substations (11). The device and method can be used for coal and rock dynamic disaster monitoring early warning such as coal and rock mass stress monitoring, mine pressure analysis, rock burst and coal and gas rush, and the stress and changes of the stress of multiple measuring points can be measured at the same time in the multiple drilled holes of the coal and rock mass.

The present disclosure provides a machine (100) for surface mining or road milling. The machine (100) is arranged to remove material from a ground region (102) while moving along the ground region (102) and comprises a ground engager for removing a portion of the material from the ground region (102). The machine (100) further comprises a detecting system (110) that has at least one detector element coupled to a component of the machine (100) to move with the machine (100) and arranged to detect at least one quantity associated with an electrical property of the ground region (102). The detecting system (110) is arranged to provide composition information concerning a composition of at least one material layer in the ground region (102) and thickness information concerning a thickness of at least one material layer (102a,b,c,d). The detected at least one quantity associated with the electrical property is used to provide at least one of the composition information and the thickness information.

The present disclosure provides a machine (100) for surface mining or road milling. The machine (100) is arranged to remove material from a ground region (102) while moving along the ground region (102) and comprises a ground engager for removing a portion of the material from the ground region (102). The machine (100) further comprises a detecting system (110) that has at least one detector element coupled to a component of the machine (100) to move with the machine (100) and arranged to detect at least one quantity associated with an electrical property of the ground region (102). The detecting system (110) is arranged to provide composition information concerning a composition of at least one material layer in the ground region (102) and thickness information concerning a thickness of at least one material layer (102a,b,c,d). The detected at least one quantity associated with the electrical property is used to provide at least one of the composition information and the thickness information.

An arrangement and method of utilizing rock drilling information in a mine whereby drill holes are drilled in a surrounding rock material by a first mining vehicle. During drilling measuring data is produced and is inputted to a monitoring device for analyzing procedures. The monitoring device produces rock condition data of the rock material being drilled. The produced rock condition data is then implemented in a second mining vehicle.

An arrangement and method of utilizing rock drilling information in a mine whereby drill holes are drilled in a surrounding rock material by a first mining vehicle. During drilling measuring data is produced and is inputted to a monitoring device for analyzing procedures. The monitoring device produces rock condition data of the rock material being drilled. The produced rock condition data is then implemented in a second mining vehicle.

Described herein is a method and system for characterizing in-ground rock types from measurement-while-drilling data in a mining environment. The method includes the steps of drilling holes at a plurality of selected locations within a region of interest; collecting measurements while drilling to obtain an array of data samples (162) indicative of rock hardness at various drilling depths in the drill hole locations; obtaining a characteristic measure (163) of the array of data samples; performing Gaussian Process regression (164) on the characteristic measure; and applying boundary detection (166) to the rock hardness output data obtained from the Gaussian process model to identify the distribution (280) of at least one cluster of rock type within the region of interest.

Described herein is a method and system for characterizing in-ground rock types from measurement-while-drilling data in a mining environment. The method includes the steps of drilling holes at a plurality of selected locations within a region of interest; collecting measurements while drilling to obtain an array of data samples (162) indicative of rock hardness at various drilling depths in the drill hole locations; obtaining a characteristic measure (163) of the array of data samples; performing Gaussian Process regression (164) on the characteristic measure; and applying boundary detection (166) to the rock hardness output data obtained from the Gaussian process model to identify the distribution (280) of at least one cluster of rock type within the region of interest.

A process for improved blast design including the steps of: acquiring geological data about a blast site from multiple data sources; extracting one or more blastability labels from the geological data; mapping the blastability labels in two or three dimensions; designing a pattern of blast holes based on the mapping; designing explosive for each blast hole based on the blastability label for that blast hole; loading each blast hole in the pattern of blast holes with the designed explosive for that blast hole; and detonating the explosive. Also, a method of extracting valuable resources from an area using the process and a visualisation tool for blasting operations that displays data from the process.

A process for improved blast design including the steps of: acquiring geological data about a blast site from multiple data sources; extracting one or more blastability labels from the geological data; mapping the blastability labels in two or three dimensions; designing a pattern of blast holes based on the mapping; designing explosive for each blast hole based on the blastability label for that blast hole; loading each blast hole in the pattern of blast holes with the designed explosive for that blast hole; and detonating the explosive. Also, a method of extracting valuable resources from an area using the process and a visualisation tool for blasting operations that displays data from the process.