The present invention relates to a warning device for a mining control module for facilitating a replacement. Accordingly, a warning device for a mining control module is suggested, which comprises a housing that is configured to be coupled with an opening provided at an outer surface of the control module, wherein the housing defines an inner cavity, and an alarm module which is arranged in said cavity and is configured to be releasably coupled to an inner control unit of the control module via said opening for receiving a control signal. The housing comprises a first portion that extends along a longitudinal axis and is configured to extend at least in part through the opening and a radially extending second portion that is configured to extend over the outer surface of the control module so as to cover the opening, when the device is coupled to the control module. The device furthermore comprises a fixation means, which is arranged on the second portion and is configured to releasably engage the outer surface of the control module so as to secure the device to the control module.

A method for controlling drilling for rock burst prevention drilling in a coal mine roadway is provided. The method comprises: acquiring rock mechanical parameters of coal mass in surrounding rock of a roadway to be subjected to burst-preventing drilling construction, and calculating a surrounding rock critical softening depth, a critical ground stress and a critical mining peak stress for rock burst initiation in the roadway; calculating a critical mining-induced stress index of the roadway to realize quantification of burst risk; then determining critical conditions for drillhole burst and a quantitative relationship between the critical conditions for drillhole burst and for roadway rock burst initiation; quantitatively determining construction parameters of burst-preventing drillholes according to the surrounding rock critical softening depth, a critical plastic softening zone radius for drillhole burst, and the critical mining-induced stress index; and controlling a drilling machine to operate according to the determined construction parameters.

A mine safety apparatus, and related method, that records movement data of a scene, visual images of the scene and correlates the movement data with the visual images. The apparatus comprises: a slope monitoring device that records location data in the scene and tracks the location data over time to identify movement and produce visual movement overlays; an image capture device that records a plurality of visual images of the scene from a location; and a processor that stitches the visual images into a panoramic image of the entire scene and for selected Points of Interest in the scene accurately determines a coordinate so that the visual movement overlays are correctly correlated with the Points of Interest.

This invention provides a fiber Bragg grating (FBG) monitoring device for dynamic disasters in coal mines. It includes a data acquisition device, which is used to collect the seismic wave signal in coal mines and reflect the possibility of the current coal and gas outburst hazard through the seismic wave signal described; a data processing device, which is used to process the collected data, eliminate the interferential signal and convert the effective signal into the measured physical quantity, and then send it to the display unit or save it; a real-time processor, which is used to achieve the acquisition and processing of real-time data; a display unit, which is used for the process of acquisition, storage, display and historical data query, and the display of residual capacity; a power supply unit, which is used to provide energy for the whole monitoring device.

A safe early warning method and device for full-section tunneling of a tunnel featuring dynamic water and weak surrounding rock, comprising establishing a dynamic coordinate system with an origin thereof moving along a tunnel excavation line, recording the moving distance of the origin, conducting three-dimensional laser scanning with the origin as a center to obtain point cloud data including coordinate data, collecting surrounding rock data; conducting deformation fitting on the point cloud data, calculating a fitting residual error, removing a noisy point, and conducting preprocessing; combining data of preprocessed point cloud, surrounding rock, and the tunnel excavation line to construct a tunnel excavation dynamic model; conducting stress analysis according to the model and determining whether to send out a safety early warning signal. The device comprises a three-dimensional laser scanner, a geological radar device, a displacement module, an industrial computer, a data transmission module, an alarm, and a server.

Provided are methods and products for rapid, reliable, and accurate monitoring and detecting of convergence in mining and civil engineering applications. A sensor, such as a scanning laser device, is moved through a tunnel, either automatically, autonomously, or with manual guidance. The sensor is configured to acquire 3D point clouds of all or a portion of a tunnel, at selected times. The 3D point cloud data is used to compute a set of indicators, which are local descriptors of the environment along the tunnel. The indicators are then amalgamated to estimate the probability that convergence has occurred in a given region. In one embodiment, the indicators are fused together using a Bayes network.

A monitoring device and method for monitoring a longwall mining system having a plurality of roof supports, each roof support including a pressure sensor to determine pressure levels of the roof support during a monitoring cycle. Pressure data is obtained for the plurality of roof supports. The pressure data includes pressure information for each roof support of the plurality of roof supports over a monitoring cycle. The pressure data is analyzed to determine, for each roof support, whether a first type pressure failure occurred during the monitoring cycle. A fault quantity is generated that represents the number of roof supports determined to have had the first type of pressure failure occur during the monitoring cycle. An alert is generated upon determining that the fault quantity exceeds an alert threshold.

A method for real-time strength estimation, grading, and early warning of rock mass in tunnel boring machine (TBM) tunneling, and belongs to the technical field of TBM tunnel construction. The method includes the following steps: establishing a general relation model of equivalent strength R.sub.ec of the TBM boring rock mass and a field penetration index (FPI); and applying the model to TBM boring construction, estimating an integrity coefficient K.sub.v of the TBM boring rock mass in real time according to boring parameters acquired by a TBM in real time, and performing grading and early warning on the TBM boring rock mass according to a given grading standard and early warning values.

A model selection method for a hydraulic support includes: determining a surrounding rock-support mutual feedback equilibrium curve under a first equivalent in-situ stress and a surrounding rock-support mutual feedback equilibrium curve under a second equivalent in-situ stress, according to the first equivalent in-situ stress, the second equivalent in-situ stress, a stress of a fracture zone on a softening zone under the first equivalent in-situ stress, and a stress of the fracture zone on the softening zone under the second equivalent in-situ stress; determining a support strength of a to-be-selected hydraulic support on the surrounding rock and a minimum expansion and contraction quantity required by a movable column according to the equilibrium curves; determining the residual burst energy that needs to be absorbed by the hydraulic support; and determining the hydraulic support matched with roadway. The method quantitatively achieves parameterized model selection of the bursting-preventing hydraulic support of roadway.

A method for real-time strength estimation, grading, and early warning of rock mass in tunnel boring machine (TBM) tunneling, and belongs to the technical field of TBM tunnel construction. The method includes the following steps: establishing a general relation model of equivalent strength R.sub.ec of the TBM boring rock mass and a field penetration index (FPI); and applying the model to TBM boring construction, estimating an integrity coefficient K.sub.v of the TBM boring rock mass in real time according to boring parameters acquired by a TBM in real time, and performing grading and early warning on the TBM boring rock mass according to a given grading standard and early warning values.