A method for monitoring resilience of a shield tunnel based on multi-source heterogeneous data is provided, including following steps: collecting the multi-source heterogeneous data and processing computer data, where the collecting the multi-source heterogeneous data includes: collecting a tunnel displacement u, a tunnel cross section convergence ?D and a tunnel damage area S; and the processing computer data includes: S1, performing data preprocessing; S2, performing data processing, where the multi-source heterogeneous data preprocessed in step S1 is processed to calculate a tunnel performance indicator P and a tunnel resilience indicator Re; S3, determining tunnel status; S4, performing manual argumentation; S5, giving a remediation measure according to the status of the resilience of the tunnel in step S4; S6, storing and archiving processed data; and S7, performing terminal outputting, where the data obtained in step S6 is displayed and output through a plurality of terminals.

A hanging wall movement detection apparatus includes a rigid elongate member which extends between a first end and a second end, an indicator module which produces a warning signal when actuated, axially movably engaged with the elongate member, a ground engaging support which rigidly supports the indicator module off the ground, an actuator engaged with the elongate member between the first end and the indicator module, a biasing separator between the actuator and the indicator module. The actuator is drawn towards the indicator module, compressing the biasing separator, when the elongate member experiences a pulling force at the second end in an axial direction away from the indicator module, and the actuator contacts the indicator module to actuate the module to produce a warning signal if the pulling force is of a sufficient magnitude to overcome the bias of the biasing separator.

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 system and a method for monitoring overlying roof rock and coal pillar in gob-side entry are provided. The system includes top monitoring stations, coal pillar comprehensive monitoring stations, roof stress monitoring stations, and a master computer. Top monitoring stations are arranged in the crossheading to monitor the working face, coal pillar comprehensive monitoring stations are arranged in the upper roadway of the lower coal seam working face to monitor the coal pillars, and roof stress monitoring stations are arranged in the mining area main roadway to monitor the coal pillars. Monitoring the stress and deformation distribution of coal pillars in the goaf and the movement and failure process of overburden strata structure through the master computer control each monitoring station. The monitoring stations ensure that the overburden strata movement monitoring stations are still in working condition after the goaf is formed by mining in the working face.

A monitoring device and method for monitoring a longwall mining system having a roof support, the roof support including a pressure sensor to determine pressure levels of the roof support during a monitoring cycle. Pressure information is obtained for the roof support. An electronic processor then determines whether the pressure information is indicative of a first type of pressure failure of the roof support and whether the pressure information is indicative of a second type of pressure failure of the roof support. An alert is generated in response to determining that the pressure information is indicative of at least one selected from the group consisting of the first type of pressure failure and the second type of pressure failure.

A coal and gas outburst monitoring device includes the insertion and anchoring assembly, and the pump drainage and monitoring mechanism; the insertion and anchoring assembly is vertically inserted and distributed on the sidewall of surrounding rock of coal mine roadway, and the insertion and anchoring assembly can monitor the stress change data in the sidewall of surrounding rock in real time; the pump drainage and monitoring mechanism is erected within the coal mine roadway, and the pump drainage and monitoring mechanism can cooperate with the insertion and anchoring assembly to perform the gas pump drainage monitoring for the sidewall of surrounding rock of goaf, and to obtain the gas seepage monitoring data in the surface layer and the inner layer of sidewall of surrounding rock. Thus, comparing with the database mechanism, the accurate and advanced predictions for the gas outburst can be made.

A device for monitoring convergence between a first surface and a second surface, for example of a mine ceiling and floor, includes a measuring means having a plurality of measurements. The measuring means is attached to a support extending between and in contact with the first surface and the second surface. An indicator body and a release trigger are adapted for mounting in relation to the measuring means.

The indicator body has one or more warning indicators for providing a visual display upon convergence between the first surface and the second surface. The one or more warning indicators are adapted for display in response to activation of the release trigger.

The invention provides a rock wall closure detection apparatus which includes an elongate member, variably extensible between a first wall and a second wall Of an underground excavation which comprises of a first and a second segment which are resiliently axially compressible relatively to one another when the waits close and an indicator module which produces a warning signal when actuated, attached to the first segment and an actuator attached to the second segment wherein on compression of the member, the actuator moves relatively to the module to actuate the module to produce the warning signal.

A hanging wall movement detection apparatus includes a rigid elongate member which extends between a first end and a second end, an indicator module which produces a warning signal when actuated, axially movably engaged with the elongate member, a ground engaging support which rigidly supports the indicator module off the ground, an actuator engaged with the elongate member between the first end and the indicator module, a biasing separator between the actuator and the indicator module. The actuator is drawn towards the indicator module, compressing the biasing separator, when the elongate member experiences a pulling force at the second end in an axial direction away from the indicator module, and the actuator contacts the indicator module to actuate the module to produce a warning signal if the pulling force is of a sufficient magnitude to overcome the bias of the biasing separator.

A coal and gas outburst monitoring device includes the insertion and anchoring assembly, and the pump drainage and monitoring mechanism; the insertion and anchoring assembly is vertically inserted and distributed on the sidewall of surrounding rock of coal mine roadway, and the insertion and anchoring assembly can monitor the stress change data in the sidewall of surrounding rock in real time; the pump drainage and monitoring mechanism is erected within the coal mine roadway, and the pump drainage and monitoring mechanism can cooperate with the insertion and anchoring assembly to perform the gas pump drainage monitoring for the sidewall of surrounding rock of goaf, and to obtain the gas seepage monitoring data in the surface layer and the inner layer of sidewall of surrounding rock. Thus, comparing with the database mechanism, the accurate and advanced predictions for the gas outburst can be made.