A travelling-type tunnel hard-rock micro-damage cutting equipment and a construction method associated therewith are provided. The cutting equipment includes: a crawler-type trolley; and a hard-rock drilling construction apparatus, a hard-rock cutting construction apparatus, a self-unloading tipping bucket and a visual operation terminal all arranged on the crawler-type trolley. The hard-rock cutting construction apparatus includes: a cutting manipulation room, a rock-breaking power arm, and a hard-rock cutting device including a hydraulic steel robs, a signal sensor, an infrared lens and a light source assembly. The infrared lens and the light source assembly are arranged at the front end of the hard-rock cutting device, and a working image can be transmitted to the visual operation terminal through the signal sensor. The cutting equipment can accurately and efficiently cut a rock mass, and the cut rock mass can be reused according to secondary processing conditions of rock to improve economic benefits.

An impact panel for protecting mining equipment may include a plurality of ceramic tiles affixed to a base plate. The impact panel may further include at least one fixing hole disposed within the plurality of ceramic tiles and the base plate with a metal frame disposed around an outer peripheral edge of the plurality of ceramic tiles that is also affixed to the base plate. The impact panel may have at least one plug disposed inside the at least one fixing hole to seamlessly cover the at least one fixing hole. The panels may also be wired with sensors that will communicate with process control circuits allowing data collection on remote process and remote mining equipment

An impact panel for protecting mining equipment may include a plurality of ceramic tiles affixed to a base plate. The impact panel may further include at least one fixing hole disposed within the plurality of ceramic tiles and the base plate with a metal frame disposed around an outer peripheral edge of the plurality of ceramic tiles that is also affixed to the base plate. The impact panel may have at least one plug disposed inside the at least one fixing hole to seamlessly cover the at least one fixing hole. The panels may also be wired with sensors that will communicate with process control circuits allowing data collection on remote process and remote mining equipment

An inclined shaft continuous feeding system for solid backfilling materials includes a surface loading system, an inclined shaft transportation system, and a downhole unloading system. The inclined shaft transportation system is arranged between the surface loading system and the underground unloading system. The inclined shaft transportation system includes a bottom unloading dumper, support guide wheels, a guide rail, a drive wheel, a reverse wheel, and a traction steel wire rope configured between the drive wheel and the reverse wheel. The present invention can realize a steady, continuous and efficient transportation of the solid backfilling materials from the surface to down hole. Moreover, the material transportation system does not wear easily, has long service life and low material transportation cost.

The invention discloses a method for detecting service performance of a tunnel lining based on defect characteristics of the tunnel lining. A tunnel, an external load and stratum conditions are simulated by establishing a model using a model test method. A structural stress failure test for the model is carried out, and test results of the defect characteristics of a simulation lining of the model are recorded. A corresponding relationship between the defect characteristics of the simulation lining and the remaining bearing capacity interval is established according to the recorded test results. Detection results of defect characteristics of the tunnel lining are recorded using an in-situ detection method, and a remaining bearing capacity interval of the tunnel lining is determined based on the detection results according to the corresponding relationship between the defect characteristics of the simulation lining and the remaining bearing capacity interval of the model.

The invention discloses a method for detecting service performance of a tunnel lining based on defect characteristics of the tunnel lining. A tunnel, an external load and stratum conditions are simulated by establishing a model using a model test method. A structural stress failure test for the model is carried out, and test results of the defect characteristics of a simulation lining of the model are recorded. A corresponding relationship between the defect characteristics of the simulation lining and the remaining bearing capacity interval is established according to the recorded test results. Detection results of defect characteristics of the tunnel lining are recorded using an in-situ detection method, and a remaining bearing capacity interval of the tunnel lining is determined based on the detection results according to the corresponding relationship between the defect characteristics of the simulation lining and the remaining bearing capacity interval of the model.

Disclosed is a system and a method for monitoring water inrush, including: a host terminal, a field host, at least one controller and at least one electrode array. Each electrode array is placed in one borehole and to detect electric field signals of surrounding rocks around the borehole; each controller connects with one electrode array and is to control the electrode array to carry out a high-density induced polarization measurement on the surrounding rocks; the field host connects with the controller and is to send control signals to the controller, receive and process the electric field signals output by the electrode array; and the host terminal connects with the field host and is to receive the electric field signals processed by the field host, determine changes on apparent resistivity and apparent chargeability of the surrounding rocks, and determine whether there exists water inrush according to the changes.

Disclosed is a system and a method for monitoring water inrush, including: a host terminal, a field host, at least one controller and at least one electrode array. Each electrode array is placed in one borehole and to detect electric field signals of surrounding rocks around the borehole; each controller connects with one electrode array and is to control the electrode array to carry out a high-density induced polarization measurement on the surrounding rocks; the field host connects with the controller and is to send control signals to the controller, receive and process the electric field signals output by the electrode array; and the host terminal connects with the field host and is to receive the electric field signals processed by the field host, determine changes on apparent resistivity and apparent chargeability of the surrounding rocks, and determine whether there exists water inrush according to the changes.

Provided is a control method for preventing an accident in a tunnel. In this instance, the control method for preventing an accident in a tunnel includes estimating water amount information flowing into the tunnel based on at least one input information, determining whether it is an emergency situation based on the estimated water amount information, and when the emergency situation is determined, transmitting a warning message to an identification device, and controlling a device for opening and closing an entrance/exit of the tunnel. In this instance, the water amount information flowing into the tunnel is estimated through a deep learning based learning model, and the emergency situation is determined by comparing water level information of the tunnel with a threshold value.

Provided is a control method for preventing an accident in a tunnel. In this instance, the control method for preventing an accident in a tunnel includes estimating water amount information flowing into the tunnel based on at least one input information, determining whether it is an emergency situation based on the estimated water amount information, and when the emergency situation is determined, transmitting a warning message to an identification device, and controlling a device for opening and closing an entrance/exit of the tunnel. In this instance, the water amount information flowing into the tunnel is estimated through a deep learning based learning model, and the emergency situation is determined by comparing water level information of the tunnel with a threshold value.