A wear prognosis method and a maintenance method for an earth working machine are disclosed, along with an apparatus for performing the method. Provision is made that the current wear state of one or more earth working tools is sensed. The residual wear capacity until the wear limit is reached is then ascertained from the current wear state.

A rock-piercing flexible rock drilling robot and a rock breaking method therefor are disclosed. The robot includes a control system, a head, and at least one tail. The head includes a head housing, a propulsion turntable, a drilling mechanism, a hydraulic propulsion system, a first driving mechanism, and a second driving mechanism. The propulsion turntable includes a drill bit located at a center thereof and a cutting turntable arranged around the drill bit. The first driving mechanism is connected to the drill bit, and the second driving mechanism is connected to the cutting turntable. The tail includes a tail housing, an advancing and retreating power system, and a fixed support system. The head and the tail are connected through a flexible component, and the tails are connected through flexible components.

A cutter head includes a first member, a cutting bit, and a second member. The first member includes a first end and a second end and includes a first mass. The cutting bit is coupled to the first member proximate the second end. The cutting bit includes a cutting edge rotatable about the axis. The second member is rotatable about the axis and includes a second mass eccentrically positioned with respect to the axis. Rotation of the second mass causes the first member and the cutting bit to oscillate.

A system for detecting a potential collision between an object and a mining machine, the system comprising: a sensor, a first strobe light and a second strobe light, and an electronic processor configured to identify a virtual perimeter around at least a portion of the mining machine, identify a plurality of collision zones, the plurality of collision zones including at least one immediate collision zone and at least one potential collision zone, receive a signal from a sensor indicating detection of the object in one of the plurality of collision zones, determine, based on the signal, whether the object is in the immediate collision zone or the potential collision zone, generate, in response to determining that the object is in the potential collision zone, a first indication, and generate, in response to determining that the object is in the immediate collision zone, a second indication different than the first indication.

Described herein are technologies for bauxite or kaolin mining operations. A detector is used to detect the presence of a pathfinder element or radioactivity indicating a presence of a rare-earth element. Once the pathfinder element or radioactivity is detected, the mined material is segregated from material mined in which a pathfinder element or radioactivity was not detected. Rare-earth elements are extracted from the segregated material. Once the rare-earth elements are extracted, the material is returned to normal mining operation processing steps.

The invention relates to a milling machine having a replaceable milling drum, different types of milling drums being capable of being associated with the milling machine; and having a control unit for controlling the milling machine, machine parameters of the milling machine being settable by way of the control unit. Provision is made that the milling machine has associated with it at least one means that is designed to detect at least one characteristic feature of the milling drum; that the at least one means is connected to the control unit; and that the control unit is designed to specify for at least one machine parameter, indirectly or directly from the characteristic feature, a value to be set, and/or a setting range. The invention further relates to a corresponding milling drum and to a corresponding method. The milling machine, milling drum, and method allow the selection of machine parameters for operation of the milling machine to be simplified.

A wear indicator is supported on a wear surface of a machine component. The wear indicator includes a first material thickness indicator having a first thickness, a second material thickness indicator positioned adjacent the first material thickness indicator and having a second thickness that is less than the first thickness, and a third material thickness indicator positioned adjacent the first material thickness indicator and the second material thickness indicator and having a third thickness that is less than the second thickness. The wear indicator is configured to visually indicate a material thickness of the wear deck via the first, second, and third material thickness indicators.

This disclosure relates to navigation of an underground mining machine. A laser range finder captures first and second 3D point clouds of first and second overlapping parts of the underground mine from first and second positions of the mining machine respectively. A processor determines a first set of candidates for rock bolts as point feature objects from the first 3D point cloud; determines a second set of candidates for rock bolts as point feature objects from the second 3D point cloud; determines an alignment between first shapes defined by at least two of the first set of candidates for rock bolts and second shapes defined by at least two of the second set of candidates for rock bolts; and determines relative location information between the first position of the mining machine and the second position of the mining machine based on the alignment.

A method for training a coal rock interface recognition model is performed by a cloud server. The method includes receiving a sample coal rock distribution and sample multi-modal data from an edge processor, acquiring a sample load state feature based on the sample vibration data and the sample noise data; acquiring a sample cutting feature of a coal rock interface based on the sample video data. The method further includes acquiring a sample load feature for drum cutting based on the sample current data and the sample pressure data; calling the coal rock interface recognition model, and performing a decision-level fusion based on the sample load state feature; and training the coal rock interface recognition model based on the sample predicted coal rock distribution and the sample coal rock distribution to obtain a target coal rock interface recognition model.

A tunnel tunneling system includes a bolter miner, a bolter-integrated transportation machine, a transfer machine, a self-moving tail and a belt conveyor. The bolter miner includes a rack, a cutting device, a drilling device and a control device. The cutting device is arranged on the rack and is swingable in an up-down direction, and has a lowest swing angle and a highest swing angle. The drilling device is arranged on the rack, and includes a drilling rig and a sensor. The drilling rig is configured to drill a tunnel floor and/or a tunnel roof, and the sensor is configured to monitor a set parameter of the drilling rig and generate a monitoring data signal when the drilling rig is drilling. The control device is configured to receive and analyze the monitoring data signal.