The present invention relates to a ground milling machine, in particular a road milling machine, a recycler, a stabilizer or a surface miner, comprising a milling drum with a milling drum width (a) extending along its rotational axis and with at least two chiseling devices, each of which comprises a chisel and a chisel holder, and a sensor device for determining wear on the at least two chiseling devices in a contactless manner, said sensor device comprising a sensor for measuring a wear parameter of the at least two chiseling devices, the sensor being movable at least over a part of the milling drum width (a) in order to set an identical measurement angle () and an identical position of the sensor relative to the at least two chiseling devices in order to measure the wear parameter of the at least two chiseling devices. The present invention further relates to a method for determining wear on the at least two chiseling devices of the ground milling machine in a contactless manner.

The present invention relates to a ground milling machine, in particular a road milling machine, a recycler, a stabilizer or a surface miner, comprising a milling drum with a milling drum width (a) extending along its rotational axis and with at least two chiseling devices, each of which comprises a chisel and a chisel holder, and a sensor device for determining wear on the at least two chiseling devices in a contactless manner, said sensor device comprising a sensor for measuring a wear parameter of the at least two chiseling devices, the sensor being movable at least over a part of the milling drum width (a) in order to set an identical measurement angle () and an identical position of the sensor relative to the at least two chiseling devices in order to measure the wear parameter of the at least two chiseling devices. The present invention further relates to a method for determining wear on the at least two chiseling devices of the ground milling machine in a contactless manner.

A method for three-dimensional (3D) imaging of an underground goaf includes: obtaining a video image and point cloud data of an underground goaf; determining a posture transformation matrix, and aligning the video image and the point cloud data; identifying a material texture based on the video image to obtain material texture information; dividing the point cloud data into triangular meshes to form an initial 3D model of the underground goaf; mapping the material texture information onto the 3D model to form a target 3D model with a material texture attribute; calculating a bidirectional reflectance distribution function (BRDF) of the target 3D model based on the material texture attribute; simulating global illumination, and constructing a rendering equation; and making a setting to emit ray from a viewpoint, and performing ray tracing based on the rendering equation to obtain a high-brightness real scene image of the underground goaf.

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

In a method for determining an area milled by at least one construction machine or at least one mining machine by means of a milling drum (2) by means of working a predetermined area in several milling trajectories by at least one machine (1), determining the length of the milling trajectories along which a milling operation has taken place by evaluating the continuous machine positions, adding up the previously milled partial areas taking into account the length of the milling trajectory and the installed width of the milling drum (2), wherein the partial area currently milled along the milling trajectory is checked, either continuously or subsequently, for overlapping or multiple overlapping with any previously milled partial areas, and any partial areas which overlap are deducted, as overlapping areas, from the added-up previously milled partial areas, the total added-up partial areas milled minus the total overlapping areas established give the milled area.

A mining machine including a frame, a cutting head moveably coupled to the frame and pivotable about an axis that is substantially perpendicular to a first mine surface, and a first actuator for stabilizing the frame relative to the first mine surface. The first actuator is coupled to the frame and includes a first end extendable in a first direction to engage the first mine surface. The extension of the first actuator is automatically controlled based on measurements of at least one indicator of the force between the first actuator and the first mine surface.

A rotary sensor includes a rotor and a housing. A support structure includes a shaft, a housing portion, a first member, and a second member. A first end of the shaft is coupled to the rotor, and the shaft is supported for rotation about a shaft axis. The housing portion includes a first bore extending along a first axis, and a second bore extending along a second axis oriented at a non-zero angle relative to the first axis. The first member is received in the first bore and is movable relative to the housing portion in a direction parallel to the first axis. The first member is coupled to the second end of the shaft. The second member is received in the second bore. At least one of the housing portion and the second member is movable relative to the other of the housing portion and the second member in a direction parallel to the second axis.

A rotary sensor includes a rotor and a housing. A support structure includes a shaft, a housing portion, a first member, and a second member. A first end of the shaft is coupled to the rotor, and the shaft is supported for rotation about a shaft axis. The housing portion includes a first bore extending along a first axis, and a second bore extending along a second axis oriented at a non-zero angle relative to the first axis. The first member is received in the first bore and is movable relative to the housing portion in a direction parallel to the first axis. The first member is coupled to the second end of the shaft. The second member is received in the second bore. At least one of the housing portion and the second member is movable relative to the other of the housing portion and the second member in a direction parallel to the second axis.

A method of determining payload data of a mining machine having a bucket and a handle. Wherein, the bucket and handle are rotatably coupled via a pin and an actuator. The method includes sensing, via a first sensor, a first force associated with the actuator and sensing, via a second sensor, a second force associated with the bucket. The method further includes determining, via a controller, a rotational angle of the bucket and determining, via the controller, payload data based on the first force, the second force, and the rotational angle.

A method of determining payload data of a mining machine having a bucket and a handle. Wherein, the bucket and handle are rotatably coupled via a pin and an actuator. The method includes sensing, via a first sensor, a first force associated with the actuator and sensing, via a second sensor, a second force associated with the bucket. The method further includes determining, via a controller, a rotational angle of the bucket and determining, via the controller, payload data based on the first force, the second force, and the rotational angle.