A work state identifying unit identifies work states of a work machine. A parameter identifying unit identifies a parameter related to a work amount per unit time of the work machine or a parameter related to a speed of the work machine for each of the identified work states on the basis of a time series of position data, azimuth data, or speed data of the work machine.

Method and systems for operating a work vehicle with a selectively interchangeable implement. Image data is captured by a camera (and/or other type of optical sensor) mounted on the work vehicle. The captured image data includes at least a portion of a first implement and the implement type of the first implement is identified by processing the captured image data. Operation information correspond to the identified implement type is accessed from a non-transitory computer-readable memory and an operation of the work vehicle is automatically adjusted based on the accessed operation information for the identified implement type. In some implementations, the implement type is determined by providing the captured image data as input to an artificial neural network and, in some implementations, the artificial neural network is configured to also output an indication of a current operating position of the implement based on the captured image data.

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a link unit attached to the upper turning body, and a processing circuitry configured to align an end of the link unit with an end attachment to be attached.

A mining machine is disclosed. The mining machine may include a mobile ranging device, a movement sensor device, and a control unit. The mobile ranging device may be configured to communicate with a location sensor device and cause the location sensor device to transmit location data relating to a location of the mining machine. The movement sensor device may be configured to transmit movement data relating to a movement of the mining machine. The control unit may be configured to receive coordinate data relating to a plurality of zones and a plurality of drawpoints of a tunnel, the location data, and the movement data. The control unit may identify an active zone, determine a machine heading, determine a machine articulation, identify an active drawpoint based on the active zone, the machine heading, or the machine articulation, and cause an action to be performed in connection with the active drawpoint.

Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method includes: acquiring a target excavating trajectory, the target excavating trajectory including at least two sub-trajectories; determining trajectory parameters of the at least two sub-trajectories; determining, based on the trajectory parameters, positions of a plurality of control points; and outputting the positions of the plurality of control points.

A system, method, and apparatus can provide control signaling to control one or more autonomous machines during a plurality of predefined periods of time. Each of the one or more autonomous machines can be controlled according to a maximized productivity level for each task performed by the autonomous machine while at the same time generating sound during performance of the task at the maximized productivity level no louder than respective maximum noise limit levels specific for the plurality of predefined periods of time.

Provided is a system which can avoid instability of an operating state of a working machine, when switching a remote operation actor of the working machine. In a case where a state of one or both of a working machine 40 or a first operator is a specified state when the working machine 40 is remotely operated through a first remote operation apparatus 10, a first notification corresponding to the specified state is transmitted to a remote operation server 30. In the remote operation server 30, a second remote operation apparatus 20 which is appropriate in view of content of the first notification is selected as the remote operation actor of the working machine 40.

A work vehicle includes a traveling unit, a revolving unit disposed on an upper side of the traveling unit, a work implement disposed on the revolving unit, a revolving driver that revolves the revolving unit, a receiver, an end position setting component, a revolution position sensor, and a drive controller. The receiver directly or indirectly receives information related to a position of an object serving as a target of a revolution of the revolving unit, from the object. The end position setting component sets an end position of a revolution of the revolving unit based on information related to the position of the object. The revolution position sensor senses a revolution position of the revolving unit during a revolution. The drive controller controls the revolving driver based on the revolution position to revolve the revolving unit from a start position of a revolution to the end position.

One or more processors control a first work machine to work according to a first work lane. The one or more processors control a second work machine to work according to a second work lane. The one or more processors determine whether at least a part of the second work machine is located in a first work area. When at least a part of the second work machine is located in the first work area, the one or more processors control the first work machine to perform an interference avoidance operation with respect to the second work machine.

The present disclosure provides a fatigue management system capable of managing fatigue of each portion of a construction machine more accurately than conventional systems. The fatigue management system S includes: a stress calculation section S1 that calculates stress acting on a plurality of portions of the construction machine based on the output of a sensor 18 attached to a part of the construction machine; a damage degree calculation section S2 that calculates the cumulative damage degree of each portion of the construction machine based on the stress calculated by the stress calculation section S1; and an index value calculation section S3 that calculates a fatigue index value, which is a weighted value of the cumulative damage degree, for each portion.