A management system includes a course data generation unit that generates course data for each of a plurality of unmanned vehicles such that loading work for the plurality of unmanned vehicles by a loader is sequentially performed on a work site where a plurality of the loaders operates; and a priority determination unit that determine a passage order at an intersection on the work site of the plurality of unmanned vehicles traveling according to the course data so as to reduce a total loading loss indicating a total of loss amounts in operation of each of the plurality of the loaders.

The possibility of a work machine 40 being affected by a disaster in a second designated area including an existence position of the work machine 40 is predicted based on an amount of rainfall in a first designated area. A hazard map representing a result of the prediction of the possibility of the work machine 40 being affected by a disaster in the second designated area is outputted to a remote output interface 220 in a remote operation apparatus 20 (a client) (or a management output interface 620 in a management client 60). Accordingly, a user can take measures to reduce the possibility of the work machine being affected by a disaster, for example, to communicate with the persons involved in order to move the work machine 40 from a current position.

Provided are a server for maintenance, a remote monitoring system, and a remote monitoring method. The server is connected, via a network, to a plurality of working machines each including a working machine display device that displays machine state information and a working machine operating device to be used for predetermined operation, and to a monitoring terminal that includes a display part and remotely monitors information on the working machines. Communication between each of the plurality of working machines and the server is one-way communication from the working machines to the server. The server includes a first storage part, a second storage part, and a display processing part. The display processing part generates a display part simulated image, and causes the display part of the monitoring terminal to display a maintenance screen including the display part simulated image.

A control system of a power machine can be configured to allow certain power machine functionality based on a wireless connection with a mobile device. For example, a power machine can operate in a startup mode providing limited functionality to an operator (e.g., engine power, but no workgroup actuators). Access to additional power machine functionality (e.g., full functionality) can then be permitted based on establishing a wireless connection to a mobile device that corresponds to an operator profile for the power machine.

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

A controller acquires a static path indicative of a target route of a transport vehicle. The static path includes a first endpoint and a second endpoint. The static path is set between a first work machine and a second work machine. The controller determines a first dynamic path that connects the first endpoint and a first target position for work of the first work machine. The controller determines a second dynamic path that connects the second endpoint and a second target position for work of the second work machine. The controller controls the transport vehicle so that the transport vehicle travels according to the static path, the first dynamic path, and the second dynamic path.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.

There is provided a server and a system capable of enabling an operator of a remote operating device to recognize which remote operating device remotely operates a work machine displayed on an output interface constituting the remote operating device. For example, a first work environment image indicating a situation of a work site acquired through an image pickup device 412 loaded on a work machine 40 is outputted on an output interface 220 constituting each of a plurality of remote operating devices 20.

Versatile and convenient safety management of a construction machine is achieved. Construction machines and workers are photographed by a camera of a surveying apparatus. The images of a construction machine and a worker are identified in the photographic image. The positions of the construction machine and the worker that are identified in the photographic image are measured by the surveying apparatus with the use of laser light. The separation distance between the construction machine and the worker in which the positions are measured is calculated. In the case in which the calculated separation distance is at a threshold or less, a warning is issued to the construction machines and the workers.

The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.