Abstract: A system and method for exiting a low power mode of operation of a battery electric machine (BEM) are provided. The method includes determining a location of a BEM allocated to a production circuit; determining a location of a charging station compatible with the BEM; based on the locations of the BEM and the charging station and the production circuit: determining a plurality of tasks of the BEM for executing the production circuit, predicting a corresponding duration and a corresponding energy use of each of the plurality of tasks, and determining a sequence of the plurality of tasks; initiating the BEM to perform a next task after a current task of the plurality of tasks; and causing the BEM to exit a low power mode of operation of the BEM based on the predicted corresponding durations and the predicted corresponding energy uses of the current task and the next task.

Abstract: A machine at a worksite may be assigned to one or more production circuits that each include a sequence of activities. Each activity in a production circuit may associated with corresponding entry criteria indicating conditions that, if satisfied by the machine, permit the machine to initiate performance of that activity. The machine may perform activities of a production circuit if the machine satisfies the corresponding entry criteria. If the machine does not satisfy entry criteria of an activity in an assigned production circuit, the machine may switch to performing activities of a different production circuit, such as a lower-priority production circuit that has also been assigned to the machine, that includes an activity with entry criteria that the machine does satisfy.

Abstract: Industrial machines at a mine site or other worksite are monitored and controlled using a multi-phase implementation, based on data received from multiple data sources at different times. Machine telemetry data or other sensor data received from a first machine, in combination with additional sensor data from other machines at the site, detailed material attribute data received from external data sources, and/or outputs from trained machine-learned models, are used to determine characteristics of a material load and/or material blend, and to control machines at the mine site. A control system performs a multi-phase implementation for monitoring machines and/or load data in response to data received at different times, updating the material load and blend characteristics, and controlling machines at the site based on the characteristics of the material load or material blend.

Abstract: A method may include receiving, from at least one first machine, telemetry data. The at least one first machine may be operable to transport materials from at least one material source location to at least one material destination location. The method may further include sending at least one command to at least one machine based on whether a predicted sequence of processing of materials by at least one second machine at the at least one material destination location violates at least one prohibited sequence of processing. The predicted sequence of processing may be based on at least one of: a predicted sequence of arrival of the at least one first machine at the at least one material destination location, material attribute data, destination queue data, or a score for the predicted sequence of arrival.

Abstract: A system and method for dispatching haul trucks includes a production planner configured to operate based on a production plan. The production planner computationally defines production arcs for transferring material from loading tools to dump sites, computationally develops one or more possible return arcs for each production arc, compiles a set of possible return arcs, and computationally selects a sub-set of the possible return arcs to command a real time dispatcher.

Abstract: A system and method for dispatching haul trucks includes a production planner configured to operate based on a production plan. The production planner computationally defines production arcs for transferring material from loading tools to dump sites, computationally develops one or more possible return arcs for each production arc, compiles a set of possible return arcs, and computationally selects a sub-set of the possible return arcs to command a real time dispatcher.

Abstract: Industrial machines at a mine site or other worksite are monitored and controlled using a multi-phase implementation, based on data received from multiple data sources at different times. Machine telemetry data or other sensor data received from a first machine, in combination with additional sensor data from other machines at the site, detailed material attribute data received from external data sources, and/or outputs from trained machine-learned models, are used to determine characteristics of a material load and/or material blend, and to control machines at the mine site. A control system performs a multi-phase implementation for monitoring machines and/or load data in response to data received at different times, updating the material load and blend characteristics, and controlling machines at the site based on the characteristics of the material load or material blend.

Abstract: A system and method for providing distributed cross-enterprise portals is disclosed. In one form, a distributed portal to portal system includes at least one supplier portal operable to provide communication between a plurality of networks and at least one encapsulated component operably associated with the at least one supplier portal. The system further includes at least one user portal operable to receive a plurality of distributed encapsulated components. The encapsulated components may further include a global identifier operable to globally identify the distributed component.