公开(公告)号：US12131275B2

公开(公告)日：2024-10-29

申请号：US17936462

申请日：2022-09-29

申请人： Caterpillar Inc.

发明人： Stefan J. Wulf ,  Cameron T. Lane ,  Andrew S. Yun

IPC分类号： G06Q10/0631 ,  B60W60/00 ,  E02F9/20 ,  E02F9/26 ,  G05B13/02 ,  G06Q10/0639 ,  G07C5/10 ,  B60L58/12

CPC分类号： G06Q10/063114 ,  B60W60/0025 ,  E02F9/2062 ,  E02F9/2091 ,  E02F9/261 ,  G05B13/0265 ,  G06Q10/0639 ,  G07C5/10 ,  B60L58/12 ,  B60L2200/40 ,  B60W2300/17

摘要： Systems and methods are disclosed for managing task assignments for a plurality of work machines at a site. An assignment engine may: receive first state data for a work machine including historical data, operating condition, and location data, and second state data for the site including characteristic data for materials and a plurality of available tasks; predict performance data and energy consumption data of the work machine for a task; select a task for the work machine by inputting first state data and second state data into a trained reinforcement-learning model, wherein: the model has been trained to learn an assignment policy that optimizes a reward function such that the learned policy selects a task for at least one work machine from the plurality of tasks available at the site; and cause the at least one work machine to be operated according to the at least one task assignment.