2results about How to "Reduce queuing" patented technology

This application discloses a method, device, and medium for collaborative scheduling of wireless charging AMR clusters considering task sequence constraints, relating to the field of AMR job scheduling optimization. The aim of this application is to address the problem that existing AMR cluster job scheduling methods struggle to balance solution efficiency, solution quality, and field executability in medium to large-scale instances. This application selects candidate AMRs for the current task to be assigned. Based on the candidate AMRs, it calculates the maximum amount of electricity that a candidate AMR can obtain through wireless charging during the execution of the current task, as well as the predicted state of charge (SOC) of the candidate AMR after executing the current task. If the predicted SOC is greater than or equal to the minimum SOC safety threshold, the current task to be assigned is allocated to the candidate AMR; otherwise, a charging operation is inserted into the candidate AMR to restore its SOC to full charge, and then the current task to be assigned is allocated to the candidate AMR again.

The application provides a signal timing and networked automatic driving vehicle speed hierarchical collaborative control method based on reinforcement learning, and relates to the technical field of intelligent traffic control and vehicle-road collaborative control, and comprises the following steps: obtaining the stop-and-drive vehicle state information on the import lane served by each phase at each signal cycle boundary, and generating a reference timing scheme of the next cycle by a cycle timing intelligent agent based on the stop-and-drive vehicle state information; obtaining a refined discharge window; and outputting a continuous longitudinal acceleration control instruction to a target networked automatic driving vehicle by a networked automatic driving vehicle speed intelligent agent according to the refined discharge window, so that the arrival time of the target networked automatic driving vehicle matches the discharge window, and the collaborative control of traffic signal timing and vehicle speed is realized.