公开(公告)号：US12253861B2

公开(公告)日：2025-03-18

申请号：US18097833

申请日：2023-01-17

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Bin Xin ,  Sai Lu ,  Lihua Dou ,  Jie Chen ,  Qing Wang ,  Miao Wang

IPC: G05B19/41 ,  G05B19/4155 ,  G05D1/00

Abstract: A multi-robot collaboration method in a flexible hardware production workshop is provided, by which allocation of workpiece machining tasks and transfer of workpieces in different workstations can be achieved and meanwhile relatively high calculation cost is avoided. According to the method, a distributed collaboration method is fully used, and in allusion to the current technical condition, the allocation of the workpiece machining tasks and the transfer of the workpieces in different workstations can be achieved and meanwhile the relatively high calculation cost is avoided. A multi-AGV path conflict eliminating method is used for avoiding possible collision of AGVs during movement. A centralized intervention and adjustment method is used for discovering and predicting system conflicts and failure problems and making timely dispatching and adjustment so as to improve the automation level and the flexibility level of a hardware workshop.

公开(公告)号：US12099346B1

公开(公告)日：2024-09-24

申请号：US18648438

申请日：2024-04-28

Applicant: Beijing Institute of Technology

Inventor： Bin Xin ,  Yingmei He ,  Sai Lu ,  Fang Deng ,  Qing Wang ,  Mengjie Jing ,  Jiwei He

IPC: G05B13/04 ,  G05B13/02 ,  G05B19/418

CPC classification number: G05B19/41845 ,  G05B13/0265 ,  G05B13/04

Abstract: Disclosed is a large-scale dynamic double-effect scheduling method for a flexible job shop based on genetic programming (GP). In a GP implementation process of the present disclosure, in addition to features related to workpieces, processing robots and automated guided vehicles (AGVs), such as processing time of working procedures and buffer area waiting time, features of a ratio of processing time to transfer time and a ratio of processing energy consumption to transfer energy consumption are also added in a terminal set to cause job shop environment features to be more comprehensively applied to a scheduling rule design, thereby automatically designing a more consistent and accurate scheduling rule. A double-effect scheduling rule of the present disclosure overcomes the shortcomings of slow convergence speed, difficulty in rapid corresponding changes and unfit scheduling rules, and can quickly produce a more efficient and energy-saving production scheduling scheme.