公开(公告)号：US20210299827A1

公开(公告)日：2021-09-30

申请号：US17072668

申请日：2020-10-16

Applicant: GUANGDONG UNIVERSITY OF TECHNOLOGY

Inventor： Qiang LIU ,  Jiewu LENG ,  Qianyi SU ,  Ding ZHANG ,  Ailin YU

IPC: B25B21/00

Abstract: Disclosed are an optimization method and a system based on a screwdriving technology in mobile phone manufacturing. The method comprises: acquiring mobile phone machining data; establishing a technological framework; determining initial screwdriving technological parameters and a range of the screwdriving technological parameters by a neural network algorithm; building a digital twin model of a screwdriving device by a digital twin technology and establishing a virtual-real synchronous real-object simulation platform to make a real object and a simulation model run synchronously; integrating the digital twin model of the screwdriving device with each module to synchronize data of the screwdriving device with data of each module; and if screwdriving feedback information is abnormal, optimizing the screwdriving technology according to the range of the parameters. A real-time running state can be tested and technological parameters can be monitored during technological process, and parameters in the screwdriving technological process can be adjusted in time.

公开(公告)号：US20240255902A1

公开(公告)日：2024-08-01

申请号：US18430606

申请日：2024-02-01

Applicant: Guangdong University of Technology

Inventor： Ding ZHANG ,  Jiafeng YANG ,  Qiang LIU ,  Duxi YAN ,  Rongli ZHAO

IPC: G05B13/04

CPC classification number: G05B13/047 ,  G05B13/048

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

公开(公告)号：US20210286325A1

公开(公告)日：2021-09-16

申请号：US17072722

申请日：2020-10-16

Applicant: GUANGDONG UNIVERSITY OF TECHNOLOGY

Inventor： Qiang LIU ,  Jiewu LENG ,  Duxi YAN ,  Ding ZHANG ,  Hao ZHANG

IPC: G05B13/02 ,  G06F30/20 ,  B25J9/16 ,  G05B19/418

Abstract: Disclosed are a self-adaptive configuration method and system for linkage response of a construction type, a motion type, a control type and an optimization type. The disclosure aims to provide the self-adaptive configuration method and system for linkage response of quick adjustment and design of a workshop production line. The self-adaptive configuration method comprises the following steps of step A: construction type configuration; step B: motion type design; step C: control type design; and step D: optimization type evolution, wherein the step D comprises first-level iterative optimization, second-level iterative optimization and third-level iterative optimization. A closed optimization cycle is formed by the first-level iterative optimization, the second-level iterative optimization and the third-level iterative optimization jointly, and the multi-level iterative optimization is performed on the production line linkage design framework, so that the workshop production line can be self-adaptively and quickly adjusted and designed.

公开(公告)号：US20200249663A1

公开(公告)日：2020-08-06

申请号：US16820638

申请日：2020-03-16

Applicant: GUANGDONG UNIVERSITY OF TECHNOLOGY

Inventor： Qiang LIU ,  Jiewu LENG ,  Ding ZHANG ,  Xin CHEN ,  Lijun WEI

IPC: G05B19/418

Abstract: The present invention relates to the technical field of industrial automation, and in particular to a method and system for quick customized-design of an intelligent workshop. The method comprises the following steps: step A: acquiring design requirement information of a production line, and performing modeling in a simulation system according to the design requirement information; step B: performing action planning of a physical stand-alone device, performing logistics and motion planning of articles being processed, and compiling motion and action control scripts; step C: establishing, by the digital twin technology, a communication channel among a PLC system of the workshop digitization model, a PLC system of a physical workshop device and a host computer; and, step D: outputting a three-dimensional digital twin model as a blueprint for follow-up design and development of the stand-alone device, a control system and an execution system.