Self-adaptive configuration method and system for linkage response of construction type, motion type, control type and optimization type

Patent metadata

Field	Value
Publication number	US-11340562-B2
Application number	US-202017072722-A
Country	US
Kind code	B2
Filing date	Oct 16, 2020
Priority date	Mar 16, 2020
Publication date	May 24, 2022
Grant date	May 24, 2022

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.

First claim

What is claimed is:

1. A self-adaptive configuration method for linkage response of a construction type, a motion type, a control type and an optimization type, comprising the following steps of:
step A: construction type configuration: building a three-dimensional model of each real-object device ( 2 ) in a simulation system ( 1 ) to form a plurality of real-object device digital models, and assembling the plurality of real-object device digital models in the simulation system according to design requirements of a production line to form a production line layout model ( 11 );
step B: motion type design: compiling motion control scripts of all the real-object device digital models in the production line layout model ( 11 ) in the simulation system ( 1 ) according to the design requirements of the production line, and controlling machining motions of the real-object device digital models and logistics transportation of work-in-process through a script language;
step C: control type design: the simulation system ( 1 ) being provided with a control center ( 12 ) for controlling the production line layout model ( 11 ) and a real-object device ( 2 ) to operate;
establishing real-time communication and motion synchronization between each real-object device ( 2 ) and the corresponding real-object device digital model in the production line layout model ( 11 ) by using a digital twin technology;
setting an upper computer ( 3 ), establishing a binary channel of instruction downlink and information uplink for the upper computer ( 3 ) and the control center ( 12 ), so that the upper computer ( 3 ) issues a production instruction to the control center ( 12 ) and the upper computer ( 3 ) collects real-time state data of the real-object device ( 2 );
building an industrial control network ( 4 ) for driving the real-object device ( 2 ) to operate, issuing, by the control center ( 12 ), production instruction to the real-object device ( 2 ) through an industrial control network ( 4 ) and acquiring the real-time state data of the real-object device ( 2 ) through the industrial control network; and
step D: optimization type evolution: the optimization type referring to iterative optimization of the production line layout model ( 11 ), and the iterative optimization comprising:
first-level iterative optimization, the upper computer ( 3 ) comprising a management and control center ( 31 ), the management and control center ( 31 ) comprising an execution engine ( 311 ) and a MES system ( 312 ), and the MES system ( 312 ) analyzing a machining technology and a logistics organization form of products in a workshop, and discriminating a coupling structure of the production line layout model ( 11 ) and a coupling optimization problem during production; and
the execution engine ( 311 ) being a decoupling algorithm with a decoupling mechanism, which solves the coupling optimization problem in the production line layout model ( 11 ), and generates a production scheme of the production line layout model ( 11 );
two-level iterative optimization, optimizing and adjusting technological motions of the real-object device digital models and a transportation path of the work-in-process in the production line layout model ( 11 ) according to the design requirements, optimizing and adjusting the motion control script in the simulation system ( 1 ) according to the optimization of the technological motions and the transportation path, and making self-adaptive adjustment synchronously by the industrial control network ( 4 ) according to a change of the motion control script; and
three-level iterative optimization, rebuilding the production line layout model ( 11 ) in the simulation system ( 1 );
the evolution referring to online simulation production performed on the production line layout model ( 11 ) subjected to the first-level iterative optimization, and detecting whether each real-object device ( 2 ) meets preset production requirements;
if each real-object device meets the preset production requirements, outputting a current generation of the production line layout model ( 11 );
if each real-object device does not meet the preset production requirements, determining whether the current generation of the production line layout model ( 11 ) is subjected to a second-level iterative optimization;
if the current generation of the production line layout model ( 11 ) is not subjected to the second-level iterative optimization, the current generation of the production line layout model ( 11 ) entering the second-level iterative optimization;
if the current generation of the production line layout model ( 11 ) is already subjected to the second-level iterative optimization, the current generation of the production line layout model ( 11 ) entering a third-level iterative optimization first, and then entering the second-level iterative optimization;
after finishing the second-level iterative optimization, determining whether the current generation of the production line layout model ( 11 ) is subjected to the third-level iterative optimization;
if the current generation of the production line layout model ( 11 ) is not subjected to the third-level iterative optimization, the current generation of the production line layout model ( 11 ) entering the first-level iterative optimization again;
if the current generation of the production line layout model ( 11 ) is already subjected to the third-level iterative optimization, the production line layout model ( 11 ) being defined as a new generation of the production line layout model ( 11 ), and then entering the first-level iterative optimization.

2. The self-adaptive configuration method for the linkage response of the construction type, the motion type, the control type and the optimization type according to claim 1 , wherein the execution engine ( 311 ) is a hyper-heuristic decoupling algorithm, the execution engine ( 311 ) performs online self-adaptive adjustment according to a change of a coupling optimization problem in each generation of the production line layout model ( 11 ), and the online self-adaptive adjustment comprises decoupling algorithm parameter adjustment and decoupling algorithm framework adjustment.

3. The self-adaptive configuration method for the linkage response of the construction type, the motion type, the control type and the optimization type according to claim 1 , wherein the control type design in the step C further comprises: planning and designing an autonomous control system, and dividing the production line layout model ( 11 ) into a plurality of autonomous units ( 111 ) according to the design requirements of the production line, wherein the control center ( 12 ) is provided with unit control centers ( 121 ) with a same number as that of the autonomous units ( 111 ), one of the unit control centers ( 121 ) independently controls one of the autonomous units ( 111 ) to operate, and the real-object device ( 2 ) in the workshop constitutes a real-object unit ( 21 ) completely consistent with the autonomous unit ( 111 ).

4. The self-adaptive configuration method for the linkage response of the construction type, the motion type, the control type and the optimization type according to claim 1 , wherein the industrial control network ( 4 ) in the step C is a PLC control network ( 41 ).

5. The self-adaptive configuration method for the linkage response of the construction type, the motion type, the control type and the optimization type according to claim 4 , wherein the PLC control network ( 41 ) collects the real-time state data of the real-object device ( 2 ) through a SCADC system ( 5 ), and uploads the collected real-time state data to the upper computer ( 3 ).

6. The self-adaptive configuration method for the linkage response of the construction type, the moti

Assignees

• Univ Guangdong Technology

Inventors

• Liu Qiang
• Leng Jiewu
• Yan Duxi
• Zhang Ding
• Zhang Hao

Classifications

• B25J9/1605

  Simulation of manipulator lay-out, design, modelling of manipulator · CPC title

• G05B19/41885

  characterised by modeling, simulation of the manufacturing system · CPC title

• G05B19/41865

  characterised by job scheduling, process planning, material flow · CPC title

• Y02P90/02

  Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title