Physical simulation method and system based on digital twin for production line

Abstract

The physical simulation method and system based on the digital twin of the production line, the physical simulation method includes: determining the layout strategy of the production line; based on the pre-constructed general digital twin model, customizing the digital twin model of the production equipment; real-time interaction between the production equipment and the virtual model; At the same time, test and joint debugging the configuration of the production line; analyze the test and joint debugging results, obtain the defects and simulation of the production line; modify the virtual dynamic model; repeat until the best result is optimized; its system includes: analysis module, production equipment , planning module, physical simulation module, simulation classification module, virtual connection module and model modification module. On the basis of realizing virtual-real linkage, the present invention jointly debugs the physical entity and the virtual model of the production line, so as to comprehensively consider the uncertain factors of the equipment, so that the test results can better guide the modification of the simulation model, reduce the number of model modifications, and shorten the design time. Better design results can be obtained under the premise of cycle.

Description

technical field [0001] The invention relates to the technical field of production line design, in particular to a digital twin-based physical simulation method and system for a production line. Background technique [0002] The existing simulation design technology is more focused on the construction of the physical model of the production line equipment, relying on the data in the information space for data processing, simulation analysis and virtual verification, etc., after obtaining the preliminary design plan, it goes through design iterations and Modify the simulation model and finally get the design result. The biggest shortcomings and shortcomings of these technologies are: (1) The simulation design mainly focuses on the construction of geometric and physical dimensional models of production equipment. These models cannot simultaneously reflect the geometric shape of production equipment, production behavior and various physical changes in the production process. , ...

AI Technical Summary

Problems solved by technology

The biggest shortcomings and shortcomings of these technologies are: (1) The simulation design mainly focuses on the construction of geometric and physical dimensional models of production equipment. These models cannot simultaneously reflect the geometric shape of production equipment, production behavior and various physical changes in the production process. , so the simulation based on these models cannot truly describe the production process, resulting in inaccurate results of the related simulation design, requiring complicated test modifications before the designed production line can be put into use

(2) Some existing production line design and simulation methods collect on-site logistics operation logic, production time and other data to guide the simulation design and verify the results. However, in the actual implementation process, information data and physical data are often separated from each other. As a result, the information data cannot be fully utilized to ensure the authenticity, accuracy and reliability of the simulation model and design results to the greatest extent

(3) There is a lack of consistency and simultaneity between the information and the physical model, and it is impossible to realize the joint debugging of the simulation model and the physical entity of the production line, which makes it difficult to combine the actual production condition data in the test process to properly adjust the simulation model and the corresponding design parameters. , in place of the modification, further led to the situation of "imitation but not real", exacerbated the repetition of design

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