Modular product customization method based on digital twinning

Abstract

The invention relates to a modular product customization method based on digital twinning. The method comprises the following steps: firstly, constructing a physical space, a virtual space and an enterprise operating system, and then determining a module plan of an enterprise customized product according to twinning data of the physical space, the virtual space and the enterprise operating systemacquired in real time; and sequentially performing performance simulation analysis and verification on the module plans of the enterprise customized products, if the performance simulation analysis and verification are not qualified, updating the modules until the performance simulation analysis and verification are qualified, and after the performance simulation analysis and verification are qualified, performing modular product production and assembly in the entity space. The whole production process can be considered at the beginning of customization, the feasibility and rationality of thewhole customized production process are simulated and verified, and the situation that delivery of customized products is delayed due to errors in the production process caused by incomplete consideration of the customization process is reduced.

Description

technical field [0001] The invention relates to the technical field of product customization, in particular to a digital twin-based modular product customization method. Background technique [0002] The development and design of products based on modularization can increase the production batch of modules as much as possible while providing more types of products to achieve the purpose of cost control. With the increasing demand for individualization of users, the market changes more rapidly. Therefore, in addition to customizing existing modules and matching personalized products that satisfy customers, enterprises also need to ensure that existing modules can continuously adapt to the market. Make changes. If the existing module combinations are not updated in time, it will be difficult to always customize modules that satisfy users even through mutual matching between modules. Although the stability of the old modules can be guaranteed, many aspects such as freshness a...

AI Technical Summary

Problems solved by technology

If the existing module combination is not updated in time, it will be difficult to customize modules that satisfy users even through mutual matching between modules

Although the stability of the old modules can be guaranteed, many aspects such as freshness and performance will gradually lag behind the development of the times

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