Manufacturing equipment-oriented digital twinborn model construction method

Abstract

The invention belongs to the technical field of digital twinning, and provides a manufacturing equipment-oriented digital twinborn model construction method. The digital twinborn model is composed of a digital geometric model, an IoT model, an algorithm model, a physical feature abstraction unit and an equipment driving unit. The modeling process of the physical model is realized by parameterized data information and a digital virtual technology; by simulating behaviors of physical equipment during operation through model parameters, and applying the simulated virtual equipment, namely the digital twinborn body, to production, two-way communication with the physical equipment is established through the equipment driver. In the running process of the equipment driver instance, data are collected in real time through the equipment driver and transmitted to the digital twinborn model for analysis, and the health state and fault symptoms of the equipment are judged and predicted. The functions of task simulation, state monitoring, task optimization, fault analysis and prediction are realized. The sustainable production capacity of a manufacturing enterprise is improved, and production planning and decision analysis of the enterprise are supported.

Description

technical field [0001] The invention relates to a manufacturing equipment-oriented digital twin model construction method. By using digital geometric model, physical feature model, IoT model, algorithm model and hybrid device drive unit group, combined with parametric data information and digital virtual technology, a digital twin model is constructed, and the operation / operation behavior of manufacturing equipment is simulated through the digital twin model , apply the simulated virtual device, that is, the digital twin, to production, and establish two-way communication with the manufacturing equipment through the hybrid device drive unit group. Transfer to the digital twin model for analysis, judge and predict the health status and fault symptoms of equipment, realize task simulation, status monitoring, task optimization, fault analysis and prediction functions, improve the sustainable production capacity of manufacturing enterprises, and support the production planning of ...

AI Technical Summary

Problems solved by technology

[0004] To realize the use of digital technology in the simulation process of manufacturing equipment to solve the problem of virtual mapping, the invention provides a digital twin model construction method for manufacturing equipment, including building digital geometric models, Iot models, algorithm models, physical feature models and hybrid equipment The driving unit group, in which the hybrid device driving unit group completes the command issuance and data collection of the manufacturing equipment through the control and decision rule library in the algorithm model, and combines the data information of related manufacturing attributes and digital virtual technology to build a digital twin model, and Optimize the operation behavior and function expansion of manufacturing equipment through the relevant manufacturing attribute data generated at runtime, and then establish a duplex communication mode between the hybrid device drive unit group and the manufacturing equipment, and collect the manufacturing device attributes in real time through the hybrid device drive unit group The data is transmitted to the digital twin model for analysis, and the equipment health status and fault symptoms are evaluated and predicted to realize task simulation, condition monitoring, task optimization, fault analysis and prediction functions, and improve the sustainable production capacity of manufacturing enterprises and support The production planning and decision-making analysis of the enterprise are realized through the following steps:

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