Abstract
This paper combines the digital twin system modeling method to conduct an in-depth study and analysis of graph-theoretic combinatorial optimization. This paper provides new ideas and approaches for optimal numerical analysis work by studying the digital twin modeling method that integrates digital modeling and graph theory combination, provides theoretical support for safe, stable, and economic operation of the system, proposes a solution for digital twin model based on big data platform, focuses on the nearest neighbor propagation (AP) and graph theory combination, solves the digital twin real-time monitoring data asynchronous, incomplete problem, and applies the algorithm to the digital twin model based on the big data platform for data preprocessing to achieve better results. This paper also presents a web-based digital twin system based on intelligent practical needs, analysis, and comparison of existing models, combined with digital twin technology, detailing the differences and connections between the various levels of numerical analysis and the implementation of this data in various fields, such as user management, equipment health management, product quality management, and workshop 3D navigation and detailed modeling of the digital twin system based on this numerical analysis to realize remote online monitoring, analysis, and management. In this paper, for the numerical analysis process, firstly, the key technologies of modeling and simulation operation control of production line based on digital twin are studied, and the rapid response manufacturing system based on a digital twin is designed and validated. Secondly, a scheduling technology framework for capacity simulation evaluation and optimization is established, and batching optimization, outsourcing decision, and rolling scheduling techniques are thus proposed to form a batching optimization algorithm based on priority rules, which realizes batching processing, outsourcing decision, and rolling scheduling of production orders to optimize equipment utilization and capacity. Finally, digital twin-based modeling is designed, and the validation results demonstrate the system’s superior performance in achieving information interaction between physical and virtual production lines, optimization of numerical analysis, and display of results.
Highlights
With the continuous development and progress of the manufacturing industry and information technology, the manufacturing industry is facing the great impact and challenges brought by the information age, and the crossfertilization of the manufacturing industry and information technology is inevitable
Based on the discussion and application of the digital twin model by the industry and scholars, we find that the digital twin model is a kind of information mirroring model, virtual and real interconnection model, which exists in the whole life cycle of physical objects and coevolves with it, and how to ensure data transmission in real time and accuracy is important
A digital twin is an effective method to achieve real-time interaction and integration between the physical world and the information world, and the study of the connotation of the digital twin helps to deepen the understanding of its application, and it helps to start the research of digital twin production line modeling method. e digital twin is applied to the whole product lifecycle, and the digital twin is built based on fullfactor, full-lifecycle data, where the product lifecycle is defined as seven stages: requirement analysis, conceptual design, detailed design, manufacturing, sales, after-sales service, and recycling. e digital twin concept helps companies establish a bidirectional data flow between all aspects of the full lifecycle, providing full, multi-dimensional, and maximized value to producers and users
Summary
With the continuous development and progress of the manufacturing industry and information technology, the manufacturing industry is facing the great impact and challenges brought by the information age, and the crossfertilization of the manufacturing industry and information technology is inevitable. Digital twin is the use of physical equipment, digital models, historical data, information interaction, and other data to integrate multidimensional, multidisciplinary, and multifunctional simulation process and to complete the mapping of reality in the digital space and the process of representing the life cycle of physical equipment It is a concept beyond reality which can be seen as a digital mapping system of several important and related physical devices. E digital twin-based production line modeling and simulation operation control technology aims to realize the real-time interaction of data information between the production line in physical space and its corresponding information space, to simulate the modeling of the production line and evaluate and optimize the data analysis, and to improve the efficiency and effectiveness of enterprises and enhance the independent research and development capability and scientific and technological innovation capability of the national defense science and technology industry The CNC machine tool technicians have a high level of technical requirements. erefore, in the actual production process, the CNC machine tool machining process design errors will bring serious processing accidents. e digital twin-based production line modeling and simulation operation control technology aims to realize the real-time interaction of data information between the production line in physical space and its corresponding information space, to simulate the modeling of the production line and evaluate and optimize the data analysis, and to improve the efficiency and effectiveness of enterprises and enhance the independent research and development capability and scientific and technological innovation capability of the national defense science and technology industry
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