Production Line Digital Twin Layout for Real-Time Virtual-Physical Debugging
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Solution Overview
Problem
Existing production line design technologies focus on geometric and physical models, failing to accurately simulate production processes and integrate information and physical data, leading to inaccurate designs and complex modifications.
Innovation Solution
A method and system for designing production lines using digital twin technology, involving systematic analysis, customization of DT models, near-physical simulations, and real-time interaction between physical and virtual models to classify problems and generate default configurations, enabling joint debugging and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing simulation design technologies focus on construction of geometric and physical dimensional models, then the model construction is simplified, but the simulation cannot truly describe the production process, resulting in inaccurate simulation design
Solution Approach 1:
The patent creates a digital twin that copies not only the geometric appearance but also the physical properties, production behaviors, and operational states of the actual production device. This comprehensive copying enables accurate simulation while maintaining ease of model construction through standardized digital twin frameworks.
Solution Approach 2:
The patent merges geometric models, physical property models, and production behavior models into a unified digital twin framework. This integration allows the simulation to simultaneously represent multiple aspects of the production process, resolving the contradiction between model simplicity and simulation accuracy.
2Device complexity
If information data and physical data are separated in the actual implementation process, then data processing is simplified, but it is impossible to make full use of information data to ensure the authenticity, accuracy and reliability of the simulation model
Solution Approach 1:
The patent merges information data and physical data into a unified digital twin system where both types of data coexist and interact. This integration ensures that simulation models are built on both physical principles and actual operational information, enhancing reliability while managing complexity through standardized data structures.
Solution Approach 2:
The patent establishes feedback mechanisms where information data from production processes continuously updates and validates the digital twin model. This feedback loop ensures the simulation model remains accurate and reliable by comparing simulated outcomes with actual production data and adjusting accordingly.
3Ease of manufacture
If there is lack of consistency and simultaneity between information and physical model, then model development is easier, but it is impossible for joint debugging between simulation model and physical entity, leading to complicated design modifications
Solution Approach 1:
The patent implements a dynamic digital twin system that maintains real-time consistency between the physical model and information model. Both models are updated simultaneously as production conditions change, enabling joint debugging and reducing the complexity of design modifications through synchronized updates.
Solution Approach 2:
The patent creates a real-time copy of the physical production device in the digital twin, maintaining consistent state and behavior characteristics. This copying approach allows parallel development and testing of both physical and virtual models, simplifying the debugging process while maintaining model consistency.
Data Source
AI summary
A method for designing a production line based on digital twin (DT), includes: determining a layout strategy of a production line; customizing a DT model of production device based on a pre-built universal DT model; allowing the production device to interact with a virtual model in real time; simultaneously testing and debugging a configuration of the production line; analyzing a test and debug result to derive a defect of the production line; modifying a virtual dynamic model; repeating until an optimal result is generated through optimization and designing the product line according to the optimal result. Based on the realization of virtual and real linkage, the present disclosure performs joint debugging on a physical entity and a virtual model in the production line so as to comprehensively consider uncertainty factors of the device and better guide the modification of the simulation model according to the test result.