Digital Twin Error Detection and Compensation for Complex Equipment
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Solution Overview
Problem
Current methods for improving the operating precision of complex equipment, such as computer numerical control machine tools, lack adaptability to time-varying operating scenarios and fail to effectively integrate detection devices and control systems, leading to inefficient error detection and compensation.
Innovation Solution
A digital twin (DT) enhanced method and system that deeply fuses complex equipment with time-varying operating scenarios, built-in/external detection devices, and control systems using DT technology. This system builds fused DT models to adaptively decide and autonomously implement detection strategies and compensation solutions, improving precision by integrating real-time sensor data and historical operating data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If constant detection strategies are used without fusing detection strategy deciding model with equipment/operating environment, then the detection system is simpler to implement, but the adaptive capability to time-varying operating scenarios deteriorates
Solution Approach 1:
The patent transforms static constant detection strategies into dynamic adaptive strategies by fusing the detection strategy deciding model with equipment and operating environment data. The system continuously adjusts detection strategies based on real-time operating conditions, equipment state, and scenario characteristics, enabling the detection system to adapt dynamically to time-varying operating scenarios while maintaining manageable complexity through modular model fusion.
2Adaptability or versatility
If relatively independent detection devices are used without fusing detection strategy implementation model with detection devices, then the detection devices are easier to deploy, but the flexible adaptability to variable detection strategy implementation deteriorates
Solution Approach 1:
The patent implements feedback mechanisms by fusing the detection strategy implementation model with detection devices. The system continuously monitors detection device performance and operating conditions, uses this feedback to adjust detection strategies in real-time, and refines the fused DT model based on actual detection results. This closed-loop feedback enables flexible adaptability to variable detection strategies while managing system complexity through iterative optimization.
3Adaptability or versatility
If fixed compensation method by modifying compensation parameters of controller is used without fusing detection result compensation model with operating process controller, then the compensation implementation is simpler, but the adaptability to complex compensation strategies deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-fusing the detection result compensation model with the operating process controller to create a ready-to-respond compensation system. The fused model预先 integrates compensation strategies, algorithms, and controller interfaces, enabling rapid adaptation to complex compensation scenarios without requiring complex real-time configuration. This preliminary fusion of compensation models with controllers enables flexible adaptability while managing implementation complexity.
Data Source
AI summary
A digital twin (DT) enhanced method and system for detecting and compensating complex equipment, including: firstly intelligently deciding detection strategies that adapt to personalized scenarios based on a complex equipment and operating scenario fused DT model; then, autonomously implementing the detection strategies based on a complex equipment and detection device fused DT model, and location and quantitative errors according to detection results; and finally, deciding and implementing a compensation solution fused with an operating process based on a complex equipment and controller fused DT model. A complex equipment DT system is deeply fused with time varying operating scenarios, a detection device and a control system, and the adaptive capability of the detection strategies to personalized operating objects and the time varying operating process, the autonomous implementation and analysis capability of variable strategy detection, and the coupling implementation capability of the compensation and operating process are improved.