Mine Stress Field Twin Modeling Assimilation System
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Solution Overview
Problem
Conventional methods for measuring ground stress in deep mines are cumbersome, difficult to operate, and lack accuracy, making them ineffective for early warning and prevention of outburst accidents, which increases the risk of dynamic disasters like rock bursts and coal and gas outbursts.
Innovation Solution
A twin modeling and assimilation system that combines digital twinning technology with assimilation and inversion methods to establish a three-dimensional mine stratum model, allowing for accurate simulation and prediction of stress field evolution throughout the mining process, using a digital model unit, physical model unit, and human-machine interaction unit to synchronize data and provide real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ground stress testing methods (stress recovery method, overcoring stress relief method, hydraulic fracturing method) are used, then ground stress can be measured, but the operations are cumbersome, technology is difficult, and accuracy is low
Solution Approach 1:
The patent creates a digital twin model that copies the physical mine stress field into a virtual computational model. This digital replica allows stress field characteristics to be measured and analyzed without physically intrusive testing methods, thereby improving measurement accuracy while reducing operational complexity and risk.
Solution Approach 2:
The patent replaces mechanical field-based measurement methods (overcoring, hydraulic fracturing) with a computational simulation approach. The digital twin model uses numerical calculations to determine stress field characteristics, substituting complex mechanical testing with computer-based inversion analysis that is less intrusive and more accurate.
2Reliability
If conventional ground stress testing methods are used, then ground stress data can be obtained, but early warning and prevention of outburst accidents is not effective
Solution Approach 1:
The digital twin model enables preliminary simulation and prediction of stress field evolution before actual mining operations occur. By pre-calculating stress distribution and potential outburst risks in the virtual model, the system provides advance warning and allows for preventive measures to be taken before dangerous conditions develop in the physical mine.
Solution Approach 2:
The system incorporates real-time feedback mechanisms where monitoring data from the physical mine is continuously fed back into the digital twin model. This feedback loop allows the model to update its stress field calculations in real-time, providing continuous early warning capabilities and improving the reliability of outburst prevention by adapting to changing mine conditions.
3Loss of information
If a large-scale full time-space numerical model is established to simulate the entire mining cycle, then the law of distribution and evolution of mining stress field can be analyzed, but the model complexity and computational requirements increase
Solution Approach 1:
The patent divides the complex mine system into multiple manageable segments within the digital twin model, including different mining areas, time periods, and stress field zones. This segmentation allows the large-scale full time-space model to be constructed from smaller, more manageable computational units, reducing overall model complexity while maintaining comprehensive information coverage.
Solution Approach 2:
The digital twin model is designed as a universal platform that serves multiple functions: it simulates stress field evolution, analyzes distribution patterns, predicts outburst risks, and provides training scenarios. By making the model multi-functional, the patent reduces the need for separate specialized models, thereby managing computational requirements while maintaining complete stress field information analysis capabilities.
Data Source
AI summary
The present invention relates to a mine stress field twin modeling assimilation system for a full space-time mining process, and a method, and belongs to the technical field of digital twin assimilation inversion. The system comprises a digital model unit, a physical model unit and a human-computer interaction unit. The digital model unit is provided with an equal-proportion three-dimensional geological model, a mine historical assimilation model and a trusted digital twin model; the physical model unit covers a stratum and a mining face tunnel system, and the human-computer interaction unit has an information database and a software simulation monitoring interface. By means of a software establishment model, assimilation technology optimization model operation and a digital twin technology interconnection physical entity and virtual model, the present invention is able to construct a mine in-situ stress field twin model aimed at a full space-time mining process and better approximating reality, and is likewise able to use real physical scene monitoring data to perform simulated pre-mining in a virtual spatial model, aimed at grasping the space-time evolution laws of stress fields in the mining process, and providing guidance for safe mining production.