Real-time quantitative characterization method, equipment and medium for rock mass evolution
US12385897B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2025 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Mar 27, 2045 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/30
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A real-time quantitative characterization method, equipment and a medium for rock mass evolution are disclosed. The method includes: the multiphase field detection and monitoring data is fused; a deep learning model driven by physical principles is established based on the physical principles of fluid density; the deep learning model is trained using real-time fused data as input and corresponding evolution distribution images as output; a trained deep learning model is used to obtain an evolution distribution image based on multi-phase field detection and monitoring data of different time periods and types; a mathematical model is used to quantitatively characterize of physical and mechanical parameters in the whole process of progressive failure of the dynamic evolution of the rock mass based on the macroscopic mechanical parameters and evolution distribution images synchronized with multiphase field detection and monitoring data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.