Detection method for construction of electrical prospecting instrument in karst landform
High-density electrical exploration with data preprocessing and geologic model-based error correction addresses the challenges of existing geomechanical detection methods, providing a reliable and efficient means to identify karst geomechanical features with improved accuracy and reduced complexity.
Patent Information
- Application Number
- CN202411839585.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-03-28
AI Technical Summary
Existing methods for geomechanical construction detection, such as those using three-dimensional laser scanning and semantic segmentation models, face challenges including sensitivity to weather conditions, high data processing complexity, and motion errors, as well as the need for extensive and costly pixel-level annotation for accurate target recognition in diverse and complex terrain.
The proposed method employs high-density electrical exploration with a sequence of steps including data preprocessing, geoelectric section graph generation, visualization of resistivity images, and error correction using geologic models and algorithms like Copula functions to identify high and low resistivity regions, thereby providing a reliable and efficient detection of geomechanical features.
This approach simplifies the detection process, enhances accuracy, and reduces data processing complexity, offering a cost-effective and reliable method for identifying geomechanical features in complex terrain like karst regions with minimal equipment damage and high precision.