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Research on the Application of Drone Full Airborne Transient Electromagnetic Technology in Goaf Detection
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Abstract
The drone-borne airborne transient electromagnetic system is characterized by high efficiency, convenient deployment, and strong adaptability, demonstrating broad application prospects in the fine detection of hidden hazards such as goafs. This paper presents the first application of drone-borne airborne transient electromagnetic technology to the detailed detection of underground goafs. First, the world's first drone-borne airborne transient electromagnetic system and its data-processing methods are introduced. Terrain-following flight planning technology is adopted to ensure flight safety and signal quality, while high-performance server parallel computing technology is employed to enhance inversion efficiency. Subsequently, an application analysis of the drone-borne airborne transient electromagnetic system for underground goaf detection is conducted. Based on known data and detection results, it is concluded that there are 10 unfilled goafs or fault fracture zones and 6 fissures or water-bearing fracture zones. The detection results exhibit high anomaly resolution, high field implementation efficiency, and clearly visible details in low-resistivity anomalies. This research provides a novel method and technology for risk assessment of hidden hazards, such as goafs, and for the rapid, efficient, and detailed exploration of mineral resources.
Springer Science and Business Media LLC
Title: Research on the Application of Drone Full Airborne Transient Electromagnetic Technology in Goaf Detection
Description:
Abstract
The drone-borne airborne transient electromagnetic system is characterized by high efficiency, convenient deployment, and strong adaptability, demonstrating broad application prospects in the fine detection of hidden hazards such as goafs.
This paper presents the first application of drone-borne airborne transient electromagnetic technology to the detailed detection of underground goafs.
First, the world's first drone-borne airborne transient electromagnetic system and its data-processing methods are introduced.
Terrain-following flight planning technology is adopted to ensure flight safety and signal quality, while high-performance server parallel computing technology is employed to enhance inversion efficiency.
Subsequently, an application analysis of the drone-borne airborne transient electromagnetic system for underground goaf detection is conducted.
Based on known data and detection results, it is concluded that there are 10 unfilled goafs or fault fracture zones and 6 fissures or water-bearing fracture zones.
The detection results exhibit high anomaly resolution, high field implementation efficiency, and clearly visible details in low-resistivity anomalies.
This research provides a novel method and technology for risk assessment of hidden hazards, such as goafs, and for the rapid, efficient, and detailed exploration of mineral resources.
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