High terrestrial heat exploitation ground subsidence data monitoring method and device

By integrating multi-source data and using intelligent algorithms, a long short-term memory network and gradient boosting decision tree model were constructed. This solved the problems of accuracy and early warning lag in ground subsidence monitoring during high geothermal extraction, achieving high-precision subsidence monitoring and timely early warning, and supporting the safe and sustainable development of high geothermal extraction.

CN121230686AActive Publication Date: 2025-12-30CHINA UNIV OF MINING & TECH
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Patent Information

Application Number
CN202511541895.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-27
Publication Date
2025-12-30
Estimated Expiration
2045-10-27

AI Technical Summary

Technical Problem

Existing technologies are insufficient for high-frequency, high-precision ground subsidence monitoring. In particular, during high geothermal extraction, traditional methods cannot effectively capture nonlinear characteristics and long-term dynamic trends, resulting in limited monitoring accuracy and delayed anomaly warnings, which cannot meet the refined monitoring needs of high geothermal extraction areas.

Method used

A multi-source data fusion method is adopted. By deploying GNSS, InSAR corner reflectors, leveling and groundwater level monitoring points, a long short-term memory network and gradient boosting decision tree model are constructed. Combined with the attention mechanism, the weights of multi-source data are dynamically balanced to achieve high-precision settlement fusion, and time-space feature analysis and anomaly early warning are performed.

Benefits of technology

It improves the accuracy and reliability of monitoring, enables timely identification of subsidence anomalies, provides a precise early warning mechanism, reduces the risk of geological disasters, and supports the safe and sustainable development of high geothermal extraction.

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Abstract

The invention provides a high geothermal exploitation land subsidence data monitoring method and device. The method comprises the following steps that S1, a monitoring area is determined, and monitoring points are arranged; s2, corresponding monitoring devices are installed at the monitoring points and debugged; s3, collecting multi-source original data; s4, preprocessing the multi-source original data; s5, constructing a collaborative fusion model of the long short-term memory network and the gradient boosting decision tree, and outputting a final fusion settlement amount; and S6, carrying out time sequence analysis, spatial distribution analysis and anomaly judgment. Through the full-process design of multi-source data acquisition, intelligent fusion modeling and dynamic analysis early warning, high-precision and dynamic settlement monitoring is achieved, the problems of precision limitation and response lag of a traditional monitoring method are solved, and key technical support is provided for safe and sustainable development of high geothermal resources.
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