A method and system for identifying hidden dangers in the foundation of power transmission towers
By constructing a unified spatiotemporal benchmark for the entire tower base area, simultaneously collecting multi-source data and inverting soil deterioration parameters, the problem of high-precision identification and dynamic prediction of hidden dangers in transmission tower bases was solved, realizing the quantitative identification and classification of hidden dangers, and improving the identification accuracy and engineering practicality.
CN121881763BActive Publication Date: 2026-05-26POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD
- Filing Date
- 2026-03-23
- Publication Date
- 2026-05-26
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Figure CN121881763B_ABST
Abstract
This invention provides a method and system for identifying hidden dangers in the foundation of power transmission towers. It constructs a unified spatiotemporal benchmark across the entire tower foundation domain, synchronously collects and preprocesses multi-source foundation data related to tower foundation safety, extracts quantitative features relating to apparent defects in the tower foundation and the mechanical relationship of soil deterioration, and completes spatial distribution characterization. Using defect features as boundary constraints and the tower's dynamic response as the fitting target, it inverts to obtain a three-dimensional distribution field of soil deterioration parameters around the tower. By coupling tower foundation design with actual operating loads, it quantifies load-bearing attenuation and completes the classification of hidden dangers. This addresses the pain points of existing technologies, such as the disconnect between apparent and internal hidden dangers, the inability of static identification to predict dynamic evolution, and the lack of quantitative basis for hazard judgment, thus improving the accuracy of hidden danger identification and its engineering practicality.
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Citation Information
Patent Citations
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