Power transmission tower power transmission line galloping monitoring system

Through the multi-source data fusion and physical constraint modeling, the transmission tower transmission line dance monitoring system solves the problems of insufficient prediction accuracy and high false alarm rate in the existing technology, and accurately predict and dynamic early warning of transmission line dance to ensure the safety of the power grid.

CN120355234APending Publication Date: 2025-07-22LIANSHAN POWER SUPPLY COMPANY OF STATE GRID SICHUAN ELECTRIC POWER
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Patent Information

Application Number
CN202510499686.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-21
Publication Date
2025-07-22

AI Technical Summary

Technical Problem

The existing transmission line dance monitoring system relies on a single sensor data and static experience thresholds, making it difficult to capture the nonlinear coupling relationship between meteorological parameters and wire dynamic parameters, resulting in insufficient prediction accuracy, and the fixed early warning threshold cannot adapt to line aging and material fatigue, and the false alarm rate and missed rate are high.

Method used

The monitoring system adopts multi-source data fusion and physical constraint modeling, including data acquisition, processing, intelligent prediction and human-computer interaction modules, collects three-dimensional meteorological data in real time, predicts through a hybrid architecture of LSTM network, random forest regressor and physical equation constraints, dynamically adjusts the early warning threshold, and combines the intervention of operation and maintenance personnel.

Benefits of technology

It significantly improves the accuracy of dance prediction and early warning sensitivity, can accurately identify multimodal vibration patterns under extreme conditions, reduce false alarm rates and missed alarm rates, provide multi-dimensional decision support, and ensure line safety.

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Abstract

The invention belongs to the technical field of power transmission line monitoring, and discloses a power transmission tower power transmission line galloping monitoring system which comprises a data acquisition module, a data processing module, an intelligent prediction module, an early warning response module and a man-machine interaction module. The galloping prediction precision is improved through multi-source data fusion and physical constraint modeling, a mixed architecture of time sequence analysis and dynamic characteristic fusion is adopted, complex correlation characteristics of meteorological parameters and conductor dynamic behaviors are effectively captured, an intelligent prediction model is optimized in combination with physical equation constraints, and the galloping prediction accuracy is improved. The physical rationality and extreme scene adaptability of a prediction result are obviously enhanced; the line state change is adapted in real time based on a dynamic threshold adjustment mechanism, and the early warning sensitivity and reliability are optimized; through spatio-temporal feature alignment and a multi-mode galloping mode identification technology, a composite vibration form is accurately analyzed, medium and long term trend pre-judgment and short-time risk early warning are synchronously realized, and a multi-dimensional decision support is provided for line safety regulation and control.
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