Method for predicting icing thickness of power transmission line

By integrating micro-meteorological and micro-topographic factors, constructing a spatial database of ice samples and adopting the AdaBoost model, the problem of inaccurate ice thickness prediction on transmission lines was solved, and higher-precision ice thickness prediction and monitoring network optimization were achieved.

CN120745331AInactive Publication Date: 2025-10-03四川电力设计咨询有限责任公司
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Patent Information

Application Number
CN202511186985.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-25
Publication Date
2025-10-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing technologies fail to fully consider the impact of icing-prone micro-topography in the design and operation of transmission lines, resulting in inaccurate predictions of ice thickness and increasing the risk of line accidents.

Method used

By integrating the micro-meteorological and micro-topographic factors of ice observation data, using NLP natural language processing methods to clean the ice cover data, combining high-precision digital elevation models and regular grid DEM to extract micro-topography types, constructing an ice cover sample spatial database, and using the AdaBoost model to predict ice cover thickness, and using spatial interpolation algorithms to fill in missing data.

Benefits of technology

It significantly improves the accuracy and reliability of ice thickness prediction, provides a scientific basis for the selection of ice monitoring points and the guidance of equipment layout, avoids waste of resources, and improves the representativeness and efficiency of the monitoring network.

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Abstract

The invention relates to a power transmission line icing thickness prediction method, and belongs to the technical field of meteorological geographic information. The method comprises the following steps: collecting regional meteorological observation data, manual and online icing monitoring data, power transmission line data and a regional high-precision digital elevation model; extracting icing parameters; on the basis of DEM data, a regular grid DEM is adopted to extract a basin boundary algorithm, and micro-terrain types of a power transmission line area are finely divided; extracting topographic factors of the observation points; performing spatial overlay analysis on the icing parameters, the micro-terrain types and the terrain factors, and constructing an icing sample spatial database; dividing a training set and a test set, training and optimizing by adopting an AdaBoost regression model, iteratively updating a sample weight and a weak regression device weight by minimizing a weighted mean square error, and finally integrating a strong regression device as an icing thickness prediction model. According to the method, the prediction precision is remarkably improved by fusing the micro-topography, the micro-meteorology and the icing parameters, and a scientific basis is provided for anti-icing design and monitoring layout of the power transmission line.
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Citation Information

Patent Citations

  • Method for extracting terrain categories based on geographic information system

    CN111738104A

  • Power transmission line easy-icing micro-terrain classification method

    CN113688903A

  • Method and device for identifying microtopography type, terminal equipment and storage medium

    CN113762083A

  • Construction method and device of power transmission line icing thickness prediction model, and storage medium

    CN113821895A

  • Regional icing thickness distribution estimation method based on multi-source data

    CN115062860A

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