A method for evaluating disaster-prone of power transmission tower based on Gaussian weight function

By adopting an evaluation method based on Gaussian weighting functions, the problems of insufficient pixel representativeness and distance attenuation effect in the assessment of disaster susceptibility of transmission towers were solved. This method enabled accurate assignment and improved stability of multiple types of environmental variables, thereby enhancing the accuracy and application value of the assessment results.

CN122415264APending Publication Date: 2026-07-17ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
Filing Date
2026-04-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for assessing the susceptibility of power transmission towers to disasters suffer from problems such as insufficient pixel representativeness, lack of quantification of distance attenuation effects, poor scene adaptability, and insufficient stability. These issues lead to significant deviations between the assessment results and actual environmental characteristics, affecting the accuracy and reliability of disaster susceptibility assessments.

Method used

An evaluation method based on Gaussian weighting function is adopted. By introducing Gaussian weighting function, the distance decay law of environmental variables is quantified. The core parameters are adaptively adjusted according to the characteristics of different types of environmental variables, so as to achieve accurate and stable assignment of values ​​for multiple types of environmental variables and improve the accuracy and reliability of evaluation results.

Benefits of technology

It effectively avoids assignment bias at grid edges and in areas of sudden environmental changes, quantifies the decay law of the influence of environmental variables, adapts to different regions and data accuracy scenarios, and improves the scientificity and consistency of the evaluation results.

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Abstract

本发明公开了一种基于高斯权重函数的输电杆塔灾害易发性评估方法,该方法包括:获取待评估区域内所有输电杆塔的杆塔位置数据和环境变量数据并进行数据标准化处理,得到预处理后的环境变量数据和杆塔位置数据,按照预设的参数适配规则对环境变量数据进行影响范围半径和高斯函数标准差匹配,得到每种环境变量对应的影响范围半径和高斯函数标准差,根据杆塔位置数据和影响范围半径进行有效像元提取和中心距离计算,根据中心距离和高斯函数标准差计算每个有效像元的权重系数,根据权重系数对相应的输电杆塔进行多类型环境变量赋值,并关联至对应的杆塔位置数据进行灾害易发性评估,得到杆塔灾害易发性评估结果。具有提升评估结果的准确性的效果。
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