Research on lightning strike warning model of transmission line tower based on machine learning

doi:10.12306/2023jms.0026

首頁 > 過刊瀏覽>2025年第45卷第3期 >454-460. DOI:10.12306/2023jms.0026

基于機(jī)器學(xué)習(xí)的輸電線路桿塔雷擊預(yù)警模型研究
DOI:
                        10.12306/2023jms.0026
                    
CSTR:
                        
                    
作者:
                        
                        
                    
作者單位:
作者簡介:
通訊作者:
中圖分類號:TP212
基金項(xiàng)目:國家電網(wǎng)有限公司總部科技資助項(xiàng)目(5217L0190009)

Research on lightning strike warning model of transmission line tower based on machine learning

Author:

Affiliation:

Fund Project:

摘要

圖/表

訪問統(tǒng)計(jì)

參考文獻(xiàn)

相似文獻(xiàn)

引證文獻(xiàn)

資源附件

文章評論

摘要:

本文在機(jī)器學(xué)習(xí)的基礎(chǔ)上建立輸電線路桿塔雷擊預(yù)警模型。根據(jù)拉依達(dá)準(zhǔn)則剔除傳感器采集雷電數(shù)據(jù)中的壞值。采用平均值填充法填充缺失雷電數(shù)據(jù),并利用機(jī)器學(xué)習(xí)的二次曲線指數(shù)平滑法對雷電數(shù)據(jù)展開平滑處理,提高雷電數(shù)據(jù)質(zhì)量,為實(shí)現(xiàn)高可信度的雷擊預(yù)警奠定數(shù)據(jù)基礎(chǔ)。根據(jù)地閃密度和雷擊跳閘率劃分雷擊風(fēng)險(xiǎn)等級,并在層次分析法的基礎(chǔ)上確定權(quán)重,建立輸電線路桿塔雷擊預(yù)警模型。以雷擊造成的電流、電壓數(shù)據(jù)異常為指標(biāo)進(jìn)行實(shí)驗(yàn)測試,結(jié)果表明所提方法的電流、電壓檢測精度高,可準(zhǔn)確預(yù)測雷擊引起的電流、電壓異常波動,預(yù)警可信度高。

Abstract:

This article establishes a lightning strike warning model for transmission line towers based on machine learning. Eliminate bad values in lightning data collected by sensors according to the Laida criterion. Using the average filling method to fill in missing lightning data, and using the machine learning quadratic curve exponential smoothing method to smooth the lightning data, improving the quality of lightning data and laying the data foundation for achieving high reliability lightning warning. Divide lightning risk levels based on ground flash density and lightning trip rate, and determine weights based on Analytic Hierarchy Process to establish a lightning warning model for transmission line towers. Experimental tests were conducted using the abnormal current and voltage data caused by lightning strikes as indicators. Results showed that the proposed method has high detection accuracy for current and voltage, can accurately predict the abnormal fluctuations of current and voltage caused by lightning strikes, and has high warning credibility.

參考文獻(xiàn)

相似文獻(xiàn)

引證文獻(xiàn)

引用本文

吳凱檳,張?jiān)品?岳萌萌,洪亮.基于機(jī)器學(xué)習(xí)的輸電線路桿塔雷擊預(yù)警模型研究.氣象科學(xué),2025,45(3):454-460 WU Kaibin, ZHANG Yunfeng, YUE Mengmeng, HONG Liang. Research on lightning strike warning model of transmission line tower based on machine learning. Journal of the Meteorological Sciences,2025,45(3):454-460

復(fù)制

文章指標(biāo)

點(diǎn)擊次數(shù):
下載次數(shù):
HTML閱讀次數(shù):
引用次數(shù):

歷史

收稿日期:2023-01-29
最后修改日期:2023-04-12
錄用日期:
在線發(fā)布日期: 2025-08-30
出版日期:

文章二維碼

您是第位訪問者
氣象科學(xué) ® 2026 版權(quán)所有
技術(shù)支持：北京勤云科技發(fā)展有限公司

抽查舔水白紧大视频,冲喜娘子超甜哒激情五月,亚洲黄色图片偷拍网站,亚洲三级黄片免费播放,91在线观看喷潮红桃,日韩精品在线观看一区二区,久久久久久久久久久久黄色片子,日产精品99久久久久久久久,欧洲亚洲另类图片小说

引用本文

分享

相關(guān)視頻

文章指標(biāo)

歷史

文章二維碼

抽查舔水白紧大视频,冲喜娘子超甜哒 激情五月,亚洲黄色图片偷拍网站,亚洲三级黄片免费播放,91在线观看喷潮红桃,日韩精品在线观看一区二区,久久久久久久久久久久黄色片子,日产精品99久久久久久久久,欧洲亚洲另类图片小说

引用本文

分享

相關(guān)視頻

文章指標(biāo)

歷史

文章二維碼

抽查舔水白紧大视频,冲喜娘子超甜哒激情五月,亚洲黄色图片偷拍网站,亚洲三级黄片免费播放,91在线观看喷潮红桃,日韩精品在线观看一区二区,久久久久久久久久久久黄色片子,日产精品99久久久久久久久,欧洲亚洲另类图片小说