基于多源卫星遥感的电力线沿线地球灾害早期识别研究

Xiaohua Zhang, Hui Wang, Runchi Ji, Wenxiang Xue, Shuyuan Wang
{"title":"基于多源卫星遥感的电力线沿线地球灾害早期识别研究","authors":"Xiaohua Zhang, Hui Wang, Runchi Ji, Wenxiang Xue, Shuyuan Wang","doi":"10.1109/REPE52765.2021.9617099","DOIUrl":null,"url":null,"abstract":"As the voltage level of the power grid continues to increase and the transmission distance increases year by year, ensuring the safety of transmission lines is crucial to economic and social development and residents' production and life. The environment along the transmission line is complicated, and the high-frequency, full-coverage risk assessment along the power line through manual is facing huge challenges, and it is urgent to find a suitable monitoring method. Satellite remote sensing has many advantages such as high measurement accuracy, wide coverage, all-weather, rich data volume and fast update. This article first analyzes the current results of the early identification of landslides, and introduces some of the research results into the early identification of ground disasters on power lines, and provides a way of adding and deleting specific influencing factors. After comprehensive analysis, the research area is confirmed Disaster factors and inducing factors. The data includes optical satellite data, SAR satellite data, DEM data, meteorological data, and geological data. Based on corresponding methods, additional and deleted hazard factors and hazard factors are extracted. During the operation of the risk assessment model, many influencing factors are divided into three calculation modes, and at the same time, the mechanism of the disaster-inducing factors is highlighted to realize the early identification of earth disasters. The analysis results of the disaster points identified by the risk model in this paper are completely consistent with the survey results, indicating that the model constructed in this paper can realize the early targeted identification of the ground disasters along the power line and the construction process is highly operable.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Early Earth Disaster Recognition along Power Line Based on Multi-Source Satellite Remote Sensing\",\"authors\":\"Xiaohua Zhang, Hui Wang, Runchi Ji, Wenxiang Xue, Shuyuan Wang\",\"doi\":\"10.1109/REPE52765.2021.9617099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the voltage level of the power grid continues to increase and the transmission distance increases year by year, ensuring the safety of transmission lines is crucial to economic and social development and residents' production and life. The environment along the transmission line is complicated, and the high-frequency, full-coverage risk assessment along the power line through manual is facing huge challenges, and it is urgent to find a suitable monitoring method. Satellite remote sensing has many advantages such as high measurement accuracy, wide coverage, all-weather, rich data volume and fast update. This article first analyzes the current results of the early identification of landslides, and introduces some of the research results into the early identification of ground disasters on power lines, and provides a way of adding and deleting specific influencing factors. After comprehensive analysis, the research area is confirmed Disaster factors and inducing factors. The data includes optical satellite data, SAR satellite data, DEM data, meteorological data, and geological data. Based on corresponding methods, additional and deleted hazard factors and hazard factors are extracted. During the operation of the risk assessment model, many influencing factors are divided into three calculation modes, and at the same time, the mechanism of the disaster-inducing factors is highlighted to realize the early identification of earth disasters. The analysis results of the disaster points identified by the risk model in this paper are completely consistent with the survey results, indicating that the model constructed in this paper can realize the early targeted identification of the ground disasters along the power line and the construction process is highly operable.\",\"PeriodicalId\":136285,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REPE52765.2021.9617099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE52765.2021.9617099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着电网电压等级的不断提高和输电距离的逐年增加,确保输电线路的安全对经济社会发展和居民生产生活至关重要。输电线路沿线环境复杂,通过人工进行高频、全覆盖的输电线路沿线风险评估面临巨大挑战,迫切需要寻找合适的监测方法。卫星遥感具有测量精度高、覆盖范围广、全天候、数据量丰富、更新快等优点。本文首先对目前滑坡早期识别的成果进行了分析,并将部分研究成果引入到电力线地面灾害早期识别中,并提供了具体影响因素的增减方法。经过综合分析,确定了研究区域的灾害因素和诱发因素。数据包括光学卫星数据、SAR卫星数据、DEM数据、气象数据和地质数据。根据相应的方法,提取了附加和删除的危险因素和危险因素。在风险评估模型运行过程中,将众多影响因素划分为三种计算模式,同时突出致灾因素的机理,实现对地球灾害的早期识别。本文风险模型识别的灾害点分析结果与调查结果完全一致,表明本文构建的模型可以实现对电力沿线地面灾害的早期针对性识别,施工过程可操作性强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research on Early Earth Disaster Recognition along Power Line Based on Multi-Source Satellite Remote Sensing
As the voltage level of the power grid continues to increase and the transmission distance increases year by year, ensuring the safety of transmission lines is crucial to economic and social development and residents' production and life. The environment along the transmission line is complicated, and the high-frequency, full-coverage risk assessment along the power line through manual is facing huge challenges, and it is urgent to find a suitable monitoring method. Satellite remote sensing has many advantages such as high measurement accuracy, wide coverage, all-weather, rich data volume and fast update. This article first analyzes the current results of the early identification of landslides, and introduces some of the research results into the early identification of ground disasters on power lines, and provides a way of adding and deleting specific influencing factors. After comprehensive analysis, the research area is confirmed Disaster factors and inducing factors. The data includes optical satellite data, SAR satellite data, DEM data, meteorological data, and geological data. Based on corresponding methods, additional and deleted hazard factors and hazard factors are extracted. During the operation of the risk assessment model, many influencing factors are divided into three calculation modes, and at the same time, the mechanism of the disaster-inducing factors is highlighted to realize the early identification of earth disasters. The analysis results of the disaster points identified by the risk model in this paper are completely consistent with the survey results, indicating that the model constructed in this paper can realize the early targeted identification of the ground disasters along the power line and the construction process is highly operable.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on the Movement and Partial Discharge Characteristic of Free Metal Particles in GIS Stochastic Modeling of Irradiation, Applied to Investment Decision in a Photovoltaic Project Subject to Regulatory Shortfall Penalty Rules Studies on Diode Effects in Photovoltaic Array under Partial Shading Condition Designing and Controlling Power Management Module for Electro-Dynamic Screens Influence of Basin Insulator on Transmission Characteristics of UHF Signal in GIS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1