高校地质学报2025，Vol.31Issue(6)：756-768,13.DOI:10.16108/j.issn1006-7493.2025003
面向地质灾害数据的检索技术研究
Research on Retrieval Technology for Geological Disaster Data
摘要
Abstract
China is one of the countries with the most serious geological disasters in the world.Geological disasters occur frequently and are of various kinds.In recent years,the superimposed effects of extreme weather have accelerated the frequency and degree of various geological disasters,resulting in increasingly difficult monitoring and warning,emergency rescue,and post-disaster recovery and reconstruction of various geological disasters.How to introduce new information technology to carry out in-depth analysis and utilization of geological disaster data has become a breakthrough in future geological disaster prevention and control.To carry out the research and analysis of geological disaster data comprehensively and accurately,this paper first analyzes the research background of geological disasters in China and the current development status of retrieval technology.Then,from the perspective of data types and data characteristics,this paper summarizes geological disaster data,systematically introduces three data retrieval technologies,namely the principal component analysis method,convolutional neural network method,and hash method,and takes the"1.22"landslide geological disaster in Zhenxiong,Yunnan in 2024 as an example.The data related to the landslide disaster in the microblog were retrieved and analyzed,and the cluster visualization was displayed.In addition,the research results guided the application and development of retrieval technology in the field of geological disaster prevention and control.Finally,from the aspects of future principal component analysis method improvement,hash method optimization,and limitation of thinking,it is proposed to strengthen the integration of data retrieval technology and geological disaster emergency response so as to continuously meet the needs of massive disaster data on retrieval speed and information processing performance.关键词
地质灾害/数据检索技术/主成分分析/哈希方法/可视化Key words
geological disasters/data retrieval technology/principal component analysis/hash method/visualization分类
天文与地球科学引用本文复制引用
程刚,吴亚熹,王晔,施斌,游钦凉..面向地质灾害数据的检索技术研究[J].高校地质学报,2025,31(6):756-768,13.基金项目
国家自然科学基金资助(42377200) （42377200）
河北省自然科学基金资助(D2022508002) （D2022508002）
河北省研究生教学案例库建设项目(KCJSZ2024115) （KCJSZ2024115）
矿区深部零碳负碳技术教育部工程研究中心开放课题(2023-0014) （2023-0014）
中央高校基本科研业务费专项项目(3142019011)联合资助 （3142019011）
