摘要
针对地质灾害预警问题,结合物联网技术提出一种实时地质灾害预警系统。为实现该系统,在分析系统整体业务流程的基础上,对系统的整体架构进行设计,并提出通过综合参数法、Logistic回归分析法、主成分分析法等构建地质灾害预测模型。最后,通过测试对上述系统进行验证。结果表明,上述方案可很好的实现对地质灾害预警。
Aiming at the problem of geological disaster early warning,a real-time geological disaster early warning system is proposed based on Internet of things technology.In order to realize the system,based on the analysis of the overall business process of the system,the overall architecture of the system is designed,and the geological disaster prediction model is proposed by using the comprehensive parameter method,Logistic regression analysis method,principal component analysis method,etc.Finally,the above system is verified by testing.The results show that the scheme can well realize the early warning of geological disasters.
作者
张吉宁
薄勇
刘洋洲
龙建辉
张红
Zhang Ji ning;Bo Yong;Liu Yangzhou;Long Jianhui;Zhang Hong(Shanxi Metallurgical Rock-Soil Engineering Investation Co.,Ltd.,Taiyuan 030002,China;Taiyuan University of Technology,Taiyuan 030024,China;The Third Geological Exploration Institute Of China Metallurgical Geology Bureau,Taiyuan 030002,China)
出处
《粘接》
CAS
2021年第10期86-89,97,共5页
Adhesion
基金
山西省自然科学基金项目(201801D121033)。
关键词
物联网
地质灾害
回归模型
灾害预测
Internet of things
geological hazard
regression model
disaster prediction
