摘要
为提高滑坡灾害远程监测的实时性和预警预报的高效性,结合GPRS网络传输效率高、信号强而稳定的优点,在传统的滑坡灾害远程监控系统的基础上,设计了一种基于GPRS和支持向量回归机(SVR)的滑坡灾害远程监测预警预报系统。该系统设计了稳定模式、滑坡模式、软化压入模式和振动扰动模式4种预警模式,预报方法采用SVR进行滑动力滚动预测。工程实践结果表明,该系统可以有效提高滑坡监测数据的传输稳定性和效率,并实现滑坡灾害预警预报自动化。
In order to improve the real-time remote monitoring of landslide disaster and the efficiency of early warning and prediction,combined with the advantages of high transmission efficiency and strong and stable signal of GPRS network,a remote monitoring and early warning and prediction system of landslide disaster based on GPRS and support vector regression machine(SVR)was designed on the basis of traditional remote monitoring system of landslide disaster.In this system,four warning modes are designed,including stable mode,landslide mode,softening pressure mode and vibration disturbance mode.SVR is used to predict sliding dynamic rolling.The results of engineering practice show that the system can effectively improve the transmission stability and the efficiency of landslide disaster monitoring data,and realize the automation of landslide disaster warning and prediction.
作者
李宏俊
赵雪琼
孙瑜
LI Hongjun;ZHAO Xueqiong;SUN Yu(School of Construction Engineering, Yunnan Land and Resources Vocational College, Kunming 652501, China;Sichuan Institute of Nuclear Geology, Chengdu 610052, China)
出处
《微型电脑应用》
2021年第6期27-30,共4页
Microcomputer Applications
基金
云南省教育厅科学研究基金项目(2020J0968)。
关键词
滑坡预报
GPRS网络
远程监测
支持向量回归机
滑动力
landslide forecast
GPRS network
remote monitoring
support vector regression machine
slip power
