摘要
基于物联网技术的广西地质灾害预警预报系统,结合了轻量化模型技术、Spark空间大数据处理技术、神经网络学习算法等新技术,解决了广西地质灾害监测网络不够完善、智能化水平不高等问题。系统通过3 a运行取得了良好的效果,对于提高突发地质灾害监测预警能力具有重大创新意义。
In this paper,we designed an early warning and forecasting system of geological hazards in Guangxi based on the Internet of Things technology.This system combined with the new technologies such as lightweight model technology,Spark spatial big data processing technology and neural network learning algorithm,and solved the problems of imperfect geological hazard monitoring network and low level of intelligence in Guangxi.The system has achieved good results through three years of operation,which is of great innovative significance for improving the ability of monitoring and early warning of sudden geological disasters.
作者
杨向敏
吴福
陈柏基
YANG Xiangmin;WU Fu;CHEN Baiji
出处
《地理空间信息》
2021年第3期112-114,I0003,共4页
Geospatial Information
基金
广西国土资源厅广西地质环境信息系统(一期)资助项目(GXZC2019-G3-1665-GTZB)。
关键词
地质灾害
预警预报
应用模型
物联网
神经网络
geological hazard
early warning and forecasting
application model
Internet of Things
neural network
