基于STM8L的滑坡灾害在线监测预测系统  

Online Monitoring and Prediction System of Landslide DisasterBased on STM8L

作　　者：李璐 张永强 窦婉婷 马媛 王悦[2] 程良 LI Lu;ZHANG Yongqiang;DOU Wanting;MA Yuan;WANG Yue;CHENG Liang(School of Science and Engineering,Xi'an Siyuan University,Xi'an 710038,China;Department of Communication,Xi'an Jiaotong University City College,Xi'an 710018,China)

机构地区：[1]西安思源学院理工学院,西安710038 [2]西安交通大学城市学院传播系,西安710018

出　　处：《微处理机》2023年第4期51-55,共5页Microprocessors

基　　金：陕西省教育厅科研计划资助项目(22JK0515);陕西省自然科学基础研究计划项目(2023-JC-YB-464)。

摘　　要：针对山区滑坡灾害监测系统中传感器布设及网络通讯困难导致系统预测精度低下的问题,基于STM8L,设计一种低功耗的滑坡灾害在线监测预测系统。设计采用群布设分布式传感器采集数据,使用ZigBee组网无线通信技术实现多传感器采集数据的交互式通信及现场终端传输;基于GC-KELM算法对滑坡灾害的成灾因子建模,实现预测功能,达到防灾减灾目的。实际使用效果表明该系统功耗低、监测数据稳定、信息保留效果好,能够准确地对成灾因子进行实时监测,适用于针对山区滑坡灾害的实时监测和预测。Aiming at the problem of low prediction accuracy caused by the difficulty of sensor layout and network communication in landslide disaster monitoring system in mountainous areas,based on STM8L,a low power online landslide disaster monitoring and prediction system is designed.The distributed sen-sors are used to collect data,and the wireless communication technology of ZigBee networking is used to realize the interactive communication of multi-sensor collected data and the field terminal transmission.Based on GC-KELM algorithm,the disaster factors of landslide disaster are modeled,the prediction func-tion is realized,and the purpose of disaster prevention and reduction is achieved.The practical application results show that the system has low power consumption,stable monitoring data and good information retention effect,and can accurately monitor disaster factors in real time,which is suitable for real-time monitoring and prediction of landslide disasters in mountainous areas.

关 键 词：ZigBee组网 STM8L单片机 滑坡预测 KELM算法 超参数优化 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] P642.22[自动化与计算机技术—控制科学与工程]