摘要
基于库岸滑坡监测预警这一难题,本文提出了一种基于物联网技术的库岸自动化监测系。该系统的实现主要依赖于分布式的实时采集系统和最优BP神经网络预测模型的构建,基于此,本文首选对监测方案的设计和BP神经网路模型进行了介绍,然后分别对本方案的硬件设计和软件设计进行和分析,最后通过滑坡实验对该系统的有效性进行验证,实验证明了该系统具有预测结果准确率高、实时性强、灵活等特点。
Based on the bank landslide monitoring and early warning of this problem,we propose BANK automatic monitoring system based networking technology.Implementation of the system depends on the system to build distributed real-time acquisition and optimal BP neural network predictive model,based on this,the paper of choice for design and BP neural network model monitoring programs were introduced,and then separately for the program hardware design and software design and analysis,and finally verified by experiments landslide effectiveness of the system,the system has proved the prediction accuracy rate,real-time,flexible features.
出处
《自动化与仪器仪表》
2016年第10期129-130,共2页
Automation & Instrumentation
基金
陕北神府矿区地质灾害发育特征及其成灾机理研究"省级自然类科研项目"(15JK1166)
关键词
自动化监测系统
库岸滑坡
物联网技术
automatic monitoring system
bank landslide
networking technology
