摘要
为解决传统水库大坝人工监测方法效率低、监测成果存在滞后性等弊端,以物联网传感、云服务等技术方法为基础,设计开发水库大坝自动化监测系统。通过对系统框架结构、多方式通信组网进行设计建设,利用多类型监测子系统获取水库大坝安全监测数据,并通过监测云平台进行数据成果可视化展示。为验证监测系统的可靠性,以某大型水库监测项目为研究对象,对监测系统运行期间的稳定性进行分析验证,并将监测系统数据成果与测区气象站、人工复核数据进行对比分析,全方位验证了水库大坝自动化监测系统的运行稳定性及成果可靠性,为水利工程枢纽动态监测提供了便捷可靠的解决方案。
In order to solve the disadvantages of traditional artificial monitoring methods such as low efficiency and lag of monitoring results,this paper designs and develops an automatic monitoring system for reservoir dams based on technology methods such as Internet of Things sensing and cloud services.Through the design and construction of the system framework structure and multi-mode communication network,the multi-type monitoring subsystem is used to obtain the reservoir dam safety monitoring data,and the data results are visualized through the monitoring cloud platform.In order to verify the reliability of the monitoring system,a large reservoir monitoring project is taken as the research object to analyze and verify the stability of the monitoring system during operation,and the monitoring system data results are compared and analyzed with the meteorological station and manual review data in the measuring area,which comprehensively verifies the operational stability and result reliability of the automatic monitoring system of the reservoir dam.It provides a convenient and reliable solution for dynamic monitoring of hydraulic engineering hub.
作者
陈荣
CHEN Rong(Xiamen City Vocational College,Xiamen 361008,China)
出处
《科技创新与生产力》
2024年第7期119-122,共4页
Sci-tech Innovation and Productivity
基金
厦门城市职业学院云顶科研平台智慧数据监测及分析应用中心科研项目(20106004)。
关键词
水库大坝
自动化监测
云平台
监测子系统
reservoir dam
automatic monitoring
cloud platform
monitoring subsystem
