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机构地区:[1]湖南省水利水电科学研究所,湖南长沙410007
出 处:《水利水电技术》2015年第10期38-42,共5页Water Resources and Hydropower Engineering
基 金:长江科学院开放研究基金资助项目(项目编号:CKWV2012311/KY)
摘 要:针对当前大坝安全监测系统的发展现状,以及我国大坝安全监测系统的设备化、网络化、智能化程度低、系统稳定性差、数据传输滞后和数据丢失等缺陷,提出了基于物联网模式的水库大坝安全监测智能机系统设计。该系统综合应用无线传感器网络技术、嵌入式计算机技术、射频识别技术、有线(无线)数据通信技术、电子与信息技术、水工技术,以此集数据采集、数据传输、数据存储及处理、电源管理、数据显示等功能于一体。将智能机系统应用在湖南省大坝安全实际监测中,结果表明:该系统在稳定性、可靠性、实时性、准确性等方面都满足了设计要求,且其网络畅通率大于95%,数据完整率大于98%。Aiming at the developing status of the dam safety monitoring system at present and the defects of the lower levels of equipmentization, networkization and intellectualization, poor system stability, lagged data transmission and data loss, etc. of the dam safety monitoring system in China, the design of an internet of things based-intelligent machine system for dam safety monito- ring is proposed herein. This system congregates the applications of all the technologies, such as wireless sensor networks, em- bedded computer, radio frequency identification, wired(wireless) data communication, electronics and information as well as hy- draulics, and then the functions of data acquisition, data transmission, data storage and processing, power management, data display, etc. are integrated together. This intelligent machine system is applied to the actual dam safety monitoring in Hunan Province and the result shows that the system can meet the design requirements in all the aspects of stability, reliability, real-tim- ing, accuracy, etc. with the normal operation rate of network of over 95% and the data integrity rate of over 98%.
分 类 号:TV697.1[水利工程—水利水电工程]
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