摘要
针对目前边坡监测存在的时效性差、数据散乱、影响施工等问题,将物联网技术引入边坡监测中,探讨了基于物联网的监测信息采集和传输的方法。以监测信息为研究对象,以动态的评价指标体系为基础,结合层次分析法和模糊数学理论,建立边坡稳定性综合评价模型。利用C#编程语言,以SQL Server 2008为数据库平台,开发了边坡稳定评价系统,并将该系统应用于实际工程,分析结果符合实际情况。
For solving the problems of poor timeliness, scattered data and afl＇ecting construction existing in current slope monitoring, the Internet of Things technology （lOT） is introduced in slope monitoring to study the data collection and transmission methods. A fuzzy comprehensive model for analyzing monitoring information is established with the foundation of dynamic index system and combining AHP with fuzzy mathematics theory. Based on Microsoft C # and SQL Server 2008 database, the system of slope stability evaluation is developed. The application of system in actual project shows that the analysis result is in line with actual situation.
出处
《水力发电》
北大核心
2015年第12期36-39,84,共5页
Water Power
基金
国家自然科学基金创新研究群体科学基金(51321065)
天津市应用基础与前沿技术研究计划项目(13JCYBJC19400)
河海大学水文水资源与水利工程科学国家重点实验室开放基金(2014491211)
关键词
边坡工程
物联网
系统开发
监测信息
模糊综合评价
AHP
slope engineering
the Internet of things
system development
monitoring information
fuzzy comprehensiveevaluation
AHP
