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DESIGN AND IMPLEMENTATION OF A REAL-TIME SLOPE MONITORING SYSTEM BASED ON UBIQUITOUS SENSOR NETWORK

机译:基于普遍传感器网络的实时坡度监测系统的设计与实现

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The casualties due to slope failures such as landslide, rock fall, debris flow etc. are about 24% in total casualties caused by natural disasters for the last 10 years in Korea. And these slope failures in Korea are focused in the season in which typhoon and torrential rain take place. Not much attention, however, have been put into landslide mitigation research. Meanwhile, USN (Ubiquitous Sensor Network) forms the self-organization network, and transfers the information among sensor nodes that have computing technology ability. Accordingly, USN is embossed a social point technology in Korea. Therefore, a lot of study is progressing about practical use of data which was gathered by sensors. The objective of this paper is to design and implement a real-time slope monitoring system using Ubiquitous Sensor Network (USN) technology. For this we develop module that collects and change slope movement data measured by two tiltmeter and a tension wire, store transferred data in database. Also we develop application program that can easily analyze the data. We apply the prototype system to a test site at KICT for testing and analyzing the system's performance.
机译:由于滑坡,岩石,碎片流量等坡度故障导致的伤亡大约是韩国过去10年的自然灾害造成的总伤亡人数约为24%。韩国的这些斜坡失败都集中在台风和暴雨的季节。然而,没有太多关注,已经投入了滑坡缓解研究。同时,USN(无处不在的传感器网络)形成自组织网络,并传输具有计算技术能力的传感器节点之间的信息。因此,USN在韩国进行了浮雕的社会点技术。因此,大量研究正在进展关于传感器收集的数据的实际使用。本文的目的是使用普遍存在的传感器网络(USN)技术来设计和实施实时坡度监测系统。为此,我们开发模块,该模块收集和更改由两个TILTMETER和张力线测量的斜率移动数据,在数据库中存储传输的数据。我们还开发了可以轻松分析数据的应用程序。我们将原型系统应用于KICT的测试站点,以测试和分析系统的性能。

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