Abstract
<p class="0abstract"><span lang="EN-US">T</span><span lang="EN-US">o improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope </span><span lang="EN-US">wa</span><span lang="EN-US">s studied. A multi parameter remote monitoring system based on the technology of Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s proposed.</span><span lang="EN-US">By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, </span><span lang="EN-US">we</span><span lang="EN-US">re collected.</span><span lang="EN-US">Through the Internet of things technology, the key data </span><span lang="EN-US">we</span><span lang="EN-US">re transmitted to the monitoring room. The wireless transmission of the monitoring data </span><span lang="EN-US">wa</span><span lang="EN-US">s completed. Using information fusion technology, database management and Web service, the monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re classified and managed.</span><span lang="EN-US">Through the data analysis, the reliability theory </span><span lang="EN-US">wa</span><span lang="EN-US">s used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s verified.</span><span lang="EN-US">The results show</span><span lang="EN-US">ed</span><span lang="EN-US"> that the stability of the slope </span><span lang="EN-US">wa</span><span lang="EN-US">s influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re important for slope prediction. T</span><span lang="EN-US">o sum up, t</span><span lang="EN-US">he reliability theory is more suitable for the stability analysis of the local slope and the section.</span></p>
Publisher
International Association of Online Engineering (IAOE)
Cited by
8 articles.
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