Study on dynamic monitoring system of high slope based on the internet of things

Autor: Yu Zhang, Guoren Zhu, Huang He, Zhang Xiaosong, Yangfan Huang, Wu Qingchen, Zongling Yan
Rok vydání: 2016
Předmět:
Zdroj: 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
DOI: 10.1109/icccbda.2016.7529592
Popis: Based on internet of things and communication technology, this paper puts forward the overall architecture of dynamic monitoring system in the high slope and monitoring equipment technology system. High slope monitoring project in Southwest mountain was set an example to propose the dynamic monitoring scheme of the high slope. On the basis of long-term monitoring data, studying the prediction model, early warning indicators and the slope deformation mechanism of slope monitoring technology for guiding to design and construction of high slope, while warning the trend of slope stability.
Databáze: OpenAIRE