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- W2374927756 abstract "Land subsidence tends to change slowly and multifariously on a large scale. Current monitoring methods, including traditional techniques(e.g., geometrical leveling, bedrock marking, and layerwise marking), interferometric synthetic aperture radar(InSAR) analysis, and GPS mapping, all have drawbacks in that they may be non-continuous, low resolution, low accuracy, or not suited to high dynamic, and so cannot meet the development requirements for very accurate and long-term autonomous monitoring. The Internet of Things, combined with widely distributed optical fiber networks, combines the efficient collection and transmission of information, has the characteristics of 1D continuous sensing along with the fiber link, transmitting the external signs, without external power supply and no blind monitoring field. Therefore, it provides a new approach to the long-term autonomous monitoring of large-scale land subsidence. Through detailed analysis of several typical kinds of land subsidence, this article proposes a system based on the Internet of Things, fiber optic networks, big data, and cloud computing. This system would be able to monitor changes in temperature and strain produced by land subsidence, and upload the continuous monitoring data to the cloud. In addition, the system could be used to identify the mechanisms and rules that govern land subsidence using detailed analysis and data mining, and then to provide early warnings of likely land subsidence over a wide area." @default.
- W2374927756 created "2016-06-24" @default.
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- W2374927756 date "2014-01-01" @default.
- W2374927756 modified "2023-09-28" @default.
- W2374927756 title "Long-term autonomous land subsidence monitoring using the internet of things based on the distributed optical fiber" @default.
- W2374927756 hasPublicationYear "2014" @default.
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