Design and Implementation of Cloud Platform for Landslide Monitoring and Early Warning in Karst Mountainous Area

CHEN Lei; LI Bin; PENG Cheng; BI Xiao-wei; YANG Cheng-sheng

doi:10.11988/ckyyb.20210469

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (6) : 138-144. DOI: 10.11988/ckyyb.20210469

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Design and Implementation of Cloud Platform for Landslide Monitoring and Early Warning in Karst Mountainous Area

CHEN Lei, LI Bin, PENG Cheng, BI Xiao-wei, YANG Cheng-sheng

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Abstract

The landslide monitoring data in the karst mountainous area in southwest China is featured with large amount, various type, and complex sources, hence is difficult to be integrated and analyzed. A cloud platform prototype system for landslide monitoring and early warning for karst mountainous area is designed and implemented using WebGIS based on Hadoop for data storage and calculation. First, the universal cloud platform architecture for the integrated management of multiple monitoring data is designed; in subsequence, an application-oriented cloud platform is built based on campus big data platform and network development technology; finally, the basic function modules for landslide monitoring and early warning are realized and verified based on the prototype platform. The prototype platform and its test results manifest that the construction idea and technical route of the cloud platform for karst landslide monitoring and early warning are reasonable and feasible, offering an effective approach and platform support for exploring landslide informatization and monitoring and early warning of karst landslide geological disasters.

Key words

landslide monitoring / landslide early-warning / Hadoop / cloud platform / karst mountainous area

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CHEN Lei, LI Bin, PENG Cheng, BI Xiao-wei, YANG Cheng-sheng. Design and Implementation of Cloud Platform for Landslide Monitoring and Early Warning in Karst Mountainous Area[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(6): 138-144 https://doi.org/10.11988/ckyyb.20210469

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