Geological disaster monitoring and early warning system based on big data analysis
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GMGDA 2019
Geological disaster monitoring and early warning system based on big data analysis Weihua Zhang 1 Received: 21 May 2020 / Accepted: 2 September 2020 # Saudi Society for Geosciences 2020
Abstract The existing geological disaster monitoring and early warning system has the problems of large monitoring errors and low accuracy. This paper designs a geological disaster monitoring and early warning system based on big data analysis. The geological disaster monitoring network module monitors the geological deformation and disaster inducing factors in real time through sensors and transmits them to the large-capacity data remote wireless transmission network module in the multidimensional heterogeneous monitoring data integration module through the Beidou satellite communication technology. This module uses a multi-sensor data fusion algorithm based on the D-S evidence theory and fuzzy mathematics to realize the integration of geological multi-dimensional heterogeneous monitoring data. Then, it uses cloud computing-based geological abnormal data mining method to mine abnormal geological information and transmit it to the early warning information release module. Geological disaster warning information will be released in the form of text messages and emails. Through verification, the system has high accuracy in monitoring and early warning of different types of geological disasters and provides a basis for timely and scientific deployment of geological disasters. Keywords Big data analysis . Geological disaster . Monitoring . Early warning system . Cloud computing
Introduction Informatization has become the general trend of the world economic and social development. Geological disasters are related to human life safety and department decision-making. Therefore, more and more regions have carried out the construction of geological disaster informatization (Wang 2014; Yuan et al. 2016). The geological disaster informatization construction builds a geological disaster data system through the integration of various relevant thematic databases, so as to support the geological disaster prevention and management and evaluation of geological disaster-related business (Seong et al. 2016). At present, all kinds of basic databases and related spatial databases have been basically constructed nationwide. At the same time, the construction of relevant data warehouse This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis * Weihua Zhang [email protected] 1
School of Information and Mechanical and Electrical Engineering, Zhengzhou Business University, Gongyi 451200, China
systems for various geological disaster decision-making has also been carried out, and the information system in the field of geological disasters has been gradually improved (Chen 2016). Geological disaster data contains a large amount of information, with many types, wide range, and complex data types, including attribute data and spatial data (Zhang et al. 2016). In the face of information composed of mu
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