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首页> 外文期刊>Arabian journal of geosciences >Geological disaster monitoring and early warning system based on big data analysis
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Geological disaster monitoring and early warning system based on big data analysis

机译：基于大数据分析的地质灾害监测及预警系统

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摘要

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 multi-dimensional 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.
机译：现有地质灾害监测和预警系统具有大监测误差和低准确性的问题。本文设计了基于大数据分析的地质灾害监测和预警系统。地质灾害监测网络模块通过传感器实时监测地质变形和灾害诱导因子，并通过北斗卫星通信技术将它们传输到多维异构监控数据集成模块中的大容量数据远程无线传输网络模块。该模块采用基于D-S证据理论和模糊数学的多传感器数据融合算法，实现了地质多维异构监测数据的集成。然后，它使用基于云计算的地质异常数据挖掘方法来挖掘异常地质信息并将其传输到预警信息释放模块。地质灾害警告信息将以文本消息和电子邮件的形式发布。通过验证，该系统在不同类型地质灾害的监测和预警中具有高精度，并为地质灾害的及时和科学部署提供了基础。

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