In order to support the dynamic perception neural network of underground space and the intelligent brain of the city, according to the characteristics of multi-source, multi-category, multidimensional and multi-quantity of geological data, this paper studies the large data storage system which integrates multi-source acquisition and converged storage and intelligent processing to solve the problems of wide range, long time, multidimensional source and diverse processing of underground space information. This system promotes the combination of sensor network, big data and other technologies with the urban underground space perception industry, realizes the digitalization and intellectualization of various underground space information, improves the planning, risk assessment and disaster prediction of underground space, and provides support for the comprehensive development and utilization of underground space.
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