A geological big data storage structure construction method and a storage system

By using a distributed geological big data storage structure, the problem of efficient storage and retrieval of inclined serpentine data is solved, enabling efficient data reading, writing, and retrieval, and meeting the needs of efficient visualization and interactive analysis in geological exploration applications.

CN122152813APending Publication Date: 2026-06-05BEIJING URBAN CONSTR EXPLORATION & SURVEYING DESIGN RES INST +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING URBAN CONSTR EXPLORATION & SURVEYING DESIGN RES INST
Filing Date
2026-01-15
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies suffer from loss of hierarchical correlation in tile data and low spatial indexing efficiency when processing tilted serpentine data. This makes it difficult to quickly locate and obtain tile data of a specific spatial range, resolution, or version, and fails to meet the needs of geological exploration applications for efficient visualization, interactive browsing, and analysis of 3D model data.

Method used

Design a distributed geological big data storage structure to achieve efficient and standardized storage and retrieval of tilted serpentine data from the source layer to the application layer through data acquisition, standardization processing, spatial index construction, and semantic enhancement. This includes data verification, format conversion, spatial index table generation, and version identification management.

Benefits of technology

It ensures the consistency and availability of tilted serpentine data during storage and retrieval, meets the needs of efficient reading, writing and retrieval, improves data access efficiency and management standardization, and supports the comprehensive analysis and application of geological big data.

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Abstract

The application provides a geological big data storage structure construction method, comprising: inputting engineering investigation data, regional geological data, groundwater data and three-dimensional geological model data generated by a data acquisition end into a geological big data center for storage; the geological big data center standardizes the engineering investigation data, the regional geological data, the groundwater data and the three-dimensional geological model data and stores them into a structured non-spatial database, a structured spatial database and an unstructured database of the geological big data center; a geological big data service center constructs standard services of the structured non-spatial data, the structured spatial data and the unstructured data and sends them to a data application end. The data big data center standardizes data management, classifies and converts data and stores the data in different areas, so that the purpose of multi-end synchronization and use is achieved.
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