Construction and key technologies of surveying and mapping geographic information big data platform
测绘地理信息大数据平台的建设与关键技术

摘要

测绘地理信息大数据平台是推动智慧城市建设与地理空间信息服务升级的重要支撑。本文围绕测绘地理信息大数据平台的建设路径与关键技术展开研究，提出以数据整合、高效存储、智能分析与服务共享为核心的技术体系，系统探讨平台在多源异构数据处理、实时分析能力及安全保障等方面的关键技术难点与解决方案，旨在提升地理信息数据的利用效率与服务能力。通过构建开放、协同、智能的地理信息大数据平台，为政府决策、行业应用及公众服务提供坚实的数据支撑和技术保障。

Abstract

The surveying and mapping geographic information big data platform serves as an important support for promoting the construction of smart cities and the upgrading of geospatial information services. This paper focuses on the construction path and key technologies of the surveying and mapping geographic information big data platform, proposing a technical system centered on data integration, efficient storage, intelligent analysis, and service sharing. It systematically discusses the key technical challenges and solutions of the platform in aspects such as multi-source heterogeneous data processing, real-time analysis capabilities, and security protection, aiming to improve the utilization efficiency and service capabilities of geographic information data. By constructing an open, collaborative, and intelligent geographic information big data platform, it provides solid data support and technical guarantees for government decision-making, industry applications, and public services.