摘要
随着水利信息化的快速发展,数据资源越来越丰富,数据管理与共享的需求日益迫切,建设水利数据管理与共享平台成为一项十分重要的工作,然而建设一个高效实用的水利数据平台需要多学科人员的配合,工作量大,研发费用高。为解决这一问题,在总结水利数据共享的需求及总体架构的基础上,引入开源数据管理平台CKAN,并利用其开源的优势,提出了基于CKAN的水利数据共享平台技术架构,提出了基于CKAN的多源异构数据实时预览、二三维一体化展示技术、数据管理、数据上传、数据检索和权限管理的实施路径,形成了基于CKAN的水利数据共享平台快速建设方法,降低了搭建水利数据共享平台的难度和投入成本,有助于促进水利数据的共享。
With the rapid development of water conservancy informatization,data resources are becoming increasingly abundant,and the demand for data management and sharing is ever more urgent.The management and sharing platform construction of water conservancy data is an important task.The construction of an efficient and practical water conservancy data platform requires the cooperation of multidisciplinary personnel,with a heavy workload and high research and development costs.To this end,based on summarizing the requirements and overall architecture of water conservancy data sharing,this paper introduces the open source data management platform CKAN and employs its open source advantages to propose the technical architecture of the water conservancy data sharing platform based on CKAN.Meanwhile,the implementation path of CKAN-based multi-source heterogeneous data real-time preview,two-dimensional and three-dimensional integrated display technology,data management,data upload,data retrieval,and authorization management has formed a rapid construction method of water conservancy data sharing platform based on CKAN.This reduces the difficulty and input cost of building the platform and helps promote the sharing of water conservancy data.
作者
宋丽丽
吴巍
王高旭
张轩
许怡
吴永祥
SONG Lili;WU Wei;WANG Gaoxu;ZHANG Xuan;XU Yi;WU Yongxiang(The National Key Laboratory of Water Disaster Prevention,Nanjing Hydraulic Research Institute,Nanjing 210029,China;Hohai University,Nanjing 211100,China;Yangtze Institute for Conservation and Development,Nanjing 211106,China)
出处
《人民珠江》
2024年第4期18-25,86,共9页
Pearl River
基金
国家自然科学基金(91847301、92047203、42075191)
广东省水利科技创新项目(2021-07)。
关键词
水利数据
数据共享
数据管理
数据可视化
CKAN
water conservancy data
data sharing
data management
data visualization
CKAN