摘要
文章提出一种以知识图谱技术为基础的智能物联系统构建方法,通过融合多源异构数据建立智能物联系统知识图谱模型,覆盖档案管理的基本要素,设计了智能物联系统的功能结构和基础架构体系;基于知识图谱模型重点围绕档案馆安防管理、实体档案智能管理、环境感知与控制和可视化档案馆等四个方面来设计档案馆常用业务场景的技术流程并投入业务应用。系统采用的关键技术可为档案馆和图书馆等行业管理和服务能力的提升提供一种借鉴。
This paper proposes a method for building an intelligent Internet of Things system based on knowledge mapping technology.By integrating multi-source heterogeneous data to establish an intelligent Internet of Things system knowledge mapping model,covering the basic elements of file management,it designs the functional structure and infrastructure system of the intelligent Internet of Things system;Based on the knowledge atlas model,the technical processes for commonly used business scenarios in archives are designed and put into business applications focusing on four aspects:archives security management,intelligent management of physical archives,environmental awareness and control,and visual archives.The key technologies adopted by the system can provide a reference for the improvement of management and service capabilities in industries such as archives and libraries.
作者
江双五
刘惠兰
华连生
谢伟
孔芹芹
JIANG shuangwu;LIU huilan;HUA liansheng;XIE wei;KONG qinqin(Anhui Meteorological Information Center,Hefei 230031,China)
出处
《长江信息通信》
2023年第9期132-136,共5页
Changjiang Information & Communications
基金
国家档案局科技项目(2022-X-060)
安徽省气象局创新团队建设计划资助。
关键词
物联网
知识图谱
气象档案
安防管理
实体档案
环境感知与控制
LOT Internet of Things
Knowledge map
Meteorological archives
Security management
Physical archives
Environmental perception and control.
作者简介
江双五(1971-),男,安徽桐城人,硕士,高级工程师,主要研究方向:气象信息资源管理和信息系统设计。
