Interoperability Structure of Smart Water Conservancy Based on Internet of Things

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2024-05-16 DOI:10.1155/2024/7724783
SongSong Wang, Ouguan Xu
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Abstract

Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. To address this challenge, we propose a novel interoperability structure for a smart water conservancy system based on the Internet of Things (IoT), and the key design includes a smart WCO terminal, interoperability network, special interoperability protocol, WCO information model, and cloud platform. Universal terminal and network are the base of interoperability hardware, and special interoperability protocol and information model for interconnection of WCO are designed for smart water conservancy management system. WCO can be connected to a water conservancy Big Data processing cloud platform for interoperability applications. The application results demonstrate that our proposed WCO’s interoperability structure has obvious advantages than the general IoT at WCO interoperability. The interoperability protocol is reliable, the information model can ease interoperability and security, and the semantic dictionary is very rich and covers all semantic services of WCO.
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基于物联网的智能水利互操作结构
大规模智能水利对象(WCO)需要连接起来进行实时监测和控制,从而产生大量数据。遗憾的是,异构的数据结构和语义导致 WCO 与管理系统之间的互操作性较低。为应对这一挑战,我们提出了一种基于物联网(IoT)的新型智能水利系统互操作结构,其关键设计包括智能 WCO 终端、互操作网络、专用互操作协议、WCO 信息模型和云平台。通用终端和网络是互操作性硬件的基础,为智能水利管理系统设计了专用互操作协议和 WCO 互联信息模型。WCO 可连接到水利大数据处理云平台进行互操作应用。应用结果表明,我们提出的 WCO 互操作结构比一般物联网在 WCO 互操作方面具有明显优势。互操作协议可靠,信息模型便于互操作和安全,语义字典非常丰富,涵盖了WCO的所有语义服务。
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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