Mohammed Mazin Abed, Lakhan Abdullah, Abdulkareem Karrar Hameed, Abd Ghani Mohd Khanapi, Marhoon Haydar Abdulameer, Kadry Seifedine, Nedoma Jan, Martinek Radek, Zapirain Begonya Garcia
Department of Artificial Intelligence, College of Computer Science and Information Technology, University of Anbar, Anbar 31001, Iraq; Department of Telecommunications, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.
Department of Cybersecurity and Computer Science, Dawood University of Engineering and Technology, Karachi City 74800, Sindh, Pakistan; Department of Telecommunications, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic; Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.
J Adv Res. 2024 Dec;66:1-14. doi: 10.1016/j.jare.2023.10.005. Epub 2023 Oct 13.
The Industrial Internet of Water Things (IIoWT) has recently emerged as a leading architecture for efficient water distribution in smart cities. Its primary purpose is to ensure high-quality drinking water for various institutions and households. However, existing IIoWT architecture has many challenges. One of the paramount challenges in achieving data standardization and data fusion across multiple monitoring institutions responsible for assessing water quality and quantity.
This paper introduces the Industrial Internet of Water Things System for Data Standardization based on Blockchain and Digital Twin Technology. The main objective of this study is to design a new IIoWT architecture where data standardization, interoperability, and data security among different water institutions must be met.
We devise the digital twin-enabled cross-platform environment using the Message Queuing Telemetry Transport (MQTT) protocol to achieve seamless interoperability in heterogeneous computing. In water management, we encounter different types of data from various sensors. Therefore, we propose a CNN-LSTM and blockchain data transactional (BCDT) scheme for processing valid data across different nodes.
Through simulation results, we demonstrate that the proposed IIoWT architecture significantly reduces processing time while improving the accuracy of data standardization within the water distribution management system.
Overall, this paper presents a comprehensive approach to tackle the challenges of data standardization and security in the IIoWT architecture.
工业水事物互联网(IIoWT)最近已成为智慧城市中高效水资源分配的主导架构。其主要目的是确保为各类机构和家庭提供高质量的饮用水。然而,现有的IIoWT架构面临诸多挑战。其中一个至关重要的挑战是在负责评估水质和水量的多个监测机构之间实现数据标准化和数据融合。
本文介绍了基于区块链和数字孪生技术的数据标准化工业水事物互联网系统。本研究的主要目标是设计一种新的IIoWT架构,其中必须满足不同水务机构之间的数据标准化、互操作性和数据安全性。
我们使用消息队列遥测传输(MQTT)协议设计了启用数字孪生的跨平台环境,以在异构计算中实现无缝互操作性。在水管理中,我们会遇到来自各种传感器的不同类型的数据。因此,我们提出了一种卷积神经网络-长短期记忆网络和区块链数据交易(BCDT)方案,用于跨不同节点处理有效数据。
通过仿真结果,我们证明了所提出的IIoWT架构显著减少了处理时间,同时提高了配水管理系统内数据标准化的准确性。
总体而言,本文提出了一种全面的方法来应对IIoWT架构中的数据标准化和安全挑战。