新兴工业物联网开源平台及在各行各业的应用

Telecom Pub Date : 2024-05-14 DOI:10.3390/telecom5020019
Eyuel Debebe Ayele, Stylianos Gavriel, Javier Ferreira Gonzalez, Wouter B. Teeuw, Panayiotis Philimis, Ghayoor Gillani
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引用次数: 0

摘要

许多行业都取得了革命性的技术进步,IIoT 就是一个典型的例子。IIoT 建立了一个设备互联网络,实现了工业环境中的顺畅通信和互操作性。这不仅能提高效率、生产力和安全性,还能为各行各业提供变革性的解决方案。本研究探讨了适用于一系列应用的开源 IIoT 和边缘平台,旨在寻找和开发高潜力的解决方案。它强调了开源物联网和边缘计算平台对传统物联网应用的影响,展示了这些平台如何使开发和部署过程变得更容易。流行的开源物联网平台包括 DeviceHive 和 Thingsboard,而 EdgeX Foundry 则是边缘计算的关键平台,它允许将物联网应用部署到更靠近数据源的地方,从而减少延迟并节省带宽。本研究旨在确定未来利用这些开源平台实施物联网解决方案的潜在领域。此外,还根据各种标准对每个领域进行了评估,如开发要求分析、市场需求预测、对每个领域的领先公司和新兴初创企业的考察,以及应用国际专利分类(IPC)计划进行深入的领域分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors
Revolutionary advances in technology have been seen in many industries, with the IIoT being a prime example. The IIoT creates a network of interconnected devices, allowing smooth communication and interoperability in industrial settings. This not only boosts efficiency, productivity, and safety but also provides transformative solutions for various sectors. This research looks into open-source IIoT and edge platforms that are applicable to a range of applications with the aim of finding and developing high-potential solutions. It highlights the effect of open-source IIoT and edge computing platforms on traditional IIoT applications, showing how these platforms make development and deployment processes easier. Popular open-source IIoT platforms include DeviceHive and Thingsboard, while EdgeX Foundry is a key platform for edge computing, allowing IIoT applications to be deployed closer to data sources, thus reducing latency and conserving bandwidth. This study seeks to identify potential future domains for the implementation of IIoT solutions using these open-source platforms. Additionally, each sector is evaluated based on various criteria, such as development requirement analyses, market demand projections, the examination of leading companies and emerging startups in each domain, and the application of the International Patent Classification (IPC) scheme for in-depth sector analysis.
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