A Testbed Platform to Support an IoT City Lab

IF 4.3
IoT Pub Date : 2024-01-24 DOI:10.3390/iot5010003
Carlo Impagliazzo, Muriel Cabianca, M. L. Clemente, Giuliana Siddi Moreau, Matteo Vocale, Lidia Leoni
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Abstract

This paper describes the development activity that has been carried out for a living laboratory for the city of Cagliari aimed at functioning as a learning center for local SMEs willing to improve their skills in IoT and create applications that will be integrated in an open innovation ecosystem. The many users belonging to the various SMEs involved in the project required an ICT laboratory with a platform that could manage them and provide a multi-tenant environment for the development of IoT applications. The architecture also had to be scalable and interoperable, and the resulting platform had to collect many kinds of data from sensors or other data sources, elaborate them, and show georeferenced information on a 3D satellite interactive view along with statistics on side panels. This work was based on a platform already developed by CRS4 for a previous project. Preserving the concept of the decision-making tool for Smart Cities, almost every component was redesigned, and, in this paper, we describe the new solutions that have been implemented. Starting from the former structure, further features were added in a novel way in order to offer an enhanced framework that can deal with the activities of the laboratory, exploiting the scalability of the open-source systems involved, their robustness and flexibility, and leveraging domain standards. In this article, the main challenges involved in the development of the platform are described, as well as the solutions that have been implemented so far.
支持物联网城市实验室的测试平台
本文介绍了为卡利亚里市生活实验室开展的开发活动,该实验室旨在为愿意提高物联网技能的当地中小型企业提供一个学习中心,并创建可集成到开放式创新生态系统中的应用程序。参与该项目的中小企业用户众多,因此需要一个信息和通信技术实验室,其平台应能管理这些用户,并为开发物联网应用提供多租户环境。该架构还必须具有可扩展性和互操作性,由此产生的平台必须能够从传感器或其他数据源收集多种数据,对其进行阐述,并在三维卫星互动视图上显示地理参考信息,同时在侧板上显示统计数据。这项工作的基础是 CRS4 为以前的一个项目开发的平台。在保留智能城市决策工具概念的基础上,我们重新设计了几乎所有组件,并在本文中介绍了已实施的新解决方案。从以前的结构开始,我们以一种新颖的方式添加了更多的功能,以便提供一个能够处理实验室活动的增强型框架,同时利用相关开源系统的可扩展性、稳健性和灵活性,并充分利用领域标准。本文将介绍开发该平台所面临的主要挑战,以及迄今为止已实施的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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IoT
IoT
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