UMBRELLA is a large-scale, open-access Internet of Things (IoT) ecosystem incorporating over 200 multi-sensor multi-wireless nodes, 20 collaborative robots, and edge-intelligence-enabled devices. This paper provides a guide to the implemented and prospective artificial intelligence (AI) capabilities of UMBRELLA in real-world IoT systems. Four existing UMBRELLA applications are presented in detail: 1) An automated streetlight monitoring for detecting issues and triggering maintenance alerts; 2) A Digital twin of building environments providing enhanced air quality sensing with reduced cost; 3) A large-scale Federated Learning framework for reducing communication overhead; and 4) An intrusion detection for containerised applications identifying malicious activities. Additionally, the potential of UMBRELLA is outlined for future smart city and multi-robot crowdsensing applications enhanced by semantic communications and multi-agent planning. Finally, to realise the above use-cases we discuss the need for a tailored MLOps platform to automate UMBRELLA model pipelines and establish trust.

翻译：UMBRELLA是一个大规模、开放接入的物联网生态系统，集成了200多个多传感器多无线节点、20个协作机器人和边缘智能设备。本文为UMBRELLA在实际物联网系统中已实现与预期的人工智能能力提供指南。详细介绍了四个现有的UMBRELLA应用场景：1）自动路灯监测，用于检测问题并触发维护警报；2）建筑环境数字孪生，以更低成本提供增强型空气质量感知；3）用于降低通信开销的大规模联邦学习框架；4）针对容器化应用的入侵检测，识别恶意活动。此外，还概述了UMBRELLA在未来智慧城市和多机器人群体感知应用中的潜力，这些应用将由语义通信和多智能体规划增强。最后，为实现上述用例，我们讨论了构建定制化MLOps平台的需求，以自动化UMBRELLA模型流水线并建立信任。