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个协作机器人以及支持边缘智能的设备。本文全面介绍了UMBRELLA在真实物联网系统中已实现及未来规划的人工智能能力。详细阐述了四个现有UMBRELLA应用：1) 自动路灯监控系统，用于检测故障并触发维护警报；2) 建筑环境数字孪生系统，能够以更低成本提供增强型空气质量感知；3) 大规模联邦学习框架，用于降低通信开销；4) 面向容器化应用的入侵检测系统，用于识别恶意活动。此外，本文展望了UMBRELLA在语义通信与多智能体规划增强的未来智慧城市及多机器人群体感知应用中的潜力。最后，为实现上述应用场景，本文探讨了定制化MLOps平台的必要性，该平台可自动化UMBRELLA模型流水线并建立信任机制。