发表机构
Pontifical Catholic University of Rio de Janeiro（里约热内卢天主教大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对室内空气污染的健康风险，提出基于大语言模型代理的EnQyMo物联网平台，利用BLE信标定位暴露用户并生成局部警报，自动识别关键暴露水平。
AI 中文摘要
室内空气质量差对居住者造成的直接健康问题可能比室外空气多出五倍。特别是，它可能导致头痛、疲劳、眼睛/喉咙刺激，并且长期暴露与呼吸系统疾病、心脏病以及某些形式的癌症相关。尽管室内健康与福祉的重要性不言而喻，但当前大多数监测设备和系统（通常用于办公室和工作场所）都是被动的。环境质量监测器（EnQyMo）平台是一个通用的物联网（IoT）中间件，旨在处理与室内空间空气质量相关的多种传感器数据，并将这些数据与用户/工作场所员工的健康暴露风险相关联。利用蓝牙低功耗（BLE）信标和移动物联网中间件，它能够识别暴露于污染空气或高二氧化碳（CO2）水平下的（智能手机）用户，并仅向处于不健康空气条件场所的用户生成特定位置的警报。EnQyMo的核心是一个大语言模型（LLM）代理，能够解释监管标准和科学文献，以自动识别关键的健康暴露水平。
英文摘要
Poor indoor air quality can cause up to five times more direct health problems to occupants than outdoor air. In particular, it may cause headaches, fatigue, eye/throat irritation, and long-time exposure is linked to respiratory and heart as well as some forms of cancer. Despite the importance of indoor health and well-being, most current monitoring devices and systems (usually for offices and workspaces) are passive. The Environmental Quality Monitor (EnQyMo) platform is a generic Internet of Things (IoT) middleware designed to process several sensor data related to air quality in indoor spaces and correlate this data with health exposure risks of users/workplace employees. Using Bluetooth Low Energy (BLE) beacons and a mobile IoT middleware it is able to identify the (smartphone) users exposed to these polluted air or high CO2 (carbon dioxide) levels, and generate location-specific alarms only to the users at the places with the unhealthy air conditions. At the core of EnQyMo is an agency of Large Language Models (LLMs) capable of interpreting regulatory standards and scientific literature to automatically identify critical health exposure levels.
Comments21 pages, 12 figures
