智能健康学校:基于物联网的多房间动态空气质量控制概念

Alessandro Zivelonghi , Alessandro Giuseppi
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引用次数: 2

摘要

智能健康学校(SHS)是建筑工程和学校建筑感染风险控制的一种新范式,室内空气质量(IAQ)、物联网(IoT)和人工智能(AI)学科融合在一起。在后疫情时代,为学校配备智能物联网传感器网络对于实现室内空气质量的最佳控制和降低几种病原体的空气传播感染风险至关重要,这些病原体与人类随时间累积排放的二氧化碳水平间接相关。由于空气更新的改善,冬季的热能浪费仍然是一个主要问题,但由于LoRaWAN协议的灵活性,可以在SHS监测架构内很好地监测,该协议还能够处理房间和建筑规模的大量能源和气候数据。在这项工作中,我们报告了AulaSicura平台的设计,这是一个由主要作者和Gizero Energie共同设计的物联网控制系统,通过在现有和新校舍中清晰可见(和可听)的警报信号来实现SHS模式。基于云的LoRa系统能够连续同时监测各种传感器和室内空气质量参数,包括室内/室外温度、相对湿度和人类排放的过量二氧化碳。室内二氧化碳水平的多房间监测概念允许集中控制各个教室的自然通风水平,并可以处理(准)实时数据,这些数据与数据后处理以及单房间规模的室内空气质量和感染风险水平的(准)实际评估的未来发展有关。传感器网络还可扩展到每个LoRa节点多达1000间教室,从而在城市范围内对整个学区进行集中控制。此外,通过Modbus-LoRa I/O转换器,AulaSicura还可以在纯或混合机械通风模式下控制每个节点相同数量的机械通风单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control

Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control

Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intelligence (AI) merge together. In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. Thermal energy waste in winter due to improved air renewal remains of major concern but can be well monitored within a SHS monitoring architecture thanks to the flexibility of the LoRaWAN protocol able to process also a large amount of energy and climatic data at room and building scale. In this work, we report the design of the AulaSicura platform, an IoT control system co-designed by the main author and Gizero Energie to implement the SHS paradigm via clearly visible (and audible) alarm signalling in existing and new school buildings. The cloud-based LoRa system is capable of continuous and simultaneous monitoring of a variety of sensors and IAQ parameters including indoor/oudoor temperatures, rel. humidities and human-emitted excess CO2. The multi-room monitoring concept of indoor-CO2 levels allows centralized control of natural ventilation levels in individual classrooms and can handle (quasi)-real-time data, relevant for data post-processing and future developments in (quasi)-real-rime assessment of IAQ and infection risk levels at single room scale. The sensor network is also extensible to up to one thousand of classrooms per LoRa-node allowing centralized control of entire school districts at an urban scale. Moreover, through Modbus-LoRa I/O converters, AulaSicura can also control the same amount of mechanical ventilation units per node either in pure or hybrid mechanical ventilation modes.

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