Monitoring Indoor Environmental Quality (IEQ) is of growing interest for health and wellbeing. New building standards, climate targets and adoption of homeworking strategies are creating needs for scalable, monitoring solutions with onward Cloud connectivity. Low-cost Micro-Electromechanical Systems (MEMS) sensors have potential to address these needs, enabling development of bespoke multimodal devices. Here, we present insights into the development of a MEMS-based Internet of things (IoT) enabled multimodal device for IEQ monitoring. A study was conducted to establish the inter-device variability and validity to reference standard sensors/devices. For the multimodal, IEQ monitor, intraclass correlations and Bland-Altman analyses indicated good inter-sensor reliability and good-to-excellent agreement for most sensors. All low-cost sensors were found to respond to environmental changes. Many sensors reported low accuracy but high precision meaning they could be calibrated against reference sensors to increase accuracy. The multimodal device developed here was identified as being fit-for-purpose, providing general indicators of environmental changes for continuous IEQ monitoring.

监测室内环境质量 (IEQ) 对健康和福祉越来越感兴趣。新的建筑标准、气候目标和家庭办公策略的采用正在创造对具有向前云连接的可扩展监控解决方案的需求。低成本微机电系统 (MEMS) 传感器具有满足这些需求的潜力，从而能够开发定制的多模式设备。在这里，我们提出了对基于 MEMS 的物联网 (IoT) 启用多模式设备的 IEQ 监控开发的见解。进行了一项研究，以确定参考标准传感器/设备的设备间可变性和有效性。对于多模态、IEQ 监视器、类内相关性和 Bland-Altman 分析，大多数传感器具有良好的传感器间可靠性和良好至优秀的一致性。发现所有低成本传感器都能响应环境变化。许多传感器报告精度低但精度高，这意味着它们可以根据参考传感器进行校准以提高精度。这里开发的多模式设备被确定为适合用途，为连续 IEQ 监测提供环境变化的一般指标。