通过未来建筑物物联网系统实现更好的室内空气质量:机遇和挑战
Xilei Dai1, Wenzhe Shang2, Junjie Liu2
1Department of the Built Environment, College of Design and Engineering, National University of Singapore, 4 Architecture Drive, Singapore 117566, Singapore.
基于物联网 (IoT) 的室内空气质量 (IAQ) 平台提供可靠的监测. 整合数据驱动技术和乘客反是未来IAQ管理的关键,平衡空气质量和能源效率.
科学领域:
- 环境科学 环境科学
- 建筑技术 建筑技术 建筑技术
- 计算机科学 计算机科学
背景情况:
- 物联网 (IoT) 技术和负担得起的室内空气质量 (IAQ) 传感器的普及,刺激了人们对基于物联网的IAQ监测平台的兴趣.
- 这些平台显示出在各种建筑环境中改善IAQ管理的巨大潜力.
研究的目的:
- 对基于物联网的IAQ平台的开发和应用进行现有研究的全面审查.
- 为这些平台的设计和实施提供详细的见解.
- 识别基于物联网的IAQ管理中的当前挑战和未来机会.
主要方法:
- 在建筑环境中基于物联网的IAQ平台的文献综述.
- 分析平台的设计,实施和应用.
- 评估数据驱动方法和传感器维护策略.
主要成果:
- 基于物联网的IAQ平台提供可靠的IAQ监控数据.
- 建议定期更换传感器 (每4-6个月),以进行质量控制.
- 只有9.1%的审查平台集成数据驱动模型用于IAQ管理.
- 数据驱动的算法可以通过改进的信息和控制策略来提高IAQ.
结论:
- 未来基于物联网的IAQ平台应该整合数据驱动的算法和数字双胞胎,以实现先进的IAQ管理.
- 在能源效率和IAQ之间取得平衡至关重要,需要具体的环境策略.
- 纳入乘客反对于开发以乘客为中心的IAQ管理方法至关重要.
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