利用物联网驱动的声音和视觉CO2反馈系统改善教室空气质量和通风

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Nidhi Rawat , Prashant Kumar , Sarkawt Hama , Natalie Williams , Alessandro Zivelonghi
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引用次数: 0

摘要

在自然通风的教室里,空气质量和通风条件在很大程度上取决于班主任的开窗和开门行为。本研究旨在探讨基于物联网(IoT)的二氧化碳自我监测显示系统(SAVE unit)对教室空气质量和热舒适的影响。教室通风情况的视声信号通知班主任打开/关闭教室门窗。空气质量数据在基线(无警报)、S1(视觉警报)和S2(视声警报)三种情况下收集。当CO₂浓度超过1000 ppm和1500 ppm时,通过不同的报警方案向班主任发出警报。结果显示,使用视觉警报器可以减少19.5%的二氧化碳排放量,使用视觉声警报器可以减少19%的二氧化碳排放量。然而,PM的浓度(PM₁0,PM₂。₅,PM₁,PM₀.₁)由于窗户打开而增加,尽管PM₁₀和PM₂的每日平均值。₅仍在世卫组织安全范围内。教师打开或关闭窗户的决定主要受教室温度的影响。在较冷的日子(S2),由于关闭窗户以避免教室温度不舒服和过度使用加热器,观察到较高的二氧化碳浓度。节约装置虽然有效地降低了CO₂,但由于打开窗户的热量流失,导致了能源消耗的增加。虽然自然通风改善了空气质量,但它强调了平衡能源效率和热舒适的必要性。一个综合温度、空气质量和通风参数的整体信号系统将更好地指导教师管理教室通风。此外,建议基于物联网信号的学校级通风协议,以确保一致和有效的空气质量管理。该研究强调了实时数据驱动的通风策略的重要性,以优化室内空气质量,减少污染物暴露,并保持教室舒适的学习环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improving classroom air quality and ventilation with IoT-driven acoustic and visual CO2 feedback system

Improving classroom air quality and ventilation with IoT-driven acoustic and visual CO2 feedback system
In naturally ventilated classrooms, the air quality and ventilation conditions rely heavily upon window and door opening behaviour of the class teacher. This study aimed to examine the impact of an Internet of Things (IoT)-based CO₂ self-surveillance display system (SAVE unit) on classroom air quality and thermal comfort. The visual-acoustic signalling of classroom ventilation conditions notified the class teacher for opening/closing of classroom doors and windows. The air quality data were collected across baseline (no alarm), S1 (visual alarm) and S2 (visual-acoustic alarm) scenarios. The alarm was triggered to notify a class teacher when CO₂ exceeded 1000 and 1500 ppm with different alarm schemes. Results showed a 19.5 % reduction in CO₂ with visual alarms and 19 % with visual-acoustic alarms. However, PM concentrations (PM₁₀, PM₂.₅, PM₁, PM₀.₁) increased due to window openings, though a daily average of PM₁₀ and PM₂.₅ remained within WHO safe limits. Teacher's decision to open or close windows was primarily influenced by classroom temperature. Higher CO2 concentration was observed during colder days (S2) due to windows kept closed to avoid uncomfortable classroom temperature and excessive use of heaters. The SAVE unit helped to effectively lowered CO₂, but it also led to higher energy consumption due to heat loss from open windows. While natural ventilation improved air quality, it highlighted the need for balancing energy efficiency and thermal comfort. A holistic signalling system that integrates temperature, air quality, and ventilation parameters would better guide teachers in managing classroom ventilation. Additionally, a school-level ventilation protocol based on IoT-based signalling is recommended to ensure consistent and effective air quality management. This study underscores the importance of real-time data-driven ventilation strategies to optimise indoor air quality, reduce exposure to pollutants, and maintain a comfortable learning environment in classrooms.
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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