计算机科学
软件部署
通风(建筑)
可扩展性
热舒适性
云计算
物联网
室内空气质量
气流
环境科学
实时计算
模拟
嵌入式系统
工程类
气象学
环境工程
数据库
机械工程
物理
操作系统
作者
Deepak Sharma,Sudesh Yadav,Amarendra Goap,Dhirendra Bansal
标识
DOI:10.1109/jiot.2023.3303577
摘要
Ventilation is a cost-effective solution for attaining a healthy and comfortable indoor environment. This work presents an Internet of Things (IoT)-based low-cost smart ventilation solution considering indoor air quality and thermal comfort based on intelligently controlling the air-flow direction of bidirectional ventilation fan. The direction of air flow (inward/outward) is controlled based on outdoor and indoor environmental parameters. For decision support, the IoT-based solution considers location-specific outdoor environmental parameters, fetched from the Internet (weather cloud), and the indoor environmental parameters measured through sensors. The solution considers a scalable architecture to support multiple fan units, which could be helpful in creating customized air-flow patterns. Solution prototypes with a manual mode and an automatic/auto mode (considering thermal comfort) of operations demonstrate effective decision making related to the air-flow direction. The experimental results related to air-flow patterns under two fan deployment scenarios are also encouraging. The solution could help in better management of indoor air circulation and it could be useful in various indoor settings, e.g., houses, offices, factories, hospitals, etc.
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