Proposal for a small two-story living room house based on air-quality monitoring

Nica, Răzvan Mircea; Hapurne, Tania; Dumitraşcu, Adina; Bliuc, Irina; Avram, Costel

doi:10.1016/j.promfg.2018.03.041

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…For residential buildings, Nica [21] implemented a realtime monitoring system to collect the indoor temperature, humidity and CO2 concentration in a small two-story house. In [22], authors monitored the concentrations of CO, CO2, PM10, PM2.5 and VOCs in eight typical SDUs for 48 hours in Hong Kong, China.…”

Section: Related Workmentioning

confidence: 99%

Multi-Points Indoor Air Quality Monitoring Based on Internet of Things

et al. 2021

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Indoor air quality monitoring is of great importance to human health as people typically spend more than 90% of their time in indoor environments. An indoor air quality detector (IAQD) enabling measurement of CO2, PM2.5, temperature, humidity, has been designed and tested in residential buildings based on Internet of Things (IoT). The hardware and software design of IAQD are described in detail, and seven IAQDs with Zigbee wireless module embedded were deployed in the target building for a continuous period of one month in winter. The gateway collects sensor data from each IAQD in turn at an interval of two minutes, and transmits data to server in the cloud via GPRS/4G. The authorized users can access cloud platform via mobile apps or the Web browser. Monitoring data analysis results reveal that the maximum PM2.5 concentrations is 10 times than usual during cooking period, and CO2 concentrations with the door closed will rise to 2500 ppm compared to the door opened at night, which threatens the health of occupants.

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Section: Related Workmentioning

confidence: 99%

Multi-Points Indoor Air Quality Monitoring Based on Internet of Things

et al. 2021

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Indoor Air Quality in a Residential Building – A Health Issue

Pereira,

Santiago,

Reis

et al. 2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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RETRACTED: IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques

Ramachandraarjunan¹,

Perumalsamy²,

Narayanan

2022

IFS

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Monitoring indoor air quality stays needed for human health because people use more than 95% of air in their indoor rooms. An Intelligent Internal Air Quality Monitoring (IIAQM) system built on the Internet of Things (IoT) devices has been developed and tested in Quantanics Techserv Private Limited, Tamilnadu, India. To monitor the levels of CO2, PM2.5 (Particle Matters 2.5), and moisture measurement, the IIAQM model has been used to monitor the present level of air quality. The gateway collects IIAQM sensor data in a few seconds and transfers data to cloud server. Approved users can incorporate the cloud systems through mobile applications or web servers. Installation of sensor networks, instrument transformers, and IoT-powered microcontrollers will provide air quality monitoring for buildings. The proposed window controller configuration is designed with the help of a Recurrent Neural Network (RNN) to predict the air quality level in advance. If the air quality level is above the normal level, the window controller automatically will open with the help of sensor activity control system. After the AQI (Air Quality Index) becomes normal, hence the window controller is closed automatically. The air quality index, CO2, and humidity data are visualized on the Grafana dashboard.

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Proposal for a small two-story living room house based on air-quality monitoring

Cited by 3 publications

References 2 publications

Multi-Points Indoor Air Quality Monitoring Based on Internet of Things

Multi-Points Indoor Air Quality Monitoring Based on Internet of Things

Indoor Air Quality in a Residential Building – A Health Issue

RETRACTED: IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques

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