Abhay Kataria;Jitendra K. Mishra;Ajit Aras;Santosh Kumar
{"title":"在通风有限的城市环境中提高室内空气质量的实用方法","authors":"Abhay Kataria;Jitendra K. Mishra;Ajit Aras;Santosh Kumar","doi":"10.1109/JSEN.2025.3560135","DOIUrl":null,"url":null,"abstract":"The endeavor of furnishing active indoor air purification in urban settings, characterized by low complexity and real-time operation, is challenging, attributable to the requirement of actively eliminating total volatile organic compounds (TVOCs). In metropolitan regions with a dearth of natural light and airflow, the internal atmosphere may rapidly amass TVOCs, which can create serious negative impacts on human health. To tackle this predicament and advocate for salubrious living, the Internet of Things (IoT) arrangement enabling real-time monitoring of indoor TVOC levels with a cloud-based sensor system and the automated reduction of TVOCs by autonomously operated ionizers is demonstrated. The system is installed and tested on TVOCs common in everyday life in a controlled environment that represents real-life climate-controlled indoor spaces, including realities like leakages in the air-conditioning systems. The investigations derived from calibrated real-time monitoring sensor measurements and subsequent analysis reveal that the proposed closed-loop ionizer system is effective in reducing the harmful TVOC levels by more than 20% with one ionizer and more than 70% with two ionizers in a realistic indoor environment. The results also clearly establish that this system is scalable, as higher ion concentration boosts the suppression of the TVOCs. This proposed method thus clearly establishes an effective way of improving air quality by reducing TVOCs that is progressive and practical to apply in real-life dwellings to improve the well-being of the inhabitants.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 11","pages":"20602-20609"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Pragmatic Approach Toward Enhancing Indoor Air Quality in Urban Settings With Limited Ventilation\",\"authors\":\"Abhay Kataria;Jitendra K. Mishra;Ajit Aras;Santosh Kumar\",\"doi\":\"10.1109/JSEN.2025.3560135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The endeavor of furnishing active indoor air purification in urban settings, characterized by low complexity and real-time operation, is challenging, attributable to the requirement of actively eliminating total volatile organic compounds (TVOCs). In metropolitan regions with a dearth of natural light and airflow, the internal atmosphere may rapidly amass TVOCs, which can create serious negative impacts on human health. To tackle this predicament and advocate for salubrious living, the Internet of Things (IoT) arrangement enabling real-time monitoring of indoor TVOC levels with a cloud-based sensor system and the automated reduction of TVOCs by autonomously operated ionizers is demonstrated. The system is installed and tested on TVOCs common in everyday life in a controlled environment that represents real-life climate-controlled indoor spaces, including realities like leakages in the air-conditioning systems. The investigations derived from calibrated real-time monitoring sensor measurements and subsequent analysis reveal that the proposed closed-loop ionizer system is effective in reducing the harmful TVOC levels by more than 20% with one ionizer and more than 70% with two ionizers in a realistic indoor environment. The results also clearly establish that this system is scalable, as higher ion concentration boosts the suppression of the TVOCs. 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A Pragmatic Approach Toward Enhancing Indoor Air Quality in Urban Settings With Limited Ventilation
The endeavor of furnishing active indoor air purification in urban settings, characterized by low complexity and real-time operation, is challenging, attributable to the requirement of actively eliminating total volatile organic compounds (TVOCs). In metropolitan regions with a dearth of natural light and airflow, the internal atmosphere may rapidly amass TVOCs, which can create serious negative impacts on human health. To tackle this predicament and advocate for salubrious living, the Internet of Things (IoT) arrangement enabling real-time monitoring of indoor TVOC levels with a cloud-based sensor system and the automated reduction of TVOCs by autonomously operated ionizers is demonstrated. The system is installed and tested on TVOCs common in everyday life in a controlled environment that represents real-life climate-controlled indoor spaces, including realities like leakages in the air-conditioning systems. The investigations derived from calibrated real-time monitoring sensor measurements and subsequent analysis reveal that the proposed closed-loop ionizer system is effective in reducing the harmful TVOC levels by more than 20% with one ionizer and more than 70% with two ionizers in a realistic indoor environment. The results also clearly establish that this system is scalable, as higher ion concentration boosts the suppression of the TVOCs. This proposed method thus clearly establishes an effective way of improving air quality by reducing TVOCs that is progressive and practical to apply in real-life dwellings to improve the well-being of the inhabitants.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice