Smart Air Filtration System Using IoT and Kalman Filter Algorithm for Indoor Air Quality and Plant Monitoring

Mapili, Micah Gabriel A.; Rodriguez, Kathleen Anne D.; Sese, Julius T.

doi:10.1109/icset53708.2021.9612560

Cited by 7 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Advantages Disadvantages MA [20], EWMA [21], ARIMA [22] well suited for immediate prediction because of its easy computation process constrained by the limited feature extraction and its accuracy is low for complex scenarios. ML [23] accurately predict the trend of the observed object in advance of a long period of time demanding a large amount of data and unsuitable for a low-cost IoT network Kalman filters [24,25,26,27] good trade-off between speed and accuracy, suitable for real-time IoT network very few researches of Kalman filters for a practical low-cost IoT network…”

Section: Algorithmsmentioning

confidence: 99%

Moving-update Kalman Algorithm in Low-cost Node-Red IoT Network for Estimating Flood Water Level

Nguyen¹,

Le²,

Le³

et al. 2022

J. ADV. ENG. COMPUT.

View full text Add to dashboard Cite

Flooding is one of the most common natural disasters in Vietnam. Although a hydrological monitoring system has been developed in Vietnam, the adoption of a Flood Warning and Monitoring System (FWMS) is still limited. A practical issue is that the river water levels is rarely flat, but undulating with flood water ripples, which makes the measurement inaccurate. In this paper, we will design a recursive Kalman estimation for fluctuating flood water level in the Node-Red IoT network. Indeed, the low complexity of the popular Kalman filter algorithm is very suitable for a low-cost IoT system like Node-Red. In our experiments, the accuracy of our Kalman algorithm is far superior to the standard Moving Average (MA) algorithm. To our knowledge, this is the first time that the Kalman filter has been used in a practical Node-Red IoT experiment. We will show that our novel Moving-update Kalman algorithm, which combines MA and Kalman methods, can track data recursively without prior knowledge of noise’s variance. Our novel algorithm is of linear complexity and, hence, fast enough for low cost IoT and FWMS systems in developing countries like Vietnam. We also included the industrial Message Queuing Telemetry Transport (MQTT) protocol in IoT network in our Node-Red system, which means our designed Node-Red proposal is capable of transferring data to any FWMS network via internet. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

show abstract

Section: Algorithmsmentioning

confidence: 99%

Moving-update Kalman Algorithm in Low-cost Node-Red IoT Network for Estimating Flood Water Level

Nguyen¹,

Le²,

Le³

et al. 2022

J. ADV. ENG. COMPUT.

View full text Add to dashboard Cite

show abstract

“…The traditional filter components are used to block the pollutants, whereas LTE device is employed to broadcast real-time data on air pollution to a web server. Besides this, ThingSpeak analytics is also employed to monitor air quality by Kalman Algorithm[34,35]. There are enormous works on the development of smart air…”

mentioning

confidence: 99%

Nanozymes Induced Air Purification- A State of the Art Review

Sarkar¹,

Saha²,

Bhattacharjee³

et al. 2023

RRRJ

View full text Add to dashboard Cite

Air decontamination is always a prime concern to society as the air to be inhaled should be free of contaminants so that living beings can get ample amount of energy to wheel their lives. Rapid urbanization causes drastic contamination in air that can create several life-threatening disorders. In this scenario, ultrahigh detection along with quick estimation of air pollutants has become an urgent need to the society. Nanotechnology enabled enzyme mimicking materials known as nanozymes, demonstrates elevated purification efficiency, sterilizability and low wind resistance. These materials when used in air-filter can work as a soldier to combat with air pollution. Incorporation of latest technology viz. Internet of Things (IoT), cloud computing, etc., brings a new flavor in air refinement. In this present work, several nanozymes are surveyed with high efficiency in air filtration. Single atom nanozymes have established themselves as proficient candidates in air decontamination. The implication in air refinement is attributed to the birth of pro-active superoxide ions and successive formaldehyde oxidation. Corona virus and microbes afflicted air may be purified by the redox commotion of nanozymes. Fiber centric air filter provides enhanced filtration efficiency in real time monitoring process with the aid of IoT conjugation. The present review aids in understanding the mechanisms and potentiality of nanozymes as air purifiers, and also optimizes the design of air purifier.

show abstract

Air Pollutant Detection System Utilizing an IoT-based Electronic Nose for Air Purifier

Balbin

Guzman

Rambuyon

2022

2022 6th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM)

View full text Add to dashboard Cite

Smart Air Filtration System Using IoT and Kalman Filter Algorithm for Indoor Air Quality and Plant Monitoring

Cited by 7 publications

References 18 publications

Moving-update Kalman Algorithm in Low-cost Node-Red IoT Network for Estimating Flood Water Level

Moving-update Kalman Algorithm in Low-cost Node-Red IoT Network for Estimating Flood Water Level

Nanozymes Induced Air Purification- A State of the Art Review

Air Pollutant Detection System Utilizing an IoT-based Electronic Nose for Air Purifier

Contact Info

Product

Resources

About