Smart Embedded Framework using Arduino and IoT for Real-Time Noise and Air Pollution Monitoring and Alert system

Janeera, D. A.; Poovizhi., H; Haseena., S.S Sheik; Nivetha., S

doi:10.1109/icais50930.2021.9396041

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…To track noise and air pollution levels in any relevant location, a wireless embedded computing system is suggested in this research study as a feasible solution. Researchers and decision-makers can better comprehend these environmental concerns and create more potent solutions by utilising this technology [3].…”

Section: Literature Reviewmentioning

confidence: 99%

“…To ensure a healthy life and a brighter future, it is essential to monitor these issues and provide solutions. The creation of smart sensor networks, which combine electronics, wireless communication, and computer science, is one field of research that can help in monitoring noise and air pollution levels [4]. The data gathered by sensors can be processed, stored, and analysed at a centralised government data centre to help authorities make informed judgements and take corrective action promptly.…”

Section: Literature Reviewmentioning

confidence: 99%

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Noise Level Notifier

P.M,

et al. 2023

E3S Web Conf.

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This paper involves utilizing an Arduino Uno as the primary hardware to measure the sound level in a library. The amount of noise in the region is measured using a sound sensor. The sound sensor signals are amplified using the operational amplifier function of the integrated circuit LM 567. There are two types of output available: audio and visual. The audio output takes the form of a personalized message that is played over speakers. LEDs are employed to offer visual feedback, with white LEDs used in noise-free environments (sound level 45 dB, yellow LEDs used when sound levels are above 65 decibels, and red LEDs used when sound levels are significantly above 80 decibels). A TIP 220 transistor is used to amplify the signals. A TIP 220 transistor amplifies the signals to create an output for the speaker. There is an audio message that corresponds to each sound level.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Noise Level Notifier

P.M,

et al. 2023

E3S Web Conf.

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“…With the move toward predictive maintenance, researchers are also looking for ways to utilize newer technology to get better results. The research is not only going on in this area but also in other areas like wearable devices for condition monitoring of patients to check on any abnormality [10,11], solar-powered condition monitoring systems [12], air and noise pollution monitoring systems [13], and much more. This is because of the advancement in the technology of microcontroller boards that have given researchers more options to explore.…”

Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Fault Detection and Predictive Maintenance of Electrical Machines

Raja¹,

Kudelina²,

Asad³

et al. 2023

New Trends in Electric Machines - Technology and Applications

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Nowadays, most domestic and industrial fields are moving toward Industry 4.0 standards and integration with information technology. To decrease shutdown costs and minimize downtime, manufacturers switch their production to predictive maintenance. Algorithms based on machine learning can be used to make predictions and detect timely potential faults in modern energy systems. For this, trained models with the usage of data analysis, cloud, and edge computing are implemented. The main challenge is the amount and quality of the data used for model training. This chapter discusses a specific version of a condition monitoring system, including maintenance approaches and machine learning algorithms and their general application issues.

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“…The use of Arduino microcontroller boards (MCBs) has evolved steadily over the years, and it has been developed in many research areas. Various integrations in the research papers show a clear direction for the implementation of Arduino boards in science applications, ranging from education (Guven et al, 2022), health sensor technology (Bhardwaj et al, 2022), applied engineering (Loukatos et al, 2022) real-time monitoring (Janeera et al, 2021), Internet of Things (IoT) (Raju et al, 2020), homemade portable devices (Mariani et al, 2022) and many more. Many papers have reported the need for monitoring equipment for science experiments with Arduino boards (Christenson et al, 2022; Sudarmanto at al., 2 022; de Vera et a l. , 202 2).…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Arduino Microcontroller Boards in Science: A Bibliometric Analysis from 2008 to 2022

Prabowo,

Irwanto

2023

JEET

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The name "Ardui no " made i t s international debut in 2005, marking the age of Arduino as one of the most user-friendly and costeffective microcontroller boards (MCBs) for novices. The science implementation of Arduino boards in automation, networking and data acquisition has been increasing steadily. This study provides a thorough Bibliometric analysis from 1122 papers focused on the Scopus database of published microcontroller research, from the first year the Arduino keyword appeared in 2008 until 2022. Various science articles indexed by Scopus and referring to the use of Arduino MCBs are selected. The Bibliometric analysis explores comprehensive and general key attributes that form a trend from the Scopus articles based on authors, titles, publication years, keywords, citations, affiliations, abstracts, funding information, and languages. The generated data is visualized and analyzed to find patterns that appear within the time span. This study found a significant increase in the number of articles on Arduino boards in Biology, Physics, Chemistry, Science, and STEM category ofthe paper. Despite using only the Scopus database, this study opens up to view the direction of the growing application of Arduino boards in Science. The use of B i b l i o m e t r i c a n a l y s i s ma p s t h e s c i e n t i f i c implementation of Arduino boards as an extensive guide for future collaborations in education and industry. Keywords: Arduino, Bibliometric, Microcontroller Boards, Science, Sensor, STEM

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Smart Embedded Framework using Arduino and IoT for Real-Time Noise and Air Pollution Monitoring and Alert system

Cited by 15 publications

References 11 publications

Noise Level Notifier

Noise Level Notifier

Perspective Chapter: Fault Detection and Predictive Maintenance of Electrical Machines

The Implementation of Arduino Microcontroller Boards in Science: A Bibliometric Analysis from 2008 to 2022

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