Calibration and standardization of air quality measurements using MQ sensors

Carrillo-Amado, Yersson Ramiro; Califa-Urquiza, Miguel Angel; Valencia, Jacipt Alexander Ramón

doi:10.22463/0122820x.2408

Cited by 7 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, the electronics layout was constructed, by connecting the microcontroller to the sensor (figure 2) and then the sensor was calibrated by a standard procedure for Arduino MQ sensors [5]. Through the procedure of calibration, the value of the resistance of the sensor was measured at the place where the experiment took place.…”

Section: Experimental Methodsmentioning

confidence: 99%

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment

Malasidis¹,

Dintsios²

2021

Phys. Educ.

View full text Add to dashboard Cite

The present paper examines whether there exists a change in the concentration of carbon dioxide that is trapped in the surgical facemask during the procedure of respiration and whether the results of the sequestered CO2 can have harmful effects on the human organism. In order to answer the research questions, an experiment has been designed and implemented, with the use of an Arduino microcontroller (Arduino UNO) and a gas sensor (MQ-135). The experiment was conducted by measuring the exhaled CO2 concentration level using an appropriate experimental layout—at first without a surgical mask and then while wearing one. This procedure is repeated three times; therefore, the experiment is divided into three stages. In every stage there is change as far as the respiration method is concerned: first, the measurement takes place without the ongoing use of a surgical mask, then while wearing it, and finally while wearing it after 45 min of use. According to the results of the experiment, there is an observation of sequestration of carbon dioxide trapped in the mask.

show abstract

Section: Experimental Methodsmentioning

confidence: 99%

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment

Malasidis¹,

Dintsios²

2021

Phys. Educ.

View full text Add to dashboard Cite

show abstract

“…The calibration of the MQ-135 sensor was conducted before being implemented on the IoT device to properly capture the CO2 target gas. Prior to that, pre-heating of the sensor was carried out for 24 hours in an empty classroom to ensure that the sensor gets calibrated properly to produce a stable Ro resistance value [12]. Calibration begins by taking the Ro value at a certain temperature and humidity conditions in the classroom.…”

Section: A Iot Device For Dataset Collectionmentioning

confidence: 99%

Classroom Occupancy Monitoring System using IoT Device and the k-Nearest Neighbors Algorithm

Fidarliyan,

Prasetijo,

Eridani

2022

Jurnal Teknik Elektro

View full text Add to dashboard Cite

The occupancy monitoring system is one of the substantial aspects of building management. Through monitoring the occupancy in the area in a building, the obtained information can be used for building management purposes such as controlling indoor area air quality and improving building security. Some technologies such as video surveillance cameras, Radio Frequency Identification (RFID), and motion sensors have been used in the occupancy monitoring system. However, those technologies pose several disadvantages including privacy concerns and limited information generated. A classroom occupancy monitoring system using an Internet of Things (IoT) device and the k-Nearest Neighbors (k-NN) algorithm was built to monitor classroom occupancy by classifying the number of occupants based on classroom environmental data into occupancy levels by using the k-NN classifier model. By utilizing IoT devices, CO2, temperature, and humidity data in a naturally ventilated classroom were recorded using the MQ-135 and BME280 sensors, as well as WiFi-based NodeMCU, was used to distribute data to the cloud. The collected data were trained and tested by the k-NN algorithm to produce a k-NN classifier model. From the tests conducted, the performance of the k-NN classifier model in classifying the number of occupants into occupancy levels resulted in an accuracy of 88%. In addition, the proposed system also produces a web-based classroom occupancy monitoring application that has been integrated with the k-NN classifier model so the classification can be done for real-time data and monitored directly.

show abstract

Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)

Bolivar

Sarmiento

Alzamora

2023

Communications in Computer and Information Science

View full text Add to dashboard Cite

Calibration and standardization of air quality measurements using MQ sensors

Cited by 7 publications

References 5 publications

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment

Classroom Occupancy Monitoring System using IoT Device and the k-Nearest Neighbors Algorithm

Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)

Contact Info

Product

Resources

About

Calibration and standardization of air quality measurements using MQ sensors

Cited by 7 publications

References 5 publications

Effect of the surgical mask on the inhaled CO2 concentration: a high school lab experiment

Effect of the surgical mask on the inhaled CO2 concentration: a high school lab experiment

Classroom Occupancy Monitoring System using IoT Device and the k-Nearest Neighbors Algorithm

Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)

Contact Info

Product

Resources

About

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment

Effect of the surgical mask on the inhaled CO₂ concentration: a high school lab experiment