Low Cost CO2 Sensor Prototype with IoT

This prototype of a CO2 sensor with Internet of Things (IoT) offers an affordable solution for measuring carbon dioxide (CO2) concentrations in parts per million (ppm). It utilizes specialized sensors to detect CO2 concentrations in the environment. The prototype combines multiple CO2 measurement sensors with an Arduino microcontroller to process the collected data and provide comprehensible ppm CO2 readings. Additionally, an ESP-32 has been incorporated to enable IoT connectivity, allowing for the transmission of CO2 readings to a cloud platform. This platform displays the most recent readings and maintains a brief history of previous measurements, providing real-time insights into CO2 conditions and a record for analysis. A noteworthy feature of this prototype is its buoy system, which enables operation in aquatic environments while minimizing the risk of submersion, ensuring that the sensor remains on the water’s surface without direct contact with the liquid.

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Publication Details

Journal
Engineering headway
Published
2024-09-30
DOI
https://doi.org/10.4028/p-w5htxr
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.21
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article

Low Cost CO2 Sensor Prototype with IoT

Martín G. Martínez‐Rangel, Ema Aracely Galindo Talhami, Orlando Aguiluz
1 citations
Engineering headway
Air Quality Monitoring and Forecasting
0.21
article

Low Cost CO2 Sensor Prototype with IoT

Martín G. Martínez‐Rangel, Ema Aracely Galindo Talhami, Orlando Aguiluz
article en
1 citations

Abstract

This prototype of a CO2 sensor with Internet of Things (IoT) offers an affordable solution for measuring carbon dioxide (CO2) concentrations in parts per million (ppm). It utilizes specialized sensors to detect CO2 concentrations in the environment. The prototype combines multiple CO2 measurement sensors with an Arduino microcontroller to process the collected data and provide comprehensible ppm CO2 readings. Additionally, an ESP-32 has been incorporated to enable IoT connectivity, allowing for the transmission of CO2 readings to a cloud platform. This platform displays the most recent readings and maintains a brief history of previous measurements, providing real-time insights into CO2 conditions and a record for analysis. A noteworthy feature of this prototype is its buoy system, which enables operation in aquatic environments while minimizing the risk of submersion, ensuring that the sensor remains on the water’s surface without direct contact with the liquid.

Engineering headwayVol. 12
Central American Technological University (HN), Universidad de Tecnología y Comercio (NI), Center Technological University (VE), Corporación Universitaria Unitec (CO), Universidad Autónoma del Estado de Morelos (MX), Technological University of Mexico (MX)
Openalex Percentile: Top 50%
Air Quality Monitoring and Forecasting
0.21
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