Automatic Detection of Carbon Dioxide Concentration using IoT

Inside a classroom inhabited by students, carbon dioxide (CO2 ) will be produced. Number of students and inhabiting time will affect the carbon dioxide concentration. This research implementing Internet of Things (IoT) devices to measure carbon dioxide level inside a classroom. Measurements taken are comparing carbon dioxide level of student activity between exam class and regular learning class. On 100 minutes of measurement found that carbon dioxide concentration inside exam class 5% higher than carbon dioxide concentration inside regular learning class with the same number of inhabitants.

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Australian grains free-air carbon dioxide enrichment (AGFACE) facility: design and performance

Crop and Pasture Science ◽

10.1071/cp08354 ◽

2009 ◽

Vol 60 (8) ◽

pp. 697 ◽

Cited By ~ 77

Author(s):

Mahabubur Mollah ◽

Rob Norton ◽

Jeff Huzzey

Keyword(s):

Carbon Dioxide ◽

Atmospheric Carbon Dioxide ◽

Operating Time ◽

Carbon Dioxide Concentration ◽

Growth Yield ◽

Triticum Aestivum L ◽

Interactive Effects ◽

Temporal And Spatial Distribution ◽

And Performance ◽

Carbon Dioxide Co2

The AGFACE project commenced in June 2007 at Horsham (36°45′07″S, 142°06′52″E; 127 m elevation), Victoria, Australia. Its aim is to quantify the interactive effects of elevated atmospheric carbon dioxide concentration (e[CO2]), nitrogen, temperature (accomplished by early and late sowing times), and soil moisture on the growth, yield, and water use of wheat (Triticum aestivum L.) under Australian conditions. The main engineering goal of the project was to maintain an even temporal and spatial distribution of carbon dioxide (CO2) at 550 μmol/mol within AGFACE rings containing the experimental treatments. Monitoring showed that e[CO2] at the ring-centres was maintained at or above 90% of the target (495 μmol/mol) between 93 and 98% of the operating time across the 8 rings and within ±10% of the target (495–605 μmol/mol) between 86 and 94% of the time. The carbon dioxide concentration ([CO2]) measured inside the rings declined non-linearly with increasing distance downwind of the CO2 source and differed by 3–13% in concentration between the two canopy heights in each ring, but was not affected by wind speed or small variations in [CO2] at the ring-centres. The median values for model-predicted concentrations within the inner 11-m-diameter portion of the rings (>80% of the ring area) varied between 524 and 871 μmol/mol but remained close to target near the centres. The design criteria adopted from existing pure CO2 fumigating FACE systems and new ideas incorporated in the AGFACE system provided a performance similar to its equivalent systems. This provides confidence in the results that will be generated from experiments using the AGFACE system.

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Analysis of Carbon Dioxide Concentration Prediction Model and Diffusion Tendency of Expiratory by Simultaneous Multipoint Sensing

Applied Sciences ◽

10.3390/app10134631 ◽

2020 ◽

Vol 10 (13) ◽

pp. 4631

Author(s):

Motokazu Moritani ◽

Norifumi Watanabe ◽

Kensuke Miyamoto ◽

Kota Itoda ◽

Junya Imani ◽

...

Keyword(s):

Carbon Dioxide ◽

Air Quality ◽

Prediction Model ◽

Indoor Air Quality ◽

Indoor Air ◽

Carbon Dioxide Concentration ◽

Predicted Values ◽

Carbon Dioxide Co2 ◽

Intellectual Activities ◽

And Diffusion

Recent indoor air quality studies show that even 1000 parts per million (ppm) concentration of Carbon Dioxide (CO2) has an adverse effect on human intellectual activities. Therefore, it is required to keep the CO 2 concentration below a certain value in a room. In this study, in order to analyze the diffusion tendency of carbon dioxide by breathing, we constructed a simultaneous multi-point sensing system equipped with a carbon dioxide concentration sensor to measure indoor environment. Furthermore, it was evaluated whether the prediction model can be effectively used by comparing the prediction value by the model and the actually measured value from the sensor. The experimental results showed that CO 2 by exhaled breathing diffuses evenly throughout the room regardless of the sensor’s relative positions to the human test subjects. The existing model is sufficiently accurate in a room which has above at least a 0.67 cycle/h ventilation cycle. However, there is a large gap between the measured and the model’s predicted values in a room with a low ventilation cycle, and that suggests a measurement with a sensor still is necessary to precisely monitor the indoor air quality.

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Experimental Study on Cabin Carbon Dioxide Concentration in Light Passenger Vehicles

Engineering Proceedings ◽

10.3390/ecsa-7-08266 ◽

2020 ◽

Vol 2 (1) ◽

pp. 88

Author(s):

Daluwathu Mulla Gamage Preethichandra ◽

Lasitha Piyathilaka ◽

Umar Izhar

Keyword(s):

Carbon Dioxide ◽

Carbon Dioxide Concentration ◽

Co2 Concentration ◽

Initial Study ◽

Long Distance ◽

Long Distance Running ◽

Single Person ◽

Metabolic Activities ◽

Carbon Dioxide Co2 ◽

Total Volatile Organic Compounds

This paper discusses the initial experimental results of monitoring carbon dioxide (CO2) and total volatile organic compounds (TVOC) inside automobiles with different cabin sizes and with different numbers of occupants. The initial study shows that the CO2 and TVOC concentrations are inversely proportional to cabin volume and proportional to passenger numbers and time when the metabolic activities were maintained at the same level. This study was aimed at short distance travel on normal roads, and further studies are to be carried out for long distance running on highways to make sound decisions on automatic air inflow control to maintain the in-cabin air within permissible levels of CO2. The study shows that a CO2 concentration of 1500 ppm is reached by all three light passenger vehicle types used within 20 minutes with a single person and reached a CO2 level of nearly 3000 ppm within the same time with two passengers in the cabin.

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Sistem Pemantau Gas di Tempat Pembuangan Sampah Akhir Berbasis Internet of Things

Jurnal Teknologi dan Sistem Komputer ◽

10.14710/jtsiskom.6.3.2018.100-105 ◽

2018 ◽

Vol 6 (3) ◽

pp. 100-105

Author(s):

Fathur Zaini Rachman

Keyword(s):

Carbon Dioxide ◽

Social Media ◽

Internet Of Things ◽

Environmental Data ◽

The Internet ◽

Time Interval ◽

Data Delivery ◽

Internet Connection ◽

Carbon Dioxide Co2 ◽

The Internet Of Things

This research developed a gas monitoring system in the final waste disposal. The system has implemented the Internet of Things (IoT) using the ESP8266 Wi-Fi module to transmit methane (CH4) and carbon dioxide (CO2) data concentration, as well as temperature and humidity to the ThingSpeak server. Users can monitor and access these environmental data through social media Twitter and websites from anywhere. The fastest data delivery can be obtained with a time interval of 16 seconds on each data packet sent when there is an Internet connection.

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Communication: Photoinduced Carbon Dioxide Binding with Surface-Functionalized Silicon Quantum Dots

10.26434/chemrxiv.5944273.v1 ◽

2018 ◽

Author(s):

Oscar A. Douglas-Gallardo ◽

Cristián Gabriel Sánchez ◽

Esteban Vöhringer-Martinez

Keyword(s):

Carbon Dioxide ◽

Quantum Dots ◽

Atmospheric Carbon Dioxide ◽

Density Functional ◽

Tight Binding ◽

Carbon Dioxide Concentration ◽

Research Area ◽

Silicon Quantum Dots ◽

Dependent Model ◽

Photoinduced Charge

<div> <div> <div> <p>Nowadays, the search of efficient methods able to reduce the high atmospheric carbon dioxide concentration has turned into a very dynamic research area. Several environmental problems have been closely associated with the high atmospheric level of this greenhouse gas. Here, a novel system based on the use of surface-functionalized silicon quantum dots (sf -SiQDs) is theoretically proposed as a versatile device to bind carbon dioxide. Within this approach, carbon dioxide trapping is modulated by a photoinduced charge redistribution between the capping molecule and the silicon quantum dots (SiQDs). Chemical and electronic properties of the proposed SiQDs have been studied with Density Functional Theory (DFT) and Density Functional Tight-Binding (DFTB) approach along with a Time-Dependent model based on the DFTB (TD-DFTB) framework. To the best of our knowledge, this is the first report that proposes and explores the potential application of a versatile and friendly device based on the use of sf -SiQDs for photochemically activated carbon dioxide fixation. </p> </div> </div> </div>

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Carbon Dioxide (CO2) Chemosensitivity and SUDEP

Case Medical Research ◽

10.31525/ct1-nct04134754 ◽

2019 ◽

Author(s):

Keyword(s):

Carbon Dioxide ◽

Carbon Dioxide Co2 ◽

Co2 Chemosensitivity

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Bringing Security to The Smallest Embedded Systems

10.34048/2017.1.f5 ◽

2017 ◽

Author(s):

JOSEPH YIU

Keyword(s):

Internet Of Things ◽

Embedded Systems ◽

Low Cost ◽

Security Requirements ◽

The Internet ◽

Security Measures ◽

Significant Challenge ◽

Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

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PERANCANGAN PROTEKSI KEBAKARAN OTOMATIS PADA KAPAL BERBASIS ARDUINO

Jurnal Teknologi Maritim ◽

10.35991/jtm.v1i2.825 ◽

2018 ◽

Vol 1 (2) ◽

pp. 1-8

Author(s):

Dody Hidayat

Keyword(s):

Carbon Dioxide ◽

Fire Extinguisher ◽

Carbon Dioxide Co2

Kebakaran dapat terjadi dimana saja salah satunya dapat terjadi di alat transportasi air yakni kapal. Kebakaran selalu menyebabkan hal-hal yang tidak diinginkan baik kerugian material maupun ancaman keselamatan jiwa manusia. Seiring dari kejadian tersebut musibah kecelakaan kapal yang disebabkan oleh bahaya kebakaran sangatlah mungkin terjadi. Salah satu yang dapat mencegah kejadian kebakaran pada kapal haruslah dapat mendeteksi dini kebakaran tersebut. Untuk mendeteksi dini terjadinya kebakaran dikapal maka dirancanglah sebuah alat proteksi kebakaran otomatisberbasis adruino. Dimana Arduino merupakan board yang memiliki sebuah mikrokontroller sebagai otak kendali sistem. Sistem otomatisasi atau controller tidak akan terlepas dengan apa yang disebut dengan ‘sensor’. Sensor adalah sebuah alat untuk mendeteksi atau mengukut sesuatu yang digunakan untuk mengubah variasi mekanis, magnetis, panas, sinar dan kimia menjadi tegangan dan arus listrik. sistem yang dirancang ini dilengkapi dengan beberapa sensor diantaranya adalah sensor apiUV-Tron R2868, sensor asap MQ-2 dan kemudian sensor suhuDS18B20. Mikrokontroller sebagai pengendali akan merespon input yang berupa sensor tersebut ketika data yang dibaca oleh sensor mendeteksikebakaran diantaranya mendeteksi adanya asap, kemudian api dan suhu. Sebagai output dari sistem berupa racun api (fire extinguisher)dimana kandungan yang ada pada racun api tersebut berupa Dry Chemical Powder dan Carbon Dioxide (CO2) yang fungsinya digunakan untuk memadamkan api serta dilengkapi buzzer sebagai alarm peringatan jika terjadi kebakaran.

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