A web-based wireless sensor system to measure carbon monoxide concentration

Suryono, Suryono; Surarso, Bayu; Saputra, Ragil; Bardadi, Ali

doi:10.1109/eecsi.2017.8239174

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…Based on the graph in Figure 6, it appears that from 50 to 120 minutes, SO2 concentrations decreased non-linearly. The decrease of a gas concentration non-linearly with time also occurred in CO gas [13]. The measurement and analysis of data from the three samples can be seen in Table 1.…”

Section: The Concentration Of So2 Temperature and Humidity From Diementioning

confidence: 88%

The Monitoring System of Sulfur Dioxide Gas Using a Web-based Wireless Sensor

Sunarno¹,

Purwanto²,

Suryono³

2020

Proceedings of the Proceedings of the 13th International Interdisciplinary Studies Seminar, IISS 2019, 30-31 October 2019, Mala

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Air pollution is a problem that has a serious impact on environmental damage and health. Therefore, it is very important to have a good air pollution monitoring system to obtain data that can describe current air quality conditions. This study employs the design of a continuous, online and real-time air quality monitoring system using the IoT platform and web. The system is made using the Arduino Uno development board based on Mega2560, several sensors including anemometer module, MQ-136, SHT15, and sim900 GSM module which functions as a communication medium between that device and the webserver. The software uses C-language for Arduino as its embedded system and PHP-MySQL for building web applications. The function of the web server in this system is to inform the air quality to the public through the internet as effectively as possible. This system has great potential to strengthen the existing ISPU station. The results of this research show that the device can measure SO2 concentration of exhaust gases from diesel cars and send data to a web server using the internet network.

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Section: The Concentration Of So2 Temperature and Humidity From Diementioning

confidence: 88%

The Monitoring System of Sulfur Dioxide Gas Using a Web-based Wireless Sensor

Sunarno¹,

Purwanto²,

Suryono³

2020

Proceedings of the Proceedings of the 13th International Interdisciplinary Studies Seminar, IISS 2019, 30-31 October 2019, Mala

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“…These provide warning signals to those with impediments like the deaf, blind and deep sleepers to get up quickly and escape a suspected CO incident in any facility. Metal-oxides like tin oxide (SnO2) semiconductor sensor, a data acquisition system, and a communication system from remote terminal unit to a web server have been used for CO detection with an average error of 7.73 ppm, and a mean absolute percentage error of only 2.81% (Suryono et al, 2017). With a three-lead electrochemical CO sensor without battery (2.5 W), and the power consumption of only ~13 mW, a wireless system was set up and used with a Nordic Bluetooth dongle low power protocol to send a trigger to activate Wi-Fi alarms and notifications to the mobile device through the Internet (Chen et al, 2016).…”

Section: Wireless Systemsmentioning

confidence: 99%

An Overview of Solid Fuel Processing, Kinetics, and the Advances in Minimizing Carbon Monoxide Emissions

NYOMBI,

Williams,

Wessling

2023

Preprint

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There is a growing notion that biomass are the best resource to replace the declining fossil fuels, yet both share the long lived human threat: toxic combustion emissions. Among the toxic combustion products is carbon monoxide (CO) that not only causes acute but also chronic ailments. This brief review discusses the solid fuel processing technologies from combustion, thermochemical and biochemical processing to kinetics and thermodynamics including the mechanism for release of CO. It further expounds on the burden that CO has caused England and Wales in the last 25 years. The main gist are the systems that have been developed to minimize human exposure to CO including cooking, heating, catalytic and detection systems. Finally, alternative technologies are discussed that work by changing the chemical nature of solid fuels as a way to minimize CO emissions.

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“…Many recent studies on air pollution have mostly focused on predicting air quality concentrations [14][15] and measuring air quality [16][17][18][19]. Forecasting air quality has been popular, and various approaches have been created for this purpose, including the statistical HMM (Hidden Markov model) [11], grey model first order one variable [12], SVM (Support Vector Machine) [13], and fuzzy time series forecasting model [14][15]. Burkart et al [20] examined the impacts of air pollution, secondhand smoking, and indoor environmental contamination.…”

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confidence: 99%

Modeling a Smart IoT Device for Monitoring Indoor and Outdoor Atmospheric Pollution

Jebaseeli,

Kim,

Lee

2024

SCPE

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Air pollution is caused by chemical, physical, or biological components alters the fundamental properties of the atmosphere, and contaminates the interior or outdoor settings. With the rapid industrialization activity in recent years, there is an urgent need to monitor air quality. The proposed research provides a mechanism for monitoring air pollution in indoor and outdoor environments. The system consists of an IoT-based Arduino device. The Arduino IDE connects the Temperature and Humidity sensor, Grove light sensor, and air quality sensor to measure the air pollutants such as Carbon dioxide CO2, Nitrogen oxide (NOx), and Particulate Matter PM2.5. The sensors work efficiently and provide qualitative findings from the environment when they are exposed to CO2, gasoline, solvents, thinner, formaldehyde, and other harmful chemicals. The Wi-Fi module of the Blues Wireless Notehub is used for secure data routing to the IoT cloud. The Air Quality Index (AQI) measures provide information on whether there is something unsafe in indoor and outdoor environments. For collecting and analyzing the device data, the Notecard is intended to be used with a cloud storage service. Also, the indoor fire detector identifies the incident of fire intimates the users through the alarm, and measures the indoor pollutant at that time. The proposed smart IoT product model would be an excellent device for air quality monitoring because of its long-term consistency and low electricity consumption.

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A web-based wireless sensor system to measure carbon monoxide concentration

Cited by 7 publications

References 4 publications

The Monitoring System of Sulfur Dioxide Gas Using a Web-based Wireless Sensor

The Monitoring System of Sulfur Dioxide Gas Using a Web-based Wireless Sensor

An Overview of Solid Fuel Processing, Kinetics, and the Advances in Minimizing Carbon Monoxide Emissions

Modeling a Smart IoT Device for Monitoring Indoor and Outdoor Atmospheric Pollution

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