Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality

Irawan, Yuda; Wahyuni, Refni; Muhardi,; Fonda, Hendry; Hamzah, Muhammad Luthfi; Muzawi, Rometdo

doi:10.3991/ijim.v15i10.20707

Cited by 21 publications

(8 citation statements)

References 12 publications

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“…The research method for developing this system is sequenced in stages that was adapted from [17], which comprised of design development, hardware construction, system development followed by integration and validation. Figure 1 illustrates the overall design concept of the proposed voice-enabled lamp control system, integrated with IOT.…”

Section: Methodsmentioning

confidence: 99%

Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

Zainuddin

Zubir

Aminuddin

et al. 2021

Int. J. Interact. Mob. Technol.

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People with physical mobility disabilities experience limited ability to perform daily routine. Integration between home appliances and Internet of Thing (IoT) can be used to support these people. The technology allows tasks to be performed much more easily and enable access to applications and services that would be a challenge with existing digital user interfaces. However, the developed system that is commercially available is costly and equipped with highly specific interfaces which may require considerable technical competency to conduct system interfacing. The purpose of this study is to develop a low cost IOT system for voice-enabled lamp control by utilizing Google Assistant that is available in commercial Android based mobile devices, allowing user to operate lighting appliances without moving. Personal assistance using Google platform embedded with Arduino microcontroller, ESP8266-based NodeMCU development board and integrated Blynk application allow for remote monitoring capability. The system is remotely controlled from a tablet or smartphone to assist disabled people with restricted mobility, in particular those with lower limb disabilities. The system had been tested and demonstrated that the lamp control can be easily accessed by voice command that is then validated using voice pitch analyzer. Test result indicated that capability of the integrated voice control system is verified up to a maximum distance of 24.5 meter, making it a potential implementation in any customized smart home or room system for people with mobile disability.

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Section: Methodsmentioning

confidence: 99%

Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

Zainuddin

Zubir

Aminuddin

et al. 2021

Int. J. Interact. Mob. Technol.

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“…This stage is carried out when the tool has been repaired after repair and has been connected to IoT [19] [20]. From the results of the final test, the tool made, namely IoTbased pulse oximetry, can already be used for the community and for monitoring it can also be done by the Sapta Taruna Health Center.…”

Section: Product Developmentmentioning

confidence: 99%

IoT-Based Pulse Oximetry Design as Early Detection of Covid-19 Symptoms

Wahyuni

Herianto

Ikhtiyaruddin

et al. 2023

Int. J. Interact. Mob. Technol.

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Covid-19 patients experience several symptoms such as shortness of breath, abnormal heart rate, lung function abnormalities that are similar to pneumonia symptoms. These symptom conditions indicate that the saturation of oxygen (O2) levels dissolved in the blood is not normal. To measure oxygen levels in the blood using a medical device, one of which is a Pulse Oximeter. Covid-19 patients in the Sapta Taruna Health Center were 665 patients, of which this patient was counted from January 2022 to April 2022. Based on information obtained from the Sapta Taruna Health Center, the only patients that were counted were those who did the PCR/Swab test, while the people who were suspected infected with Covid-19 there are still many who do not do PCR/Swab tests, this refusal is due to fear because Hoax information is spread in the community such as: PCR/Swab tests are painful, if the PCR/Swab test results are positive, fear of being ostracized, feel healthy and other reasons. other. Patients who have been tested positive for Covid-19 will be given drugs such as fever medicine, antibiotics, anti-virus, Vitamin C, and others according to the level of symptoms they feel, if the symptoms are felt at a moderate, mild or even asymptomatic stage, they will be advised to isolate independently (Isoma) at home, but there is no further monitoring from the Sapta Taruna Health Center, even though patients who are self-isolating at home may experience a decrease in blood oxygen levels drastically, so these patients need medical devices such as pulse oximetry so that patients who are isoma can perform independent checking, henceforth the current pulse oximetry cannot provide remote information related to the condition of oxygen saturation in the patient's blood. Judging from the problems above, the research team made a product, namely Pulse Oximetry based on IoT, this tool is to measure oxygen saturation in the patient's blood and the data from the measurements made by the patient will be automatically sent to the server and can be viewed on the Sapta Taruna Health Center website, so that the Sapta Taruna Health Center can monitoring the condition of the patient in real time without having to meet directly with the patient.

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“…As a result, it was found that the largest emitter of pollutants is the industry, followed by urban traffic and domestic heating. [10] used MQ-135 and DHT11 sensors for the detection of CO, CO 2 , alcohol, air temperature, and humidity, and transmission through an IoT network composed of an Arduino UNO and a Raspberry Pi. As a result, a platform for monitoring and issuing early warnings of the monitored air quality was configured.…”

Section: State Of the Art In The International Contextmentioning

confidence: 99%

Air Quality Measurement Using an IoT Network: a Case Study

Penagos

Sanchez

Zafra³

2022

Ing.

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Context: The evaluation of air quality in Colombia is localized; it does not go beyond determining whether the level of the polluting gas at a specific point of the monitoring network has exceeded a threshold, according to a norm or standard, in order to trigger an alarm. It is not committed to objectives as important as the real-time identification of the dispersion dynamics of polluting gases in an area, or the prediction of the newly affected population. From this perspective, the presence of polluting gases was evaluated on the university campus of Escuela Colombiana de Ingeniería Julio Garavito, located north of the city of Bogotá, and the affected population was estimated for the month of October, 2019, using the Kriging geostatistical technique. Method: This study is part of the design and construction of an auxiliary mobile station that monitors and reports complementary information (CO and SO2 gases) to that provided by the Guaymaral meteorological station, located in the north of Bogotá. This information is transmitted through an IoT network to a server, where a database is created which stores the information on polluting gases reported by the 14 stations of the Bogotá air quality monitoring network, the information sent by the auxiliary station, and the statistical information of the population present on the university campus. Pollutant gas data and population information recorded from October 1st to 31st, 2019, are the input for data analysis using the Kriging interpolation method and predicting the affected population on said campus. Results: There is a particulate matter concentration of 29 µg/m3 of PM10 in the coliseum and 12,6 µg/m3 of PM2,5 in building G, in addition to 9,8 ppb of O3 in building I, 14,9 ppb of NO2 in that same building, 0,79 ppb of CO in building C, and 0,65 ppb of SO2 also in building C, thus allowing to infer, according to the Bogotá air quality index, a favorable air quality for a population of 2.131 people who visited the campus university during the aforementioned period. Conclusions: The correct integration of the data in the web server and their analysis, carried out in the R language, allowed determining the approximate indicators of the polluting factors around Escuela Colombiana de Ingeniería Julio Garavito. Additionally, to determine the affected population, these indicators were correlated with the information on the registered population that entered the campus during the period under study. Based on the results obtained, it was concluded that the air quality on the campus of Escuela Colombiana de Ingeniería Julio Garavito is favorable, and that 2.131 people benefited daily from these conditions.

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Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality

Cited by 21 publications

References 12 publications

Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

Appliance Control with IOT-Arduino of Voice Command Detection for Mobility Impaired People

IoT-Based Pulse Oximetry Design as Early Detection of Covid-19 Symptoms

Air Quality Measurement Using an IoT Network: a Case Study

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