IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study

Megantoro, Prisma; Aldhama, Shofa Aulia; Prihandana, Gunawan Setia; Vigneshwaran, P.

doi:10.12928/telkomnika.v19i4.18990

Cited by 23 publications

(15 citation statements)

References 23 publications

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“…The ESP32 uses the Tensilica Xtensa LX6 microprocessor as the core. The ESP32 can be used as a complete stand-alone system or as a slave system to a host controller unit [24]- [28]. ESP32 can be paired with other systems to provide Wi-Fi functionality via its SPI or i2c interface.…”

Section: Hardware Designmentioning

confidence: 99%

Instrumentation system for data acquisition and monitoring of hydroponic farming using ESP32 via Google Firebase

Megantoro

Prastio

Kusuma

et al. 2022

IJEECS

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This article discusses the design of a hydroponic planting process monitoring system based on the internet of things. This device uses an ESP32 microcontroller board as the main controller. The parameters that were monitored and acquired were the conditions of the hydroponic growing media. Those parameters are; water pH, water temperature, water turbidity level, and ambient air temperature and humidity. The five parameters are measured by analog sensors integrated with the ESP32. These parameters affect the growth process and the quality of crop yields. This article also describes the calibration method for each sensor used for parameter measurement. Then the monitoring of these parameters is carried out by utilizing a real-time database, namely Google Firebase. This platform is very suitable for all IoT-based monitoring and control applications. Measurement result data is uploaded and saved to the real-time database. Then paired by Android-based applications. This application was created to be used by hydroponic farmers who use this device. Thus the results of monitoring can be used to optimize the process of growing hydroponic plants.

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Section: Hardware Designmentioning

confidence: 99%

Instrumentation system for data acquisition and monitoring of hydroponic farming using ESP32 via Google Firebase

Megantoro

Prastio

Kusuma

et al. 2022

IJEECS

Self Cite

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“…When the circuit is given a single 5V power supply, the voltage generated on the heating element (VH) is 1.7 V. A single resistance value R6 of 56 kΩ (resistance load), which is connected with the internal resistance of the RS sensor (resistance when there is a gas target) [24]. Therefore, the OX sensor signal output path marked "NO2_VALUE" is connected to the 10-bit ADC microcontroller based on the voltage divider principle [25]. The ratio of resistance Rs and Ro (resistance sensor in clean air) is mathematically expressed as follows [26].…”

Section: Microcontroller and Driver Circuitrymentioning

confidence: 99%

Low-cost nitrogen dioxide monitoring station based on metal oxide sensor and cellular network

Purbakawaca¹,

Yuwono²,

Alatas³

et al. 2022

IJEECS

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Air pollution has a negative impact on the environment and human health. Meanwhile, the number of conventional air quality monitoring stations is minimal due to high procurement and operational costs. This study proposes a nitrogen dioxide (NO2) pollutant measurement system using the metal oxide sensor (MOX) sensor and cellular network for data transmission in the measurement area. A calibration curve is used to measure NO2 levels based on the sensor's internal resistance changes. Measurement data of NO2 concentration, air temperature, relative humidity, and geospatial information are compiled and sent via global positioning system (GSM), general packet radio service (GPRS) radio communication with transmission intervals of every minute. The database server processes the data and displays it on the web application. System testing results at the Tugu Kujang Bogor at 15:38:00-16:38:00 September 23, 2021, showed that the concentration of NO2 ranged from 0.16-0.52ppm with an average of 270 ppb with an AQI of 133 in the unhealthy category for the sensitive group. The measured NO2 levels are outside the range of the NO2 concentration database in the industrial areas of Bogor and Jakarta for the 2016-2020 period. Therefore, this system provides an excellent opportunity to obtain real-time measurement data in the field.

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“…Also, in the article [8] it tells us that, during pandemics of airborne diseases such as the current situation, people should pay attention to the quality of ambient air. Since the concentration of different gases present in the air is a determinant of the value of air quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of a Weather Station with IoT in the Wetlands of the District of Ventanilla – Callao.

Cerdan¹,

Arenas²

2022

IJETAE

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Currently, pollution and global warming is a very controversial problem, due to the various consequences and effects it generates on health and the environment. There are studies that highlight that the main pollutants are due to human action that generates the extermination of certain ecosystems, as well as the increase in various acute and chronic diseases. The ecosystems most neglected by the authorities and the citizens are the wetlands, which can be seen reflected in the wetlands of Ventanilla, whose surface has been reduced from 1,500 to 275.45 hectares due to overpopulation and contamination by the citizens themselves in recent years. These accessions endanger the extermination of the habitat of 126 birds and 27 species of native plants that inhabit a certain place, which is of great concern because these ecosystems are rapidly degrading. That is why, in the face of this problem, the design of a weather station applying the internet of things is proposed, which aims to inform the caretakers of the current state of the wetlands through a web server, where it will serve to carry out preventive actions. regarding the care of a certain ecosystem that are essential for the stabilization of CO2 emissions. This system is made up of the ESP32 platform, which will activate the emergency lights and a siren when the DHT 22, BMP180, ML8511 and MQ135 sensors detect abnormal values in temperature, humidity, atmospheric pressure, altitude, UV radiation and toxic gases.

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IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study

Cited by 23 publications

References 23 publications

Instrumentation system for data acquisition and monitoring of hydroponic farming using ESP32 via Google Firebase

Instrumentation system for data acquisition and monitoring of hydroponic farming using ESP32 via Google Firebase

Low-cost nitrogen dioxide monitoring station based on metal oxide sensor and cellular network

Design of a Weather Station with IoT in the Wetlands of the District of Ventanilla – Callao.

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