Design of air temperature and humidity measurement based on Arduino ATmega 328P with DHT22 sensor

Wibawa, I Made Satriya; Putra, I Ketut Gede Darma

doi:10.53730/ijpse.v6n1.3065

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Pada thermometer sebagai alat ukur suhu dan hygrometer sebagai alat ukur kelembaban, salah satu sensor yang digunakan untuk mengukuran suhu dan kelembaban yaitu DHT22 yang merupakan sensor digital kelembaban dan suhu relative, sedangkan Sensor DHT22 untuk mengukur udara yang ada disekitarnya dengan memiliki sinyal keluaran pin data yang terdapat dikapasitor dan termistor. Hal ini dikarenakan kualitas dinilai dari respon proses akuisisi data yang cepat dan ukurannya yang minimalis dengan harga relatif murah dibanding dengan alat thermohygrometer [17]. Beberapa penelitian menggunakan sensor DHT22 dan mikrokontroler ATmega 16U2 sebagai alat pengukur suhu dan kelembaban [18].…”

Section: B Dht22unclassified

SIMULASI SISTEM MONITORING OKSIGEN TERLARUT (DO) PADA BUDIDAYA UDANG VANAME BERBASIS INTERNET OF THINGS (IoT)

Yanti,

Putri,

Fajriyah

2023

j_ict

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Indonesia has a prospective fishery sector, with an elongated coastline making it potential in the vannamei shrimp farming sector using an Internet of Things (IoT)-based system. Vannamei shrimp (Litopenaeus vannamei) is cultivated with an intensive application of high-density systems with a stocking density of 150 m2, so vannamei shrimp cultivation, namely water quality management to balance the bioenergy metabolism of shrimp, requires water quality such as dissolved oxygen (DO) to increase yields and production. To increase production yields, a system is needed that can monitor dissolved oxygen (DO) levels, an important factor for shrimp growth. The minimum DO level for shrimp growth is 3.0 mg/L, and DO that has the potential to cause mortality is <2.0 mg/L, while the optimal DO value for vannamei shrimp cultivation is >3 mg/L with a tolerance of 2 mg/L. The simulation results of an IoT-based system state that if the green light is on as a sign that the oxygen in the pond has been fulfilled, the results of dissolved oxygen readings are good or normal as seen from the display on the LCD, and the simulation value of the temperature system analysis is seen using ThingsBoard, so that the simulation system can be implemented in real terms.

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Section: B Dht22unclassified

SIMULASI SISTEM MONITORING OKSIGEN TERLARUT (DO) PADA BUDIDAYA UDANG VANAME BERBASIS INTERNET OF THINGS (IoT)

Yanti,

Putri,

Fajriyah

2023

j_ict

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“…The main environmental factors in an incubator are temperature, humidity, oxygen levels, and illumination. It is important to take into account, carefully control the noise in the NICU room, mostly caused by life support machines [15]. Medical staff must keep a close eye on baby incubators in neonatal rooms to make sure the right temperature and humidity levels are maintained.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Computer Monitoring)

Ningsih,

Irianto,

Lamidi

et al. 2023

Indones.J.electronic.electromed.med.inf

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Premature infants, with a gestational age of 37 weeks or less and weighing less than 2500 grams, face challenges in adapting to the outside world due to the underdeveloped state of their organ systems. Special care is essential to support their growth and development, including maintaining optimal temperature, humidity, and oxygen levels similar to those experienced in the mother's womb. Baby incubators play a crucial role in providing these conditions. This study aims to develop a convenient monitoring tool for midwives and healthcare workers responsible for multiple baby incubators. The tool operates independently and is compatible with various brands of baby incubators. Leveraging an IoT system, it utilizes ESP32 and Raspberry Pi Zero W modules for data transmission. The tool incorporates a DS18B20 sensor for monitoring skin temperature and a DHT22 sensor for monitoring the temperature inside the incubator chamber. Using a pre-experimental design with an after-only research design, the tool's measurements are compared against an incubator analyzer. The study reveals that the developed module still exhibits some measurement errors. However, despite these limitations, the research is expected to greatly assist medical personnel in simultaneously monitoring multiple baby incubators. Keywords : Premature infants, Baby incubators, IoT, Temperature, ESP32, Raspberry Pi Zero W

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Mining cap light based on EEG control

Chen

2024

J. Phys.: Conf. Ser.

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A new type of lamp holder based on brain-computer interface control is proposed, which makes the application of new technology in underground mining intelligent, including eye potential and myoelectricity generated when you blink. The extraction of brain wave shapes with different frequencies can reflect the state of the human brain. The current brain wave frequency mainly studied is between 0-100 Hz. The concrete method is to extract the original brainwave data by Fourier transform and wavelet transform. A double-threshold blink detection algorithm is designed, which can effectively avoid pseudo-blink interference and extract the concentration. And the function verification is carried out. The specific implementation method is to use the TAGM module to collect and preprocess brainwaves and transmit them to the Arduino controller through the Bluetooth module to generate control instructions. The results show that the scheme is effective.

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Design of air temperature and humidity measurement based on Arduino ATmega 328P with DHT22 sensor

Cited by 5 publications

References 13 publications

SIMULASI SISTEM MONITORING OKSIGEN TERLARUT (DO) PADA BUDIDAYA UDANG VANAME BERBASIS INTERNET OF THINGS (IoT)

SIMULASI SISTEM MONITORING OKSIGEN TERLARUT (DO) PADA BUDIDAYA UDANG VANAME BERBASIS INTERNET OF THINGS (IoT)

Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Computer Monitoring)

Mining cap light based on EEG control

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