Implementation of Multi Sensor Network as Air Monitoring Using IoT Applications

Self Cite

This paper presents IoT-based health care technology in monitoring vital signs in health services. The result designate prototype to detect health parameters is effectiveness for provide real time online information such as heart rate and body temperature This monitoring system is made using the raspberry pi to process sensors for each parameter. The sensor used to detecting heartbeat is pulse sensor and sensor used to detecting body temperature is DS18B20. The heartbeat and body temperature monitoring system will be connected to node-red as an internet of things platform. Node-red will be displaying the data on the webpage and send the patient information to the medical worker's email. Then the medical worker can monitor patient condition directly.

Section: Internet Of Things For Health Monitoringmentioning

confidence: 99%

Prototype Development of Heartbeat and Body Temperature Monitoring System Based on Internet of Things

Taqwa¹,

Handayani²,

Shiddik³

et al. 2021

Self Cite

“…LoRa has a low bit rate and low power consumption, making it suitable for use as a communication platform for the Internet of Things (IoT) technology, which requires a long time resilience of energy sources. Internet of Things (IoT) technology has been applied in many research, such as in our previous research [4][5]. LoRa can send and receive signals up to 15 km in an open area [3].…”

Section: Lora (Long Range)mentioning

confidence: 99%

“…This tool can detect landslide potentials well and can display landslide potential data through the website. Rihab et al [5] designed a landslide detection system using four sensors: capacitive accelerometer, angular rate sensor, magnetometer, and pressure sensor. This landslide detection uses a LoRa-based wireless sensor network system so that sensor data can be sent wirelessly.…”

Section: Introductionmentioning

confidence: 99%

Prototype Design of Landslide Early Detection System Using LoRa and IoT

Taqwa¹,

Fadhli²,

Soim³

et al. 2021

Self Cite

This paper proposes a simple and low-cost landslide early detection system design. This system uses two sensors, namely the HC-SR04 ultrasonic sensor, to detect the soil movement and the YL-69 soil moisture sensor to detect soil moisture levels. Sensor data is processed using Arduino Uno. The soil movement and soil moisture data are sent to the receiving node using the LoRa communication system so that residents around locations with the potential for landslides can access data from the sensor nodes for free. This system is also equipped with an IoT system by using Thingspeak as an IoT platform. Based on the design and testing results, the LoRa system can work well at 250 meters in the channel with many buildings and trees. This research also designs an application to access sensor data via the Thingspeak web server using an Android device.

“…IoT has been implemented in many application such as [32][33][34] in The implementation of android applications in air quality monitoring systems based on the Internet of Things has been carried out in several previous studies, such as in [35] research, which implementing IoT-based android applications as a means of air quality monitoring for smart cities. In this research, MQ-2 sensor has been used to detect Carbon Monoxide (CO), Liquefied Petroleum Gas (LPG) and Smoke.…”

Section: Android As An Iot-based Air Quality Monitoring Applicationmentioning

confidence: 99%

Air Detection Environment System (ADeV) Android-Based Application Detect Air Quality Levels in Parking Area

Handayani¹,

Soim²,

Muhammad³

et al. 2021

Self Cite

Motorized vehicles have exhaust gas which is one of the biggest factors causing high levels of air pollution because they contain harmful gases such as CO, CO2, HC and others. The indoor parking area is the area that is exposed to the largest exhaust gas apart from roads. Therefore, it is necessary to detect air quality to determine the level of exhaust gas in the area. In several previous research, some tools were created to detect the levels of these gases, but they tend to be expensive and not flexible. This research presents an Android-based Air Detection Environment System application using WSN technology to detect air quality levels in the parking area with multi-sensors as hardware for air quality detection systems in parking environments. The application designed to successfully detect air quality due to vehicle exhaust gas in the kind of CO, CO2, HC, PM10, temperature and humidity. This multi-sensor technology can send air quality data to the server and display android applications in the form of air quality status, time and location of the incident. The advantages of this application, the public can find out the environmental conditions in the parking lot in practical, real-time and mobile because they only need to open the application on the smartphone. The existence of this application is expected to increase safety and awareness of individuals against the quality of an unhealthy environment.