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Design of IoT-Based Home Fire Detection System Equipped with a Data Logger
Author(s) -
Tatik Juwariyah,
Sugeng Prayitno,
Luh Krisnawati,
Sri Sulasminingsih
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1125/1/012079
Subject(s) - data logger , arduino , computer science , real time computing , computer hardware , embedded system , operating system
In Industrial Era 4.0, one of the solutions to secure a house from potential fires is to design a smart home. The smart home design described in this paper is the design of a home monitoring system for potential fires. Home fire early detection monitoring system is designed based on the IoT concept and is equipped with a data logger. Data loggers function as data logging and data recorders from time to time. The hardware system design consists of Arduino Mega2560, ESP8266, fire sensor, gas sensor and datalogger module as data storage. The software design that also functions as a system monitoring display is the Blynk application on Android smartphones. Fire sensor and gas sensor activities were recorded on the data logger module. The system test was carried out around the gas stove in the kitchen room. The system design results were displayed via the Blynk application on a smartphone. Fire detection system is a change in the Virtual Button from the initial color to red. While the monitoring display of the gas detection system is in the form of moving the Virtual Level when a gas leak is detected. Fire sensor activity recording data from the datalogger is displayed in the form of a graph of the relationship of the working voltage of the fire sensor versus time. While the data recording of gas sensor activity from the datalogger is displayed in the form of a graph of the relationship of gas concentration versus time. All system response results and graphic data are displayed in realtime through the Blynk application on a smartphone. In addition, system performance data records are stored on a micro SD card for further analysis. From the results of the design of this system is expected to be a reference of home monitoring technology from potential fire equipped with a data storage system.

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