Early Warning Systems Using Fire Sensors, Wireless, and SMS Technology

Sandhyavitri, Ari; Amri, Rahyul; Yusa, Muhamad; Fermana, Dedi; Ali, Nurhalim Dani

doi:10.1109/icon-eei.2018.8784315

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…This tool uses an LM35 sensor, a fire sensor, and a humidity sensor. Data from the sensor is processed by the microcontroller and then sent via the HC12 module and the data is stored in databases to be displayed on a computer application, if a fire is detected, the application on the computer will send an SMS via the SMS gateway [4]. In this study, there is a lack of detection that can only be done on the local network.…”

Section: Introductionmentioning

confidence: 99%

Concurrently wireless sensor network using microcontroller for home monitoring against fire

2022

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This paper proposes a prototype fire monitoring system with Wireless Sensor Network (WSN) in order to detect fires in several places at once and facilitate the placement of the detection. WSN is a technology where several sensors work together to establish communication over a wireless network. This prototype fire monitoring system can be monitored through the website in real time and the detection data is stored on the cloud server. This prototype fire monitoring system uses 4 sensor nodes, each of which is placed in several places to detect fires and sends the detection results to the master node. The master node receives and processes the data sent by the sensor node to generate 16 different conditions concurrently, in the event of a fire it will send a telegram message and the condition data to the cloud server. Several attempts to send data from the sensor node to the master node were completely successful and sending data from the master node to the cloud server as well as sending notification messages have been sent properly.

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Section: Introductionmentioning

confidence: 99%

Concurrently wireless sensor network using microcontroller for home monitoring against fire

2022

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“…Sandhyavitri investigated an early warning system using a fire sensor, wireless, and SMS technology. The purpose of the research was to explore the state of the art in developing a package of early warning systems in peat fire disaster mitigation [18]. Devaraj Sheshu implemented a flood warning system using IoT by detecting the water flow rate using IR sensors and water levels using Ultrasonic sensors in rivers and waterways and sending the data via Wi-Fi to the main controller.…”

Section: Introductionmentioning

confidence: 99%

Design Of An Automatic Bell Warning System For Prayer Times In A Net Centric Computing Lab

Juhariansyah

Ritzkal

Hendrawan

2020

jrc

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The development of science and technology has been increasing rapidly, providing convenience in everyday life. Various household appliances and office work tools use electronic devices to ease the works, including bell warning systems for prayer times. The system notifies the people when the times for prayer comes. The warning systems used presently have not operated automatically. The research aimed to design and implement a series of automatic warning bell system for prayer times, that sent a notification to the telegram. It used Arduino Mega 2560 as the data processor. The result found that the tool, equipped with an RTC, a Dfplayer, a loud-speaker, and an Ethernet Shield, worked satisfactorily by sending a notification to the Telegram.

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FF-net: A Target Detection Method Tailored for Mid-to-Late Stages of Forest Fires in Complex Environments

YUAN,

WANG,

YANG

et al. 2024

Case Studies in Thermal Engineering

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Early Warning Systems Using Fire Sensors, Wireless, and SMS Technology

Cited by 3 publications

References 4 publications

Concurrently wireless sensor network using microcontroller for home monitoring against fire

Concurrently wireless sensor network using microcontroller for home monitoring against fire

Design Of An Automatic Bell Warning System For Prayer Times In A Net Centric Computing Lab

FF-net: A Target Detection Method Tailored for Mid-to-Late Stages of Forest Fires in Complex Environments

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