scholarly journals Remote multi-function fire alarm system based on internet of things

2018 ◽  
Author(s):  
Lihui Wang ◽  
Shuai Zhao ◽  
Jianqing Huang ◽  
Jianyu Ji
Keyword(s):  
Internet Of Things ◽  
Alarm System ◽  
Fire Alarm ◽  
Fire Alarm System

scholarly journals Increasing Smoke Classifier Accuracy using Naïve Bayes Method on Internet of Things

2018 ◽  
pp. 19-26
Author(s):  
Alieja Muhammad Putrada ◽  
Maman Abdurohman ◽  
Aji Gautama Putrada
Keyword(s):  
Internet Of Things ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Classification Method ◽  
Alarm System ◽  
Bayes Method ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
Naive Bayes Classification ◽  
Naïve Bayes Classification

This paper proposes fire alarm system by implementing Naïve Bayes Method for increasing smoke classifier accuracy on Internet of Things (IoT) environment. Fire disasters in the building of houses are a serious threat to the occupants of the house that have a hazard to the safety factor as well as causing material and non-material damages. In an effort to prevent the occurrence of fire disaster, fire alarm system that can serve as an early warning system are required. In this paper, fire alarm system that implementing Naïve Bayes classification has been impelemented. Naïve Bayes classification method is chosen because it has the modeling and good accuracy results in data training set. The system works by using sensor data that is processed and analyzed by applying Naïve Bayes classification to generate prediction value of fire threat level along with smoke source. The smoke source was divided into five types of smoke intended for the classification process. Some experiments have been done for concept proving. The results show the use of Naïve Bayes classification method on classification process has an accuracy rate range of 88% to 91%. This result could be acceptable for classification accuracy.

scholarly journals Automatic smoke detection system with favoriot platform using internet of things (IoT)

2019 ◽  
Vol 15 (2) ◽  
pp. 1102
Author(s):  
Mohd Alif Bin Suparman ◽  
Siat Ling Jong
Keyword(s):  
Internet Of Things ◽  
Gas Sensor ◽  
Detection System ◽  
Threshold Level ◽  
Alarm System ◽  
Smoke Detection ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
Arduino Uno ◽  
Smoke Sensor

<span>The available fire alarm system in the market unable to inform occupant that their house is on fire. The occupant remains unknown especially when they are away from their house. Most of the time, the house or building almost destroyed by fire when firefighter comes to the scene due to late inform to Fire and Rescue Department. To this aim, automatic smoke detection system</span><span lang="EN"> using Internet of Things (IoT) is proposed. The proposed system not only able to monitor the smoke condition of a room but also able to alert user and Fire and Rescue Department when certain level of smoke is detected by a gas sensor via Favoriot platform. Arduino Uno is used in this work to control all the devices and WiFi shield acts as a medium to interconnect devices with the network so that </span><span>the data from the smoke sensor can be read in the Favoriot platform. In this experiment, the condition of room is tested under several burning materials and the smoke levels are recorded. It is found that when the smoke level more than 100 ppm, it may cause to sore eyes, cough and hard breathing that can bring to death. Therefore, the best threshold level of the automatic smoke detection system is at 80 ppm. By using this system, the user able to take preliminary rescue action to save people and prevent fire breaks out</span><span>.</span>

Development of Novel Fire Alarm Warning System Using Automated Remote Messaging Method

2015 ◽  
Vol 793 ◽  
pp. 578-584
Author(s):  
M.S. Jamri ◽  
Zul Hasrizal Bohari ◽  
M.F. Baharom ◽  
M.H. Jali ◽  
M.N.M. Nasir ◽  
...  
Keyword(s):  
Warning System ◽  
Fire Department ◽  
Smoke Detector ◽  
Alarm System ◽  
Fire Alarm ◽  
Gas Leakage ◽  
Design And Implementation ◽  
Prevention System ◽  
Fire Alarm System ◽  
Building Owner

This paper discussed on design and development of fire warning system using automated remote messaging method. This device enables to alert the owner whenever fire occur that need rapid attention towards the building. This is maybe due to carelessness of user or gas leakage. Fire warning system is an existing project but it will be enhanced. This project discussed the design and implementation of a fire alarm system using the microcontroller which controlled the entire system. This system comprised of smoke detector that linked to PIC and GSM Modem. When smoke detected, the fire alarm will triggered and send a signal to the PIC. The PIC will process the data and transmit the signal to the GSM modem. The GSM modem will send message to alert the building owner. The owner can make further action by informing the nearest fire department. This module is applied for transferring of GSM SMS message to the owner mobile number. The devices can be the early and fast prevention system for building owner.

A Study of Remote Monitoring Fire Alarm System Based on Internet of Things

2014 ◽  
Vol 977 ◽  
pp. 330-333
Author(s):  
Qi Lin Hao ◽  
Ping Xian Yang ◽  
Ming Jie Wang ◽  
Rui Ma
Keyword(s):  
Remote Monitoring ◽  
Data Transmission ◽  
Short Distance ◽  
Alarm System ◽  
Transmission Network ◽  
Wireless Data ◽  
Fire Alarm ◽  
Fire Monitoring ◽  
Wireless Data Transmission ◽  
Fire Alarm System

In this paper, in order to achieve real-time remote monitoring of fire site, we designed a intelligent remote fire monitoring system based on ZigBee network and GPRS network. This system, used ZigBee and sensor to build data acquisition and short distance transmission network and combined with GPRS wireless data transmission and SMS alarm ,cooperates with the server and PC to build a remote monitoring scheme based on GRPS.

Sign in / Sign up

Export Citation Format

Share Document