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>

scholarly journals GSM Based SMS Alert Fire Alarm System

2021 ◽  
Vol 9 (11) ◽  
pp. 957-962
Author(s):  
Dr. Aziz Makandar
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Cost Effective ◽  
Alarm System ◽  
Fire Alarm ◽  
Alarm Systems ◽  
Lcd Display ◽  
Fire Alarm System ◽  
Smoke Sensor ◽  
Fire Accidents

Abstract: The design of a fire alarm with Arduino-based system by means of GSM Module. The work purposely for house safety where the main point is to avoid the fire accidents occurred to the residents and the properties inside the house. In order to prevent losses accrued from fire accidents, various alarm systems have been developed such as smoke detectors, temperature sensor based systems etc. The design and implementation of a cost effective and reliable GSM based SMS Alert fire alarm system. The device will be able to monitor the temperature of the environment, the smoke level, send SMS alert to an inbuilt GSM number. When the system detects the temperature of 100C or more, it will immediately display an alert notification on LCD display and simultaneously sending an SMS alert to the users upon the high raise temperature in the house. This fire detection system consists of a smoke sensor, buzzer, LCD display and GSM module is interfaced with Arduino board. Keywords: Smoke sensor, GSM Module, Arduino, LED display, Buzzer

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.

IoT Based Automatic Fire Alarm System

2020 ◽  
Vol 2 (1) ◽  
pp. 29-34
Author(s):  
Jeevanandham A.T ◽  
Sivamurgan P
Keyword(s):  
Work Force ◽  
Small Scale ◽  
Alarm System ◽  
Fire Alarm ◽  
Related Data ◽  
Turn On ◽  
Fire Alarm System ◽  
The One ◽  
Smoke Sensor ◽  
Specific Reason

In industry's mishap is a spontaneous and uncontrolled occasion wherein an activity or response of an item, a substance, an individual, or a radiation brings about close to home damage. There are a few mishaps occur because of fire. Fire identifiers are utilized to recognize the fire or smoke at a beginning time and can help in sparing lives. Right now, IOT based alarm has been planned utilizing temperature and smoke sensor. It would not just flag the nearness of fire in a specific reason yet will likewise send related data to portable through IOT. By utilizing the temperature sensor, smoke sensor and there is a simple to advanced convertor, which changes over the simple signs got at the sensor end to computerized and afterward transmits them to a smaller scale controller and to the Arduino. The small-scale controller is modified to turn on the ringer, when the temperature and the smoke arrive at an edge esteem. Simultaneously, Arduino sends the information to the Wi-Fi module ESP8266. ESP8266 will then the accompanying information to the IOT site, where, approved individuals can take fitting measure so as to check the fire. The gadget id is the one-of-a-kind id given to a gadget, which would enable the work force to get data identified with the area, where the fire is detected. This paper can urge numerous new specialists to do investigate in the forthcoming space of IOT.

scholarly journals Research of noise-proof feature of addressable fire indication system with sequential addressing

2019 ◽  
Vol 140 ◽  
pp. 08013
Author(s):  
Ivan Balabanov ◽  
Daria Shtonda ◽  
Maria Nikitina
Keyword(s):  
Electromagnetic Interference ◽  
Impulse Noise ◽  
Control Panel ◽  
Communication Line ◽  
Alarm System ◽  
Fire Alarm ◽  
Fire Alarm System ◽  
Indication System ◽  
The Stability ◽  
Smoke Sensor

Currently, one of the ways to quickly detect fires in buildings is an automatic fire alarm system. The alarm loop is the most “vulnerable” part of the security and fire alarm system. This article is devoted to the study of the stability of the address fire alarm system with serial addressing under the influence of electromagnetic interference and other interfering factors. During the study, the system performance was evaluated when changing the parameters of the communication line and the stability of the transmission of the measured controlled parameter from the multicriteria detector having a heat and smoke sensor to the control panel of the DEMP DT №1. The influence of electrical impulse noise on the stability of the system was evaluated.

scholarly journals Smart Fire Detector utilizing IoT-based Zigbee Sensor

2022 ◽  
Vol 21 (2) ◽  
pp. 1132
Author(s):  
Jung kyu Park
Keyword(s):  
Detection System ◽  
Fire Detection ◽  
Raspberry Pi ◽  
Control Panel ◽  
Alarm System ◽  
Fire Alarm ◽  
Alarm Systems ◽  
Fire Alarm System ◽  
Fire Detector ◽  
Conventional Systems

<pre>There are several differences between the two types of alarm systems, conventional systems and addressable systems. It is important to carefully determine the introduction of a fire alarm system according to the installation environment. Talking about the main difference relates to how the connected device communicates with the main control panel by sending a signal. Cost is another factor that can be a determinant of your chosen fire alarm system. In this paper, we proposed smart addressable fire detection system. In the proposed system, <span>IoT</span> was used and the network was constructed using <span>ZigBee</span> module. In the configured network, it consists of a local server and a control server. The local server controls the addressing sensor and sends the information obtained from the sensor to the control server. The control server receives data transmitted from the local server and enables quick fire action. In the actual implementation, the local server used the Lycra controller and <span>ZigBee</span> module. In addition, the control server used the Raspberry Pi and <span>ZigBee</span> modules and connected to the Ethernet so that the administrator could monitor or control the local server.</pre>

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