smoke sensor
Recently Published Documents


TOTAL DOCUMENTS

59
(FIVE YEARS 29)

H-INDEX

7
(FIVE YEARS 1)

Author(s):  
Dr. Aziz Makandar

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


Author(s):  
Aris Budi Sulistyo ◽  
Benny Dwifa ◽  
Nengah Widiangga ◽  
Asep Eka Nugraha

This research is about constructing a prototype of fire detection warning system on Apron Passenger Bus. The prototype can detect certain possibility of fire and give early warning to the driver. It works automatically based on three sensors used, which are smoke sensor, temperature sensor and flame sensor. The prototype is constructed using these three sensors and combined with Arduino microcontroller. This microcontroller has a role of transmitting information to the alarm system as a fire indicator. Method used in this research begins with simulation of a fire warning system and continued by implementation on hardware. The prototype works successfully on detecting fire both on software and hardware basis.


2021 ◽  
Vol 2113 (1) ◽  
pp. 012057
Author(s):  
Yang Wang ◽  
Lichun Han ◽  
Yonghui Zhao ◽  
Yuquan Xue ◽  
Liming Wang

Abstract With the rapid development of society and economy, various laboratories have become more complete in number and equipment, but subsequent laboratory accidents frequently occur. Therefore, it is imperative to construct a laboratory safety management system to ensure the safety of laboratory personnel and complete equipment. This article intends to design a smoke alarm, which mainly includes measuring the sensitivity of the smoke sensor to the concentration of smoke in the air, and the linear change of the sensor converting the corresponding analog signal into a digital signal. By designing the fan speed to be controlled by the change of smoke density, the speed of the motor is adjusted. And the alarm module can sound an alarm when the smoke concentration is certain, and at the same time, it can automatically cancel the alarm when the smoke concentration decreases. Finally, a simulation experiment is designed to simulate the effect of the sound alarm of the smoke alarm disperser on the dispersal of smoke under different working environments.


2021 ◽  
Author(s):  
Min Zhang ◽  
Jian Fang ◽  
Yong Wang ◽  
Wenxiong Mo ◽  
Fang-zhou Hao ◽  
...  

Author(s):  
M. Ravindra Kumar ◽  
P. Satya ◽  
S. Swathi ◽  
S. Manoj Kumar ◽  
P. Sandeep

Now a day’s road accident is one of the principal concerns in our states. Reckless automobile driving and driver drowsiness are the major motives in the back of those road accidents. The alarming rate of accidents and uncontrollable automobiles on the streetdemand an automatic system that could guide drivers right now in dangerous conditions. While any obstacle (just like the human, vehicle, and some other item) comes in front of the vehicle, control speed of the vehicle is the viable strategy to keep away from injuries. While a driver in a drowsy state or sleep state, give warning to the driver and control the velocity of the vehicle is the possible way to keep away from injuries. We endorse a solution in our mission to avoid avenue injuries and to manipulate the rate of automobiles. The machine will locate boundaries and motive force drowsiness using an ultrasonic Sensor and eye blink sensor and Arduino will execute a collision-avoidance gadget according to a pre-burnt code in the Arduino. The machine has also velocity manipulate features. It’s going to reduce or increase the rate of the vehicle relying on the impediment distance from the shifting car to decrease the damage or collision of an accident. Furthermore, if any obstacle from the bottom comes in the direction of cars, right now a buzzer will alert the driving force, and if any quick circuit happens in the engine element smoke sensor detecting and gives alert to the driving force and stop the automobile.


Author(s):  
Rilwanu Bello ◽  
Bashir Abdullahi Sama ◽  
Nura Gambo ◽  
Yusuf M. Ahijo

Aim: The aim of this research is to design an automatic fire detection and control. Methodology: The system consists of two sensors, microcontroller, buzzer and a pump/sprinkler. An LM35 integrated chip has been used as temperature sensor while MQ-2 gas sensor has been used as smoke sensor. All sensors are connected to the microcontroller through an input/output port. The controlling software for the whole system was designed in C programming language. The popular high performance, low power 8-bit microcontroller from the AVR family microcontrollers has been used. The system was finally tested by introducing fire parameters (smoke and temperature) close to the smoke and temperature detectors respectively. When the parameters go above the set level in the detectors, audio alarm, light indicator and pump/sprinkler were activated. The measured temperature of the system was compared with the reference temperature.   Results: The result showed that there was a mean deviation of 1.550C between the measured values and reference values which served as the control.   Conclusion: The constructed system is compact and easy to install. The constructed fire control device is quite cheap and affordable to every category of person.


Author(s):  
Nivedita Padole & Anshu Choudhary

In today’s era, wildlife and forest departments are facing the problem of movement of animals from forests to residential area. The number of trees has reduced drastically which creates an unhealthy environment for animals and for humans. Findings of a survey suggest that 80% losses are caused due to wildfire. This could have been avoided if the fire was detected in the early stages. This paper suggests a system for alarming the authorities in case of a bushfire. Nowadays, IoT (Internet of Things) devices and sensors allow the monitoring of the forest ecosystem, such as temperature and smoke. Arduino platform based IoT enabled fire detector and monitoring system is the solution to this problem. In this paper, fire detector using Arduino NANO is built which is interfaced with a fire sensor and smoke sensor. Whenever fire occurs, the system automatically senses and alerts the administrator by sending the message on the user’s mobile device.


2020 ◽  
Vol 7 (2) ◽  
pp. 109
Author(s):  
Abdul Zain ◽  
Rudi Hartono ◽  
Sri Handani W

Conflagration is an unpredictable tragedy. It may occur whether in the woodland areas or in the residential areas. Typically, it would only be recognized if indeed the flames spread and the smoke intensified. This study aims to detect fires using the MQ-2 smoke sensor, DS18b20 temperature sensor, and fire sensor. Using Arduino Uno as the controller, this system’s output is in the form of an alarm buzzer, Short Message Service (SMS) information using SIM800L, and an automatic fire pump. This system operates to detect the temperature shifts, the smoke concentration and the existence of a fire point which triggers an alarm in the form of a siren if two out of the three sensors are activated. It, then, sends information by Short Message Service (SMS) and automatically triggers the pump as the result. The fire sensor can detect hotspots with a maximum distance of 80 cm and the DS18b20 temperature sensor has an average reading error of 0.27 ° C with a maximum reading error of 0.5 ° C. The MQ-2 smoke sensor can detect smoke where the change in smoke concentration is directly proportional to the sensor output voltage. There are three conditions to determine fire conditions, namely the temperature sensor reads more than equal to 55 ° C and the fire sensor is active, or the temperature sensor reads more than equal to 55 ° C and the smoke sensor reads more than equal to 1000 ppm, or the fire sensor is active and smoke sensor reads greater than equal to 1000 ppm.


Author(s):  
Santhiya M ◽  
Siva Rathnam M ◽  
Radha Krishnan T ◽  
Nishanth S

Wildlife and wildlife authorities face the problem of animal migration from woodland to residential areas in the present environment. Natural calamities triggered by nature, wind and dry undergrowth will destroy acres of land and consume everything in their way that causes significant harm to both natural and human capital. The proposed system to design an IoT-based system that will be able to detect the fire as soon as possible before the fire spreads over the wide area and prevent poaching. Raspberry interfacing with a temperature sensor, a smoke sensor, webcam and a buzzer. GSM gateway is used to conduct this project to provide the user with the final SMS via given number in simulation program. The temperature sensor used to indicate high and low temperatures, the PIR sensor designed to track human activity on the LCD display, the flame sensor used to signify the intensity of flames and the forest fire observed on the LCD display. Once large, image processing is used to determine the accuracy of the fire rate. Wireless Sensor Network (WSN) for data processing to be used as input data in our control system. WSN comprising of temperature sensor system and GPS module to sense forest fire by measuring the level and sending its position to the server utilizing GSM communication contact and GPS functionality. Raspberry Pi cluster, a complicated computation is broken into multiple parts using MPI, and each component runs on separate raspberry pi device. Such sections will be analysed in sequence and then MPI must merge the output and turn it over to the user, essentially they operate as individual units (but in tandem and together) to produce very quick results.


Sign in / Sign up

Export Citation Format

Share Document