An Intelligent Fire Detection and Mitigation System Safe from Fire (SFF)

Mobin, Iftekharul; Abid-Ar-Rafi,; Islam, Neamul; Hasan, Rifat Afifa

doi:10.5120/ijca2016907858

Cited by 30 publications

(2 citation statements)

References 17 publications

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“…This fire sensor is very sensitive to fire and also on the fire spectrum. [5] Not only that, this fire sensor has the advantage of detecting fire with wavelength of 760 nm -1100 nm which is a special distance infrared light with a 60 degree angle and detection distance of approximately 3 feet or can be up to 100 cm. If temperature reaches very high, then output high and low threshold needs to be adjusted accordingly.…”

Section: Literature Studymentioning

confidence: 99%

Location Based Fire Detection, With Nearest Fire Fighter Finder

Setiawan

2021

proxies

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The lack of fire department makes it hard for most people to contact where the nearest fire department to the scene. Furethermore, when the fire department location was founded it is still a challenge for the fire fighters to find exact location of the fire. For this reason, we used sensitive sensors of fire to the flame. The project used arduino uno microcontrollers, fire sensors, Neo-7m Ublox GPS, ESP8266, and wavecom. As soon as the flame sensor detects the flame, ESP8266 will send the gps data from the home location to the web server www.thingspeak.com which then data from thingspeak is taken to do the nearest distance search using the method of Haversine Formula then send the sms using wavecom sms gammu gameway to the firefighter the nearest fire. The final result of this project shows that the flame sensor can detect a flame of about 75 cm, the GPS accuracy level approaches 100%, ESP8266 can transmit data to Thingspeak by about 20 seconds, accuracy method of accurate formula accuracy calculates Distance near 100% SMS Gateway Wavecom sends sms less than 10 seconds.

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Section: Literature Studymentioning

confidence: 99%

Location Based Fire Detection, With Nearest Fire Fighter Finder

Setiawan

2021

proxies

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“…The intelligent multi-data fire detection detection system is by no means combined with the simple structure of the original single-parameter fire detector, but realizes the simultaneous detection of multiple detectors and performs intelligent signal processing in time [3][4]. According to different types of fire parameters measured at different times, intelligent algorithms are used to fuse the fire parameters of multiple sensors to determine whether there is a risk of fire [5][6]. It not only significantly enhances the ability to distinguish between true and false fires, but also has high flexibility and sensitivity to different types of fires [7][8].…”

Section: Introductionsmentioning

confidence: 99%

Digital Print Synthesis Based on Image Processing and Interactive Technology

Sun¹

2022

J. Phys.: Conf. Ser.

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Fire is a common disaster, which causes major threats and losses to human life and property. Countries around the world have been committed to the study of the mechanism and internal mechanism of fires, with the goal of preventing fires from occurring and minimizing the losses caused by fires. Among the many methods, fire detection technology is an effective method to prevent and reduce the occurrence of fire. This article focuses on the research of the fire detection system based on artificial intelligence technology, improves the accuracy of the fire detection system by introducing artificial intelligence technology into the fire detection system, and uses experiments to verify the error rate of the artificial intelligence technology fire detection system. The experimental results show that the system’s detection of fire is not very different from the actual situation, and the error rate is within 10%. Then compared with the traditional detection system, the detection performance is relatively high, and the error rate can be reduced by one time.

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