Intelligent Algorithm in Automatic Fire Alarm Application

2012 ◽  
Vol 605-607 ◽  
pp. 1851-1854
Author(s):  
Yan Qiu Wang ◽  
Yan Wen Wang ◽  
Chun Mei Pei ◽  
Xiu Qing Yang ◽  
Hai Rong Ye

Characteristics of fire detection signal are proposed that, in fire case non-fire signals caused by other factors can not be separated from fire signals and in non-fire case non-fire signals may produce changes similar to fire signals. An intelligent algorithm is pointed out to reduce false alarm rate and miss alarm rate, it can improve fire alarm accuracy. The intelligent algorithm includes digital filter, sensitivity autoregulation, drift aotocompensation and rising rate analysis, and it is useful in practical engineering.

2021 ◽  
pp. 1-13
Author(s):  
Hao Li ◽  
Jie Yang

Aiming at the problems of low fire detection accuracy and high false alarm rate of the current intelligent camera fire accident alarm system, a fire accident alarm system based on fuzzy recognition algorithm is designed. By analyzing the structural principle of the fire detection and alarm system, selecting the CO gas, temperature and smoke sensor selection, designing the corresponding fire signal detection circuit, and designing the single-chip system circuit, including the single-chip clock circuit, reset circuit, power supply circuit and A/D conversion circuit design, on the basis of in-depth study of the Bluetooth communication protocol structure, the hardware design of the serial interface circuit of the single-chip microcomputer, PC and Bluetooth module has been completed. The fuzzy recognition algorithm is used to set the input and output, establish the control rule table and reasoning relationship, generate the input and output rule table, preprocess the sensor signal, and finally output the fire alarm model through the fuzzy inference system, so as to realize the fire accident alarm of the intelligent camera. The experimental results show that the fire detection accuracy of the proposed method is high, and can effectively reduce the false alarm rate and false alarm rate of the system.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Rui Wang ◽  
Yahui Li ◽  
Hui Sun ◽  
Kaixin Yang

Aiming at the high false alarm rate when using single sensor to detect fire in aircraft cabin, a multisensor data fusion method is proposed to detect fire. First, the weights of multiple factors, that is, temperature, smoke concentration, CO concentration, and infrared ray intensity in the event of fire, were calculated by using the improved analytic hierarchy process (AHP) method on each sensor node of wireless sensor network, and the probability of fire event in the cabin was evaluated by multivariable-weighted fusion method. Second, based on the mutual support among the evaluation data of fire probabilities of each node, the adaptive weight coefficient is assigned to each evaluation value, and the weighted fusion of all evaluation values of each node is conducted to obtain the fire probability. In the end, compared to the threshold of probability, the fire alarm is determined. Comparing the proposed algorithm to the grey fuzzy neural network fusion algorithm and fuzzy logic fusion algorithm in terms of the time consumption for fire detection and sending alarm and the accuracy of fire alarm perspectives, the experiments demonstrate that the proposed fire detection algorithm can detect the fire within 10s and reduce the false alarm rate to less than 0.5%, which verifies the superiority of the algorithm in promptness and accuracy. In the meanwhile, the fault tolerance of the algorithm is proved as well.


2021 ◽  
pp. 118-123
Author(s):  
В.Н. Круглеевский ◽  
В.В. Вислогузов ◽  
A.A. Таранцев ◽  
С.Н. Турусов

В настоящей статье рассматриваются вопросы развития пожарных извещателей, контролирующих появление дыма, превышение заданного значения температуры и скорости ее роста, наличие угарного газа и использующих мультикритериальные алгоритмы для оценки обоснованности сигналов тревоги. Анализируются результаты проведенных отечественными организациями сравнительных испытаний мультикритериальных и традиционных «пороговых» пожарных извещателей и возможности их применения на судах в составе систем пожарной сигнализации. Определено, что при повторении одних и тех же модельных очагов пожаров зафиксированные значения контролируемых параметров отличались незначительно. При этом для каждого модельного очага можно было обнаружить свои характерные черты. Сделан вывод о том, что внедрение мультикритериальных алгоритмов обработки информации в судовые системы обнаружения пожаров не только сокращает время обнаружения пожара, но и позволяет расширить функциональные возможности системы. Используя мультикритериальные пожарные извещатели в системах пожарной сигнализации можно будет распознавать, что именно горит: дизельное топливо, ветошь, изоляция электрического кабеля или что-либо другое. Отмечается, что требования к судовым мультикритериальным системам сигнализации обнаружения пожара нашли свое отражение в Правилах классификации и постройки морских судов Российского морского регистра судоходства. This article discusses the development of fire detectors that control the appearance of smoke, the excess of a given temperature and the rate of its growth, the presence of carbon monoxide and use multicriteria algorithms to assess the validity of alarm signals. The results of comparative tests of multicriteria and traditional fire detectors conducted by domestic organizations and the possibility of their use on ships as part of fire alarm systems are analyzed. It was determined that when the same model fires were repeated, the recorded values of the controlled parameters differed slightly. At the same time, for each model focus, it was possible to detect its own characteristic features. It is concluded that the introduction of multicriteria algorithms for information processing in ship fire detection systems not only reduces the time of fire detection, but also allows you to expand the functionality of the system. Using multi-criteria fire detectors in fire alarm systems,it will be possible to recognize what exactly is burning: diesel fuel, rags, electrical cable insulation, or anything else. It is noted that the requirements for ship multicriteria fire detection alarm systems are reflected in the Rules for the Classification and Construction of Marine Vessels of the Russian Maritime Register of Shipping.


2019 ◽  
Vol 13 ◽  
pp. 174830261989543
Author(s):  
Li Deng ◽  
Qian Chen ◽  
Yuanhua He ◽  
Xiubao Sui ◽  
Quanyi Liu ◽  
...  

The existing equipment of civil aircraft cargo fire detection mainly uses photoelectric smoke detectors, which has a high false alarm rate. According to Federal Aviation Agency’s (FAA) statistics, the false alarm rate is as high as 99%. 1 In the cargo of civil aircraft, the traditional photoelectric detection technology cannot effectively distinguish interference particles from smoke particles. Since the video smoke detection technology has proven to be reliable in many large scenarios, a deep learning method of image processing for fire detection is proposed. The proposed convolutional neural network is constructed of front end network and back end network cascaded with the capsule network and the circularity computation for the dynamic infrared fire image texture extraction. In order to accurately identify whether there is a fire in the area and give the kind of burning substances, a series of fuels are selected, such as n-heptane, cyclohexane, and carton for combustion reaction, and infrared camera is used to take infrared images of all fuel combustion. Experimental results show that the proposed method can effectively detect fire at the early stage of fire which is applicable for fire detection in civil aircraft cargoes.


2021 ◽  
Vol 91 ◽  
pp. 107-120
Author(s):  
A. N. Chlenov ◽  
◽  
A. V. Kochegarov ◽  
T. A. Butcinskaya ◽  
A. M. Aleshkov ◽  
...  

Introduction. The fire safety of the protected object is determined by the possibility of reliable fire detection. Insufficiently effective operation of the fire alarm system can lead to the death of people, unacceptable material and other damage. The video surveillance system, being one of the main links of the engineering security system, monitors emergency situations in real time and, in particular, a breakout of fire at the protected object. Goals and objectives. The purpose of the article is to analyze the state and trends in the development of video surveillance equipment aimed at improving the fire safety of protected objects. Tasks include regulatory justification of the use of video surveillance in fire alarm systems, review of methods of fire detection by video surveillance and improving their effectiveness under the influence of interfering factors, as well as evaluation of the effectiveness of video surveillance in fire protection systems. Methods. The methods of the system analysis and probability theory are used. Results and discussion. The requirements of regulatory documents for detectors with a video detection channel for their effective operation in fire alarm systems are considered. The main directions of development of means and methods of application of video surveillance in fire protection systems are defined. It is shown that reducing the risk of non-detection of fire to an acceptable level can be achieved by increasing the probability of effective operation of the fire alarm system, as well as by increasing the positive impact of the video surveillance system, which is a part of the complex security system of the object. Conclusions. Video surveillance significantly increases the efficiency of fire detection. It allows you to get a visual picture of the state of the protected object, which has such a high information content that no other security means can provide. The use of video surveillance equipment in fire alarm systems, as well as their integration with industrial and fire automation systems is one of the main reserves for increasing the fire safety of facilities. Keywords: video surveillance, fire detector with video detection channel, fire alarm, video analytics, fire protection


Author(s):  
Mumuh Muharam ◽  
Melda Latif ◽  
Baharuddin Baharuddin ◽  
Ibnum Richaflor

False alarm in fire detection can cause a huge loss. False alarm is generated by unwanted signal of smoke detector such as outdoor smoke or smoking. Therefore, it is designed a system that can reduce false alarm. The purposed system is built based on three components, those are sensors, actuators and data communication.  Sensors are smoke, flame and camera sensor. Smoke sensor is used as the first thing to sense a signal from the system that warns the system there is a fire. Flame sensor and camera are used to confirm that a signal of fire whether false alarm or not. Internet of Things (IoT) is applied to control the system. The result show that the system is applicable.


2018 ◽  
Vol 18 (01) ◽  
pp. e05 ◽  
Author(s):  
John Adedapo Ojo ◽  
Jamiu Alabi Oladosu

Video-based fire detection (VFD) technologies have received significant attention from both academic and industrial communities recently. However, existing VFD approaches are still susceptible to false alarms due to changes in illumination, camera noise, variability of shape, motion, colour, irregular patterns of smoke and flames, modelling and training inaccuracies. Hence, this work aimed at developing a VSD system that will have a high detection rate, low false-alarm rate and short response time. Moving blocks in video frames were segmented and analysed in HSI colour space, and wavelet energy analysis of the smoke candidate blocks was performed. In addition, Dynamic texture descriptors were obtained using Weber Local Descriptor in Three Orthogonal Planes (WLD-TOP). These features were combined and used as inputs to Support Vector Classifier with radial based kernel function, while post-processing stage employs temporal image filtering to reduce false alarm. The algorithm was implemented in MATLAB 8.1.0.604 (R2013a). Accuracy of 99.30%, detection rate of 99.28% and false alarm rate of 0.65% were obtained when tested with some online videos. The output of this work would find applications in early fire detection systems and other applications such as robot vision and automated inspection.


2011 ◽  
Vol 8 (2) ◽  
pp. 155-161 ◽  
Author(s):  
Jovan Ristic ◽  
Dragana Radosavljevic

Analogue (and addressable) fire detection systems enables a new quality in improving sensitivity to real fires and reducing susceptibility to nuisance alarm sources. Different decision algorithms types were developed with intention to improve sensitivity and reduce false alarm occurrence. At the beginning, it was free alarm level adjustment based on preset level. Majority of multi-criteria decision work was based on multi-sensor (multi-signature) decision algorithms - using different type of sensors on the same location or, rather, using different aspects (level and rise) of one sensor measured value. Our idea is to improve sensitivity and reduce false alarm occurrence by forming groups of sensors that work in similar conditions (same world side in the building, same or similar technology or working time). Original multi-criteria decision algorithms based on level, rise and difference of level and rise from group average are discussed in this paper.


2020 ◽  
Vol 29 (3) ◽  
pp. 95-102
Author(s):  
A. N. Chlenov ◽  
T. A. Butcinskaya

Introduction. Rationale of the topic of this article is the need to improve the effectiveness of fire detection. One of the modern solutions to this problem is the use of video technology. The article is aimed at developing a method to assess the effectiveness of video surveillance in the fire protection system on the basis of the formed mathematical model.Methods of research. The fire risks theory is used for formation of mathematical model. The potential fire detection risk is introduced as a quantitative measure of the possibility of undetected fire occurrence at the protected facility, development and implementation of its consequences for people and material valuables. It is calculated as the product of the maximum probability of fire by the probability of its non-detection by the technical means and alarm systems used. The efficiency of video surveillance use in the fire protection system is determined on the basis of compliance of the complex risk index of fire non-detection with the permissible value.Research results. The possibilities of increasing the efficiency of fire detection through the use of video technology are considered. Reducing the fire detection risk can be achieved by using video channel fire detectors that reduce the time it takes to reliably detect a fire. The probability of reliable detection is an important parameter of the detector during its operation in the fire alarm system and characterizes the degree of performance of its main function. The main ways to improve the efficiency of fire detection are the improvement of fire detectors with video channel, the joint use of fire video detectors and other detection devices, such as automatic multi-criteria detectors, thermal imaging сamera, as well as the use of photo and video in centralized surveillance systems.Conclusions. The offered method of estimation of efficiency of application of video surveillance in fire protection systems can be used for a substantiation of parameters of technical means (systems) of the fire alarm system and passive fire-fighting measures established on the facility.


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