Components of automatic fire detection systems

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.

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Single vs. dual color fire detection systems: operational tradeoffs

Electro-Optical Remote Sensing XI ◽

10.1117/12.2272406 ◽

2017 ◽

Author(s):

Meir Danino ◽

Yosef Danan ◽

Moshe Sinvani

Keyword(s):

Fire Detection ◽

Detection Systems ◽

Dual Color

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An Early Flame Detection System Based on Image Block Threshold Selection Using Knowledge of Local and Global Feature Analysis

Sustainability ◽

10.3390/su12218899 ◽

2020 ◽

Vol 12 (21) ◽

pp. 8899

Author(s):

Ting Wei Hsu ◽

Shreya Pare ◽

Mahendra Singh Meena ◽

Deepak Kumar Jain ◽

Dong Lin Li ◽

...

Keyword(s):

Detection System ◽

Global Analysis ◽

Computation Time ◽

Fire Detection ◽

Early Warning Systems ◽

Warning Systems ◽

Image Block ◽

Detection Systems ◽

Spatial Features ◽

Flame Detection

Fire is one of the mutable hazards that damage properties and destroy forests. Many researchers are involved in early warning systems, which considerably minimize the consequences of fire damage. However, many existing image-based fire detection systems can perform well in a particular field. A general framework is proposed in this paper which works on realistic conditions. This approach filters out image blocks based on thresholds of different temporal and spatial features, starting with dividing the image into blocks and extraction of flames blocks from image foreground and background, and candidates blocks are analyzed to identify local features of color, source immobility, and flame flickering. Each local feature filter resolves different false-positive fire cases. Filtered blocks are further analyzed by global analysis to extract flame texture and flame reflection in surrounding blocks. Sequences of successful detections are buffered by a decision alarm system to reduce errors due to external camera influences. Research algorithms have low computation time. Through a sequence of experiments, the result is consistent with the empirical evidence and shows that the detection rate of the proposed system exceeds previous studies and reduces false alarm rates under various environments.

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Fire Detection Technology for Turbine-Powered Transportation

Volume 1B: General ◽

10.1115/70-gt-125 ◽

1970 ◽

Author(s):

T. M. Trumble

Keyword(s):

High Temperature ◽

Detection System ◽

Fire Detection ◽

Vehicle Design ◽

Design Phase ◽

Detection Systems ◽

Detection Technology ◽

Operational Envelope

The problems of providing a fire and overheat detection system for turbine-powered vehicles must be solved during the design phase of the vehicle. In order to accomplish this goal the vehicle design engineer must be aware of the basic constraints involved in the application of fire detection technology. This paper presents a condensed method for understanding, designing and evaluating fire and overheat detection systems. Advanced concepts and technologies such as optical redundancy and high temperature ultraviolet sensors are discussed. Performance of fire and overheat detection systems designed using this approach will provide maximum safety for those using the vehicles, as well as those in its operational envelope.

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