An Experimental Study on the Response Characteristics of Fire Detector for Early Stage Fire Detection in Warehouse

2016 ◽  
Vol 30 (3) ◽  
pp. 41-47
Author(s):  
Sung-Ho Hong
Keyword(s):  
Experimental Study ◽  
Early Stage ◽  
Fire Detection ◽  
Response Characteristics ◽  
Fire Detector

scholarly journals EQUATIONS FOR THE OPERATING TEMPERATURE OF THERMOSENSITIVE ELEMENTS OF FIRE DETECTORS EMBEDDED IN A CONCRETE BLOCK

2021 ◽  
pp. 31-38
Author(s):  
S. V. Fedosov ◽  
A. A. Lazarev ◽  
M. V. Toropova ◽  
V. G. Malichenko
Keyword(s):  
Heat Flow ◽  
Sensitive Element ◽  
Early Stage ◽  
Fire Detection ◽  
Concrete Block ◽  
Radiant Heat ◽  
Initial Stage ◽  
Automation Equipment ◽  
Fire Detector ◽  
Approximate Equations

Statement of the problem. Solving the problem of giving the properties of a building structure to detect fires outside buildings is one of the ways to prevent the transition of fire from one building to another. Embedding of fire automation equipment in construction products should be carried out after making the appropriate calculations. The absence of an expression for determining the temperature of the heat-sensitive element of a fire detector inside a concrete block requires detailed calculations. At the same time, it is necessary to study the influence of the distance to the object of a possible fire, the size of the heat-sensitive element, and the heat flow on the time of fire detection by a construction product included in the smart home system.Results. As part of the temperature measurement of heat-sensitive elements of fire detectors inside the concrete block, empirical data were obtained. This information allows us to describe the radiant heat exchange at an early stage of a fire. This is typical of open burning outdoors. Conclusions. Approximate equations are obtained for determining the temperature and response time of a fire detector inside a concrete block at the initial stage of a fire, depending on the distance to the fire object (radiation source), heat flow, and the size of the thermosensitive element. These values can be determined with sufficient accuracy.

EQUATIONS FOR THE OPERATING TEMPERATURE OF THERMOSENSITIVE ELEMENTS OF FIRE DETECTORS EMBEDDED IN A CONCRETE BLOCK

2020 ◽  
pp. 35-42
Author(s):  
С. В. Федосов ◽  
А. А. Лазарев ◽  
М. В. Торопова ◽  
В. Г. Маличенко
Keyword(s):  
Heat Flow ◽  
Sensitive Element ◽  
Early Stage ◽  
Fire Detection ◽  
Concrete Block ◽  
Radiant Heat ◽  
Initial Stage ◽  
Automation Equipment ◽  
Fire Detector ◽  
Approximate Equations

Постановка задачи. Решение проблемы придания строительной конструкции свойств, позволяющих обнаруживать пожары вне зданий, является одним из направлений предупреждения перехода огня с одного здания на другое. Встраивание средств пожарной автоматики в строительные изделия должно осуществляться после проведения соответствующих расчетов. Отсутствие выражения, позволяющего определить температуру термочувствительного элемента пожарного извещателя, встроенного в бетонный блок, вынуждает проводить детальные расчеты. Вместе с тем, необходимо исследовать влияние расстояния до объекта возможного пожара, размера термочувствительного элемента, теплового потока на время обнаружения пожара строительным изделием, входящим в систему «умный дом». Результаты. В процессе измерения температуры термочувствительных элементов пожарных извещателей, встроенных в бетонные блоки, получены эмпирические данные, позволяющие описать на ранней стадии пожара лучистый теплообмен, характерный для открытого горения вне помещений. Выводы. Получены приближенные уравнения, которые позволяют с достаточной точностью определить температуру и время срабатывания пожарного извещателя, встроенного в бетонный блок, на начальной стадии пожара в зависимости от расстояния до объекта пожара (источника излучения), теплового потока, размера термочувствительного элемента. Statement of the problem. Solving the problem of giving the properties of a building structure to detect fires outside buildings is one of the ways to prevent the transition of fire from one building to another. Embedding of fire automation equipment in construction products should be carried out after making the appropriate calculations. The absence of an expression for determining the temperature of the heat-sensitive element of a fire detector inside a concrete block requires detailed calculations. At the same time, it is necessary to study the influence of the distance to the object of a possible fire, the size of the heat-sensitive element, and the heat flow on the time of fire detection by a construction product included in the smart home system. Results. As part of the temperature measurement of heat-sensitive elements of fire detectors inside the concrete block, empirical data were obtained. This information allows us to describe the radiant heat exchange at an early stage of a fire. This is typical of open burning outdoors. Conclusions. Approximate equations are obtained for determining the temperature and response time of a fire detector inside a concrete block at the initial stage of a fire, depending on the distance to the fire object (radiation source), heat flow, and the size of the thermosensitive element. These values can be determined with sufficient accuracy.

scholarly journals A Collaborative Region Detection and Grading Framework for Forest Fire Smoke Using Weakly Supervised Fine Segmentation and Lightweight Faster-RCNN

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 768
Author(s):  
Jin Pan ◽  
Xiaoming Ou ◽  
Liang Xu
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Learning Strategy ◽  
Early Stage ◽  
Fire Detection ◽  
Surveillance Systems ◽  
Region Detection ◽  
Decision Network ◽  
Fire Smoke ◽  
Weakly Supervised

Forest fires are serious disasters that affect countries all over the world. With the progress of image processing, numerous image-based surveillance systems for fires have been installed in forests. The rapid and accurate detection and grading of fire smoke can provide useful information, which helps humans to quickly control and reduce forest losses. Currently, convolutional neural networks (CNN) have yielded excellent performance in image recognition. Previous studies mostly paid attention to CNN-based image classification for fire detection. However, the research of CNN-based region detection and grading of fire is extremely scarce due to a challenging task which locates and segments fire regions using image-level annotations instead of inaccessible pixel-level labels. This paper presents a novel collaborative region detection and grading framework for fire smoke using a weakly supervised fine segmentation and a lightweight Faster R-CNN. The multi-task framework can simultaneously implement the early-stage alarm, region detection, classification, and grading of fire smoke. To provide an accurate segmentation on image-level, we propose the weakly supervised fine segmentation method, which consists of a segmentation network and a decision network. We aggregate image-level information, instead of expensive pixel-level labels, from all training images into the segmentation network, which simultaneously locates and segments fire smoke regions. To train the segmentation network using only image-level annotations, we propose a two-stage weakly supervised learning strategy, in which a novel weakly supervised loss is proposed to roughly detect the region of fire smoke, and a new region-refining segmentation algorithm is further used to accurately identify this region. The decision network incorporating a residual spatial attention module is utilized to predict the category of forest fire smoke. To reduce the complexity of the Faster R-CNN, we first introduced a knowledge distillation technique to compress the structure of this model. To grade forest fire smoke, we used a 3-input/1-output fuzzy system to evaluate the severity level. We evaluated the proposed approach using a developed fire smoke dataset, which included five different scenes varying by the fire smoke level. The proposed method exhibited competitive performance compared to state-of-the-art methods.

scholarly journals Alat Pendeteksi Kebakaran Menggunakan SMS

2020 ◽  
Vol 1 (2) ◽  
pp. 251-254
Author(s):  
Sindi Permata Sari ◽  
Oriza Candra ◽  
Jhefri Asmi
Keyword(s):  
Human Factors ◽  
Temperature Sensor ◽  
Human Life ◽  
Fire Detection ◽  
Smoke Detectors ◽  
Fire Detector ◽  
Arduino Uno ◽  
Main Component ◽  
The Brain ◽  
Early Fire Detection

Lately, there are frequent fires caused by human factors. Because we cannot predict the process of fire in advance. And the delay in knowing the occurrence of a fire is very fatal to the safety of human life and property. With advances in technology, we can overcome fires by making early fire detection devices. With the presence of temperature and smoke detectors, we can detect fires as early as possible and be delivered quickly via alarms and SMS gateways. The main component of this fire detector is the Arduino Uno. This Arduino uno acts as the brain of the fire detection device. This tool works based on the detection of the temperature condition by the DHT11 temperature sensor, which is when the temperature is above normal, an alert notification will be sent via the SMS gateway and so will the MQ2 smoke and the buzzer will sound as a warning alarm.

scholarly journals Computer Vision Application for Early Stage Smoke Detection on Ships

2016 ◽  
Vol 52 (1) ◽  
pp. 63-80
Author(s):  
Miroslav Bistrović ◽  
Jasmin Čelić ◽  
Domagoj Komorčec
Keyword(s):  
Detection System ◽  
Early Stage ◽  
Fire Detection ◽  
Water Mist ◽  
Smoke Detector ◽  
Smoke Detection ◽  
Engine Room ◽  
Computer Image Processing ◽  
Flame Detector ◽  
Safety Features

Nowadays, ship’s engine room is fire protected by automatic fire fighting systems, usually controlled from a place located outside the engine room. In order to activate the water mist extinguishing system automatically, at least two different fire detectors have to be activated. One of these detectors is a flame detector that is not hampered by various air flows caused by ventilation or draft and is rapidly activated and the other is smoke detector which is hampered by these flows causing its activation to be delayed. As a consequence, the automatic water mist extinguishing system is also delayed, allowing for fire expansion and its transfer to surrounding rooms. In addition to reliability of the ship’s fire detection system as one of the crucial safety features for the ship, cargo, crew and passengers, using a systematic approach in this research the emphasis is placed on the application of new methods in smoke detection such as the computer image processing and analysis, in order to achieve this goal. This paper describes the research carried out on board ship using the existing marine CCTV systems in early stages of smoke detection inside ship’s engine room, which could be seen as a significant contribution to accelerated suppression of unwanted consequences.

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