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The world encyclopedia of fire engines : an illustrated guide to fire trucks around the world and a history of firefighting in 700 photographs
\"Contains an illustrated photographic history of firefighting from Roman times to the present day, and charts the development of the fire engine from simple manual pumps to one of the most sophisticated and high-profile vehicles. Provides fascinating documentation about historical fires, the first firefighters, and fire engine manufacture, as well as expert analysis of modern firefighting techniques\"-- Provided by publisher.
BOOK
Maryland baseball field dowsed, flooded by fire hose
A Montgomery County firefighter, who works in a station behind the left-field fence, allegedly sprayed the hose after a home run ball flew into the station's parking lot on July 17.
Streaming Video
Why you should water your Christmas tree
According to the National Fire Protection Association (NFPA), more than 200 home fires each year start with a Christmas tree. See what can happen if fire starts in a tree that hasn't been watered.
Streaming Video
Christmas tree fire : watered tree vs. dry tree
According to the National Fire Protection Association (NFPA), more than 200 home fires each year start with a Christmas tree. In this video, NIST fire researchers demonstrate what could happen if a fire starts in a watered Christmas tree vs. a dry Christmas tree.
Streaming Video
Firefighters in my community
\"With upbeat text and playful illustrations, readers can follow along as a class meets a firefighter and learns what firefighters do.\"--Publisher's description.
Book
Fire Detection and Notification Method in Ship Areas Using Deep Learning and Computer Vision Approaches
Fire incidents occurring onboard ships cause significant consequences that result in substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on matters such as the safety of the crew, cargo, the environment, finances, reputation, etc. Therefore, timely detection of fires is essential for quick responses and powerful mitigation. The study in this research paper presents a fire detection technique based on YOLOv7 (You Only Look Once version 7), incorporating improved deep learning algorithms. The YOLOv7 architecture, with an improved E-ELAN (extended efficient layer aggregation network) as its backbone, serves as the basis of our fire detection system. Its enhanced feature fusion technique makes it superior to all its predecessors. To train the model, we collected 4622 images of various ship scenarios and performed data augmentation techniques such as rotation, horizontal and vertical flips, and scaling. Our model, through rigorous evaluation, showcases enhanced capabilities of fire recognition to improve maritime safety. The proposed strategy successfully achieves an accuracy of 93% in detecting fires to minimize catastrophic incidents. Objects having visual similarities to fire may lead to false prediction and detection by the model, but this can be controlled by expanding the dataset. However, our model can be utilized as a real-time fire detector in challenging environments and for small-object detection. Advancements in deep learning models hold the potential to enhance safety measures, and our proposed model in this paper exhibits this potential. Experimental results proved that the proposed method can be used successfully for the protection of ships and in monitoring fires in ship port areas. Finally, we compared the performance of our method with those of recently reported fire-detection approaches employing widely used performance matrices to test the fire classification results achieved.
Journal Article
Fire trucks : racing to the scene
This book provides introductory information and pictures about fire trucks and fire fighting equipment.
Book
Temperature-Arousing Self-Powered Fire Warning E-Textile Based on p–n Segment Coaxial Aerogel Fibers for Active Fire Protection in Firefighting Clothing
HighlightsThe p–n segment thermoelectric aerogel fiber was fabricated through an alternating coaxial wet-spinning strategy.Resultant alternating p–n segment thermoelectric fiber was electrically connected in series (two p–n pairs with a length of 3 cm) with an outstanding electrical conductivity of 23.76 S m−1.Thermoelectric textile-based self-powered fire warning electronics exhibited sensitivity (trigger time within 1.43 s) and repeatable temperature sensing performance for firefighting clothing.Firefighting protective clothing is a crucial protective equipment for firefighters to minimize skin burn and ensure safety firefighting operation and rescue mission. A recent increasing concern is to develop self-powered fire warning materials that can be incorporated into the firefighting clothing to achieve active fire protection for firefighters before the protective clothing catches fire on fireground. However, it is still a challenge to facilely design and manufacture thermoelectric (TE) textile (TET)-based fire warning electronics with dynamic surface conformability and breathability. Here, we develop an alternate coaxial wet-spinning strategy to continuously produce alternating p/n-type TE aerogel fibers involving n-type Ti3C2Tx MXene and p-type MXene/SWCNT-COOH as core materials, and tough aramid nanofiber as protective shell, which simultaneously ensure the flexibility and high-efficiency TE power generation. With such alternating p/n-type TE fibers, TET-based self-powered fire warning sensors with high mechanical stability and wearability are successfully fabricated through stitching the alternating p–n segment TE fibers into aramid fabric. The results indicate that TET-based fire warning electronics containing 50 p–n pairs produce the open-circuit voltage of 7.5 mV with a power density of 119.79 nW cm−2 at a temperature difference of 300 °C. The output voltage signal is then calculated as corresponding surface temperature of firefighting clothing based on a linear relationship between TE voltage and temperature. The fire alarm response time and flame-retardant properties are further displayed. Such self-powered fire warning electronics are true textiles that offer breathability and compatibility with body movement, demonstrating their potential application in firefighting clothing.
Journal Article