Research on Fire Prediction Algorithm Based on Thermal Infrared Image

Wang, Qijun; Yang, Chao; Duan, Shujun; Wei, Shiqi

doi:10.1145/3467707.3467739

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Although this method is a significant improvement over traditional methods, the amount of information that can be conveyed by this communication method still needs to be improved. In highly intelligent systems, it may be necessary to transmit additional information, such as infrared images, rather than just single sensor values 26 . Furthermore, massive sensors would require high bandwidth due to allocating different frequencies to different addresses.…”

Section: Introductionmentioning

confidence: 99%

Design of OFDM‐based two‐wire bus communication system for fire safety

Zhao,

Ou,

Xue

et al. 2024

Int J Communication

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SummaryIntelligent fire safety systems place higher demands on the speed and reliability of data communication between sensors, controllers, and other devices. The two‐wire bus has become a significant trend in developing fire safety communication systems because of its low cost and simple maintenance. This paper proposes a two‐wire bus communication system for fire safety based on orthogonal frequency division multiplexing (OFDM) technology. First, we introduce the low‐voltage power line channel model and conduct relevant simulations, providing the conditions for subsequent simulation work. Then, we design the system's transmission and reception schemes, provide the parameters, and introduce each technology used. Finally, we conducted system simulations based on three different channel models, and the system performance is compared among different encoding, modulation, and channel estimation methods. The simulation results show that the system designed in this paper has superior performance compared with other systems and can meet the requirements of intelligent fire safety systems for communication speed and reliability.

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Section: Introductionmentioning

confidence: 99%

Design of OFDM‐based two‐wire bus communication system for fire safety

Zhao,

Ou,

Xue

et al. 2024

Int J Communication

View full text Add to dashboard Cite

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A Thermal Imaging Flame-Detection Model for Firefighting Robot Based on YOLOv4-F Model

Wang

Feng

et al. 2022

Fire

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Fire robots are an effective way to save lives from fire, but their limited detection accuracy has greatly hampered their practical applications in complicated fire conditions. This study therefore proposes an advanced thermal imaging flame detection model of YOLOv4-F based on YOLOv4-tiny. We replaced the Leaky ReLU activation function with the Mish activation function in the YOLOV4-tiny feature extraction network. A Spatial Pyramid Pooling (SPP) was also added to increase the receiving range of the feature extraction network. To improve the feature fusion efficiency between multi-scale feature layers, a Path Aggregation Network (PANet) was adopted to replace the YOLOv4-tiny Feature Pyramid Network (FPN) with full use of feature information; a high-quality dataset containing 14,757 thermal imaging flame images was built according to the PASCAL VOC 2007 dataset standard. The results show that, when compared to the YOLOv4-tiny, YOLOv5-s, and YOLOv7-tiny models, the average detection accuracy of the proposed YOLOv4-F model is 5.75% higher, the average mAP of the five IOU cases rises by 7.02%, and the average detection confidence of three scaled flames shows a 18.09% gain. The proposed YOLOV4-F meets the requirements of fire robots on real-time responses and accurate flame detection, offering an important tool to improve the performance of the current fire robots.

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Research on Fire Prediction Algorithm Based on Thermal Infrared Image

Cited by 2 publications

References 2 publications

Design of OFDM‐based two‐wire bus communication system for fire safety

Design of OFDM‐based two‐wire bus communication system for fire safety

A Thermal Imaging Flame-Detection Model for Firefighting Robot Based on YOLOv4-F Model

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