A predictive decision-aid device to warn firefighters of catastrophic temperature increases using an AI-based time-series algorithm

Garrity, David; Yusuf, Syed Adnan

doi:10.1016/j.ssci.2021.105237

Cited by 16 publications

(3 citation statements)

References 5 publications

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“…In addition, the firefighters identified several features related to the ergonomics of this type of clothing, including weight, freedom of movement and durability of the materials. Such research is the basis for determining the direction of development of firefighters’ clothing, e.g., like the aforementioned cooling system 19 , 20 , location sensor 21 – 23 , thermal imaging camera 24 , 25 , chemical concentration sensor 26 , 27 , weight reduction 28 , improvement of freedom of movement 29 and material durability 30 , 31 . Survey tests were also conducted by Roldan-Gomez et al 32 on the quality of using firefighters’ equipment.…”

Section: Introductionmentioning

confidence: 99%

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Kaczmarzyk,

Warguła,

Janik

et al. 2024

Sci Rep

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Positive pressure ventilators (PPV) used by 97.7% of officers of the National Fire Service in Poland, are characterized by work that is not in line with the expectations of the firefighters. In order to improve the technical and operational features of these devices, a survey was conducted among 25,000 eligible firefighters, identifying the application of these devices, problems in use and expected development directions. A total of 682 officers voluntarily completed the survey. Based on their findings, it was determined that ventilators are most often used to smoke out buildings after or during a fire. Mentioned problems when using these devices were mainly noise (78.2%), exhaust emissions (68.5%), and impediments to mobility through the device’s relatively heavy weight (40.2%). Other inconveniences were mentioned by less than 20% of firefighters. Polish firefighters expect the development of these devices mainly in terms of the above-mentioned features (noise reduction (81.7%) and reduction of the weight and size of the ventilators (about 50%)). Other expectations relate to the improvement of smoke removal in buildings: increasing the efficiency of smoke removal (46.4%) and efficiency regarding the rate of smoke removal in a building by increasing the size of the incoming airflow from the building’s surroundings (33.2%). About 15% of firefighters expect changes in the operation of the ventilator itself, that is, an increase in the effective operating time (electric ventilators) and an increase in the device’s uptime. The aim of the article is to identify the issues encountered during the operation and to indicate the expected direction of development for PPV by users. This information can be used by engineers to initiate new development work on these devices.

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Section: Introductionmentioning

confidence: 99%

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Kaczmarzyk,

Warguła,

Janik

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…In addition, the re ghters identi ed several features related to the ergonomics of this type of clothing, including weight, freedom of movement and durability of the materials. Such research is the basis for determining the direction of development of re ghters' clothing, e.g., like the aforementioned cooling system 19,20 , location sensor [21][22][23] , thermal imaging camera 24,25 , chemical concentration sensor 26,27 , weight reduction 28 , improvement of freedom of movement 29 and material durability 30,31 . Survey tests were also conducted by Roldan-Gomez et.…”

Section: Introductionmentioning

confidence: 99%

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Kaczmarzyk,

Warguła,

Janik

et al. 2024

Preprint

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Positive pressure ventilators used by 97.7% of officers of the National Fire Service in Poland, are characterized by work that is not in line with the expectations of the firefighters. In order to improve the technical and operational features of these devices, a survey was conducted among 25,000 eligible firefighters, identifying the application of these devices, problems in use and expected development directions. A total of 682 officers voluntarily completed the survey. Based on their findings, it was determined that ventilators are most often used to smoke out buildings after or during a fire. Mentioned problems when using these devices were mainly noise (78.2%), exhaust emissions (68.5%), and impediments to mobility through the device’s relatively heavy weight (40.2%). Other inconveniences were mentioned by less than 20% of firefighters. Polish firefighters expect the development of these devices mainly in terms of the above-mentioned features (noise reduction (81.7%) and reduction of the weight and size of the ventilators (about 50%)). Other expectations relate to the improvement of smoke removal in buildings: increasing the efficiency of smoke removal (46.4%) and efficiency regarding the rate of smoke removal in a building by increasing the size of the incoming airflow from the building’s surroundings (33.2%). About 15% of firefighters expect changes in the operation of the ventilator itself, that is, an increase in the effective operating time (electric ventilators) and an increase in the device’s uptime. The article also presents suggestions for device development based on the available state of the art.

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“…This method predicts temperature ranges in a burning compartment based on the historic fire behavior data modelled via a neural network algorithm. Garrity et al [ 11 ] exploited a compact embedded artificial neural network (ANN) with a second-stage classifier, reading temperature data from the in-built thermocouple, to produce the output of predicted temperatures. However, this technical approach, namely its ability to judge temperature fluctuations in special environments, still requires further improvement.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems

Xiao

Wang

et al. 2023

Sensors

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High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. However, due to the small changes and erratic fluctuations in environmental parameters in the initial combustion phase, it is always a challenging task. To address this challenge, this paper proposes a hybrid feature fusion-based high-sensitivity early fire detection and warning method for in-building environments. More specifically, the temperature, smoke concentration, and carbon monoxide concentration were first selected as the main distinguishing attributes to indicate an in-building fire. Secondly, the propagation neural network (BPNN) and the least squares support vector machine (LSSVM) were employed to achieve the hybrid feature fusion. In addition, the genetic algorithm (GA) and particle swarm optimization (PSO) were also introduced to optimize the BPNN and the LSSVM, respectively. After that, the outputs of the GA-BPNN and the PSO-LSSVM were fused to make a final decision by means of the D-S evidence theory, achieving a highly sensitive and reliable early fire detection and warning system. Finally, an early fire warning system was developed, and the experimental results show that the proposed method can effectively detect an early fire with an accuracy of more than 96% for different types and regions of fire, including polyurethane foam fire, alcohol fire, beech wood smolder, and cotton woven fabric smolder.

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A predictive decision-aid device to warn firefighters of catastrophic temperature increases using an AI-based time-series algorithm

Cited by 16 publications

References 5 publications

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Problems of operation of positive pressure ventilators on the basis of surveys of Polish officers of the State Fire Service

Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems

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