Paper
20 April 2023 Study on fire simulation of Bai folk houses on PyroSim
Haoyang Sun, Gaojie Fu, Hualin Shi, Rongbin Yang
Author Affiliations +
Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126022P (2023) https://doi.org/10.1117/12.2668149
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China
Abstract
Fire early warning is one of the technical methods of ecological security, and computer technology is widely used in fire simulation.Fire simulation software has been more and more widely used in buildings.This article uses PyroSim software to simulate fire simulation of Bai folk houses. Firstly, a model of Bai folk house was constructed by on-the-spot investigation and used to simulate the different stages of a fire. In the model, it sets up grid slices and fire source points to simulate the fire, which is divided into three stages: before, during and after the fire, and the data of each simulation stage is collected. Secondly, it deeply analyzes the data characteristics of temperature, humidity, smoke concentration and so on which are obtained the corresponding changes. Finally, it determines the locations of temperature, humidity, smoke perception and other sensors are analyzed and determined to be 2-3 meters in Bai folk houses. This paper provides a reference for the improvement of the Fire Warning System and it is beneficial to the intelligent management of Bai folk houses.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haoyang Sun, Gaojie Fu, Hualin Shi, and Rongbin Yang "Study on fire simulation of Bai folk houses on PyroSim", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126022P (20 April 2023); https://doi.org/10.1117/12.2668149
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KEYWORDS
Fire

Humidity

Sensors

Computer simulations

Data modeling

Computer security

Relative humidity

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