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http://dx.doi.org/10.15683/kosdi.2022.12.31.883

A Study on the Development of AI-Based Fire Fighting Facility Design Technology through Image Recognition  

Gi-Tae Nam (R&D Center, KF UBIS CO., Ltd.)
Seo-Ki Jun (R&D Center, KF UBIS CO., Ltd.)
Doo-Chan Choi (KF UBIS CO., Ltd.)
Publication Information
Journal of the Society of Disaster Information / v.18, no.4, 2022 , pp. 883-890 More about this Journal
Abstract
Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.
Keywords
Fire Safety Design; Fire Safety Design; Image Learning; Deep Learning; Fire Fighting Design;
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