Ms. Hongyu Zhang Profile

Hongyu Zhang

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Proceedings Article | 18 December 2023 Paper

Study on intelligent fire investigation in steel structure by spectral imaging technology

Lina Zhao, Hongyu Zhang, Anna Zhao, Tianhe Wang, Chen Yang, Jihong Wang, Shuozhi Li

Proceedings Volume 12963, 129631K (2023) https://doi.org/10.1117/12.3007955

KEYWORDS: Fire, Imaging spectroscopy, Image fusion, Image processing, Spectral data processing

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Steel structure has been widely used in modern buildings because of its excellent building performance such as lightness, low-cost. However, the poor fire resistant of steel structure can lead to a lot of hidden troubles including life safety and economic losses, cause the construction of steel structure become a key research direction in fire investigationwork. Currently, the experts for fire investigation have to analyse the surface trace of the steel evidence after the fire throughempirical data by person because of the lack of intelligent methods and equipment, which have a great influence on the investigation efficiency. This article proposes an intelligent detection method for steel structure fire traces based spectral imaging technology. The surface spectrum and morphology information of heated steel structure can be collected through standard spectral imaging equipment in 400-1000nm, then establishing the connections between the highest temperature or time and its feature of spectral imaging data. More than 150 groups of steel plate samples were prepared in various temperature including 100 ℃ to 1200 °C by muffle furnace and stacking fire in the experiment. The spectral imaging data can be obtained and imported to the classification and recognition algorithm, 90%of the samples conditions can be identified recognized accurately. The results indicate that spectral imaging technology can effectively assist in the development of fire investigation work by quickly and intelligently identifying fire traces, and has good application prospects in the field of fire investigation.

Proceedings Article | 18 December 2023 Paper

Research on consistency discrimination method of fire resistive coating for steel structure based spectral imaging technology

Anna Zhao, Tianhe Wang, Lina Zhao, Hongyu Zhang, Hongyan Jiang, Chuo Li, Feng Gao

Proceedings Volume 12963, 129631C (2023) https://doi.org/10.1117/12.3007822

KEYWORDS: Coating, Fire, Resistance, Inspection, Principal component analysis, Imaging spectroscopy

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Steel structure has been widely used in modern buildings due to their excellent building performance, but their poor fire resistance requires special coating which can resistant fire for protection. With the increasing demand for fire-resistant coatings for steel structure, fire-resistant coatings with different fire-retardant mechanisms have emerged one after another. The market complexity has increased, and there is a significant difference in fire resistance performance among products, requiring real-time and effective supervision by the relevant department. However, due to the wide variety of fire-resistant coatings and the complexity of standard detecting methods, it brings difficulties for fire supervision and on-site inspection of fire-resistant coatings. The research proposed an efficient method based spectral analysis to detect the fire-resistant coatings with different fire resistive mechanisms, including both intumescent coatings and non-intumescent coating. Principal component analysis is used to quickly identify the spectral consistency of different coatings. The experiment selected samples of fire-resistant coatings with excellent performance verified by standard detection methods and ordinary one for visible to shortwave infrared 400-2500nm spectral collection and spectral feature analysis. The experimental result indicates that samples of high-performance fireproof coatings have high consistency in spectral feature. Through intelligent recognition algorithms, coating samples with unsatisfactory performance can be quickly and accurately detected. The research has shown that the intelligent spectral imaging technology is expected to provide a reliable basis for rapid on-site identification of fire resistive coatings for steel structure.

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