Brick wall efflorescence detection technology using target detection illustrated by Wuhan Gao’s Hospital
Year: 2025
Type: article
Abstract: Efflorescence is one of the most common diseases in brick cultural relics. The primary cause of efflorescence is the exposure of brick masonry to water, wind, and freeze-thaw cycles, all of which are closely tied to climatic conditions. Different temperatures, humidity, different wind and hydrological characteristics will cause certain erosion to brick cultural relics, especially causing different degrees of efflorescence to cultural relics. Wakana Araoka et al. 1 believed that factors such as microorganisms, salt crystallization and masonry cracks would cause the Nanjing city wall to deteriorate, and proposed a simulation model to represent rainwater infiltration into the city wall. Based on the simulation results, they examined the impact of rainwater on the deterioration of the city wall. Yan Ma et al. 2 believed that a suitable humid-thermal environment is essential for the sustainable protection of movable and immovable cultural heritage. They proposed a method that emphasizes the combination of humid-thermal coupled transfer simulation and traditional environmental monitoring for systematic risk assessment to quantitatively assess the water-related deterioration risks in heritage buildings. This method has been verified in the Forbidden City of China, a UNESCO World Heritage Site. This study aims to detect efflorescent areas in brick cultural relics using image recognition technology and machine learning, and to explore the influence of meteorological parameters on the walls of brick-concrete structure buildings in hot summer and cold winter areas from a macro perspective.
Source: npj Heritage Science
Authors: Xinrui Luo, Hechi Wang, Yuchen Qian, Wendi Huang, Zhaoyi Yan, Gang Xie
Institutions: Hubei University of Technology, Guizhou Normal University
Language: English
Subfield: Earth-Surface Processes
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410215587