Work

Research on the Safety Judgment of Cuplok Scaffolding Based on the Principle of Image Recognition

Year: 2025

Type: article

Abstract: Due to their technical complexity, multi-step procedures, and low efficiency, traditional monitoring techniques have struggled to meet the rapid development of safety management on construction sites in assessing the safety of cuplok scaffolding. Therefore, this study applied image recognition technology to the safety monitoring of cuplok scaffold systems. A recognition model for identifying member shapes in images of cuplok scaffolds was proposed. Combined with a judgment criterion established based on the energy method, the safety state of the scaffold system was evaluated, ultimately forming an image recognition-based technique for detecting the safety performance of cuplok scaffolds. Experimental studies on a reduced-scale model demonstrated that the proposed method achieved an accuracy and efficiency of 80% in both recognition and judgment. The results indicated that this method enables rapid and efficient safety performance monitoring of cuplok scaffolding, holding significant practical implications for improving monitoring efficiency.

Source: Buildings

DOI: 10.3390/buildings15203737

Authors: Jiang Xue, Shuile Bai, Guanhao Ruan, Marcin Gryniewicz

Institutions: Tianjin Chengjian University, Bialystok University of Technology

Language: English

Topic: Construction Engineering and Safety

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $3,137