Yangze Liang

ORCID: 0009-0005-2638-6284
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About
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Research Areas
  • 3D Surveying and Cultural Heritage
  • BIM and Construction Integration
  • Infrastructure Maintenance and Monitoring
  • Manufacturing Process and Optimization
  • Remote Sensing and LiDAR Applications
  • 3D Modeling in Geospatial Applications
  • Industrial Vision Systems and Defect Detection

Southeast University
2022-2024

Prefabricated buildings, as the development center of architectural industrialization, will produce a lot point-cloud data in process information detection and management. These can be used for reverse modeling to restore physical characteristics prefabricated concrete components, which provide basis building informatics. However, traditional processing methods have limitations high-precision high-efficiency restoration entities. To solve this problem, study assumes reconstruction geometric...

10.1061/(asce)co.1943-7862.0002345 article EN Journal of Construction Engineering and Management 2022-06-30

Purpose Construction schedule delays and quality problems caused by construction errors are common in the field of prefabricated buildings. The effective monitoring project process is one key factors for success a project. How to effectively monitor building projects an urgent problem be solved. Aiming at existing buildings, this paper proposes method based on feature extraction point cloud model. Design/methodology/approach This uses Trimble X7 3D laser scanner complete data collection...

10.1108/ecam-11-2021-0985 article EN Engineering Construction & Architectural Management 2022-08-29

The stability of scaffolding structures is crucial for quality management in construction. Currently, assembly monitoring relies on visual inspections performed by designated on-site personnel, which are highly subjective, inaccurate, and inefficient, hindering the advancement intelligent construction practices. This study proposes an automated method inspection using point cloud data feature selection algorithms. High-precision captured a Trimble X7 3D laser scanner. After registration with...

10.3390/buildings14082518 article EN cc-by Buildings 2024-08-15

The quality of prefabricated concrete (PC) components during the construction phase is crucial for project safety. However, manual inspections are no longer sufficient to meet demands efficient and large-scale PC components. While computer vision (CV) can quickly inspect surface components, it fails effectively prioritize critical defects among different Treating all equally would result in resource wastage. To address detection external phase, this study proposes an appearance diagnosis...

10.1061/jccee5.cpeng-5460 article EN Journal of Computing in Civil Engineering 2023-08-08

Purpose Monitoring of the quality precast concrete (PC) components is crucial for success prefabricated construction projects. Currently, monitoring PC during phase predominantly done manually, resulting in low efficiency and hindering progress intelligent construction. This paper presents an inspection method assessing appearance components, utilizing enhanced you look only once (YOLO) model multi-source data. The aim this research to achieve automated management process through digital...

10.1108/ecam-07-2023-0705 article EN Engineering Construction & Architectural Management 2023-10-30

Building information models (BIMs) offer advantages, such as visualization and collaboration, making them widely used in the management of existing buildings. Currently, most BIMs for indoor spaces are manually created, consuming a significant amount manpower time, severely impacting efficiency building operations maintenance management. To address this issue, study proposes an automated reconstruction method scene BIM based on feature-enhanced point transformer octree. This enhances...

10.3390/app132413239 article EN cc-by Applied Sciences 2023-12-14
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