## Literature Review
### Integrated BIM and Laser Scanning for Construction Quality Control  
The integration of 3D laser scanning and BIM offers an opportunity for construction quality control [36]. Construction works on-site need to be assessed to ensure the as-built construction outcomes are consistent with the as-designed BIM model. Moreover, the discrepancy should be checked if it is less than the tolerance value [24].  
This quality control inspection always includes building facade elements, steel columns, floor slabs' surface quality, displacement of highway retaining wall, and many others [24]. Most of the inspections are conducted after the construction works are finished and during the construction process [31]. [PERSON] et al. [37] developed a prototype of a real-time construction quality control system. The system can automatically collect on-site quality data, compare as-built point cloud data and an as-planned BIM model, and assess construction quality.  
[PERSON] and [PERSON] [38] utilized laser scanners to collect dense 3D point clouds for bridge inspectors. [PERSON] et al. [21] utilized sensing technologies and project modeling capabilities to develop an active quality control system, which included acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. [PERSON] [28] introduced an approach for automated recognition of project 3D BIM objects in large laser scans to automatically control the compliance of projects to corresponding dimensional tolerances.  
In general, the value of BIM models towards quality inspection and control is at two levels. The first level is integrating product specifications within the BIM model, which enables reliableand efficient data management throughout a project life cycle. The second level is a more robust construction quality inspection supported by updated and completed information [20].  
Some other advanced automation and robotics technologies were also used in construction management, which would enhance the quality control of modular construction projects. [PERSON] et al. [39] introduced the applications of the unmanned aerial vehicle (UAV) from urban planning, illegal construction supervision, environmental engineering management, waste management, intelligent transportation, and other aspects. Many companies use UAV on construction sites, with the majority of applications replacing traditional still photo and video acquisition. In addition to traditional uses of photographic information, photogrammetry software is being used to integrate this data into building information models for construction management [40]. [PERSON] and [PERSON] [41] developed a visual assets database from UAV-based images and videos collected during UAV flights at jobsites. The results revealed potential applications of UAV mainly for project progress monitoring, job site logistics, evaluating safety conditions, and quality inspections, among other secondary management tasks. [PERSON] et al. [42] discussed the photogrammetric in modeling and surveying for construction quantity takeoff, quality control, and site safety monitoring applications. [PERSON] and [PERSON] [43] used 3D stereo vision to track the location of multiple on-site workers, and their method provides good reference for this study.  
In summary, BIM and 3D laser scanning began to be gradually applied in the construction of quality inspection and control, especially the quality control of modular construction. However, most of them are focused on the construction process and the module production process. The research of the modular building installation process and embedded components' installation quality control are still relatively few. This study plans to develop a quality tolerance control system with the integrated BIM and 3D laser scanning based on the modular structure installation processes, and use the removable flood wall project as an example to confirm the feasibility of the method.