From BIM to Scan Planning and Optimization for Construction Control

Frías, Ernesto; Díaz-Vilariño, L.; Balado, Jesús; Lorenzo, Henrique

doi:10.3390/rs11171963

Cited by 29 publications

(21 citation statements)

References 55 publications

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“…A future agenda for this category involves dimensional control of rebars in concrete structures with BIM [ 184 ], considering overlapping criteria with scan technologies and BIM [ 193 ], considering point cloud quality and BIM requirements in scan-to-BIM method [ 192 ], a new approach for identification of element boundaries [ 179 ], Sensitivity analysis of the effect of cylindrical isolator size in pipes and flanges [ 181 ], automatic identification of the key points for modeling [ 189 ], and conducting a suitable system for delivery and storage for cloud servers [ 180 ].…”

Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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Improvements in the science of health monitoring and maintenance have facilitated the observation of damage and defects in existing structures and infrastructures, such as bridges and railways. The need to extend sensing technology through the use of wireless sensors as well as the lack of description tools for understanding, visualizing, and documenting sensor outputs has encouraged researchers to use powerful tools such as Building Information Modelling (BIM) systems. BIM has become important because of conducting tools widely used in the Architecture, Engineering, and Construction (AEC) industry to present and manage information on structural systems and situations. Since combining health monitoring and maintenance results with BIM models is a new field of study, and most projects utilize various aspects of it, we have conducted a review of important work related to this subject published from 2010 to November of 2020. After reviewing 278 journal articles, research trends, approaches, methods, gaps, and future agenda related to BIM in monitoring and maintenance were highlighted. This paper, through a bibliometric and content analysis, concludes that besides main improvements, some limitations now exist which affect the modeling and maintenance process. These limitations are related to extending the IFC schema, optimizing sensor data, interoperability among various BIM platforms, optimization of various sensing technologies for fault detection and management of huge amounts of data, besides consideration of environmental effects on monitoring hazards and underground objects. Finally, this paper aims to help to solve the mentioned limitation through a comprehensive review of existing research.

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Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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“…Both high-precision point cloud and collection efficiency are needed. The effect can be achieved by optimizing the scanning plan [19], [84], [85]. But provided the precision request of point cloud is not very high, we can use MLS [24], [33] to collect data.…”

Section: Limitations and Future Trendmentioning

confidence: 99%

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

Liu

Hyyppä

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The integration of building information model (BIM) with point cloud from 3D laser scanner provides powerful assistance in a variety of applications in the life cycle of building. However, the adoption of BIM and 3D laser scanning for applications in the whole life cycle of buildings has yet to be satisfactorily reviewed. There is a need to understand the current situation of applications with BIM and 3D laser scanning and their combined methods. The authors summarized combined methods of BIM and 3D laser scanning at first. Then the work presented in this paper provides summarization of applications in the life cycle of building. In addition, the impact of emerging technologies on applications also be discussed. In this review, articles were limited to those published over the last decade. Two patterns in the approach to integrate BIM and 3D laser scanning are reviewed. Several domains of application namely construction progress tracking, building components quality control, construction site safety, structural health monitoring, rescue after the disaster, energy modeling and management and modeling for exist building are looked back. According to occurred time of these applications, this paper divides them into two classes: applications in construction period and applications in maintenance period. Based on the observed limitations in the reviewed papers, the authors conclude some potential future research trend for these applications based emerging technology at the same time.

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“…These point clouds, each with different occlusions, need to be referenced and merged together to generate a more complete point cloud that minimizes the occluded area (Chen and Yang, 2016). Although planning for TLS data collection is usually a manual process, there are also methods to automate it (Frías et al, 2019). In Mobile Laser Scanning (MLS), occlusions are reduced due to the continuous displacement of the laser, although they do not disappear either.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection and Characterization of Ground Occlusions in Urban Point Clouds From Mobile Laser Scanning Data

Balado

González

Verbree

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Occlusions accompany serious problems that reduce the applicability of numerous algorithms. The aim of this work is to detect and characterize urban ground gaps based on occluding object. The point clouds for input have been acquired with Mobile Laser Scanning and have been previously segmented into ground, buildings and objects, which have been classified. The method generates various raster images according to segmented point cloud elements, and detects gaps within the ground based on their connectivity and the application of the hit-or-miss transform. The method has been tested in four real case studies in the cities of Vigo and Paris, and an accuracy of 99.6% has been obtained in occlusion detection and labelling. Cars caused 80.6% of the occlusions. Each car occluded an average ground area of 11.9 m2. The proposed method facilitates knowing the percentage of occluded ground, and if this would be reduced in successive multi-temporal acquisitions based on mobility characteristics of each object class.

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From BIM to Scan Planning and Optimization for Construction Control

Cited by 29 publications

References 55 publications

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings

Automatic Detection and Characterization of Ground Occlusions in Urban Point Clouds From Mobile Laser Scanning Data

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