On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning

Rahimian, Farzad Pour; Seyedzadeh, Saleh; Oliver, Stephen G.; Rodríguez, Sergio; Dawood, Nashwan

doi:10.1016/j.autcon.2019.103012

Cited by 202 publications

(135 citation statements)

References 66 publications

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“…There are several conventional and other emerging contemporary methods of measuring the progress of construction projects. According to Rahimian et al [9], the majority of construction measuring techniques are conducted by the traditional approach. Predicated mainly on computer-assisted tool formats of 2-dimensional diagrams (bar charts, critical path network, photos, reports, etc.…”

Section: Construction Project Progress Measurementmentioning

confidence: 99%

“…Contemporary progress measuring techniques use three-dimensional and four-dimensional (3D/4D) models and rely on Barcodes, Laser Detection and Ranging (LADAR), Video and Audio Technologies, Radio Frequency Identification (RFID) and Global Positioning System (GPS) for automatic data collection and visualization and real-time presentation of results. Golparvar-Fard et al [7], Zhang et al [8], Rahimian et al [9], Chau et al [17], El-Omari and Moselhi [18] and Navon [19] are some of the proponents of (3D/4D) computer augmented reality model for automating the progress measurement process. 3D/4/D augmented progress measurement models have not been considered further in this paper.…”

Section: Construction Project Progress Measurementmentioning

confidence: 99%

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Professionals’ Perceptions on Construction Progress Measurement Methods Used in Ghana

Danku¹,

Agyekum²,

Asare³

2020

WJET

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Progress measurement is cardinal for effective project delivery. It assesses the physical amount of completed work within budgeted cost and manpower performance at a specified stage of the project. Effective progress measurement facilitates progress monitoring, an inevitability for identifying early warning signs and confirmation of structured work proceeding. Different progress measuring methods are available and used for construction projects. They range from the traditional to the contemporary ones like three-dimensional and four-dimensional models. This paper examines current progress measurement methods used in the Ghanaian construction industry. Eight commonly employed methods were identified from the literature and rated by sixty-two construction professionals, practicing with tier one construction firms and construction consultancy services. Relative Important Index ranking and Mann-Whitney U test statistics were used to rank and check the consistency of survey responses. Cost Ratio ranked the highest, followed by Supervisor's Opinion and Units Completed. The fourth-ranked method was Time Ratio, then Incremental Milestone before Start-Finish. Weighted/Equivalent Units was at the penultimate with Earned Value Analysis ranked the lowest. The study will not only underscore the relevance of the current project progress measurement practices and provoke prolific debates on their merits, but will also serve as a precursor for critical evaluation of the methods with the view to identifying barriers militating against realistic progress assessment of construction works.

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Section: Construction Project Progress Measurementmentioning

confidence: 99%

Section: Construction Project Progress Measurementmentioning

confidence: 99%

Professionals’ Perceptions on Construction Progress Measurement Methods Used in Ghana

Danku¹,

Agyekum²,

Asare³

2020

WJET

View full text Add to dashboard Cite

show abstract

“…Most of these techniques are based on Simultaneous Localization And Mapping (SLAM) in order to estimate the pose of a moving monocular camera in unknown envi-ronments [23]. Among these techniques, RGB-D sensors are widely used since these are cost-effective devices able to capture colorful and depth images [9,24,25]. However, the methodology based only on RGB-D sensors may be affected by inconsistencies between depth data and color images.…”

Section: Introductionmentioning

confidence: 99%

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

Jurado

Ortega

et al. 2021

Sensors

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Mixed reality (MR) enables a novel way to visualize virtual objects on real scenarios considering physical constraints. This technology arises with other significant advances in the field of sensors fusion for human-centric 3D capturing. Recent advances for scanning the user environment, real-time visualization and 3D vision using ubiquitous systems like smartphones allow us to capture 3D data from the real world. In this paper, a disruptive application for assessing the status of indoor infrastructures is proposed. The installation and maintenance of hidden facilities such as water pipes, electrical lines and air conditioning tubes, which are usually occluded behind the wall, supposes tedious and inefficient tasks. Most of these infrastructures are digitized but they cannot be visualized onsite. In this research, we focused on the development of a new application (GEUINF) to be launched on smartphones that are capable of capturing 3D data of the real world by depth sensing. This information is relevant to determine the user position and orientation. Although previous approaches used fixed markers for this purpose, our application enables the estimation of both parameters with a centimeter accuracy without them. This novelty is possible since our method is based on a matching process between reconstructed walls of the real world and 3D planes of the replicated world in a virtual environment. Our markerless approach is based on scanning planar surfaces of the user environment and then, these are geometrically aligned with their corresponding virtual 3D entities. In a preprocessing phase, the 2D CAD geometry available from an architectural project is used to generate 3D models of an indoor building structure. In real time, these virtual elements are tracked with the real ones modeled by using ARCore library. Once the alignment between virtual and real worlds is done, the application enables the visualization, navigation and interaction with the virtual facility networks in real-time. Thus, our method may be used by private companies and public institutions responsible of the indoor facilities management and also may be integrated with other applications focused on indoor navigation.

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“…It is essential to monitor civil structures to appraise the structural condition to be able to predict the internal damages at an early stage [ 9 , 10 ]. Several fibre-optic methods and tools have been developed for vibration monitoring.…”

Section: Introductionmentioning

confidence: 99%

WON-OCDMA System Based on MW-ZCC Codes for Applications in Optical Wireless Sensor Networks

Seyedzadeh

Agapiou

Moghaddasi³

et al. 2021

Sensors

Self Cite

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The growing demand for extensive and reliable structural health monitoring resulted in the development of advanced optical sensing systems (OSS) that in conjunction with wireless optical networks (WON) are capable of extending the reach of optical sensing to places where fibre provision is not feasible. To support this effort, the paper proposes a new type of a variable weight code called multiweight zero cross-correlation (MW-ZCC) code for its application in wireless optical networks based optical code division multiple access (WON-OCDMA). The code provides improved quality of service (QoS) and better support for simultaneous transmission of video surveillance, comms and sensor data by reducing the impact of multiple access interference (MAI). The MW-ZCC code’s power of two code-weight properties provide enhanced support for the needed service differentiation provisioning. The performance of this novel code has been studied by simulations. This investigation revealed that for a minimum allowable bit error rate of 10−3, 10−9 and 10−12 when supporting triple-play services (sensing, datacomms and video surveillance, respectively), the proposed WON-OCDMA using MW-ZCC codes could support up to 32 simultaneous services over transmission distances up to 32 km in the presence of moderate atmospheric turbulence.

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On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning

Cited by 202 publications

References 66 publications

Professionals’ Perceptions on Construction Progress Measurement Methods Used in Ghana

Professionals’ Perceptions on Construction Progress Measurement Methods Used in Ghana

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

WON-OCDMA System Based on MW-ZCC Codes for Applications in Optical Wireless Sensor Networks

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