Equipment and workers are two important resources in the construction industry. Performance monitoring of these would help project managers improve productivity rates jobsites discover potential performance issues. A typical workface system consists four major levels: location tracking, activity recognition, monitoring. These levels employed to evaluate work sequences over time also assess workers' equipment's well-being abnormal edge cases. Results an automated could be used employ...

Earthmoving plants are essential but costly resources in the construction of heavy civil engineering projects. In addition to proper allocation, ongoing control this equipment is necessary ensure and increase productivity earthmoving operations. Captured videos from sites potential tools operations; however, current practice manual data extraction surveillance tedious, costly, error prone. Cutting-edge computer vision techniques have automate monitoring tasks. This paper presents research...

Real-time monitoring of heavy equipment can help practitioners improve machine-intensive and cyclic earthmoving operations. It also provide reliable data for future planning. Surface job sites are among the best candidates vision-based systems due to relatively clear sightlines recognizable equipment. Several cutting-edge computer vision algorithms integrated with spatiotemporal information, background knowledge develop a framework, called server-customer interaction tracker (SCIT), which...

Accurate and proactive inspection of constructed objects identification their defects design conformity is vital to both facility management construction projects. A project's building information model (BIM) needs be regularly updated more accurately reflect the actual site conditions. However, conventional practices lack site-data integration with models rely on manual, error-prone, costly updates. This paper proposes demonstrates a robust technique that uses industry foundation classes...

With growing complex infrastructure, autonomous condition assessment of large-scale structures has garnered significant attention over the past few decades. Data-driven structural health monitoring (SHM) techniques offer valuable information existing structures, maintain safety and their uninterrupted use under varied operational conditions by undertaking timely risk hazard mitigation. Traditional approaches, however, are not enough to monitor a large amount SHM data conduct systematic...

There is a global research trend to enhance condition assessment of the concrete infrastructure by development advanced nondestructive testing (NDT) methods. Computer vision–based systems have been developed detect different types defects in both regular and thermographic images because these could offer timely cost-effective solution are able tackle inconsistency issues manual assessment. This paper investigates performance deep neural network models main anomalies, including delamination,...

This paper proposes an approach for the reliable identification of subsurface damages in thermal images concrete structures. The work explores how to mitigate false positives delamination segmentation using and visible images. methodology employs a few-shot learning method, specifically Siamese Neural Network (SNN), assess similarity between corresponding multimodal regions. findings indicate that leveraging similarities reduces improves model's precision by 3.6%, eliminating 351 positives....

Although construction is often seen as an outdoor activity, much of the work completed indoors. The indoor environment presents many challenges for automatic capture data during progress monitoring, quality control, quantity verification, and overall project documentation. This paper examines potential using robots, more specifically, unmanned aerial vehicles (UAV) systems (UAS), to monitor sites. UAVs have become ubiquitous due their commercialization off-the-shelf tool. However, facilitate...

Purpose Project schedules have a vital role in the effective management of time, cost, scope and resources construction projects, creating requires schedulers with knowledge experience. The increase complexity building projects emergence information modeling (BIM) architecture, engineering industry encouraged researchers to explore BIM capabilities for automated schedule generation. developed systems, however, are limited link between design scheduling is still underdeveloped. This paper...

Abstract Digital visual data, such as images and videos, are valuable sources of information for various construction engineering management purposes. Advances in low-cost image-capturing storing technologies, along with the emergence artificial intelligence methods have resulted a considerable increase using digital imaging sites. Despite these advances, rich data not typically used to their full potential because they processed documented subjectively, several contents could be overlooked....

Control systems have proven to be beneficial in improving the productivity of earthmoving operations. A main component these is monitoring module. Computer vision algorithms are among new methods that been tested for real-time earthwork activities. These methods, however, were able detect only intraclass equipment and failed identify individual machines, which a key disadvantage compared radio-based devices, namely global positioning (GPS). To address this issue, pipeline framework,...

Deficiencies of tendering systems in public projects can leave governments with subsequent issues and waste taxpayers' money. Electronic (e-tendering) have been found beneficial for awarding projects; however, current practices still deficiencies. Legal security the lack transparency identified as main shortcomings practices. This paper argues that underlying issue e-tendering is due to their centralized nature. Therefore, this research presents a critical assessment blockchain technology...

The automated integration of as-built and as-is conditions into building information models (BIM) remains a primary challenge for unoccupied aerial vehicles (UAV)-enabled facility construction inspection. Due to the lack site-to-BIM data pipelines supporting reality capture technologies such as camera-mounted UAVs, BIMs lose their effectiveness over time since they do not accurately reflect conditions; UAV-captured visual also underutilized. This paper proposes demonstrates novel industry...

Stripping is a primary form of moisture-related damage in hot mix asphalt, which mainly results from loss bond between the asphalt cement and aggregate. Static immersion boiling water tests are common methods to estimate stripping bituminous cover aggregate surfaces loose mixtures, but accuracy assessment depends on skill experience technician; therefore, alternatives subjective visual assessments were sought. Image processing known be reliable means for quality control different areas able...

Effective condition assessment of road networks has been known to decrease maintenance expenses and operation cost the users. Several automated methods, such as computer vision–based systems, have developed in this area, emergence low-cost unmanned aerial systems (UAS) encouraged UAS-based surfaces. The majority existing are for paved roads there is limited research on vision-based unpaved roads. This paper introduces a framework use deep neural UAS detect major distresses proposed method...

One of the concerns about use passive Infrared Thermography (IRT) for structural health monitoring (SHM) is determination a favorable period to conduct inspections. This paper investigates numerical simulations find appropriate periods IRT-based detection subsurface damages in concrete bridge slabs under heating along 1 year time span. A model was built using Finite Element Method (FEM) and calibrated results set thermographic field inspections on slab sample. The showed that simulation...

Digital videotaping of operations at construction sites has proven to be a useful resource in the industry. These valuable visual resources, however, are not used their full potential because they manually archived and contents videos efficiently annotated. A number research efforts have investigated computer vision algorithms detect track resources that mostly captured by stationary cameras; only limited been performed on semantic annotation videos. This paper presents an automated system...

Purpose Steel and reinforced concrete are among the most common structural materials used in construction industry. Cost speed of have been usually main criteria when selecting a building’s system, whereby environmental impact material is sometimes ignored. Availability an easy-to-use tool for assessment alternatives could encourage this evaluation decision making. The purpose paper to introduce automated on-site processes building which calculates energy consumption carbon emissions system...