Automatic Monitoring in Construction Projects: Scientometric Analysis and Visualization of Research Activities DOI Creative Commons
Amir Hossein Dalir, Zahra Pezeshki, Mehdi Ravanshadnia

et al.

Human-Centric Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Abstract This paper presents a comprehensive scientific analysis of research on automatic monitoring in construction projects. Through methodical examination 857 bibliographic records from three databases, we find important trends, novel themes, and key areas this field. Our findings reveal that machine learning (ML), building information modelling (BIM), deep are the most popular techniques for monitoring. Furthermore, identify technologies artificial intelligence (AI) as primary foci. So, study uncovers collaboration patterns among researchers institutions, highlighting players their contributions, identifies gaps challenges, such need integrating AI, big data, cloud computing into project monitoring, proposes future directions to address these challenges enhance effectiveness systems. By providing systematic review insightful analysis, contributes advancement It offers valuable insights researchers, practitioners, policymakers foster innovation, improve performance, ensure sustainable practices.

Language: Английский

PROJECT MANAGEMENT STRATEGIES FOR ACCELERATING ENERGY EFFICIENCY IN HVAC SYSTEMS AMIDST CLIMATE CHANGE DOI Creative Commons

Wisdom Ebirim,

Nwakamma Ninduwezuor-Ehiobu,

Favour Oluwadamilare Usman

et al.

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 512 - 525

Published: March 7, 2024

Amidst the escalating impacts of climate change, optimizing energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems emerges as a critical imperative. This review explores project management strategies aimed at accelerating HVAC amidst change challenges. In response to urgency mitigate consumption has intensified. Project plays pivotal role orchestrating systematic approaches address this challenge. Firstly, effective entails comprehensive planning. involves conducting thorough audits assessments identify inefficiencies prioritize improvement opportunities. Utilizing advanced technologies such Building Energy Management Systems (BEMS) can enhance data collection analysis for informed decision-making. Secondly, stakeholder engagement is essential successful implementation. Collaboration between building owners, facility managers, engineers, contractors facilitates alignment goals resources. Clear communication channels regular progress updates foster accountability momentum throughout lifecycle. Thirdly, methodologies like Agile or Lean streamline initiatives. Iterative development allows continuous improvement, enabling teams adapt evolving requirements incorporate feedback effectively. Moreover, risk are vital anticipate potential obstacles. Contingency plans supply chain disruptions, regulatory changes, unforeseen technical challenges ensure resilience minimize disruptions. Lastly, monitoring evaluation mechanisms indispensable tracking performance verifying savings. Key Performance Indicators (KPIs) benchmarks enables stakeholders measure success adjust needed. Effective change. By emphasizing planning, engagement, agile methodologies, management, evaluation, organizations navigate realize substantial savings operations. Keywords: Management, HVAC, Climate Change, Energy, Efficiency, Review.

Language: Английский

Citations

15
From data to knowledge: Construction process analysis through continuous image capturing, object detection, and knowledge graph creation DOI Creative Commons
Fabian Pfitzner, Alexander Braun, André Borrmann

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 164, P. 105451 - 105451

Published: May 9, 2024

Persistent issues of schedule deviations and cost overruns within large construction projects aggravate the industry's global productivity concerns. However, how holistic, data-oriented methods can effectively be leveraged for investigating project performance identifying potential bottlenecks during phase remains unanswered. Our research addresses this issue with a novel approach encompassing data acquisition, object detection, geometric projection, graph-based linking. Image data, continuously captured by crane-camera systems, gets transformed into higher-level information using an end-to-end deep learning-based pipeline that covers detection specific on-site objects integrates it in knowledge graph. The graph facilitates extracting precise metrics, spatiotemporal irregularities, like work hotspots characterized high activity intensive concentrations, but also phases low activity. proposed method improves learning from past aiding stakeholders inspiring further real-time monitoring, predictive analytics, data-integrated decision-making systems to reshape practices.

Language: Английский

Citations

10
What is a Digital Twin anyway? Deriving the definition for the built environment from over 15,000 scientific publications DOI Creative Commons
Mahmoud Abdelrahman, Edgardo Macatulad, Binyu Lei

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112748 - 112748

Published: Feb. 1, 2025

Language: Английский

Citations

1
A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability DOI Creative Commons
Tae Wook Kang, Yunjeong Mo

Developments in the Built Environment, Journal Year: 2023, Volume and Issue: 17, P. 100309 - 100309

Published: Dec. 23, 2023

The concept of digital twins, initially developed in manufacturing, has found applications various industries. However, its adoption the construction field is still nascent, with a limited understanding benefits and implications. Existing examples twin implementation mainly provide general frameworks or possibilities for performance. To effectively harness potential twins construction, establishing connectivity predictability data exchange between physical virtual realms crucial. This research defines essential requirements real-time proposes framework architecture based on these principles. proposed method evaluated through monitoring environmental performance existing buildings, revealing effectiveness challenges. study serves as valuable exemplar development platform dedicated to monitoring.

Language: Английский

Citations

21
Activity-level construction progress monitoring through semantic segmentation of 3D-informed orthographic images DOI Open Access
Aritra Pal, Jacob J. Lin, Shang‐Hsien Hsieh

et al.

Automation in Construction, Journal Year: 2023, Volume and Issue: 157, P. 105157 - 105157

Published: Nov. 3, 2023

Language: Английский

Citations

19
Autonomous mobile construction robots in built environment: A comprehensive review DOI Creative Commons
Lingdong Zeng, Shuai Guo,

Jing Wu

et al.

Developments in the Built Environment, Journal Year: 2024, Volume and Issue: 19, P. 100484 - 100484

Published: June 24, 2024

Combined robotic arms and mobile platforms, construction robots(MCRs) are providing an energizing choice for the digitalization of building industry. To enhance comprehension research trajectory towards MCR applications technologies in construction, we focus on following aspect: Current representative MCRs built environments critical involved. This comprehensive review identified 184 publications last 15 years to unravel applications, scrutinized crucial involved, deliberated challenges opportunities. Results indicate that a growing application field, although majority still confined laboratory settings. further expand scenarios, this paper proposes corresponding roadmaps address identified. The findings provide in-depth insight into digital robotics, benefiting researchers constructors advancing commercialization.

Language: Английский

Citations

7
Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect DOI Creative Commons
Yishuo Jiang, Shuaiming Su, Shuxuan Zhao

et al.

Developments in the Built Environment, Journal Year: 2024, Volume and Issue: 19, P. 100512 - 100512

Published: July 26, 2024

Information and automation technologies play a pivotal role in achieving cyber-physical integration within Construction 4.0. In this transformed landscape, the evolution of construction management paradigm carefully considers enhancement business models organizational structures to prioritize stakeholders' well-being, environmental sustainability, heightened resilience. A significant challenge lies effectively managing coordinating myriad multi-source heterogeneous entities using information technologies. The key obstacle is synchronizing these elements based on interoperation optimize multiple objectives seamlessly. Hence synchronization emerges as crucial factor for orchestrating sustaining harmonious relationships among or activities delimited spatial-temporal framework. This ensures seamless aligned coordination throughout dynamic processes. Therefore, paper presents strategic roadmap synchronized management, derived from thorough analysis fundamental 4.0, aimed at advancing current practices. Moreover, articulate approach systematically, an Orthogonally Synchronized Digital Twin (SDT) model with regular expression formulated, built upon proposed reshaped management. study provides valuable insights stakeholders industry, including architects, engineers, project managers, policymakers. findings guide decision-making digital twin adoption construction, supporting practitioners enhance efficiency improve outcomes, offering industry advancement towards human-centrality, Future research should focus validating SDT real-world scenarios, exploring synergies between AI twins, investigating advanced holistic smart cities

Language: Английский

Citations

7
4D BIM and Reality Model–Driven Camera Placement Optimization for Construction Monitoring DOI

Seau Chen Houng,

Aritra Pal, Jacob J. Lin

et al.

Journal of Construction Engineering and Management, Journal Year: 2024, Volume and Issue: 150(6)

Published: March 29, 2024

Cameras are one of the most valuable sensors for collecting high-quality visual data on construction sites uses ranging from surveillance to automated information exaction. The dynamic nature means cameras can suffer occlusions and lack coverage due progressing works, hindering performance analysis methods. Therefore, manual planning adjustments by experienced practitioners required appropriate camera placement at site, which is expensive time-consuming. Past research has simulated used algorithms with an objective function optimize installation parameters planned site models two-dimensional (2D) four-dimensional (4D). However, these ongoing conditions, hampering actual performance. This study proposes a framework incorporating 4D-building model (BIM) reality models. first identifies determinants through expert interviews. Next, BIM construct simulation environment, optimized. proposed implemented evaluated site. 25% average improvement benchmark solution achieved. further contributes potential application monitoring systems sites.

Language: Английский

Citations

6
A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models DOI
Xi Zhang, Ye Yang, Xin Zhang

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102597 - 102597

Published: May 20, 2024

Language: Английский

Citations

5
Strategic Integration of Drone Technology and Digital Twins for Optimal Construction Project Management DOI Creative Commons
Tareq Salem, Mihai Dragomir, Eric Chatelet

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 4787 - 4787

Published: May 31, 2024

This research aims to develop an integrated approach construction project management by integrating digital technology into monitoring and surveillance operations. Through the use of drones image processing software, data can be updated regularly accurately about progress at site, allowing managers decision makers have a clear view current situation make effective decisions based on accurate. In addition, this contributes improving communication coordination among team members, as images easily effectively shared, reducing opportunities for error enhancing interaction different parties. Using twin technologies, planning forecasting processes also improved, comprehensive analysis provides deeper understanding dynamics, identifies potential risks, enables appropriate preventive measures taken. conclusion, integration twins in projects represent significant step towards achieving smarter more efficient management, successfully defined goals with greater effectiveness.

Language: Английский

Citations

4