Automation in Construction, Год журнала: 2025, Номер 175, С. 106214 - 106214
Опубликована: Май 1, 2025
Язык: Английский
Building and Environment, Год журнала: 2025, Номер unknown, С. 112748 - 112748
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
3
Developments in the Built Environment, Год журнала: 2023, Номер 17, С. 100309 - 100309
Опубликована: Дек. 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.
Язык: Английский
Процитировано
26
International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(3), С. 512 - 525
Опубликована: Март 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.
Язык: Английский
Процитировано
15
Automation in Construction, Год журнала: 2024, Номер 164, С. 105451 - 105451
Опубликована: Май 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.
Язык: Английский
Процитировано
10
Automation in Construction, Год журнала: 2023, Номер 157, С. 105157 - 105157
Опубликована: Ноя. 3, 2023
Язык: Английский
Процитировано
20
Developments in the Built Environment, Год журнала: 2024, Номер 19, С. 100484 - 100484
Опубликована: Июнь 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.
Язык: Английский
Процитировано
9
Developments in the Built Environment, Год журнала: 2024, Номер 19, С. 100512 - 100512
Опубликована: Июль 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
Язык: Английский
Процитировано
9
Journal of Construction Engineering and Management, Год журнала: 2024, Номер 150(6)
Опубликована: Март 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.
Язык: Английский
Процитировано
7
Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102597 - 102597
Опубликована: Май 20, 2024
Язык: Английский
Процитировано
6
Applied Sciences, Год журнала: 2024, Номер 14(2), С. 664 - 664
Опубликована: Янв. 12, 2024
Leveraging natural language processing models using a large volume of text data in the construction safety domain offers unique opportunity to improve understanding accidents and ability learn from them. However, little effort has been made date regard utilizing for prediction accident types that can help prevent manage potential accidents. This research aims develop model predicting six (caught-in-between, cuts, falls, struck-by, trips, others) by employing transfer learning with fine-tuned generative pre-trained transformer (GPT). Additionally, enhance interpretability GPT model, method saliency visualization input was developed identify words significantly impact results. The were evaluated comprehensive dataset comprising 15,000 actual records. results indicate suggested detecting achieves 82% accuracy. Furthermore, it observed proposed precursors unstructured free-text reports. These highlight advancement generalization performance processing-based models, thereby proactively preventing
Язык: Английский
Процитировано
5