Automation in Construction最新文献_第2页

A digital monitoring, delay detection and visualisation framework for construction projects: RealCONs 用于建筑项目的数字监控、延迟检测和可视化框架：RealCONs

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.autcon.2026.106781

Kambiz Radman, Mostafa Babaeian Jelodar, Ruggiero Lovreglio

{"title":"A digital monitoring, delay detection and visualisation framework for construction projects: RealCONs","authors":"Kambiz Radman, Mostafa Babaeian Jelodar, Ruggiero Lovreglio","doi":"10.1016/j.autcon.2026.106781","DOIUrl":"10.1016/j.autcon.2026.106781","url":null,"abstract":"<div><div>Accurate and resilient monitoring of construction projects remains challenging due to fragmented reporting, data uncertainty and delayed system integration. This paper evaluates RealCONs, a QR-enabled real-time monitoring framework that integrates BIM, mobile scanning, cloud-based SQL storage, and Power BI analytics to support live project control. A 90-day comparative case analysis of two concurrent Electrical and Instrumentation projects benchmarked RealCONs against a conventional tracking system. Performance was assessed using Earned Value and Earned Schedule metrics, supported by Chi-square and two-proportion tests, confidence intervals, normality testing, regression forecasting, and non-parametric Wilcoxon and Mann–Whitney analyses. Data continuity strongly favoured RealCONs, with five missing earned-value days compared with 35 in the comparator project (χ<sup>2</sup> = 28.93, <em>p</em> < .001). Across 51 paired days, RealCONs achieved superior CPI (1.02 vs 0.90) and SPI (1.01 vs 0.89). During a delay event (Days 33–37), RealCONs maintained measurable progress and statistically significant SPI predictability, while the comparator recorded zero earned value. Overall, RealCONs enabled earlier delay detection, improved forecast reliability and scalable, real-time decision support aligned with Industry 4.0 objectives.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106781"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-time knowledge management for construction value engineering: Live capture and BERT-aided case-based retrieval 建筑价值工程的实时知识管理：实时捕获和bert辅助的基于案例的检索

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-17 DOI: 10.1016/j.autcon.2026.106782

Fuhao Zu , Xueqing Zhang

{"title":"Real-time knowledge management for construction value engineering: Live capture and BERT-aided case-based retrieval","authors":"Fuhao Zu , Xueqing Zhang","doi":"10.1016/j.autcon.2026.106782","DOIUrl":"10.1016/j.autcon.2026.106782","url":null,"abstract":"<div><div>Effective reuse of creative ideas from value engineering (VE) workshops is crucial for cost-effective, innovative design. Conventional methods like post-project reviews and keyword searches often lack context, real-time availability, and semantic relevance, limiting the practical reuse of past insights. This paper addresses the fundamental question of how knowledge generated during VE workshops can be effectively captured and reused to support future idea generations. To solve this, it proposes an integrated methodology combining BIM-based live capture with a hybrid retrieval system. This system uses structured attributes and Bidirectional Encoder Representations from Transformers (BERT) based semantic similarity to ensure context-aware reuse. A prototype Revit plug-in was developed for structured capture and semantic search. Evaluation demonstrated strong performance, superiority over baseline methods, and high user acceptance. This paper provides a practical framework and tool for structured documentation and intelligent knowledge reuse, thereby enhancing creativity support for construction VE practices.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106782"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stakeholder-centric whole-lifecycle framework for guiding the development and implementation of construction digital twins 以利益相关者为中心的全生命周期框架，用于指导建筑数字孪生的开发和实施

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-17 DOI: 10.1016/j.autcon.2026.106773

Wahib Saif , Omar Doukari , Mohamad Kassem

{"title":"Stakeholder-centric whole-lifecycle framework for guiding the development and implementation of construction digital twins","authors":"Wahib Saif , Omar Doukari , Mohamad Kassem","doi":"10.1016/j.autcon.2026.106773","DOIUrl":"10.1016/j.autcon.2026.106773","url":null,"abstract":"<div><div>Construction Digital Twins (CDTs) are increasingly recognised for their potential to improve construction project management. However, successful implementation requires more than just deploying technology; it demands a stakeholder-centric, whole-system lifecycle approach. Existing frameworks are largely technocentric, focusing on technical demonstrations in isolated use cases and offering limited guidance on stakeholders' roles, interactions, and system lifecycle considerations. To address these gaps, this paper introduces a socio-technical CDT framework spanning five lifecycle stages: Define, Design, Deploy, Refine, and Decommission. Grounded in an eight-month longitudinal industrial case study and informed by a CDT triad taxonomy (applications, data, technologies), the framework guides CDT development and maps stakeholder engagement throughout its lifecycle. Stakeholders are categorised into four actor groups: Strategic, Advisory, Technical, and Operational, whose interdependencies are conceptualised through an actor role model. The framework extends CDT applicability beyond controlled demonstrations to real project contexts, while emphasising the need for validation across diverse organisational settings.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106773"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive planning of multi-UAV refined inspection path for complex and irregular building clusters 复杂不规则建筑群多无人机精细巡检路径自适应规划

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.autcon.2026.106787

Penglu Chen , Yi Tan , Wen Yi

{"title":"Adaptive planning of multi-UAV refined inspection path for complex and irregular building clusters","authors":"Penglu Chen , Yi Tan , Wen Yi","doi":"10.1016/j.autcon.2026.106787","DOIUrl":"10.1016/j.autcon.2026.106787","url":null,"abstract":"<div><div>Amid rapid global urbanization, cities have shifted into a predominantly building maintenance-oriented phase. Therefore, given that existing studies focus on inspecting simple standalone buildings with single UAV, this paper proposes an automatic path planning method for the refined inspection of complex, irregular building clusters. First, an adaptive layering mechanism is introduced to generate full coverage inspection points based on the structural characteristics of the 3D building cluster model. Initial obstacle free flight paths are then derived by integrating A* and greedy algorithms. Further path optimization is conducted by applying the 2-opt algorithm to eliminate intersections and reduce flight distance, while the DP (Douglas Peucke) algorithm is employed simplified the trajectory by reducing redundant waypoints. Experimental validation on six irregularly shaped buildings demonstrates a 9.6% reduction in flight path length and a 47.7% decrease in intermediate waypoints. The proposed framework enables refined inspection path planning for building clusters, improving the automation level and practical applicability of multi-UAVs based building operation and maintenance.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106787"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inertia effects matching for optimal attitude control in synchronous TBM considering human behavior 考虑人行为的同步TBM最优姿态控制惯性效应匹配

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-02-04 DOI: 10.1016/j.autcon.2026.106798

Yongsheng Li , Limao Zhang , Qixiang Yan , Jianjun Qin , Zhanpeng Luo

{"title":"Inertia effects matching for optimal attitude control in synchronous TBM considering human behavior","authors":"Yongsheng Li , Limao Zhang , Qixiang Yan , Jianjun Qin , Zhanpeng Luo","doi":"10.1016/j.autcon.2026.106798","DOIUrl":"10.1016/j.autcon.2026.106798","url":null,"abstract":"<div><div>The paper addresses the general problem of unreliable excavation in synchronous tunnel boring machines (S-TBMs) caused by inertia effects and time-delay phenomenon. The specific research question is how to achieve robust inertia matching those accounts for both equipment dynamics and human operator response behavior. A Gaussian mixture model (GMM) and an encoder-decoder framework (EDF) are proposed to estimate the driver and S-TBM inertial response time. A dynamic expression of the S-TBM excavation system is formulated, taking into account both human response time and equipment inertia effects. The results demonstrate that the proposed method accurately fits driver response time, achieves high-precision estimation of system inertia, and significantly reduces attitude errors by over 86% compared to non-matched control. An important contribution of this study is the integration of human behavioral inertia into the field of engineering equipment control, providing theoretical support for human-machine collaboration and real-time sharing control.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106798"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Project-level automated pavement maintenance and rehabilitation decision-making with data imbalance mitigation and post-maintenance evaluation 基于数据不平衡缓解和养护后评估的项目级自动路面养护和修复决策

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI: 10.1016/j.autcon.2026.106796

Qingwei Zeng , Shunxin Yang , Chang Xu , Jitong Ding , Qiwei Chen , Guoyang Lu

{"title":"Project-level automated pavement maintenance and rehabilitation decision-making with data imbalance mitigation and post-maintenance evaluation","authors":"Qingwei Zeng , Shunxin Yang , Chang Xu , Jitong Ding , Qiwei Chen , Guoyang Lu","doi":"10.1016/j.autcon.2026.106796","DOIUrl":"10.1016/j.autcon.2026.106796","url":null,"abstract":"<div><div>Pavement management data often suffers from severe class imbalance, and existing project-level maintenance and rehabilitation (M&R) decision-making models generally lack post-maintenance evaluation mechanisms. To address these issues, this paper proposes a project-level automated pavement M&R decision-making framework that considers data imbalance and incorporates post-maintenance evaluation (PMDNN). First, a Conditional Tabular Generative Adversarial Network (CTGAN) is developed to augment imbalanced M&R datasets. Next, two deep neural networks (DNNs) are constructed, for pavement performance prediction and for M&R decision-making, respectively. Finally, these two DNNs are nested to enable post-maintenance evaluation, supporting iterative adjustment of suboptimal M&R plans. Results demonstrate that the CTGAN effectively addresses data imbalance and accurately simulates the distribution of the original data. Compared with other data augmentation models, the CTGAN generates data with 4.7%–18.1% higher quality. Additionally, relative to multiple baseline frameworks, the proposed PMDNN framework achieves a 1.91%–4.71% higher overall decision accuracy. These findings indicate that PMDNN can support pavement management systems in making decisions more closely aligned with expert judgment.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106796"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated robotic deployment of distributed fiber optic sensing for construction monitoring 分布式光纤传感用于施工监测的自动化机器人部署

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.autcon.2026.106793

Tzu-Hsuan Lin , Sheng-Hong Wu , Yu-Chen Su , Alan Putranto

{"title":"Automated robotic deployment of distributed fiber optic sensing for construction monitoring","authors":"Tzu-Hsuan Lin , Sheng-Hong Wu , Yu-Chen Su , Alan Putranto","doi":"10.1016/j.autcon.2026.106793","DOIUrl":"10.1016/j.autcon.2026.106793","url":null,"abstract":"<div><div>Distributed fiber optic sensing (DFOS) enables continuous strain and temperature monitoring across civil infrastructure, yet installation remains labor-intensive. This paper presents ROADRobot (Robotic System for Automated Deployment of DFOS), a robotic platform integrating closed-loop tension control, calibrated adhesive dispensing, infrared-guided trajectory tracking, and mechanical bead consolidation for automated DFOS deployment. Laboratory validation on wooden and steel substrates identified optimal parameters of 3–6 cm/s traverse velocity and 0.16–0.32 mm/s dispensing velocity, achieving trajectory deviation within 2 mm. Confined-space deployment in a 450 × 450 mm steel channel demonstrated operation under geometric constraints. Comparative trials showed a 46.8% reduction in deployment time versus single-technician manual installation (<em>p</em> < 0.001, Cohen's d = 34.98) with 41% lower variability. OTDR testing confirmed fiber integrity with 0.042 dB insertion loss over 5.5 m. These results establish technical viability, though significant development remains for field application, including curved paths and non-horizontal surfaces.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106793"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective scientific approach to problem solving-inspired optimization integrated with the finite element method for automated structural design 多目标科学的问题求解启发式优化与有限元法相结合的自动化结构设计方法

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI: 10.1016/j.autcon.2026.106770

Dinh-Nhat Truong , Jui-Sheng Chou

{"title":"Multi-objective scientific approach to problem solving-inspired optimization integrated with the finite element method for automated structural design","authors":"Dinh-Nhat Truong , Jui-Sheng Chou","doi":"10.1016/j.autcon.2026.106770","DOIUrl":"10.1016/j.autcon.2026.106770","url":null,"abstract":"<div><div>This paper presents a simulation-driven framework integrating the Multi-Objective Scientific Approach to Problem Solving-inspired Optimization (MOSAPSO) algorithm with the finite element method (FEM) for automated structural design in construction. The proposed MOSAPSO integrates chaotic initialization, Lévy flight dynamics, elite population control, and sparsity-biased Pareto archiving to enhance convergence and diversity, while embedding the scientific research process, including review and problem definition, hypothesis formulation, data collection, and analysis and interpretation, into a unified optimization strategy. A temporal control strategy balances exploration and exploitation during the optimization process. Benchmarking on 24 CEC-2020 test functions reveals that MOSAPSO outperforms 11 established multi-objective algorithms across hypervolume (HV), generational distance (GD), and spacing (SP) metrics. Integrated with FEM, MOSAPSO–FEM automatically generates Pareto-optimal designs for five large-scale structural systems, balancing weight, displacement, and stability constraints. The framework provides a robust foundation for intelligent, simulation-driven decision-making in construction design, offering significant opportunities for integration with BIM, digital twins, and automated design tools.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106770"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human digital twin for optimizing labor productivity in construction 5.0 优化建筑业劳动生产率的人类数字双胞胎5.0

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.autcon.2026.106800

Chukwuka Christian Ohueri

引用次数: 0

Automated diagnosis of bridge expansion joint defects using voiceprint features and deep learning 基于声纹特征和深度学习的桥梁伸缩缝缺陷自动诊断

IF 11.5 1区工程技术

Automation in Construction Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI: 10.1016/j.autcon.2025.106739

Yixuan Chen , Hongzhe Zhao , Yichao Xu , Yufeng Zhang , Jian Zhang

{"title":"Automated diagnosis of bridge expansion joint defects using voiceprint features and deep learning","authors":"Yixuan Chen , Hongzhe Zhao , Yichao Xu , Yufeng Zhang , Jian Zhang","doi":"10.1016/j.autcon.2025.106739","DOIUrl":"10.1016/j.autcon.2025.106739","url":null,"abstract":"<div><div>Bridge Expansion Joints (BEJs) are crucial for bridge safety, yet their acoustic signals are complex and easily disturbed by traffic noise, limiting traditional identification accuracy. To address this, an intelligent monitoring system based on voiceprint features and deep learning is developed. Its key contributions include: (1) a cloud-edge collaborative voiceprint monitoring device that integrates audio sampling, embedded processing, cloud server and wireless transmission, enabling long-term data collection and remote diagnosis under noisy environments; (2) the use of first- and second-order differential Mel Frequency Cepstral Coefficients (MFCC) for feature extraction, improving discriminability; and (3) the Hybrid Attention Fusion Network (HAFNet), built on a pre-trained convolutional backbone with multi-scale attention, achieving high-precision recognition of typical BEJ faults, with testing accuracies of 97.99% and 99.00% for two vehicle types. Field experiments demonstrate the system's stability, reliability, and feasibility for real-time BEJ monitoring.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"183 ","pages":"Article 106739"},"PeriodicalIF":11.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0