Advanced Engineering Informatics最新文献

{"title":"BIM-based automated analysis of dynamic hazards for proactive safety measures during the earthwork construction stage using CCTV data","authors":"Almo Senja Kulinan ,&nbsp;Yuntae Jeon ,&nbsp;Pa Pa Win Aung ,&nbsp;Minsoo Park ,&nbsp;Gichun Cha ,&nbsp;Seunghee Park","doi":"10.1016/j.aei.2025.103296","DOIUrl":"10.1016/j.aei.2025.103296","url":null,"abstract":"<div><div>Current safety management during the earthwork construction stage often fail to anticipate the dynamic nature of construction sites, leading to frequent accidents due to a lack of proactive measures. To address these challenges, this paper presents a system to prevent dynamic hazards on construction sites by identifying proximity hazard zones caused by heavy equipment activity, as well as areas where workers are exposed to these hazards, within a BIM framework. This system uses a computer vision-based CCTV approach for continuous monitoring to obtain important information within the site. The obtained information is then processed and integrated into a BIM model to visualize the hazard zones according to the risk estimation results. A case study highlights the system’s ability to generate up-to-date hazard maps within the BIM model, along with integrated hazard analysis results. The proposed system provides valuable insights for safety managers regarding dynamic hazard zones to improve site planning and reduce the likelihood of accidents.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103296"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820812","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}

{"title":"Lithium-ion batteries remaining useful life prediction via Fourier-mixed window attention enhanced Informer with decomposition and adaptive error correction strategy","authors":"Fang Cheng ,&nbsp;Hui Liu ,&nbsp;Xinwei Lv","doi":"10.1016/j.aei.2025.103292","DOIUrl":"10.1016/j.aei.2025.103292","url":null,"abstract":"<div><div>Remaining useful life (RUL) prediction for lithium-ion batteries is crucial for safe and reliable operation in energy storage systems (ESS). However, the complex characteristics of capacity degradation make accurate and stable RUL prediction a critical problem. In response, this paper proposes a novel framework called FFWinformerAGA, which merges Fourier Decomposition Method (FDM), Fourier-mixed Window Attention-enhanced Informer (FWinformer), and adaptive error correction strategy via Gated Recurrent Unit-Attention Mechanism (AGA). The FDM initially decomposes original sequence into detail and trend components, effectively reducing the nonlinearity. Utilizing two distinct streams, the FWinformer then specially integrates local and global information in both time and frequency domains of the detail component, significantly enhancing the capture of abrupt changes and long-term dependencies under limited samples. Additionally, the AGA is incorporated to mine predictive relationships in the residual series. Experiments and analysis on four real-world datasets yielded the following conclusions: each component within the FFWinformerAGA is demonstrated to be necessity and superior, leading to enhanced results. The model outperforms state-of-the-art models, with improvements in Root Mean Square Error ranging from 30.39% to 85.30%, while maintaining reasonable performance times. Furthermore, the robustness of FFWinformerAGA is demonstrated by training it with fewer degradation samples and incorporating three different types of noise as additional inputs. Findings of this study hold potential application value in prognostics and health management of ESS.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103292"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820664","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}

{"title":"Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework","authors":"Arunodaya Raj Mishra ,&nbsp;Pratibha Rani ,&nbsp;Erfan Babaee Tirkolaee ,&nbsp;Adel Fahad Alrasheedi ,&nbsp;Ahmad M. Alshamrani","doi":"10.1016/j.aei.2025.103323","DOIUrl":"10.1016/j.aei.2025.103323","url":null,"abstract":"&lt;div&gt;&lt;div&gt;With the significant dependency on climate patterns and water availability, the agriculture sector is highly prone to fluctuating climate conditions. However, the assessment of agricultural sustainability in agro-climatic regions is a multifaceted and uncertain decision-making problem due to the involvement of multiple sustainability aspects concerning environmental, economic, and social dimensions. To this aim, this work proposes a hybrid ranking framework in the context of single-valued neutrosophic sets, which combines the modified relative closeness coefficient-based approach, the pivot pairwise relative criteria importance assessment tool, and the weighted integrated sum product method with single-valued neutrosophic information. This framework first presents a formula to obtain the significance of decision experts’ opinions using the truth membership, indeterminacy membership, and falsity membership degrees of a single-valued neutrosophic set. Next, the decision experts’ opinions are unified to determine the aggregated single-valued neutrosophic decision matrix, wherein each of its elements denotes the single-valued neutrosophic performance rating of an alternative with respect to considered evaluation indicators. Further, the weights of indicators are determined by combining the objective and subjective weighting models through the relative closeness coefficient-based approach and the pivot pairwise relative criteria importance assessment model, respectively. To find the relative closeness coefficient of indicators, a novel single-valued neutrosophic distance measure is proposed, which evades the deficiencies of existing distance measures. Finally, a hybrid weighted integrated sum product method is presented to rank the alternatives. To demonstrate the relevance and exhibit the efficacy of the introduced framework, it is applied to a case study of agricultural sustainability assessment in 10 considered agro-climatic regions of India. For this purpose, some indicators related to the triple bottom line of sustainability have been recognized from the literature review for the selection of a sustainable agro-climate region in India. The outcomes demonstrate that the “Trans-Gangetic Plain” region has the maximum preference, while the “Western Dry Region” has the least preference among the other agro-climatic regions. Irrigation intensity, crop diversification, receiving remittance as well as membership in the agricultural credit society are influencing indicators responsible for agricultural sustainability in the “Trans-Gangetic Plain” region compared with the “Western Dry Region”. Lastly, sensitivity and comparative discussions are shown to test the stability and strength of the proposed ranking model under the setting of single-valued neutrosophic sets. The proposed multi-criteria evaluation method provides insights for policymakers in evaluating and selecting economically, socially, and environmentally sustainable agro-climatic reg","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103323"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820885","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}

{"title":"Adaptive collision avoidance strategy for USVs in perception-limited environments using dynamic priority guidance","authors":"Shihong Yin,&nbsp;Zhengrong Xiang","doi":"10.1016/j.aei.2025.103355","DOIUrl":"10.1016/j.aei.2025.103355","url":null,"abstract":"<div><div>This paper proposes a dynamic adaptive priority guidance (DAPG) strategy for unmanned surface vehicles (USVs) to improve collision avoidance in dynamic maritime environments, particularly in unpredictable moving obstacles. Traditional local navigation methods often depend on fixed parameters within their cost functions, limiting adaptability. In contrast, the DAPG strategy integrates the strengths of multi-agent reinforcement learning (MARL) and multi-source information fusion strategy (MIFS). At a high level, the MARL-based algorithm dynamically adjusts fusion weights using neural networks, enabling the system to adapt flexibly to changing environments. At the low level, the MIFS algorithm processes these prioritized observations to generate the optimal navigation commands, ensuring safe and efficient navigation for each USV. The network is trained in a simulated dynamic environment using the parameter-sharing soft actor-critic (PSSAC) algorithm, enhanced with prioritized experience replay (PER) to accelerate learning. Experimental results show that the PSSAC-PER-MIFS algorithm significantly outperforms traditional reinforcement learning methods in convergence speed, reward stability, and navigation efficiency. Moreover, the DAPG strategy ensures compliance with COLREGs (International Regulations for Preventing Collisions at Sea), facilitating smooth and cooperative navigation in multi-USV scenarios. The source code is available at <span><span>https://github.com/Shihong-Yin/PSSAC-PER-MIFS</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103355"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820666","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}

{"title":"In-trainNet: A Two-Step Data-Driven Framework for Enhancing Railway In-Train Forces Monitoring","authors":"Sheng Zhang,&nbsp;Wenyi Yan","doi":"10.1016/j.aei.2025.103352","DOIUrl":"10.1016/j.aei.2025.103352","url":null,"abstract":"<div><div>Railway in-train forces are critical for ensuring safe and efficient train operations. However, real-time monitoring of these forces across multiple couplers in various trains remains challenge due to variations in train configurations and coupler locations. This paper proposes In-trainNet, a two-step data-driven framework that leverages automatic train operation system to enhance in-train forces monitoring. In the first step, a specially designed multi-task model is pre-trained to simultaneously estimate multiple in-train forces on multiple couplers for a specific train configuration. In the second step, a transfer learning scheme transfers and adapts the pre-trained model to different train configurations, significantly reducing the need for extensive training data and computational resources. Comparative experiments demonstrate the superior performance of the pre-trained model, which achieves higher accuracy and efficiency compared to single-task models. The integration of transfer learning further enhances the framework’s adaptability, enabling robust and accurate monitoring across diverse train configurations. The proposed approach offers a promising solution for real-time, in-situ monitoring of railway in-train forces, with potential applications in both research and industrial applications.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103352"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820665","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}

{"title":"ALDRAW: Algorithmic engineering representations","authors":"Abhinav Pandey,&nbsp;Vidit Gaur","doi":"10.1016/j.aei.2025.103362","DOIUrl":"10.1016/j.aei.2025.103362","url":null,"abstract":"<div><div>Engineering drawings have been the predominant representation of engineering information but have several deficiencies due to their graphical nature. This paper addresses these issues by proposing an algorithmic framework, ALDRAW, to represent engineering information and de-link design option qualification from representation. ALDRAW enhances engineering communication by enabling purposefulness, explainability, information scalability, domain abstraction, active collaboration, version control, knowledge transfer and machine learning in the representations. The framework has been successfully tested on real-world facility layout and other engineering problems, and compared with other proposed approaches in recent literature, demonstrating its potential to improve the engineering process through more effective and efficient information representation. A web application is also developed based on this framework using Django Python for real-world projects. Recommendations towards industry adoption and future research are also highlighted.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103362"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820813","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}

{"title":"Evaluation of cognitive load and user experience in alternative interaction modes under different noise degrees","authors":"Xiaojiao Xie ,&nbsp;Yao Wang ,&nbsp;Yan Cui ,&nbsp;Suihuai Yu ,&nbsp;Dengkai Chen ,&nbsp;Jianjie Chu","doi":"10.1016/j.aei.2025.103328","DOIUrl":"10.1016/j.aei.2025.103328","url":null,"abstract":"<div><div>In the context of multimodal interaction, user-centered research on alternative interaction modes is crucial for their application in real-world scenarios. In intelligent cockpits of specialized vehicles and aircraft, broadband continuous noise is a common challenge. This study aims to investigate the cognitive load and user experience associated with alternative interaction modes when performing tasks under varying levels of broadband continuous noise. 24 participants completed a point-and-select task with four interaction modes: Touch-Based Interaction (TBI), Speech-Based Interaction (SBI) with Speech Recognition (SRT) and Wizard of Oz (WoZ), Gesture-Based Interaction (GBI), and Multimodal Interaction (MMI) at three noise levels (45dBA, 65dBA, 85dBA). Cognitive load was assessed through blinks, pupil diameters, and NASA-TLX scores, while task performance (completion time, error rate) and user experience (pragmatic quality (PQ), hedonic quality (HQ), and attractiveness) were recorded. Results showed that speech recognition errors in noisy environments increased cognitive load and decreased user experience for SBI-SRT and MMI-SRT. Regardless of noise degrees, SBI-WoZ exhibited the lowest cognitive load, followed by GBI and MMI-WoZ. TBI had the highest cognitive load. GBI required the most physical demand and effort. TBI and GBI showed better robustness in noise, achieving higher HQ and PQ, while HQ and PQ for SBI and MMI declined with noise. MMI provided a better user experience than SBI. SBI-SRT was seen as redundant at 85 dBA. These findings provide valuable insights for the practical application of alternative interaction modes in noisy environments.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103328"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820710","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}

{"title":"An integrated optimization and visualization approach for construction site layout planning considering primary and reuse building materials","authors":"Zhongya Mei ,&nbsp;Qiaoting Tan ,&nbsp;Yi Tan ,&nbsp;Wen Yi ,&nbsp;Siyu Luo","doi":"10.1016/j.aei.2025.103314","DOIUrl":"10.1016/j.aei.2025.103314","url":null,"abstract":"<div><div>Construction Site Layout Planning (CSLP) facilitates cost reduction, productivity enhancement, and mitigation of safety risks across both on-site and off-site construction sectors. As an optimization challenge, it primarily focuses on determining the most suitable locations and dimensions for temporary facilities (TFs) designated for materials. However, the limited attention given to the reuse of materials poses obstacles to the practical application of optimization results. Moreover, the reliance on two-dimensional (2D) visualizations for layout presentation falls short of meeting practical demands. To address these issues, this study proposes an integrated approach that combines optimization and visualization for CSLP, taking into account both primary and reuse materials. Initially, the calculation methods for determining the on-site dimensions of TFs, transportation frequencies, and distances, considering material stacking patterns and inventory levels, transportation processes, and on-site obstacles are introduced. Subsequently, the CSLP problem is formulated as a mathematical model aimed at minimizing the total transportation cost. Furthermore, a heuristic algorithm, based on the greedy algorithm and identified available on-site space, is designed to solve this model. A comparative analysis with other widely-used <em>meta</em>-heuristic algorithms, such as ant colony optimization, genetic algorithms, and particle swarm optimization, demonstrates the superiority of the designed algorithm in solving the CSLP problem. Lastly, a Building Information Modeling (BIM)-based parametric modeling is employed to automatically and dynamically present the optimized results in a 3D format. The proposed approach is illustrated and validated through a case study conducted in Chongqing, China. The findings reveal that the proposed approach can efficiently and accurately produce 3D layouts for storage and processing TFs accommodating both primary and reused materials. Not only does this study enrich the existing literature on CSLP, but it also presents practical solutions for real-world planning.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103314"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820711","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}

{"title":"Interpretable knowledge recommendation for intelligent process planning with graph embedded deep reinforcement learning","authors":"Guanghui Zhou ,&nbsp;Chong Han ,&nbsp;Chao Zhang ,&nbsp;Yaguang Zhou ,&nbsp;Keyan Zeng ,&nbsp;Jiancong Liu ,&nbsp;Jiacheng Li ,&nbsp;Kai Ding ,&nbsp;Felix T.S. Chan","doi":"10.1016/j.aei.2025.103321","DOIUrl":"10.1016/j.aei.2025.103321","url":null,"abstract":"<div><div>In the context of Industry 4.0, knowledge recommendation serves as the basis for intelligent process planning. However, the limited interpretability of knowledge recommendation systems make it challenging for users to understand and trust the recommendation process. Consequently, this paper defines an interpretable knowledge recommendation process (iKRP) task that transforms the knowledge recommendation process into a sequential decision-making task through deep reinforcement learning (DRL). It then generates relational paths to the answers based on the topic entities within the knowledge graph. To improve the interpretability of the recommended process knowledge, the following research approaches are proposed: (1) a framework for recommending sequences of process decision knowledge; (2) a TransEx knowledge graph embedding model that integrates attention mechanisms and complex-valued embeddings, with the accuracy improvements of 5.56 % over baseline method; (3) a process knowledge recommendation network based on DRL through the asynchronous superior actor-critic algorithm to achieve interpretability; (4) enhanced interpretability of the recommended process knowledge via the presentation of clear decision paths. Finally, the validity and reliability of the proposed method are demonstrated through application cases, which achieve a final accuracy rate of 0.8148.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103321"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820811","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}

{"title":"Point-driven robot selective grinding method based on region growing for turbine blade","authors":"Ziling Wang ,&nbsp;Lai Zou ,&nbsp;Junjie Zhang ,&nbsp;Yilin Mu ,&nbsp;Wenxi Wang ,&nbsp;Jinhao Xiao","doi":"10.1016/j.aei.2025.103325","DOIUrl":"10.1016/j.aei.2025.103325","url":null,"abstract":"<div><div>The complex geometric characteristics and the uneven allowance distribution of turbine blades restrict the grinding accuracy of robots. A novel point-driven robot selective grinding method based on region growing is proposed to enhance the surface accuracy of the turbine blade. First, this method calculates the curvature of every surface point among the turbine blade point clouds located at the slicing plane. Then, all surface points are segmented into intake edge points, exhaust edge points, convex points, and concave points. Moreover, the ideal normal grinding force (INGF) of every surface point at blade edges and profile is calculated based on the allowance distribution and material removal rate of belt grinding. INGF values, as the main characteristics of these surface points, are used in the voxel-based region growing to obtain multiple grinding regions in the blade surface, and their corresponding INGF values are calculated. Finally, the planned robotic grinding trajectories are modified based on the INGF values of these grinding regions. Robotic grinding experiments with the blade point clouds are conducted. The surface accuracy of the turbine blade with the proposed method is improved by 46.49% compared to that with the traditional grinding method.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103325"},"PeriodicalIF":8.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820706","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}