Developments in the Built Environment最新文献_第9页

Evolutionary mechanism of construction enterprises' construction and demolition waste management under dual effects of public attention 公众关注双重效应下建筑企业建拆垃圾管理的演化机制

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-29 DOI: 10.1016/j.dibe.2025.100766

Xingwei Li, Beiyu Yi, Bei Peng

Construction and demolition waste (CDW) imposes severe environmental burdens through land occupation, energy consumption, and CO₂ emissions, demanding sustainable solutions. Effective management faces critical barriers: inadequate responsibility by construction enterprises (CEs) and public attention's dual role as both driver and disruptor. This study employs a dynamic game framework to analyze stakeholder interactions. Key findings reveal: (1) Results identify five evolutionary equilibria, among which the self-driven (0,1,0) and collaborative (1,1,1) states feature proactive CDW management practices by CEs. (2) CEs stabilize proactive practices only when public feedback distortion is < 0.5; beyond this threshold, decisions fluctuate with public and government behavior; (3) Merely increasing public attention fails to ensure positive outcomes, causing inaction or instability; (4) Government incentives for public attention can not indirectly encourage CEs' efforts, while insufficient public engagement impedes progress. Effective CDW management thus requires coordinated strategies prioritizing reduced information distortion.

建筑和拆迁垃圾（CDW）通过占用土地、消耗能源和排放二氧化碳给环境造成了严重负担，需要可持续的解决方案。有效的管理面临着关键的障碍：建筑企业（ce）的责任不足和公众关注既是驱动者又是破坏者的双重角色。本研究采用动态博弈框架分析利益相关者的互动。主要研究结果表明：(1)研究结果确定了5个演化均衡，其中自驱动（0,1,0）和协作（1,1,1）状态具有主动式CDW管理实践特征。(2)只有当公众反馈失真为<； 0.5时，ce才能稳定主动实践；超过这个阈值，决策就会随着公众和政府的行为而波动；(3)仅仅增加公众关注并不能确保积极的结果，导致不作为或不稳定；(4)政府对公众关注的激励不能间接地激励环保企业的努力，而公众参与不足阻碍了环保企业的进步。因此，有效的CDW管理需要协调战略，优先考虑减少信息失真。

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引用次数: 0

Utilization of xoal gangue and waste incineration fly ash under high temperature sintering in cementitious materials: Physico-Mechanical properties and hydration products 高温烧结下煤矸石和垃圾焚烧粉煤灰在胶凝材料中的应用：物理力学性能及水化产物

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-25 DOI: 10.1016/j.dibe.2025.100765

Guofu Chen , Tingshu He , Xiaodong Ma , Renhe Yang , Yongqi Da

Coal gangue (CG) and Waste incineration fly ash (WIFA) are the main solid waste in China. In order to value-added utilization of both solid waste types, while achieving effective consolidation of harmful substances in WIFA. In this study, CG and WIFA were calcined at different temperatures and blending to obtain CG-WIFA, which will be used as a substitute for cement to prepare cement-based materials. Firstly, the phase composition and microstructure of CG-WIFA were analyzed. Then, the flowability, mechanical properties, and pozzolanic activity of the mortar prepared by CG-WIFA were analyzed. Finally, X-ray diffraction (XRD), thermogravimetric analysis (TG-DTG), and mercury intrusion porosimetry (MIP) were employed to investigate the hydration degree and pore structure evolution of cement incorporated with CG-WIFA. The results showed that the roundness of CG-WIFA increased at calcination temperatures above 1000 °C, and the slump of 1200CG-20WIFA reached 225 mm, an increase of 10.8 % compared to C. The pozzolanic activities of 700CG-0WIFA and 800CG-0WIFA were measured as 70.9 % and 74.6 %, respectively. Upon compounding with 20 % WIFA, these values increased to 88.3 % and 80.2 %. The addition of WIFA accelerated the hydration reaction of C₃S and C₂S in the cement, and refined the pore size of the cement.

煤矸石（CG）和垃圾焚烧粉煤灰（WIFA）是中国主要的固体废物。以便对两种固体废物类型进行增值利用，同时实现对ifa中有害物质的有效固化。本研究将CG和WIFA在不同温度下进行煅烧，并进行共混，得到CG-WIFA，作为水泥的替代品，用于制备水泥基材料。首先，分析了CG-WIFA的相组成和显微组织。然后对CG-WIFA砂浆的流动性、力学性能和火山灰活性进行了分析。最后，采用x射线衍射（XRD）、热重分析（TG-DTG）和压汞孔隙度测定（MIP）等方法对掺入CG-WIFA水泥的水化程度和孔隙结构演化进行了研究。结果表明，在1000℃以上的煅烧温度下，CG-WIFA的圆度增大，1200CG-20WIFA的坍落度达到225 mm，比C提高了10.8%，700CG-0WIFA和800CG-0WIFA的火山灰活性分别为70.9%和74.6%。在与20%的WIFA复合后，这些值分别增加到88.3%和80.2%。WIFA的加入加速了水泥中C3S和C2S的水化反应，细化了水泥的孔径。

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引用次数: 0

Effect of normal and PCE-Modified C-S-H seeds on cement paste properties: A statistical approach using local polynomial regression and functional ANOVA 正常和pce改性C-S-H种子对水泥浆体性能的影响：采用局部多项式回归和功能方差分析的统计方法

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-25 DOI: 10.1016/j.dibe.2025.100764

Aaditya Bikram Chand , R.C. Kshitiz , Sabin Dulal , Yagyamani Rijal , Rahesh Hari , Mini K. Madhavan

Calcium silicate hydrate (C-S-H) seeds have emerged as a viable option for accelerators in concrete. The study investigates influence of synthetic C-S-H nanoparticles, unmodified (Normal_CSH) and polycarboxylate ether-modified (PCE_CSH), on setting behaviour, workability, strength development, and shrinkage characteristics of cementitious systems. Rice husk ash and carbide slag, two industrial waste materials, are used as sources of silicon and calcium for synthesis of C-S-H. Local Polynomial Regression and Functional ANOVA employed to statistically model and interpret effects of C-S-H. Compressive strength at 1, 3, 7, 28 days showed that both C-S-H types improve early-age strength, with peak gains up to 79 % at 2 % PCE_CSH. Optimal strength performance occurred within 1.3 %–2.5 % dosage, beyond which agglomeration effects limited further gains. Increased early-age shrinkage was observed, attributed to accelerated hydration, microstructural densification, and internal self-desiccation. The study establishes C-S-H, particularly PCE-modified form, as a promising additive for enhancing early performance in cement-based materials.

水合硅酸钙（C-S-H）种子已成为混凝土中加速剂的可行选择。该研究调查了合成C-S-H纳米颗粒，未改性（Normal_CSH）和聚羧酸酯醚改性（PCE_CSH）对胶凝体系的凝结行为、和易性、强度发展和收缩特性的影响。稻壳灰和电石渣这两种工业废料分别作为硅和钙的来源，用于合成C-S-H。采用局部多项式回归和功能方差分析统计模型和解释C-S-H的效果。1、3、7、28天的抗压强度表明，C-S-H两种类型的抗压强度都提高了早期强度，在2% PCE_CSH时，峰值增幅高达79%。最佳强度性能出现在1.3% - 2.5%的剂量范围内，超过此剂量，团聚效应限制了进一步的增强。由于加速水化、微观结构致密化和内部自干，观察到早期收缩增加。该研究确定了C-S-H，特别是pce改性形式，作为一种有前途的添加剂，可以提高水泥基材料的早期性能。

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引用次数: 0

Track foreign object image augmentation based on the proposed PLCA-pix2pixGAN method 基于所提出的PLCA-pix2pixGAN方法的跟踪外目标图像增强

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-24 DOI: 10.1016/j.dibe.2025.100754

Xinyu Fan, Xuxu Yang, Feifei Hou, Cuipu Xi, Yijun Wang

The presence of foreign objects on railway tracks poses serious safety risks and may lead to accidents or service disruptions. However, existing detection systems based on deep learning are often constrained by small datasets, limited sample diversity, and low realism in synthesized training images. To address these issues, this paper proposes PLCA-pix2pixGAN (Perceptual Loss and Channel Attention Enhanced pix2pix GAN) to generate high-quality synthetic images for data augmentation. The method overlays object templates onto real-world track images to build a composite dataset and applies interpretable augmentation to simulate lighting and weather changes. To enhance fidelity, a channel attention mechanism enables region-aware reconstruction, and a multi-objective loss combines perceptual loss with adaptive weighting to balance pixel-level accuracy and semantic consistency. Experiments show the proposed method achieves an average SSIM of 0.9106 across object categories, demonstrating its effectiveness in generating realistic, structurally consistent images for safety-critical foreign object detection in railway systems.

铁路轨道上的异物会带来严重的安全风险，并可能导致事故或服务中断。然而，现有的基于深度学习的检测系统往往受到数据集小、样本多样性有限和合成训练图像真实感低的限制。为了解决这些问题，本文提出了PLCA-pix2pixGAN（感知损失和信道注意增强的pix2pixGAN）来生成用于数据增强的高质量合成图像。该方法将对象模板叠加到真实的轨道图像上，以构建复合数据集，并应用可解释的增强来模拟光照和天气变化。为了提高保真度，通道注意机制支持区域感知重建，多目标损失将感知损失与自适应加权相结合，以平衡像素级精度和语义一致性。实验表明，该方法在不同目标类别间的平均SSIM为0.9106，证明了该方法在为铁路系统安全关键的异物检测生成逼真、结构一致的图像方面的有效性。

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引用次数: 0

Exploring the impact of emissivity and orientation of fully glazed facades on urban microclimates 探索全玻璃立面的发射率和朝向对城市微气候的影响

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-22 DOI: 10.1016/j.dibe.2025.100758

Elham Sanagar Darbani, Ehsan Sharifi, Veronica Soebarto

Fully glazed façades are increasingly common in modern architecture, yet their influence on outdoor conditions remains underexplored. This study examines how glass emissivity (0.84, 0.5, 0.3, 0.07) and façade orientation (0°, 45°, 90°, 135°, 180°, 225°, 270°, 315°) affect mean radiant temperature and longwave radiation at a site in Adelaide, South Australia. Using ENVI-met (V5.6.1), 64 simulations were run for the city's hottest and coldest days. Results show that higher-emissivity façades increase MRT and LW Rad, particularly in summer. MRT emerged as the most sensitive parameter to emissivity changes, with seasonal variation affecting comfort. In winter, higher emissivity slightly improves conditions, while in summer, lower emissivity enhances outdoor environment. Façade orientations of 0°, 225°, 270°, and 315° were linked to the highest MRT and LW Rad values. These findings underscore the importance of façade materials and orientation in shaping outdoor microclimates and offer valuable insights into climate-sensitive urban design.

全玻璃幕墙在现代建筑中越来越普遍，但它们对室外条件的影响仍未得到充分探讨。本研究考察了南澳大利亚阿德莱德一个地点的玻璃发射率（0.84、0.5、0.3、0.07）和表面朝向（0°、45°、90°、135°、180°、225°、270°、315°）对平均辐射温度和长波辐射的影响。使用ENVI-met (V5.6.1)，对城市最热和最冷的日子进行了64次模拟。研究结果表明，辐射率较高的区域增加了MRT和lwrad，特别是在夏季。MRT是对发射率变化最敏感的参数，季节变化影响舒适度。在冬季，较高的辐射率略微改善了条件，而在夏季，较低的辐射率改善了室外环境。正面方向0°、225°、270°和315°与最高MRT和LW Rad值有关。这些发现强调了立面材料和朝向在塑造室外小气候中的重要性，并为气候敏感型城市设计提供了有价值的见解。

引用次数: 0

Unraveling household energy service relevant resilience behaviors for natural disasters: Perspective of extended protection motivation theory 家庭能源服务对自然灾害的适应力行为：延伸保护动机理论的视角

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-20 DOI: 10.1016/j.dibe.2025.100763

Biao Kuang , Yuqing Hu , Jianli Chen

Households need to implement preventive measures to prepare for increasing natural disasters, yet research on investigating and explaining energy-related resilience behaviors remains limited. This survey-based study examines household intentions toward energy resilience behaviors: (1) proactive measures, including structural (e.g., upgrading homes/appliances) and emergency actions (e.g., securing backup energy), and (2) reactive (avoidance) measures, i.e., reducing energy use during disasters. Using an extended Protection Motivation Theory framework and structural equation modeling, this paper reveals that households have lower intentions toward proactive measures than reactive measures. Threat appraisal (i.e., perceived severity and vulnerability) significantly increases behavioral intentions, while perceived cost or discomfort consistently reduces them. In contrast, response efficacy, defined as perceived effectiveness of actions, only significantly influences reactive measures. More importantly, self-efficacy, as the perceived ability to perform preventive behaviors, is the key determinant of proactive actions (β = 0.39 or 0.62), while energy-saving knowledge predominantly drives reactive behaviors (β = 0.39). Furthermore, response knowledge, reinforced by external support, enhances behavioral intentions both directly and indirectly by strengthening self-efficacy. These findings underscore improving knowledge of resilience behaviors and expanding social support to enhance household preparedness and maintain essential energy services during disasters.

家庭需要实施预防措施，为日益增加的自然灾害做好准备，但调查和解释与能源有关的恢复力行为的研究仍然有限。这项基于调查的研究考察了家庭对能源弹性行为的意图：(1)主动措施，包括结构性措施（例如，升级家庭/电器）和紧急行动（例如，确保备用能源），以及(2)反应性（回避）措施，即减少灾害期间的能源使用。利用扩展的保护动机理论框架和结构方程模型，本文揭示了家庭对主动措施的意愿低于被动措施。威胁评估（即，感知到的严重性和脆弱性）显著地增加了行为意图，而感知到的成本或不适持续地减少了它们。相反，反应效能，定义为行动的感知有效性，只显著影响反应措施。更重要的是，自我效能感作为实施预防行为的感知能力，是主动行动的关键决定因素（β = 0.39或0.62），而节能知识主要驱动反应性行为（β = 0.39）。反应知识在外部支持的强化下，通过增强自我效能感，直接或间接地增强行为意图。这些发现强调了提高对抗灾行为的认识和扩大社会支持，以加强家庭备灾和维持灾害期间的基本能源服务。

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引用次数: 0

Cost-effective indoor air quality monitoring in schools: in-field calibration of PM low-cost sensor 具有成本效益的学校室内空气质量监测：PM低成本传感器的现场校准

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-19 DOI: 10.1016/j.dibe.2025.100762

J.P. Sá, H. Chojer, P.T.B.S. Branco, M.C.M. Alvim-Ferraz, F.G. Martins, S.I.V. Sousa

The availability of low-cost sensors (LCS) devices for indoor air monitoring has boosted air pollution field. This study aims to calibrate particulate matter (PM) LCS (PM₁, PM_2.5 and PM₁₀) in four age groups/types of rooms (infants, preschoolers, schoolers and lunchroom) during occupancy and non-occupancy period in nursery and primary schools in Porto, considering the purpose of being used as a tool to empower schools to apply indoor air pollution (IAP) mitigation measures.

Sixteen LCS devices (AirVisual Pro) and three research-grade instruments (DustTrak DRX 8534/8533) were used to monitor PM in around 130 different samplings. Before calibration, a methodology approach based on local maxima was applied to all PM fractions of LCS data, since various error events were found. Thus, after identifying and removing these events, a merged dataset was created using 1-min mean of LCS and reference data. Calibration models were applied, such as simple and multiple linear regressions (LR and MLR), linear and non-linear support vector regression (SVR) and gradient boosting regression (GBR).

A strong linear relationship was observed between LCS device and reference data, especially for non-occupancy period and in finer PM fractions (Pearson's correlation reached 0.94 for PM₁ and PM_2.5). While PM₁₀ exhibited a slightly weaker correlation than the other PM fractions. The calibration models, particularly SVR and GBR models, significantly improved the results depending on the PM fraction, age group/type of room and occupancy pattern. Overall, results indicated that LCS devices are an effective tool for managing IAQ in schools, based on PM sensor.

用于室内空气监测的低成本传感器（LCS）设备的出现促进了空气污染领域的发展。本研究旨在校准波尔图幼儿园和小学入住和非入住期间四个年龄组/类型房间（婴儿，学龄前儿童，学童和午餐室）的颗粒物（PM） LCS (PM1, PM2.5和PM10)，考虑将其用作授权学校应用室内空气污染（IAP）缓解措施的工具的目的。16个LCS设备（AirVisual Pro）和3个研究级仪器（DustTrak DRX 8534/8533）用于监测大约130个不同样品的PM。在校准之前，由于发现了各种误差事件，因此将基于局部最大值的方法方法应用于LCS数据的所有PM部分。因此，在识别和删除这些事件后，使用LCS和参考数据的1分钟平均值创建合并数据集。采用简单线性和多元线性回归（LR和MLR）、线性和非线性支持向量回归（SVR）和梯度增强回归（GBR）等校正模型。LCS设备与参考数据之间存在很强的线性关系，特别是在非占用期和细颗粒物中（PM1和PM2.5的Pearson相关系数达到0.94）。而PM10的相关性略弱于其他PM组分。校正模型，特别是SVR和GBR模型，显著改善了PM分数、年龄组/房间类型和入住模式的结果。总体而言，结果表明LCS设备是管理学校室内空气质量的有效工具，基于PM传感器。

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引用次数: 0

MambaFuse: Cross-scale state space fusion for crack segmentation MambaFuse：用于裂纹分割的跨尺度状态空间融合

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-19 DOI: 10.1016/j.dibe.2025.100751

Yunlong Song , Jingzhe Kang , Yumeng Su , Shiying Zhang , Qi Zhang , Youling Yu , Zhaomin Zhan , Weiping Zhang

The detection of cracks on the surface of infrastructure structures is a critical component of structural health monitoring. Addressing the core challenge of insufficient long-range dependency modeling in low-resolution crack detection, this paper proposes MambaFuse, a novel multilevel encoder–decoder model. This framework innovatively integrates the local feature extraction capability of CNNs, the global modeling strength of Transformers, and the long-sequence processing characteristics of Mamba. Field tests based on an autonomous mobile detection platform confirm the model’s exceptional ability to maintain crack topological continuity in real-time detection, with its selective state space mechanism successfully resolving fracture issues commonly encountered in dynamic mobile imaging. To advance research in this field, we constructed the CrackBench benchmark dataset containing 1,000 annotated images from multiple scenarios, and developed a geometry-based crack quantification method that enables direct conversion from pixel-level detection to engineering-applicable quantitative metrics. Experimental results demonstrate state-of-the-art performance in multiple benchmark datasets: 90.04% mIoU on DeepCrack, 79. 58% mIoU on Crack500 and 86. 17% mIoU on CrackBench, validating its superior segmentation accuracy and cross-scenario robustness.

基础设施结构表面裂缝检测是结构健康监测的重要组成部分。针对低分辨率裂纹检测中远程依赖建模不足的核心问题，提出了一种新的多层编码器-解码器模型MambaFuse。该框架创新性地融合了cnn的局部特征提取能力、Transformers的全局建模能力和Mamba的长序列处理特性。基于自主移动检测平台的现场测试证实了该模型在实时检测中保持裂缝拓扑连续性的卓越能力，其选择状态空间机制成功解决了动态移动成像中常见的裂缝问题。为了推进这一领域的研究，我们构建了包含1000张来自多个场景的注释图像的CrackBench基准数据集，并开发了一种基于几何的裂纹量化方法，该方法可以将像素级检测直接转换为工程适用的定量指标。实验结果在多个基准数据集上显示了最先进的性能：DeepCrack上的mIoU为90.04%,79。58%的mIoU在Crack500和86上。在CrackBench上有17%的mIoU，验证了其优越的分割准确性和跨场景鲁棒性。

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引用次数: 0

Bamboo reinforced panels with recycled concrete aggregates: A comparative study between cement and geopolymer concrete 再生混凝土骨料竹增强板：水泥与地聚合物混凝土的比较研究

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-18 DOI: 10.1016/j.dibe.2025.100753

Balamurali Kanagaraj , Tattukolla Kiran , N. Anand , G. Jayakumar , Eva Lubloy

The present study examines the behavior of bamboo-reinforced concrete slabs with two distinct concrete types (cement concrete and geopolymer concrete (GPC)) under the influence of recycled concrete aggregate (RCA). Four types of slab systems were examined, namely, CBC (cement concrete-based bamboo reinforced composite panels), CRBC (recycled concrete aggregate blended cement-based bamboo reinforced composite panels), GBC (geopolymer-based bamboo reinforced composite panels), and GRBC (recycled concrete aggregate blended geopolymer-based bamboo reinforced composite panels). The slab panels were evaluated through non-destructive testing (ultrasonic pulse velocity and rebound hammer test) and structural loading tests to measure first crack load, ultimate load, load-deflection behavior, stiffness, ductility index, deformability factor, and energy absorption capacity. In addition, cost-efficiency, energy demand, and eco-efficiency were analyzed. GBC specimen shows 19.6 % higher load carrying capacity than CBC specimen; meanwhile, GRBC specimen shows 22 % higher load carrying capacity than CRBC specimen. In comparison between the CBC and GBC specimens, the CBC possesses 49 % lower energy absorption capacity when compared to the GBC specimen. Meanwhile, the CRBC specimen possesses 38 % lower value compared to its counterpart (GRBC specimen). GRBC specimens are found to be quite effective in terms of cost, along with the load-carrying capacity.

本研究考察了两种不同混凝土类型（水泥混凝土和地聚合物混凝土（GPC））的竹筋混凝土板在再生混凝土骨料（RCA）影响下的行为。研究了四种类型的板系统，即CBC（水泥混凝土基竹增强复合板）、CRBC（再生混凝土骨料水泥基竹增强复合板）、GBC（地聚合物基竹增强复合板）和GRBC（再生混凝土骨料混合地聚合物基竹增强复合板）。通过无损检测（超声脉冲速度和回弹锤试验）和结构加载试验对板坯进行评价，测量首次开裂载荷、极限载荷、荷载-挠曲性能、刚度、延性指数、变形系数和能量吸收能力。此外，还分析了成本效率、能源需求和生态效率。GBC试样的承载能力比CBC试样高19.6%；同时，GRBC试件的承载能力比CRBC试件高22%。对比CBC和GBC， CBC的能量吸收能力比GBC低49%。同时，与GRBC相比，CRBC样品的值降低了38%。研究发现，就成本和承载能力而言，GRBC试件是相当有效的。

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引用次数: 0

EEG signal cleaning for brain wave monitoring of construction workers using prediction and clustering models 基于预测聚类模型的建筑工人脑电波监测脑电信号清洗

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-09-18 DOI: 10.1016/j.dibe.2025.100760

Hanwen Ju, Tanyel Bulbul, Xiaoying Yang, Jeremy Withers

The use of electroencephalogram (EEG) signals is increasingly recognized as an effective method for assessing the workload and risk awareness of construction workers. However, due to sensor malfunctions and environmental interference, EEG signals often contain significant anomalies that hinder accurate cognitive analysis. This study proposes a robust EEG signal cleaning framework to automatically detect and reconstruct such abnormal data. The framework combines a fusion attention mechanism with a bidirectional gated recurrent unit (ATT-BiGRU) model for EEG signal prediction and employs the density-based spatial clustering of applications with noise (DBSCAN) algorithm for anomaly detection. The predicted data are then used to reconstruct missing or corrupted signal segments. A spatial perception experiment simulating AR-assisted indoor navigation and measurement tasks is conducted to validate the framework. Abnormal EEG data are categorized into four types: outliers, drift, missing, and minor signals. The ATT-BiGRU model achieves a prediction RMSE below 0.05, while the DBSCAN algorithm demonstrates over 96 % detection accuracy across multiple EEG channels. Additional validation using data from 20 participants shows consistent accuracy above 94 %. These results highlight both the technical efficacy and scalability of the proposed framework, as well as its potential for supporting cognitive monitoring in complex-built environments. By enhancing EEG signal reliability, the framework enables more effective tools for architectural cognition assessment, informs human-centered design strategies, and lays the foundation for adaptive environments that respond to users’ real-time neurophysiological states.

使用脑电图（EEG）信号越来越被认为是评估建筑工人工作量和风险意识的有效方法。然而，由于传感器故障和环境干扰，脑电图信号往往包含明显的异常，阻碍了准确的认知分析。本研究提出了一种鲁棒的脑电信号清洗框架，用于自动检测和重建此类异常数据。该框架将融合注意机制与双向门控循环单元（ATT-BiGRU）模型相结合用于脑电信号预测，并采用基于密度的带噪声应用空间聚类（DBSCAN）算法进行异常检测。预测的数据然后用于重建缺失或损坏的信号段。通过模拟ar辅助室内导航和测量任务的空间感知实验对该框架进行了验证。异常脑电图数据可分为异常值、漂移、缺失和次要信号四种类型。ATT-BiGRU模型的预测RMSE低于0.05，而DBSCAN算法在多个脑电通道上的检测准确率超过96%。使用来自20名参与者的数据进行的额外验证显示，一致性准确率高于94%。这些结果突出了所提出框架的技术有效性和可扩展性，以及它在复杂建筑环境中支持认知监测的潜力。通过增强EEG信号的可靠性，该框架为建筑认知评估提供了更有效的工具，为以人为本的设计策略提供了信息，并为响应用户实时神经生理状态的自适应环境奠定了基础。

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引用次数: 0