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Synthetic images generation for semantic understanding in facility management 面向设施管理语义理解的合成图像生成
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-02-28 DOI: 10.1108/ci-09-2022-0232
Luca Rampini, F. Re Cecconi
PurposeThis study aims to introduce a new methodology for generating synthetic images for facility management purposes. The method starts by leveraging the existing 3D open-source BIM models and using them inside a graphic engine to produce a photorealistic representation of indoor spaces enriched with facility-related objects. The virtual environment creates several images by changing lighting conditions, camera poses or material. Moreover, the created images are labeled and ready to be trained in the model.Design/methodology/approachThis paper focuses on the challenges characterizing object detection models to enrich digital twins with facility management-related information. The automatic detection of small objects, such as sockets, power plugs, etc., requires big, labeled data sets that are costly and time-consuming to create. This study proposes a solution based on existing 3D BIM models to produce quick and automatically labeled synthetic images.FindingsThe paper presents a conceptual model for creating synthetic images to increase the performance in training object detection models for facility management. The results show that virtually generated images, rather than an alternative to real images, are a powerful tool for integrating existing data sets. In other words, while a base of real images is still needed, introducing synthetic images helps augment the model’s performance and robustness in covering different types of objects.Originality/valueThis study introduced the first pipeline for creating synthetic images for facility management. Moreover, this paper validates this pipeline by proposing a case study where the performance of object detection models trained on real data or a combination of real and synthetic images are compared.
目的本研究旨在介绍一种为设施管理目的生成合成图像的新方法。该方法首先利用现有的3D开源BIM模型,并在图形引擎中使用它们来生成富含设施相关对象的室内空间的真实感表示。虚拟环境通过更改照明条件、相机姿势或材质来创建多个图像。此外,创建的图像被标记并准备在模型中进行训练。设计/方法论/方法本文侧重于描述对象检测模型的挑战,以利用设施管理相关信息丰富数字双胞胎。插座、电源插头等小物体的自动检测需要大的、有标签的数据集,创建这些数据集既昂贵又耗时。本研究提出了一种基于现有三维BIM模型的解决方案,以生成快速、自动标记的合成图像。发现本文提出了一个创建合成图像的概念模型,以提高训练设施管理对象检测模型的性能。结果表明,虚拟生成的图像是集成现有数据集的强大工具,而不是真实图像的替代品。换句话说,虽然仍然需要真实图像的基础,但引入合成图像有助于增强模型在覆盖不同类型对象方面的性能和稳健性。独创性/价值这项研究引入了第一个为设施管理创建合成图像的管道。此外,本文通过提出一个案例研究来验证这一管道,其中比较了在真实数据或真实图像和合成图像的组合上训练的目标检测模型的性能。
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引用次数: 1
The knowledge, attitude and practices (KAP) of Industry 4.0 between construction practitioners and academicians in Malaysia: a comparative study 马来西亚建筑从业者和学者对工业4.0的知识、态度和实践(KAP)的比较研究
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-02-20 DOI: 10.1108/ci-05-2022-0109
Nadia Safura Zabidin, S. Belayutham, C. K. C. Che Ibrahim
PurposeThe purpose of this study is to explore the knowledge, attitude and practices (KAP) of Industry 4.0 between the academicians and industry players in construction engineering, further suggesting a mechanism to narrow the gap between the distinct parties.Design/methodology/approachThis study was conducted through structured online and face-to-face interviews, using KAP survey, and semi-structured interviews. This constructive research was conducted among Malaysian construction industry players and academicians from the construction engineering department in public universities.FindingsThe findings exhibit the similarities and differences of KAP between academics and industry on Industry 4.0 in construction engineering. In general, both categories of respondents have displayed more similarities than differences in all aspects, except for knowledge. The better knowledge profile of Industry 4.0 among the academicians reflects the nature of the academic works that constantly seek new knowledge, thus suggesting the establishment of an industry-academic (I-A) knowledge equilibrium framework to leverage the knowledge profile between both parties.Research limitations/implicationsThis exploratory study that showcases the perspective of the academia and industry practitioners on Industry 4.0 acts as a cornerstone for bridging the gap between the two distinct sectors within the same field.Practical implicationsThe gap between the academic and industry was highlighted, further establishing the I-A knowledge equilibrium framework that could also be applied to other fields of study.Originality/valueThe originality of this paper was the profiling of the KAP of Industry 4.0 for the academicians and industry players in construction engineering, further distinguishing the gap between both parties.
目的本研究旨在探讨建筑工程领域院士和行业参与者对工业4.0的知识、态度和实践(KAP),进一步提出缩小不同党派之间差距的机制。设计/方法/方法本研究通过结构化的在线和面对面访谈、KAP调查和半结构化访谈进行。这项建设性的研究是在马来西亚建筑业参与者和公立大学建筑工程系院士中进行的。研究结果显示了学术界和工业界在建筑工程工业4.0方面的KAP的异同。总的来说,除知识外,这两类受访者在所有方面都表现出更多的相似性而非差异性。院士们对工业4.0的更好的知识图谱反映了学术作品不断寻求新知识的性质,从而建议建立一个工业-学术(I-A)知识平衡框架,以利用双方之间的知识图谱。研究局限性/含义这项探索性研究展示了学术界和行业从业者对工业4.0的看法,是弥合同一领域内两个不同部门之间差距的基石。实践意义强调了学术界和工业界之间的差距,进一步建立了I-A知识平衡框架,该框架也可应用于其他研究领域。独创性/价值本文的独创性是为建筑工程领域的院士和行业参与者剖析工业4.0的KAP,进一步区分了双方之间的差距。
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引用次数: 0
Social media sensing framework for urban infrastructure management: a Philippine case study 城市基础设施管理的社会媒体感知框架:菲律宾案例研究
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-02-08 DOI: 10.1108/ci-04-2022-0082
S. T. Do, V. Nguyen, Denver Banlasan
PurposeThis study aims to use social media data mining to revitalize and support existing urban infrastructure monitoring strategies by extracting valuable insights from public opinion, as current strategies struggle with issues such as adaptability to changing conditions, public engagement and cost effectiveness.Design/methodology/approachTwitter messages or “Tweets” about public infrastructure in the Philippines were gathered and analyzed to discover reoccurring concerns in public infrastructure, emerging topics in public debates and the people’s general view of infrastructure services.FindingsThis study proposes a topic model for extracting dominating subjects from aggregated social media data, as well as a sentiment analysis model for determining public opinion sentiment toward various urban infrastructure components.Originality/valueThe findings of this study highlight the potential of social media data mining to go beyond the limitations of traditional data collection techniques, as well as the importance of public opinion as a key driver for more user-involved infrastructure management and as an important social aspect that can be used to support planning and response strategies in routine maintenance, preservation and improvement of urban infrastructure systems.
目的本研究旨在利用社交媒体数据挖掘,通过从公众舆论中提取有价值的见解,振兴和支持现有的城市基础设施监测战略,因为当前的战略正在与适应变化的条件、公众参与和成本效益等问题作斗争。收集和分析了关于菲律宾公共基础设施的设计/方法/方法推特消息或“推特”,以发现公共基础设施中反复出现的问题、公共辩论中新出现的话题以及人们对基础设施服务的普遍看法。发现这项研究提出了一个主题模型,用于从聚合的社交媒体数据中提取主导主题,以及一个情绪分析模型,用于确定公众对各种城市基础设施组成部分的情绪。原创性/价值本研究的发现突出了社交媒体数据挖掘超越传统数据收集技术局限性的潜力,以及公众舆论作为更多用户参与的基础设施管理的关键驱动因素的重要性,以及作为可用于支持日常维护中的规划和响应策略的重要社会方面的重要性,保护和改善城市基础设施系统。
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引用次数: 0
A new concept for large additive manufacturing in construction: tower crane-based 3D printing controlled by deep reinforcement learning 建筑业大型增材制造的一个新概念:深度强化学习控制的基于塔式起重机的3D打印
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-31 DOI: 10.1108/ci-10-2022-0278
F. Parisi, V. Sangiorgio, N. Parisi, A. M. Mangini, M. P. Fanti, J. Adam
PurposeMost of the 3D printing machines do not comply with the requirements of on-site, large-scale multi-story building construction. This paper aims to propose the conceptualization of a tower crane (TC)-based 3D printing controlled by artificial intelligence (AI) as the first step towards a large 3D printing development for multi-story buildings. It also aims to overcome the most important limitation of additive manufacturing in the construction industry (the build volume) by exploiting the most important machine used in the field: TCs. It assesses the technology feasibility by investigating the accuracy reached in the printing process.Design/methodology/approachThe research is composed of three main steps: firstly, the TC-based 3D printing concept is defined by proposing an aero-pendulum extruder stabilized by propellers to control the trajectory during the extrusion process; secondly, an AI-based system is defined to control both the crane and the extruder toolpath by exploiting deep reinforcement learning (DRL) control approach; thirdly the proposed framework is validated by simulating the dynamical system and analysing its performance.FindingsThe TC-based 3D printer can be effectively used for additive manufacturing in the construction industry. Both the TC and its extruder can be properly controlled by an AI-based control system. The paper shows the effectiveness of the aero-pendulum extruder controlled by AI demonstrated by simulations and validation. The AI-based control system allows for reaching an acceptable tolerance with respect to the ideal trajectory compared with the system tolerance without stabilization.Originality/valueIn related literature, scientific investigations concerning the use of crane systems for 3D printing and AI-based systems for control are completely missing. To the best of the authors’ knowledge, the proposed research demonstrates for the first time the effectiveness of this technology conceptualized and controlled with an intelligent DRL agent.Practical implicationsThe results provide the first step towards the development of a new additive manufacturing system for multi-storey constructions exploiting the TC-based 3D printing. The demonstration of the conceptualization feasibility and the control system opens up new possibilities to activate experimental research for companies and research centres.
目的大多数3D打印设备不符合现场、大型多层建筑施工的要求。本文旨在提出由人工智能(AI)控制的基于塔式起重机(TC)的3D打印的概念,作为开发多层建筑的大型3D打印的第一步。它还旨在通过开发该领域最重要的机器:TC来克服建筑行业增材制造的最重要限制(生产量)。它通过调查印刷过程中达到的精度来评估技术的可行性。设计/方法论/方法研究主要由三个步骤组成:首先,通过提出一种由螺旋桨稳定的航空摆式挤出机来控制挤出过程中的轨迹,定义了基于TC的3D打印概念;其次,利用深度强化学习(DRL)控制方法,定义了一个基于人工智能的系统来控制起重机和挤出机刀具路径;第三,通过对动力系统的仿真和性能分析,验证了该框架的有效性。发现基于TC的3D打印机可以有效地用于建筑行业的增材制造。TC及其挤出机都可以通过基于AI的控制系统进行适当控制。通过仿真和验证,证明了人工智能控制航空摆式挤出机的有效性。与没有稳定的系统公差相比,基于AI的控制系统允许相对于理想轨迹达到可接受的公差。原创性/价值在相关文献中,关于使用起重机系统进行3D打印和基于人工智能的控制系统的科学研究完全缺失。据作者所知,所提出的研究首次证明了用智能DRL代理概念化和控制这项技术的有效性。实际意义研究结果为开发基于TC的3D打印的多层建筑新增材制造系统迈出了第一步。概念化可行性和控制系统的演示为公司和研究中心激活实验研究开辟了新的可能性。
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引用次数: 1
Relationship between digital twin and building information modeling: a systematic review and future directions 数字孪生与建筑信息建模的关系:系统综述与未来发展方向
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-26 DOI: 10.1108/ci-07-2022-0183
A. R. Radzi, N. Azmi, S. Kamaruzzaman, R. Rahman, E. Papadonikolaki
PurposeDigital twin (DT) and building information modeling (BIM) are interconnected in some ways. However, there has been some misconception about how DT differs from BIM. As a result, industry professionals reject DT even in BIM-based construction projects due to reluctance to innovate. Furthermore, researchers have repeatedly developed tools and techniques with the same goals using DT and BIM to assist practitioners in construction projects. Therefore, this study aims to assist industry professionals and researchers in understanding the relationship between DT and BIM and synthesize existing works on DT and BIM.Design/methodology/approachA systematic review was conducted on published articles related to DT and BIM. A total record of 54 journal articles were identified and analyzed.FindingsThe analysis of the selected journal articles revealed four types of relationships between DT and BIM: BIM is a subset of DT, DT is a subset of BIM, BIM is DT, and no relationship between BIM and DT. The existing research on DT and BIM in construction projects targets improvements in five areas: planning, design, construction, operations and maintenance, and decommissioning. In addition, several areas have emerged, such as developing geo-referencing approaches for infrastructure projects, applying the proposed methodology to other construction geometries and creating 3D visualization using color schemes.Originality/valueThis study contributed to the existing body of knowledge by overviewing existing research related to DT and BIM in construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research.
目的数字孪生(DT)和建筑信息建模(BIM)在某些方面是相互联系的。然而,人们对DT与BIM的区别存在一些误解。因此,即使在基于BIM的建筑项目中,行业专业人士也会因为不愿创新而拒绝DT。此外,研究人员多次开发具有相同目标的工具和技术,使用DT和BIM来帮助建筑项目的从业者。因此,本研究旨在帮助行业专业人士和研究人员理解DT和BIM之间的关系,并综合现有的DT和BIM工作。设计/方法/方法对已发表的与DT和BIM相关的文章进行了系统回顾。对54篇期刊文章的记录进行了识别和分析。发现对所选期刊文章的分析揭示了DT和BIM之间的四种关系:BIM是DT的子集,DT是BIM的子集,BIM是DT,BIM和DT之间没有关系。建筑项目中现有的DT和BIM研究目标是在五个领域进行改进:规划、设计、施工、运营和维护以及退役。此外,还出现了几个领域,例如为基础设施项目开发地理参考方法,将所提出的方法应用于其他建筑几何形状,以及使用配色方案创建3D可视化。原创性/价值本研究通过概述建筑项目中与DT和BIM相关的现有研究,为现有知识体系做出了贡献。此外,它还揭示了知识体系中的研究差距,为未来的研究指明了方向。
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引用次数: 0
Method for automating the processes of generating and using 4D BIM models integrated with location-based planning and Last Planner® System 与基于位置的规划和Last Planner®系统集成的4D BIM模型生成和使用过程自动化方法
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-23 DOI: 10.1108/ci-02-2022-0030
B. F. Silveira, D. Costa
PurposeSeveral studies have addressed the use of four-dimensional (4D) building information modeling (BIM) for construction management. However, the automation of the processes for generating 4D models and their integrated use with Location-Based Planning and the Last Planner® System is not well discussed. Therefore, this paper aims to develop a method for automating the generation and use of 4D BIM models integrated with Location-Based Planning and Last Planner® System supporting project control cycles.Design/methodology/approachThe research strategy adopted was Design Science Research. The automated method for using the 4D models was developed and refined in two residential building projects in Brazil, along with 31 meetings and involving 11 direct users. The assessment of the proposed method focuses on four constructs: the impact of process automation, the impact on the identification and assessment of site progress and the planning process, ease of adoption and utility of the proposed method.FindingsThe results of this paper indicated increased adherence between planned and executed through an automated method for using the 4D models. The established routines enabled automating the link between the planning levels and the three-dimensional (3D) model, providing a more agile and updated data source and achieving 92.8% of user satisfaction regarding the deadline and frequency of delivery of the 4D model reports. Moreover, this study identified the relationships between the processes of the method proposed and Digital Models.Originality/valueThe primary scientific value achieved in this study is creating a method for automating processes and simplifying steps for the generation and use of 4D BIM models in the production planning and control cycles during the construction phase.
一些研究已经解决了四维(4D)建筑信息模型(BIM)在施工管理中的应用。然而,生成4D模型的过程自动化及其与基于位置的规划和Last Planner®系统的集成使用并没有得到很好的讨论。因此,本文旨在开发一种自动化生成和使用4D BIM模型的方法,该模型与基于位置的规划和Last Planner®系统相结合,支持项目控制周期。采用的研究策略是设计科学研究。使用4D模型的自动化方法是在巴西的两个住宅建筑项目中开发和完善的,伴随着31次会议,涉及11个直接用户。对所提出方法的评估主要集中在四个方面:过程自动化的影响、对现场进度和规划过程的识别和评估的影响、所提出方法的易采用性和实用性。研究结果表明,通过使用4D模型的自动化方法,计划和执行之间的依从性增加。已建立的程序使规划层和三维模型之间的联系自动化,提供了一个更灵活和更新的数据源,并在交付4D模型报告的截止日期和频率方面达到92.8%的用户满意度。此外,本研究还确定了所提出方法的过程与数字模型之间的关系。原创性/价值本研究实现的主要科学价值是在施工阶段的生产计划和控制周期中创建一种自动化流程和简化生成和使用4D BIM模型的步骤的方法。
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引用次数: 2
Application of gamification for sustainable construction: an evaluation of the challenges 游戏化在可持续建筑中的应用:挑战评估
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-20 DOI: 10.1108/ci-09-2022-0247
Ayodeji Emmanuel Oke, John Aliu, P. Tunji-Olayeni, T. Abayomi
PurposeThis paper aims to identify and evaluate the challenges affecting the adoption of gamification practices in developing countries through the lens of the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted through which challenges to the adoption of gamification practices were identified, which helped in the formulation of a questionnaire survey. Data was obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using several statistical tools such as percentages, frequencies, mean item scores (MIS) and exploratory factor analyses.FindingsBased on the MIS ranking results, the top five significant challenges to the adoption of gamification were lack of capacity and expertise, lack of budgeting for innovation, lack of technical infrastructure, hesitation to adopt and limited internet connectivity. Through factor analysis, the challenges identified were categorized into five principal clusters, namely, organizational challenges, technical-related challenges, human-related challenges, data security challenges and economic challenges.Practical implicationsThe identification and evaluation of the key challenges hindering the adoption of gamification practices would help construction organizations and stakeholders to understand the need to embrace and implement the concept into their activities, operations and processes to improve the engagement and motivation levels of employees.Originality/valueTo the best of the authors’ knowledge, this study is the first of its kind in the study area to identify and evaluate the challenges affecting the adoption of gamification practices using a structured quantitative approach.
目的本文旨在通过尼日利亚建筑业的视角,识别和评估影响发展中国家采用游戏化实践的挑战。设计/方法/方法进行了范围界定文献综述,通过该综述确定了采用游戏化实践的挑战,这有助于制定问卷调查。数据来自建筑专业人士,包括建筑师、建筑商、工程师和工料测量师。使用百分比、频率、平均项目得分(MIS)和探索性因素分析等多种统计工具对检索到的数据进行分析。发现根据MIS排名结果,采用游戏化的五大主要挑战是缺乏能力和专业知识、缺乏创新预算、缺乏技术基础设施、犹豫采用和互联网连接有限。通过因素分析,确定的挑战分为五大类,即组织挑战、技术相关挑战、人力相关挑战、数据安全挑战和经济挑战。实际含义识别和评估阻碍采用游戏化实践的关键挑战,将有助于施工组织和利益相关者理解在其活动、运营和流程中接受和实施这一概念的必要性,以提高员工的参与度和动机水平。独创性/价值据作者所知,这项研究是该研究领域首次使用结构化定量方法来识别和评估影响游戏化实践采用的挑战。
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引用次数: 2
Estimating labor resource requirements in construction projects using machine learning 利用机器学习估算建筑项目中的劳动力资源需求
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-19 DOI: 10.1108/ci-11-2021-0211
Hamidreza Golabchi, A. Hammad
PurposeExisting labor estimation models typically consider only certain construction project types or specific influencing factors. These models are focused on quantifying the total labor hours required, while the utilization rate of the labor during the project is not usually accounted for. This study aims to develop a novel machine learning model to predict the time series of labor resource utilization rate at the work package level.Design/methodology/approachMore than 250 construction work packages collected over a two-year period are used to identify the main contributing factors affecting labor resource requirements. Also, a novel machine learning algorithm – Recurrent Neural Network (RNN) – is adopted to develop a forecasting model that can predict the utilization of labor resources over time.FindingsThis paper presents a robust machine learning approach for predicting labor resources’ utilization rates in construction projects based on the identified contributing factors. The machine learning approach is found to result in a reliable time series forecasting model that uses the RNN algorithm. The proposed model indicates the capability of machine learning algorithms in facilitating the traditional challenges in construction industry.Originality/valueThe findings point to the suitability of state-of-the-art machine learning techniques for developing predictive models to forecast the utilization rate of labor resources in construction projects, as well as for supporting project managers by providing forecasting tool for labor estimations at the work package level before detailed activity schedules have been generated. Accordingly, the proposed approach facilitates resource allocation and enables prioritization of available resources to enhance the overall performance of projects.
目的现有的人工估算模型通常只考虑特定的建设项目类型或特定的影响因素。这些模型专注于量化所需的总劳动时间,而项目期间的劳动利用率通常不被考虑在内。本研究旨在建立一种新的机器学习模型来预测工作包层面的劳动力资源利用率时间序列。设计/方法/方法在两年的时间里收集了250多个建筑工作包,用于确定影响劳动力资源需求的主要因素。同时,采用一种新颖的机器学习算法——递归神经网络(RNN),建立了一种预测模型,可以预测劳动力资源随时间的利用情况。本文提出了一种鲁棒的机器学习方法,用于基于确定的影响因素预测建筑项目中劳动力资源的利用率。发现机器学习方法可以产生使用RNN算法的可靠时间序列预测模型。所提出的模型表明了机器学习算法在促进建筑行业传统挑战方面的能力。独创性/价值研究结果指出了最先进的机器学习技术的适用性,用于开发预测模型来预测建筑项目中劳动力资源的利用率,以及在详细的活动计划生成之前,通过为工作包级别的劳动力估计提供预测工具来支持项目经理。因此,拟议的方法有助于资源分配,并能够确定现有资源的优先次序,以提高项目的总体绩效。
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引用次数: 0
Towards closing the housing gap in the UK: exploration of the influencing factors and the way forward 英国住房差距缩小:影响因素及前进方向探讨
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-11 DOI: 10.1108/ci-06-2022-0148
E. Daniel, O. Oshodi, D. Dabara, Nenpin Dimka
PurposeHousing provides constructed space for human activities. Literature indicates that housing impacts wealth, education attainment and health outcomes, among others. Because of its contributions to society, it is essential to develop and implement strategies that address the housing shortage experienced in most cities across the globe. This study aims to unpack the factors affecting housing production in the UK and chart the way forward.Design/methodology/approachIn addressing this study's aim, an interprivitst approach was adopted and semi-structured interviews were conducted with 18 experienced professionals. Data were collected across the four nations of the UK (England, Wales, Scotland and Northern Ireland).FindingsThe results indicated that the opportunistic behaviour of stakeholders is one of the main factors affecting housing production in the study area. Also, modern construction methods, collaborative practices, government intervention and affordable housing schemes were identified as key strategies for addressing housing production factors.Practical implicationsThis study identified strategies for mitigating housing production issues that provide a focal point to all stakeholders keen on filling the housing shortage gap and improving productivity to channel their resources and effort accordingly.Originality/valueTo the best of the authors’ knowledge, this study is one of the first to empirically analyse the influencing factors on the housing gap in the UK from the perspective of the supply side to provide information that could lead towards closing the said gap.
住宅为人类活动提供了建构空间。文献表明,住房影响财富、受教育程度和健康结果等。由于其对社会的贡献,制定和实施解决全球大多数城市住房短缺问题的战略至关重要。本研究旨在揭示影响英国住房生产的因素,并绘制未来的道路。设计/方法/方法为了达到本研究的目的,采用了访谈法,并对18位经验丰富的专业人士进行了半结构化访谈。数据是在英国的四个国家(英格兰、威尔士、苏格兰和北爱尔兰)收集的。结果表明,利益相关者的机会主义行为是影响研究区住房生产的主要因素之一。此外,现代建筑方法、合作实践、政府干预和经济适用房计划被确定为解决住房生产因素的关键战略。实际意义本研究确定了缓解住房生产问题的策略,为所有热衷于填补住房短缺缺口和提高生产力的利益相关者提供了一个焦点,以相应地引导他们的资源和努力。原创性/价值据作者所知,本研究是第一个从供应方的角度实证分析英国住房差距影响因素的研究之一,以提供可能导致缩小上述差距的信息。
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引用次数: 0
Ending the suitability quantification dilemma: intelligent decision support system for modular integrated construction in a high-density metropolis 终结适宜性量化困境:高密度大都市模块化集成建设的智能决策支持系统
IF 3.3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-01-11 DOI: 10.1108/ci-09-2022-0242
I. Y. Wuni, K. Mazher
PurposeModular integrated construction (MiC) is a modern construction method innovating and reinventing the traditional site-based construction method. As it integrates advanced manufacturing principles and requires offsite production of volumetric building components, several factors and conditions must converge to make the MiC method suitable and efficient for building projects in each context. This paper aims to present a knowledge-based decision support system (KB-DSS) for assessing a project’s suitability for the MiC method.Design/methodology/approachThe KB-DSS uses 21 significant suitability decision-making factors identified through literature review, consultation of experts and questionnaire surveys. It has a knowledge base, a DSS and a user interface. The knowledge base comprises IF-THEN production rules to compute the MiC suitability score with the efficient use of the powerful reasoning and explanation capabilities of DSS.FindingsThe tool receives the inputs of a decision-maker, computes the MiC suitability score for a given project and generates recommendations based on the score. Three real-world projects in Hong Kong are used to demonstrate the applicability of the tool for solving the MiC suitability assessment problem.Originality/valueThis study established the complex and competing significant conditions and factors determining the suitability of the MiC method for construction projects. It developed a unique tool combining the capabilities of expert systems and decision support system to address the complex problem of assessing the suitability of the MiC method for construction projects in a high-density metropolis.
目的模块化综合施工(MiC)是一种对传统现场施工方法进行创新和改造的现代施工方法。由于它集成了先进的制造原理,并且需要在场外生产体积较大的建筑组件,因此必须融合几个因素和条件,使MiC方法适用于各种情况下的建筑项目。本文旨在提出一个基于知识的决策支持系统(KB-DSS),用于评估项目是否适合MiC方法。设计/方法/方法KB-DSS使用了通过文献综述、专家咨询和问卷调查确定的21个重要的适宜性决策因素。它有一个知识库、一个DSS和一个用户界面。该知识库包括IF-THEN生成规则,用于有效利用DSS.Findings强大的推理和解释能力来计算MiC适用性得分。该工具接收决策者的输入,计算给定项目的MiC适合性得分,并根据得分生成推荐。使用香港的三个真实世界项目来证明该工具在解决MiC适用性评估问题方面的适用性。独创性/价值本研究确定了决定MiC方法适用于建设项目的复杂且相互竞争的重要条件和因素。它开发了一种独特的工具,将专家系统和决策支持系统的能力相结合,以解决评估MiC方法适用于高密度大都市建设项目的复杂问题。
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引用次数: 2
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Construction Innovation-England
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