| 1. |
- Ekholm, Anders, et al.
(författare)
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A concept of space for building classification, product modelling, and design
- 2000
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Ingår i: Automation in Construction. - 0926-5805. ; 9, s. 315-328
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Tidskriftsartikel (refereegranskat)abstract
- Information about a building's spaces is of interest in every stage of the construction and facility management processes. An organisation1 or enterprise is located in and uses the building's spaces, and many of the building's spatial properties are determined on the basis of the user organisation's requirements. The definition of the concept “space” as applied in information systems for building classification and building product modelling today is unclear. A fundamental problem is to reconcile a material and construction method viewpoint with a space-centred viewpoint. In order to enable communication among actors and computer systems in the construction process, the concepts used in model development and the corresponding terms have to be formally defined and standardised. In this article, we analyse the concept of space and suggest a comprehensive definition for the construction context. The identification of a space in a building is based on a spatial view. We introduce the concept of aspectual unit and show how this concept can be used to integrate different aspect views in a conceptual schema. Additionally, we define the user organisation as a thing, which is separate from the building and has spatial properties of its own, so-called “activity spaces”. Finally, we show how space may be represented in a comprehensive conceptual schema.
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| 2. |
- Belloni, Valeria, et al.
(författare)
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Crack Monitoring from Motion (CMfM) : Crack detection and measurement using cameras with non-fixed positions
- 2023
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805 .- 1872-7891. ; 156
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Tidskriftsartikel (refereegranskat)abstract
- The assessment of cracks in civil infrastructures commonly relies on visual inspections carried out at night, resulting in limited inspection time and an increased risk of crack oversight. The Digital Image Correlation (DIC) technique, employed in structural monitoring, requires stationary cameras for image collection, which proves challenging for long-term monitoring. This paper describes the Crack Monitoring from Motion (CMfM) methodology for automatically detecting and measuring cracks using non-fixed cameras, combining Convolutional Neural Networks and photogrammetry. Through evaluation using images obtained from laboratory tests on concrete beams and subsequent comparison with DIC and a pointwise sensor, CMfM demonstrates accurate crack width computation within a few hundredths of a millimetre when compared to the sensor. This method exhibits potential for effectively monitoring temporal crack evolution using non-fixed cameras.
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| 3. |
- Bhatt, Mehul, Professor, 1980-, et al.
(författare)
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Architecture, computing, and design assistance
- 2013
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Ingår i: Automation in Construction. - : Elsevier. - 0926-5805 .- 1872-7891. ; 32, s. 161-164
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Tidskriftsartikel (refereegranskat)abstract
- Design is one of the most complex of human endeavors requiring an enormous number of often conflicting criteria to be contemplated when identifying optimal solutions. Design is constrained by guidelines, codes, and standards applicable to the specific cultural and locational context that the design will be sited. Furthermore, a design has to be created within a collaborative team consisting of many professionals focused on specific subsystems and expert preferences that provide unique functionality to the overall design. The increasing use and capability of software tools involved in the creation and processing of such spatial information has also led to elevated levels of complexity that spurred a need to structure, query and reason about multiple spatial representations of buildings and their components in new ways.
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| 4. |
- Borngrund, Carl, 1992-, et al.
(författare)
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Deep-learning-based vision for earth-moving automation
- 2022
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Ingår i: Automation in Construction. - : Elsevier. - 0926-5805 .- 1872-7891. ; 133
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Forskningsöversikt (refereegranskat)abstract
- Earth-moving machines are heavy-duty vehicles designed for construction operations involving earthworks. The tasks performed by such machines typically involve navigation and interaction with materials such as soil, gravel, and blasted rock. Skilled operators use a combination of visual, sound, tactile and possibly motion feedback to perform tasks efficiently. We survey the literature in this research area and analyse the relative importance of different sensor system modalities focusing on deep-learning-based vision and automation for the short-cycle loading task. This is a common and repetitive task that is attractive to automate. The analysis indicates that computer vision, in combination with onboard sensors, is more critical than coordinate-based positioning. Furthermore, we find that data-driven approaches, in general, have high potential in terms of productivity, adaptability, versatility and wear and tear with respect to automation system solutions. The main knowledge gaps identified relate to loading non-fine heterogeneous material and navigation during loading and unloading.
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| 5. |
- Bosch-Sijtsema, Petra, 1971, et al.
(författare)
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Professional development of the BIM actor role
- 2019
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805. ; 97, s. 44-51
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Tidskriftsartikel (refereegranskat)abstract
- The implementation of building information modeling (BIM) has resulted in the development of new roles for BIM actors, but few empirical studies have been conducted on how these roles develop professionally. The present study investigates the professional development of the BIM actor and how this role is perceived by BIM actors and non-BIM actors in Sweden. The study uses a questionnaire (N=342) in eight companies, comprised of contractors, architects, and clients. The BIM and non-BIM actors were compared on similarities and significant differences in their characteristics, tasks, experience, education, and barriers to the role’s development. We found that BIM actors perceive their role, characteristics, tasks and education as coordinating and driving change. However, non-BIM actors perceive the BIM actor role as focusing more on technical skills than on softer skills. The perceptions of the two groups indicate possible tensions toward the future professional development of the BIM actor role.
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| 6. |
- Brozovsky, Johannes, et al.
(författare)
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Digital technologies in architecture, engineering, and construction
- 2024
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805 .- 1872-7891. ; 158
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Forskningsöversikt (refereegranskat)abstract
- Digitalization in the architecture, engineering, and construction (AEC) sector is slow due to significant challenges in technology adoption. The study aims to promote technology adoption by advancing the understanding of digital technologies in the AEC sector. This article presents the findings from a quantitative scoping review, encompassing 3950 technology-related abstracts retrieved from the Scopus database, providing a preliminary assessment of literature size, geographic innovation hotspots, research gaps, and key concepts in the AEC field. The results show that Building Information Modelling (1852 studies) dominates the literature, while topics like 3D Printing (311) and Internet of Things (227) are gaining traction. China (687 publications) and the United States (566) produce most research articles. Despite the increasing interest in emerging technologies, their implementation often necessitates acquiring specific skill sets. Academia needs to put a stronger focus on these technologies in education and tighter collaboration with the industry is needed.
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| 7. |
- Bröchner, Jan, 1948, et al.
(författare)
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Changes and change management in construction and IT projects
- 2011
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805. ; 20:7, s. 767-775
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Tidskriftsartikel (refereegranskat)abstract
- Modelling for change management in construction might benefit from experiences from other industries. This study compares reasons for change as well as change practices in interorganizational relationships in construction and information technology. Sixteen contractual relationships have been studied through a questionnaire and interview survey conducted among both clients and providers. Project-type relations are contrasted with more continuous service support contracts. More than their providers, clients tend to ascribe high change frequencies to an increase in technical understanding during projects. Early provider participation is associated with lower change frequencies, while the strength of incentives is less influential. The ease of transforming changes into new projects varies between technologies. Irreversibility is important, as well as relations between pre-investigations and the successive revealing of initial conditions, together with the life-cycle of formal and informal communication. Findings can be used for transfer of agile practices. © 2011 Elsevier B.V. All rights reserved.
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| 8. |
- Cheng, J. C. P., et al.
(författare)
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A service oriented framework for construction supply chain integration
- 2010
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805. ; 19:2, s. 245-260
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Tidskriftsartikel (refereegranskat)abstract
- The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due to the high fragmentation of the industry. Information, applications, and services are loosely distributed among participants with a wide range of hardware and software capabilities. In addition, participants are often unwilling to share information because the temporary nature of construction projects often impedes the establishment of trust. A secure, modular, and flexible system that can aggregate scattered information and share that information across applications is, therefore, highly desirable. We have prototyped a service oriented, web-based system that can provide both these capabilities. Called the SC Collaborator, this system facilitates the flexible coordination of construction supply chains by leveraging web services, web portal, and open source technologies. These technologies enable the SC Collaborator system to provide an economical and customizable tool for integrating supply chain partners with a wide range of computing capabilities. This paper describes the overall architecture and the features of the system. Two example scenarios are included to demonstrate the potential of SC Collaborator in integrating and managing information from project partners. The first scenario is an e-Procurement example whereas the second is a rescheduling scenario based on the data from a completed project in Sweden. (C) 2009 Elsevier B.V. All rights reserved.
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| 9. |
- Dadhich, Siddharth, 1987-, et al.
(författare)
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Field test of neural-network based automatic bucket-filling algorithm for wheel-loaders
- 2019
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Ingår i: Automation in Construction. - : Elsevier. - 0926-5805 .- 1872-7891. ; 97, s. 1-12
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Tidskriftsartikel (refereegranskat)abstract
- Automation of earth-moving industries (construction, mining and quarry) require automatic bucket-filling algorithms for efficient operation of front-end loaders. Autonomous bucket-filling is an open problem since three decades due to difficulties in developing useful earth models (soil, gravel and rock) for automatic control. Operators make use of vision, sound and vestibular feedback to perform the bucket-filling operation with high productivity and fuel efficiency. In this paper, field experiments with a small time-delayed neural network (TDNN) implemented in the bucket control-loop of a Volvo L180H front-end loader filling medium coarse gravel are presented. The total delay time parameter of the TDNN is found to be an important hyperparameter due to the variable delay present in the hydraulics of the wheel-loader. The TDNN network successfully performs the bucket-filling operation after an initial period (100 examples) of imitation learning from an expert operator. The demonstrated solution show only 26% longer bucket-filling time, an improvement over manual tele-operation performance.
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| 10. |
- Dadhich, Siddharth, et al.
(författare)
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Key challenges in automation of earth-moving machines
- 2016
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805 .- 1872-7891. ; 68, s. 212-222
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Tidskriftsartikel (refereegranskat)abstract
- A wheel loader is an earth-moving machine used in construction sites, gravel pits and mining to move blasted rock, soil and gravel. In the presence of a nearby dump truck, the wheel loader is said to be operating in a short loading cycle. This paper concerns the moving of material (soil, gravel and fragmented rock) by a wheel loader in a short loading cycle with more emphasis on the loading step. Due to the complexity of bucket-environment interactions, even three decades of research efforts towards automation of the bucket loading operation have not yet resulted in any fully autonomous system. This paper highlights the key challenges in automation and tele-remote operation of earth-moving machines and provides a survey of different areas of research within the scope of the earth-moving operation. The survey of publications presented in this paper is conducted with an aim to highlight the previous and ongoing research work in this field with an effort to strike a balance between recent and older publications. Another goal of the survey is to identify the research areas in which knowledge essential to automate the earth moving process is lagging behind. The paper concludes by identifying the knowledge gaps to give direction to future research in this field.
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