Automatic layer classification method-based elevation recognition in architectural drawings for reconstruction of 3D BIM models

Yin, Mengtian; Tang, Llewellyn; Zhou, Tongyu; Wen, Ya; Xu, Ruohan; Deng, Wu

doi:10.1016/j.autcon.2020.103082

Cited by 25 publications

(6 citation statements)

References 33 publications

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“…As one of the dynamic change processes, digitalization brings potential benefits to the construction industry (Zheng et al, 2021). Potential benefits also create time and cost advantages (Yin et al, 2020). The use of digital tools in construction activities, in addition to improving the sustainability results of the building, also positively affects the performance of the construction (Nikmehr et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

Digitalization of Building Site Management in the Construction Industry

Takva,

Cudzik,

İlerisoy

2023

IJSCET

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With Industry 4.0, a digital transformation has started in the construction industry. However, 4.0 technologies have difficulties in the integrationof digital systems due to the diversity and complexity of the processes in the construction industry. Multidisciplinary work in architectural projects and the need for high productivity require digital renovation planning in the construction industry. Theapplication of the technologies that emerged because of digital transformation on the building site has revealed the concept of the smart building site. Within the framework of many current issues such as the smart building site, the digital transformation on the building sites needs to be explored and defined. In this study, a bibliometric analysis was carried out on the publications in this field by evaluating the transformation potentials of the digitalized building sites of the future. Academic publications that will raise awareness in the improvement of building site management and the development of digital systems have been determined. Conceptual integrity was created by seeing the research gap for digitalization in building site management and it was aimed to guide researchers in future studies. As a result, based on the research area analysis and the diversity of academic publications, it was seen that the studies in the field of architecture were insufficient compared to the engineering fields.

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Section: Resultsmentioning

confidence: 99%

Digitalization of Building Site Management in the Construction Industry

Takva,

Cudzik,

İlerisoy

2023

IJSCET

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“…BIM models contain geometrical, aesthetic, and valuable semantic data, which provides a detailed understanding of the built environment, from structural composition to functional properties. While recent studies highlight a shift towards BIM as a complement to traditional Computer-Aided Design (CAD) formats [167][168][169][170] the transition towards fully integrated intelligent BIM models is not immediate but is seen as an evolutionary process where digitally captured 3D data are enhancing traditional conceptual design [171][172][173][174][175]. While 2D and 3D aspects are easy to implement in the traditional CAD designs, nD modeling simply extends the dimension of the BIM by incorporating more aspects of the design considerations and relating to all phases of the infrastructure lifecycle such as scheduling (4D), cost analysis (5D), environmental sustainability (6D), and maintenance operations (7D).…”

Section: Multidimensional Virtual Design Models (Nd Modeling)mentioning

confidence: 99%

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

Taheri,

Sobanjo

2024

Infrastructures

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The recent rise in the applications of advanced technologies in the sustainable design and construction of transportation infrastructure demands an appropriate medium for their integration and utilization. The relatively new concept of Civil Integrated Management (CIM) is such a medium; it enhances the development of digital twins for infrastructure and also embodies various practices and tools, including the collection, organization, and data-management techniques of digital data for transportation infrastructure projects. This paper presents a comprehensive analysis of advanced CIM tools and technologies and categorizes its findings into the following research topics: application of advanced surveying methods (Advanced Surveying); geospatial analysis tools for project planning (Geospatial Analysis); multidimensional virtual design models (nD Modeling); Integrated Geospatial and Building Information Modeling (GeoBIM); and transportation infrastructure maintenance and rehabilitation planning (Asset Management). Despite challenges such as modeling complexity, technology investment, and data security, the integration of GIS, BIM, and artificial intelligence within asset-management systems hold the potential to improve infrastructure’s structural integrity and long-term performance through automated monitoring, analysis, and predictive maintenance during its lifetime.

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“…A comprehensive comparison was provided by [27]. The elevation recognition is sometimes a difficult task, but specific algorithms can help on this point [28].…”

Section: Object Recognitionmentioning

confidence: 99%

“…A comprehensive comparison was provided by [27]. The elevation recognition is sometimes a difficult task, but specific algorithms can help on this point [28]. The recognition process does not exclude that elements could already be catalogued a priori when they are put in place or relying on visual inspections [29].…”

Section: Object Recognitionmentioning

confidence: 99%

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

2023

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Artificial Intelligence (AI) is a trending topic in many research areas. In recent years, even building, civil, and structural engineering have also started to face with several new techniques and technologies belonging to this field, such as smart algorithms, big data analysis, deep learning practices, etc. This perspective paper collects the last developments on the use of AI in building engineering, highlighting what the authors consider the most stimulating scientific advancements of recent years, with a specific interest in the acquisition and processing of photographic surveys. Specifically, the authors want to focus both on the applications of artificial intelligence in the field of building engineering, as well as on the evolution of recently widespread technological equipment and tools, emphasizing their mutual integration. Therefore, seven macro-categories have been identified where these issues are addressed: photomodeling; thermal imaging; object recognition; inspections assisted by UAVs; FEM and BIM implementation; structural monitoring; and damage identification. For each category, the main new innovations and the leading research perspectives are highlighted. The article closes with a brief discussion of the primary results and a viewpoint for future lines of research.

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Automatic layer classification method-based elevation recognition in architectural drawings for reconstruction of 3D BIM models

Cited by 25 publications

References 33 publications

Digitalization of Building Site Management in the Construction Industry

Digitalization of Building Site Management in the Construction Industry

Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

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