AIM! Algorithmic Information Modeling: New Strategies for a Fully Integrated Approach in the Field of Cultural Heritage

Turco, Massimiliano Lo; Calvano, Michele; Giovannini, Elisabetta Caterina; Zich, Ursula

doi:10.1007/978-3-030-49278-6_9

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…As previously mentioned, the gap between the two involved information systems has been bridged by means of two ad hoc developed VPL scripts first tested in the present case study. Visual Programming Language (VPL) provides a user-friendly interface for algorithm and parametric modelling based on nodes connected via string with an Open-Source approach that additionally allows for monitoring the script execution during the debugging process [22].…”

Section: B Vpl Coding To Connect the Hbim And The Em Information Systemsmentioning

confidence: 99%

Extended BIM: a proposed workflow for the integration of the HBIM and EM approaches

Galeano,

Sanseverino,

Berto

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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The present research proposes the beta version of a workflow which aims at linking HBIM and Extended Matrix using Open-Source coding and visualisation tools. The developed workflow was tested on a significant case study, the Roman Theatre of Terracina, whose excavation works started in 2019 and were initially documented through an integrated Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV) digital survey. In 2021 and 2022 the excavation data were updated, also using Simultaneous Localization and Mapping (SLAM) technology, thus the proposed approach focuses on the systematisation of the analysis and processing of the data regarding the consecutively surveyed excavation phases.

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Section: B Vpl Coding To Connect the Hbim And The Em Information Systemsmentioning

confidence: 99%

Extended BIM: a proposed workflow for the integration of the HBIM and EM approaches

Galeano,

Sanseverino,

Berto

et al. 2023

Proceedings of the 2022 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage

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“…Recently, interoperability between VPL and other digital products/tools is often used for monitoring architectures. An example is the VPL-CAD or VPL-BIM interoperability to enrich the potential of the digital twin thanks to the AIM_Algorithmic Information Modeling approach aimed at building a model to merge the object-oriented BIM hierarchical structure and the flexibility of VPL (Lo Turco et al, 2022, Lo Turco et al, 2021. This work proposes to use the potentialities of VPL algorithmic tools for the graphical comparison between geo-localised finite numerical datasets characterising graphic units of images (RGB codes -pixels) acquired over the time for preventive monitoring and thematic mapping applied to Cultural Heritage.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

VPL for Cultural Heritage Monitoring: Sampling and Comparison of Photographic Images

Scandurra

Lanzara

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In the last decades, ICT strongly support cultural heritage conservation, management, valorisation and communication activities. Digital systems record series of data in real time, facilitating the automation of comparison, control and preventive evaluation activities aimed at the conscious management of the phenomenal reality based on the interrelationship between different information. According to these premises, this contribution presents first results of a research activity aimed at testing VPL parametric tools aimed at mapping environmental data and phenomena involving architectural surfaces and explicitating the comparison between data by graphical alert system. VPL tools are designed for a thematic image colour sampling. The main goal is monitoring the state of conservation of decorated architectural surfaces or artworks placed in unfavourable environmental conditions to facilitate preventive and intervention activities. The case study chosen to test this approach and digital tools is the fresco preserved in the Filangieri Hall of the State Archives in Naples.

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“…The images collected of the artefact are studied individually: efflorescence, exfoliation, biological patina, cracks, black crusts, detachments, and stains due to rising damp; they are all identifiable "on sight". This information can be also digitised using BIM software (Bruno and Roncella, 2019;Malinverni et al, 2019) where the digitisation process consists in the creation of objects that are computerised in the H-BIM environment and that can be created by parametric modelling (Brumana et al, 2017;Chiabrando et al, 2017) or using algorithms (Giovannini and Tomalini, 2021;Lo Turco et al, 2021). Some studies focus on the development of workflows and methodologies that can create H-BIM models from point clouds (Fryskowska and Stachelek, 2018) or by using point clouds as reference data (Grilli and Remondino, 2019;Lo Turco and Santagati, 2016;Quattrini et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Decay Classification Using Artificial Intelligence

Giovannini

Zich

Pristeri

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The paper presents DECAI - DEcay Classification using Artificial Intelligence, a novel study using machine learning algorithms to identify materials, degradations or surface gaps of an architectural artefact in a semi-automatic way. A customised software has been developed to allow the operator to choose which categories of materials to classify, and selecting sample data from an orthophoto of the artefact to train the machine learning algorithms. Thanks to Visual Programming Language algorithms, the classification results are directly imported into the H-BIM environment and used to enrich the H-BIM model of the artefact. To date, the developed tool is dedicated to research use only; future developments will improve the graphical interface to make this tool accessible to a wider public.

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AIM! Algorithmic Information Modeling: New Strategies for a Fully Integrated Approach in the Field of Cultural Heritage

Cited by 5 publications

References 10 publications

Extended BIM: a proposed workflow for the integration of the HBIM and EM approaches

Extended BIM: a proposed workflow for the integration of the HBIM and EM approaches

VPL for Cultural Heritage Monitoring: Sampling and Comparison of Photographic Images

Decay Classification Using Artificial Intelligence

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