BIM supported surveying and imaging combination for heritage conservation

Producción CientíficaAs the basis for analysis and management of heritage assets, 3D laser scanning and photogrammetric 3D reconstruction have been probed as adequate techniques for point cloud data acquisition. The European Directive 2014/24/EU imposes BIM Level 2 for government centrally procured projects as a collaborative process of producing federated discipline-specific models. Although BIM software resources are intensified and increasingly growing, distinct specifications for heritage (H-BIM) are essential to driving particular processes and tools to efficiency shifting from point clouds to meaningful information ready to be exchanged using non-proprietary formats, such as Industry Foundation Classes (IFC). This paper details a procedure for processing enriched 3D point clouds into the REVIT software package due to its worldwide popularity and how closely it integrates with the BIM concept. The procedure will be additionally supported by a tailored plug-in to make high-quality 3D digital survey datasets usable together with 2D imaging, enhancing the capability to depict contextualized important graphical data to properly planning conservation actions. As a practical example, a 2D/3D enhanced combination is worked to accurately include into a BIM project, the length, orientation, and width of a big crack on the walls of the Castle of Torrelobatón (Spain) as a representative heritage building.Unión Europea H2020 - (grant 665220)Ministerio de Ciencia, Innovación y Universidades - (Project RTI2018-096652-B-I00)Junta de Castilla y León y Fondo Europeo de Desarrollo Regional (FEDER) - (Project VA233P18

Towards the automatic 3D parametrization of non-planar surfaces from point clouds in HBIM applications

Producción Científica3D laser scanning and photogrammetric 3D reconstruction generate point clouds from which the geometry of BIM models can be created. However, a few methods do this automatically for concrete architectural elements, but in no case for the entirety of heritage assets. A novel procedure for the automatic recognition and parametrization of non-planar surfaces of heritage immovable assets is presented using point clouds as raw input data. The methodology is able to detect the most relevant architectural features in a point cloud and their interdependences through the analysis of the intersections of related elements. The non-planar surfaces detected, mainly cylinders, are studied in relation to the neighbouring planar surfaces present in the cloud so that the boundaries of both the planar and the non-planar surfaces are accurately defined. The procedure is applied to the emblematic Castle of Torrelobatón, located in Valladolid (Spain) to allow the cataloguing of required elements, as illustrative example of the European defensive architecture from the Middle age to the Renaissance period. Results and conclusions are reported to evaluate the performance of this approach

Handling huge and complex 3D geometries with Semantic Web technology

In INCEPTION, a European collaborative research project, a Heritage BIM (H-BIM) ontology is being developed to store all relevant semantic data concerning cultural heritage objects. Similar to other projects dealing with storing semantics, one of the major questions is whether, and if yes, how should geometry be stored using semantic web technology. The INCEPTION cross-disciplinary research consortium chose to allow the storage of all relevant geometric information using semantic web technology. The alternative is to store geometry in a different way, or storing only the aggregated parts of geometry, for example through bounding box representations

Evaluación del aprendizaje organizativo en los centros tecnológicos y gestión del conocimiento sectorial en Castilla y León

Entre las infraestructuras de apoyo a la I+D+i destacan los centros tecnológicos, destinados a transformar el saber generado por el sistema científico en valor para el sistema económico. Su labor se fundamenta en el aprendizaje organizativo como base de la adecuada gestión del conocimiento que es necesaria para cumplir con ese cometido. Partiendo del enfoque mixto del cambio y del conocimiento en el aprendizaje organizativo, se aplica contextualmente la teoría general de sistemas, así como los conceptos de entropía de Prigogine y de información de Brillouin, para establecer una metodología que permita comprobar si prospera dicho aprendizaje en los centros tecnológicos. Así podrá verificarse si sus actividades revierten de forma valiosa en los diferentes productos y procesos empresariales. Paralelamente, se apuntan las fases para proceder a la implantación de un sistema de gestión del conocimiento en las PYMEs de los tres sectores clave de la economía de Castilla y León.Departamento de Economía Aplicad

La base de conocimiento en Castilla y León: especificidades locales y sectoriales

Desde la última década del siglo XX, el término "Conocimiento" es sinónimo de generación de valor económico. Este artículo identifica los agentes que crean, integran y difunden el Conocimiento en Castilla y León, analiza las especificidades locales y sectoriales que se detectan en la base de conocimiento de la referida Comunidad Autónoma, así como los sectores estratégicos que se observan en ella. Por último, propone algunas recomendaciones para impulsar y/o potenciar su desarrollo

EuroMed 2016: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. Part I

Producción CientíficaThe digital documentation of cultural heritage (CH) often requires interpretation and classification of a huge amount of images. The INCEPTION European project focuses on the development of tools and methodologies for obtaining 3D models of cultural heritage assets, enriched by semantic information and integration of both parts on a new H-BIM (Heritage - Building Information Modeling) platform. In this sense, the availability of automated techniques that allow the interpretation of photos and the search using semantic terms would greatly facilitate the work to develop the project. In this article the use of deep learning techniques, specifically the convolutional neural networks (CNNs) for analyzing images of cultural heritage is assessed. It is considered that the application of these techniques can make a significant contribution to the objectives sought in the INCEPTION project and, more generally, the digital documentation of cultural heritage.Junta de Castilla y León (Programa de apoyo a proyectos de investigación-Ref. VA036U14)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA013A12-2)Ministerio de Economía, Industria y Competitividad (Grant DPI2014-56500-R

An IFC Interoperability Framework for Self-Inspection Process in Buildings

Self-inspection of buildings is the process of controlling the quality of construction work in order to ensure that the specifications are implemented according to the design. Under current practices, self-inspection is totally dependent on the operator’s skills, being a process that can be time-consuming and sometimes difficult to achieve. The Intuitive Self-Inspection Techniques using Augmented Reality (INSITER; for construction, refurbishment and maintenance of energy-efficient buildings made of prefabricated components) project aims to develop a software tool to support construction workers in self-inspection processes, with the overall objective of reducing major errors and extra costs. Nevertheless, one of the challenges is the lack of interoperability between the various equipment used to carry out self-inspection. Devices and current tools deployed on-site do not speak the same language, which leads to a lack of communication. Therefore, this paper presents a framework under which the equipment would be able to send information in a common format. For this purpose, the Industry Foundation Classes (IFC) de-facto standard has been established as a viable data model to represent all the information related to the building project. Along these lines, Building Information Modeling (BIM) information and IFC-compliant databases have been designed for the representation of data coming from Computer-Aided Design (CAD) modeling, laser scanning, thermography and sensor networks. Besides the IFC-data repositories, the framework is a multi-layer architecture with the goal of ensuring interoperability and promoting the stakeholders’ objectives for self-inspection during the entire construction process

INCEPTION: Web cutting-edge technologies meet cultural heritage

INCEPTION project is a research and innovation project funded by the European Commission to realize “innovation in 3D modelling of cultural heritage through an inclusive approach for time-dynamic 3D reconstruction of artefacts, built and social environments. It enriches the European identity through understanding of how European cultural heritage continuously evolves over long periods of time”. In this paper are described some state of the art technologies adopted in developing the cloud web platform that is the core of the whole project. After a detailed comparison of the features of the INCEPTION platform, compared with 27 other existing web sites, some of the most interesting solutions, based on the match between BIM (Building Information Modeling), Cloud and Semantic Web approach, are described. This EU project is a clear example of cutting-edge technologies applied to the European Cultural Heritage

Cultural Heritage Sites Holistic Documentation Through Semantic Web Technologies

One of the goals of the INCEPTION project, funded by the EC within the Programme H2020, is to explore and enhance H-BIM knowledge management in the sector of Cultural Heritage (CH), taking into account the richness of the interdisciplinary documentation associated with the different significances of the assets. Architectural and historical documents, structural analysis, building material characterisation and other sourced documentation for a H-BIM virtual model of a built space can be of different formats, scopes and significances but their organisation, sharing and findability are crucial for the holistic e-documentation that can be enriched from interdisciplinary users and reused for different purposes. Conceptual frameworks of a document management system interoperable with H-BIM should guarantee an easy way to organise digital documents from variable sources and associate them to specific parts of the buildings. This to avoid overwhelming information and to allow the user to explore the virtual model with the best granularity. Within the INCEPTION project, a layered and interoperable H-BIM ontology has been developed to gather and store new information from the original BIM model and CH information, as well as to associate the correct architectural element to each structural or decorative part of the building. Then the H-BIM ontology has been extended implementing a specific addition to create an association between external documentation and the whole 3D model or individual elements specified in the H-BIM graph. This paper explains how the Semantic Web technologies allow retrieving and filtering the holistic documentation by the user needs and using it in the 3D model exploration and analysis, improving the user experience and the findability of different knowledge sources