Features of information modeling of cultural heritage objects

Badenko, Vladimir; Fedotov, Alexander; Zotov, Dmitry; Lytkin, Sergey; Lipatova, Alexandra; Volgin, Dmitry

doi:10.1088/1757-899x/890/1/012062

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Digital transformation is a rethinking of the company's work via the integration of the latest digital solutions to increase competitiveness. An important component of this process for industrial enterprises is the use of BIM technology, a key tool for managing building and infrastructure data [35] BIM streamlines planning, communication between project participants, and coordination, reducing the risk of errors.…”

Section: Discussionmentioning

confidence: 99%

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Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

Bolshakov,

Rakova,

Celani

et al. 2023

Applied Sciences

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The current industrial facility market necessitates the digitization of both production and infrastructure to ensure compatibility. This digitization is presently accomplished using Building Information Modeling and digital twin technologies, as well as their integrated usage, which enhances convergence and adds further value to facility assets. However, these technologies primarily focus on the physical components of industrial facilities, neglecting processes, requirements, and functions. To address these gaps, the inclusion of the Model-Based System Engineering approach, a proven benchmark in systems engineering, is essential. This inclusion is the main objective of this research. This article outlines methods and principles for integrating Model-Based System Engineering into the informational modeling of existing industrial facilities to address current market gaps. It offers practical steps for such integration and compares it to other methods, positioning Model-Based System Engineering as a pivotal tool for enhancing the value of industrial facility digital assets. The main findings include the proposal of BIM and MBSE integration, which aims to create a competitive advantage for industrial facilities by improving customer service and operational efficiency, requiring collaboration from various stakeholders.

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Section: Discussionmentioning

confidence: 99%

“…BIM provides the ability to visualize IFI in real time [32,33]. IFI operating scenarios help to optimize processes and increase efficiency [34].…”

Section: Conceptual Model and Principles Of Operation Of The Infrastr...mentioning

confidence: 99%

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

Bolshakov,

Rakova,

Celani

et al. 2023

Applied Sciences

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“…A point cloud is a digital record of objects and scenes [1] represented by a large number of 3D points, usually with different densities. Point clouds are a widespread type of data used in robotics, remote sensing, architecture, the construction industry [2], autonomous vehiclea, perception systems [3], geospatial applications [4], digital heritage [5], and many other areas. Most often, point clouds are obtained using active sensors based on LiDAR technologies mounted on a static or mobile platform.…”

Section: Introductionmentioning

confidence: 99%

Saint Petersburg 3D: Creating a Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications

Lytkin,

Badenko,

Fedotov

et al. 2023

Remote Sensing

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At the present time, many publicly available point cloud datasets exist, which are mainly focused on autonomous driving. The objective of this study is to develop a new large-scale mobile 3D LiDAR point cloud dataset for outdoor scene semantic segmentation tasks, which has a classification scheme suitable for geospatial applications. Our dataset (Saint Petersburg 3D) contains both real-world (34 million points) and synthetic (34 million points) subsets that were acquired using real and virtual sensors with the same characteristics. An original classification scheme is proposed that contains a set of 10 universal object categories into which any scene represented by dense outdoor mobile LiDAR point clouds can be divided. The evaluation procedure for semantic segmentation of point clouds for geospatial applications is described. An experiment with the Kernel Point Fully Convolution Neural Network model trained on the proposed dataset was carried out. We obtained an overall 92.56% mIoU, which demonstrates the high efficiency of using deep learning models for point cloud semantic segmentation for geospatial applications in accordance with the proposed classification scheme.

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(3Ts) Green conservation framework: A hierarchical-based sustainability approach

Shehata

Megahed

Shahda

et al. 2022

Building and Environment

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Features of information modeling of cultural heritage objects

Cited by 4 publications

References 22 publications

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

Saint Petersburg 3D: Creating a Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications

(3Ts) Green conservation framework: A hierarchical-based sustainability approach

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