67 research outputs found

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

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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

    Multicriteria analysis and information modelling in management of built environment

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    Building Information Modelling (BIM) proves to be the most urgent trend in construction for the last years. Still the major part of this issue is dedicated only to the first stages of building lifecycle: design and construction. This article goal is to provide a critical overview on recent achievements in BIM application for the different steps of building lifecycle as well as ongoing digitalization of facility management. The paper explores the importance of applying mathematical modelling and multicriteria analysis such as Analytical Hierarchy Process (AHP) and fuzzy logic in management of built environment and provides recent examples of such applications consequently exploring its potential. Method of analysis in this article is horizontal analysis of publication activity in related research topic. Different levels of digital built environment are considered: from building (BIM) to the whole city (GIS). The result of the research reveal that emergence of scan-to-BIM technology brings benefits not only for the buildings which are designed with BIM models (current situation in the market) but for the buildings which are already built (as-built BIM)

    ΠŸΡ€ΠΈΠ±Π°ΠΉΠΊΠ°Π»ΡŒΡΠΊΠΈΠΉ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΏΠ°Ρ€ΠΊ. ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΠΈ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ‚ΡƒΡ€ΠΈΠ·ΠΌΠ°

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    The article reveals the historical factor that influenced the development of tourism infrastructure in Russian national parks. The borders of the recreational influence zone on the territory of the Pribaikalsky national park were defined with the use of landscapegeographical approach based on zoning, while taking into account the wholeness of tourism-recreational ecosystems and urboecosystems.On the territory under study there are seven small recreational areas: Olkhon Island; the Circum-Baikal Railway; Listvyanka settlement and the Baikal highway; Maloe More Strait; Bolshoe Goloustnoe settlement and its vicinity; Peschanaya Bay and its vicinity; Bolshie Koty settlement and its vicinity. Using statistical and graphoanalytical methods, we have analyzed the condition of the current tourism infrastructure in the Pribaikalsky national park. On the basis of the obtained data we have revealed the general principles of planning of the seven spontaneous tourism areas: the principles of combination, dispersion, discrepancy and opposition.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ выявлСн историчСский Ρ„Π°ΠΊΡ‚ΠΎΡ€, повлиявший Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ туристичСской инфраструктуры отСчСствСнных ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ°Ρ€ΠΊΠΎΠ². Π“Ρ€Π°Π½ΠΈΡ†Ρ‹ Π·ΠΎΠ½Ρ‹ Ρ€Π΅ΠΊΡ€Π΅Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ влияния Π½Π° Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ ΠŸΡ€ΠΈΠ±Π°ΠΉΠΊΠ°Π»ΡŒΡΠΊΠΎΠ³ΠΎ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠ°Ρ€ΠΊΠ°, Π±Ρ‹Π»ΠΈ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ Π½Π° основС Π»Π°Π½Π΄ΡˆΠ°Ρ„Ρ‚Π½ΠΎ-гСографичСского ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π°, основанного Π½Π° Ρ€Π°ΠΉΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ, с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ цСлостности туристско-Ρ€Π΅ΠΊΡ€Π΅Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… экосистСм ΠΈ урбоэкосистСм. УстановлСно, Ρ‡Ρ‚ΠΎ Π½Π° исслСдуСмой Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ располагаСтся сСмь ΠΌΠ°Π»Ρ‹Ρ… Ρ€Π΅ΠΊΡ€Π΅Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Π°Ρ€Π΅Π°Π»ΠΎΠ²: остров ΠžΠ»ΡŒΡ…ΠΎΠ½; тСрритория ΠšΡ€ΡƒΠ³ΠΎΠ±Π°ΠΉΠΊΠ°Π»ΡŒΡΠΊΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Π½ΠΎΠΉ Π΄ΠΎΡ€ΠΎΠ³ΠΈ (ΠšΠ‘Π–Π”); посСлок Листвянка ΠΈ Π‘Π°ΠΉΠΊΠ°Π»ΡŒΡΠΊΠΈΠΉ Ρ‚Ρ€Π°ΠΊΡ‚; тСрритория ΠΏΡ€ΠΎΠ»ΠΈΠ²Π° МалоС ΠœΠΎΡ€Π΅; посСлок Π‘ΠΎΠ»ΡŒΡˆΠΎΠ΅ ГолоустноС ΠΈ окрСстности; Π±ΡƒΡ…Ρ‚Π° ΠŸΠ΅ΡΡ‡Π°Π½Π°Ρ ΠΈ окрСстности; посСлок Π‘ΠΎΠ»ΡŒΡˆΠΈΠ΅ ΠšΠΎΡ‚Ρ‹ ΠΈ окрСстности. Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ статистичСских ΠΈ графоаналитичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΎ состояниС соврСмСнной туристичСской инфраструктуры ΠŸΡ€ΠΈΠ±Π°ΠΉΠΊΠ°Π»ΡŒΡΠΊΠΎΠ³ΠΎ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΠ°Ρ€ΠΊΠ°. На основС ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… раскрыты ΠΎΠ±Ρ‰ΠΈΠ΅ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ‹ ΠΏΠ»Π°Π½ΠΈΡ€ΠΎΠ²ΠΎΡ‡Π½ΠΎΠΉ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ сСми стихийно ΡΠ»ΠΎΠΆΠΈΠ²ΡˆΠΈΡ…ΡΡ туристичСских Π°Ρ€Π΅Π°Π»ΠΎΠ², ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ‹: совмСщСния, разрознСнности, нСсоотвСтствия ΠΈ противопоставлСния

    Integration of territorial analysis methods in site selection on the example of Saint Petersburg

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    Capital construction of residential buildings for the purpose of subsequent rent is gaining more and more widespread in the western countries. In Russia, in particular in St. Petersburg, this form of business is just emerging. Due to relevance of this industry, the question of selection the most suitable site for construction arises. The article proposes the solution site-selection case basing on existing methods of territorial analysis, as well as provides examples of application of the obtained databases in the conditions of a narrowly formulated problem. The main tools in the analysis are the calculations of the shares of employment, location quotient and the Hirschman-Herfindahl Index. The mechanisms of solving three types of problems are given, depending on the nature of the input information due to the study of the correspondence between the properties of the object under construction and the urban territories. The theory is formulated on the example of a large city Saint Petersburg and is more suitable for large agglomerations with a population of more than a million people
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