Articles

• 1

  Automated Quality Control of Science-Intensive Products: Аnalysis of Аlgorithms

  Authors: E.V. Ryzhkova, Siberian State University of Geosystems and Technologies (SSUGT), alena.tarasova.2014@mail.ru 

  A.V. Shaburova, SSUGT, Assoc. Prof. Dr. (Ec.), aelita_shaburova@mail.ru
  The article presents a comparative analysis of traditional image processing algorithms and a neural network approach based on a convolutional neural network for solving the problem of automated quality control of science-intensive products. The limitations of image processing algorithms (Sobel, Canny) related to sensitivity to shooting conditions and the need for manual parametrization are considered, which hinder their application for products with complex geometric shapes. The development of deep learning methods, particularly convolutional neural networks, creates the preconditions for improving the accuracy and reproducibility of control results, which determines the relevance of a comparative analysis of the effectiveness of the considered approaches.

  DOI: 10.24412/1993-8780-2026-5-04-08

  
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• 2

  Intelligent Predictive Models as the Basis for Predictive Analytics of Equipment Reliability

  Authors: I.D. Sidel’nikov, Bauman Moscow State Technical University, Assoc. Prof. PhD (Tech.), sid@bmstu.ru
  The article addresses the development of intelligent predictive models that form the basis of predictive reliability analytics for technical systems. The study identifies key challenges related to data acquisition and proposes a structured set of data required for building reliable predictive models. It is substantiated that the quality of an intelligent forecast directly depends on the quality, completeness, and preprocessing of raw data, since inadequate data preparation often leads to systematic errors and unreliable conclusions. The author emphasizes the iterative nature of predictive analytics and presents a task formulation cycle that includes problem definition, data preparation, model development, validation, and refinement. It is concluded that the implementation of intelligent predictive models not only improves the reliability assessment of technical equipment but also enhances personnel awareness of operational specifics and potential failure mechanisms. The results may serve as a methodological basis for the practical implementation of predictive analytics in engineering systems.

  DOI: 10.24412/1993‑8780‑2026‑5‑09‑13

  
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• 3

  Modeling of the Science-Intensive Products Creation Production and Technological Process

  Authors: A.V. Leonov, Russian Academy of Rocket and Artillery Sciences (RARAS), Prof. Dr. (Ec.), alex.clein51@yandex.ru 

  S.G. Braytkrayts, 46th Central Research Institute of the Ministry of Defense of the Russian Federation, Dr. (Tech.), braitkrait_e@mail.ru 

  A.Yu. Pronin, RARAS, Assoc. Prof. PhD (Tech.), pronin46@bk.ru
  Modeling of the production and technological process is one of the main tools for assessing the level of production readiness of science-intensive industrial products, including those for defense purposes. In accordance with modern regulatory legal documents, the level of production readiness is understood as the degree of development of production or the production and technological base for organizing the introduction of the final product into production. The assessment of the level of production readiness is carried out for the effective implementation of projects for the creation, preparation, and development of the production and technological base using a special scale. In the article, an algorithm for modeling the production and technological process of creating science-intensive industrial products using Markov chains and an example of its use are presented.

  DOI: 10.24412/1993-8780-2026-5-14-20

  
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• 4

  Comprehensive Quality Assessment of Automated Diagnostic Systems

  Authors: K.G. Vashurov, St. Petersburg State University of Aerospace Instrumentation, ale.brai@mail.ru
  Modern wastewater treatment facilities used in production facilities are complex technical objects whose uninterrupted operation affects the industrial and environmental safety of production. The article analyzes the existing approaches to assessing the quality of operation of automated diagnostic systems for wastewater treatment facilities, and identifies the shortcomings associated with the inability to predict emergencies. The article develops a comprehensive quality assessment methodology based on the integration of statistical methods and simulation modeling, which allows for the use of data to predict equipment failures and emergencies. The implementation of this methodology enhances the accuracy of failure prediction and reduces the incidence of accidents, thereby ensuring the industrial and environmental safety of production.

  DOI: 10.24412/1993-8780-2026-5-21-26

  
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• 5

  Predictive Control for Wastewater Treatment Facilities of Pulp and Paper Production

  Authors: А.А. Berezina, St. Petersburg State University of Aerospace Instrumentation, anybaranova299751@yandex.ru
  This article analyzes traditional automatic control systems for wastewater treatment facilities at a pulp and paper mill, identifying their key limitation: their reactive operating principle, which fails to compensate for the inertia of technological processes and leads to treatment instability during sudden fluctuations in wastewater composition. A predictive system architecture has been developed, based on correlation and regression models that utilize operational data (turbidity, conductivity) for short- term forecasting of key indicators (COD, BOD5, suspended solids). Validation of the COD forecasting model on an independent test sample confirmed its high accuracy and adequacy (R2 = 0.89; MAPE = 2.3 %). Simulation modeling showed that the system’s implementation increases the COD treatment efficiency by 3.4 %, reduces reagent consumption by 18 %, reduces the incidence of standard exceedances by 75 %, and improves process stability. The results confirm the potential of predictive control for optimizing wastewater treatment facilities.

  DOI: 10.24412/1993-8780-2026-5-27-32

  
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• 6

  Approaches to Ensuring Technological Leadership of Russian Ferrous Metallurgy

  Authors: I.S. Filyutich, Research Institute Environmental Industrial Policy Center (EIPC), i.filutich@eipc.center 

  I.S. Kuroshev, EIPC, i.kuroshev@eipc.center
  The article proposes key methodological approaches to ensuring technological leadership in the Russian ferrous metallurgy. This issue is analyzed considering the importance of such systemic factors as energy and resource efficiency to enhance the industry’s competitiveness, as well as the need to mainstream climate policy into industry planning processes. The article notes the key role of systemic support of innovations deployment for sustainable technological leadership of the ferrous metallurgy in the current conditions. It also emphasizes the strategic importance of ensuring access to sustainable raw materials supplies for domestic companies, non- discriminatory access to allied markets taking into consideration increasing global competition, as well as the need to adopt measures to support long-term demand for steel products as an effective sustainable development policy measure.

  DOI: 10.24412/1993-8780-2026-5-33-39

  
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• 7

  Risk Management in Calibration Laboratories: from Experience to Solutions

  Authors: Yu.I. Knysh, Bryansk State Technical University, Bryansk Branch of State Regional Center for Standardization, Metrology and Testing in Tula, Orel, Ryazan, Kaluga, Smolensk and Bryansk Regions, redfox1k@yandex.ru
  The paper addresses the problem of risk management in Russian calibration laboratories, which remain significantly behind European counterparts in terms of digitalization. An analysis of German industrial experience — specifically the application of IoT monitoring, LIMS automation, and cloud-based data management — reveals practical mechanisms that have measurably reduced human-factor errors and improved metrological traceability. However, the central argument of this paper is that borrowing these tools wholesale is neither sufficient nor strategically sound: the structure of Russian regulatory infrastructure, existing constraints on foreign cloud services, and the imperative of technological sovereignty require a different approach. Rather than replication, the task is synthesis — taking the working principles demonstrated abroad and using them as a design brief for original domestic solutions. 

  DOI: 10.24412/1993-8780-2026-5-40-42

  
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• 8

  Numerical Simulation of a Partial Flowmeter Operation

  Authors: A.O. Kharitonov, Mendeleev University of Chemical Technology of Russia (MUCTR), Prof. Dr. (Tech.), alharitonov@yandex.ru 

  E.B. Busygina, MUCTR, Assoc. Prof. PhD (Tech.), bus-elena3@yandex.ru 

  О.А. Nikitina, Nosov Magnitogorsk State Technical University, Assoc. Prof. PhD (Tech.), line_av@mail.ru
  The methodology for determining the partial flowmeter coefficient based on numerical simulation of its operation is presented. Calculations were performed for a closed-loop system of the main and bypass air pipelines as for the calibration fluid. A comparative analysis of the obtained results with data from a full-scale bench experiment performed by a third party confirmed their convergence, which is sufficient for metrological calculations. The methodology has been refined to the engineering level. The simulation results showed that the calculated value of the studied parameter does not depend on the overpressure at the inlet of the measuring section of the pipeline and the pressure drop across the diaphragm, which also confirms the adequacy of the methodology to partial flow measurement scheme.

  DOI: 10.24412/1993-8780-2026-5-49-52

  
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• 9

  The Guidebook as a Genre of Tourist Discourse

  Authors: T.N. Poddubnaya, Kuban State University of Physical Culture, Sport and Tourism, Dr. (Ped.), tpodd@mail.ru 

  Е.А. Panina, Maykop State Technological University, Assoc. Prof. PhD (Soc.), len_le@mail.ru
  The most important component of the tourism industry throughout its history of development is information and reference support as a powerful independent industry cluster that functions according to its own laws. Guidebooks are an expressive form of information and reference support for the tourism industry, which contain a wide range of important materials for travelers about their destination, acting as a kind of consumer product. This article presents a conceptual view of the guidebook as a genre of tourist discourse, as well as the evolution of this form of information and reference support for the tourism sector. It characterizes the guidebook in terms of its functional purpose, composition, and sociocultural strategies, and describes the classification of modern guidebooks.

  DOI: 10.24412/1993-8780-2026-5-53-57

  
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• 10

  Classification and Numbering of Intellectual Property and Cultural Objects

  Authors:

  K.O. Belyakov, Stroganov Russian State University of Design and Applied Arts (Stroganov University), belyakov@mghpu.ru

  V.V. Slepukhin, Stroganov University, slepukhin@mghpu.ru
  In the modern world, intellectual property and cultural values play a key role in the development of society and the economy. In the context of globalization and digitalization, educational institutions, especially creative universities, have become centers for generating innovative ideas and intellectual products. However, in order to effectively manage and protect these results, it is necessary to develop comprehensive systems for their classification and identification. The article provides a brief overview of the existing tasks and problems in the current period of time when organizing the processes of registration of the result of intellectual activity (RIA), intellectual property object (IPO), intellectual property rights (IPR) in universities. The article shows possible ways of developing taxonomies in chains from the creation of works of art to storage systems for cultural objects. 

  DOI: 10.24412/1993-8780-2026-5-58-65

  
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