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  • The concept of digitalization of the construction organization project

    The concept of digitalization of the construction organization project (POS) is presented, which is based on its close connection with the construction schedule. The place of the POS in the digital model of the building at the project stage (PIM) is considered. based on its digitalization, taking into account the relationship between information modeling at the project stage (PIM). The main problems that may arise when implementing the digital version of the POS in the general information model at the project stage are identified.

    Keywords: BIM, TIM, POS, digital model, calendar schedule, construction organization

  • Intelligent support for adaptive construction of project trajectory

    The article is devoted to the problems of managing the implementation of multi-scenario, multi-stage projects under conditions of uncertainty. The proposed approach is based on representing the project model in the form of a scenario network. The developed fuzzy linguistic model of a project stage is a set of linguistic variables corresponding to the stage indicators and external factors influencing the subsequent implementation of the project. The decisive rules for choosing the arc of transition to the next stage are constructed in the form of fuzzy products, the left parts of which are fuzzy statements regarding the preference of possible options. The constructed decision support procedure is based on the use of the Mamdani fuzzy inference algorithm, which has high interpretability. The proposed approach allows for multi-scenario planning and adaptability of management of the implementation of multi-stage projects.

    Keywords: multi-scenario multi-stage projects, adaptive project management, scenario network, decision support, linguistic variable, fuzzy inference

  • Increasing the stability of staircases in difficult engineering and geological conditions

    The article discusses the issues of stability of pedestrian paths and staircases located on sloped areas and interacting with a complex geological environment. The features of designing construction projects on sloping areas are considered. The reasons for the occurrence of various defects and destruction on the staircase, located on the embankment of Khabarovsk, were investigated. An assessment of the stability of the structure during repair work is given. Measures are proposed to increase the stability of the structure.

    Keywords: staircase, slope, slope stability, stress-strain state, fortifications

  • Development of an operational quality control scheme for installation of sheet metal waterstops

    The article presents an analysis of the requirements for quality control in the current regulatory documentation of the Russian Federation and the experience of developing a scheme of operational quality control (SOQC) for the installation of sheet metal waterstops, obtained on the basis of regulatory and methodological documentation and materials from manufacturers of waterproofing materials: domestic and foreign, and the practice of using polymer and metal waterstops and our own experimental studies. The content of the main information blocks of the SOQC in the practically accepted unification of requirements for quality control in construction is described. Construction defects are indicated when using polymer waterstops for waterproofing technological seams of monolithic structures of civil buildings, which can be avoided if the requirements are met and the work is performed in accordance with the developed SOQC as part of the technological map of the work production project.

    Keywords: scheme of operational quality control, quality in construction, installation tolerance, requirements, sheet metal waterstop

  • Overview of the capabilities and technologies of implementing anti-plagiarism systems

    This article analyzes and reviews modern methods and technologies used in anti-plagiarism systems, with an emphasis on the Russian market. The purpose of considering all of the above is to choose a suitable anti-plagiarism system for integration. The article presents the most popular Russian services for detecting borrowings, their business models, algorithms of operation, as well as a general description of the principles and mechanisms underlying these algorithms. It was determined that the most universal and effective system for finding loans is the service Antiplagiat.ru , since it has the possibility of integration via the API, as well as 34 additional modules that provide the opportunity to adapt the functionality of the system to individual needs.

    Keywords: antiplagiarism, text analysis, text processing algorithms, semantic analysis, stylistic analysis

  • Mathematical modeling of stress-strain state of the Kuznetsovsky tunnel under reconstruction

    The large-scale development of Russia's lands led to the creation of a railroad network. Along with the laying of the railroad, the entire transportation infrastructure, such as bridges, tunnels and overpasses, was erected. Many structures are already more than 100 years old. The structures are deteriorating and approaching the end of their life cycle. It is therefore necessary to reconstruct or dismantle these structures. Due to the increased freight traffic between China, Russia and Western Europe, it is necessary to reconstruct all tunnels on the BAM. This paper presents one of the tunnel reconstruction options and investigates by mathematical modeling the stress-strain state of the system "array-construction" by which the tunnel can be reconstructed.

    Keywords: mathematical modeling, stress-strain state, railway tunnel, reconstruction, finite element method, drilling and blasting, mechanized tunneling, mining machine, displacements, Baikal-Amur Mainline

  • Numerical modeling of the stress-strain state of compressed reinforced concrete pillars reinforced with composite materials

    Currently, a large amount of research is devoted to the use of polymer composite materials applied for increasing the strength and durability of reinforced concrete elements. In compressed reinforced concrete columns, the bearing capacity depends on the eccentricity of the external force application and the corresponding stress-strain state, as well as on the arrangement and quantity of composite materials bonded to the surface of the structure. The choice of the arrangement scheme of composite materials depending on the stress state of the structure is of current interest for researchers. At the same time, studies conducted on centrally compressed elements often have contradictory effects. The main purpose of this study is to perform numerical experiment of a digital model for the centrally compressed concrete column reinforced with composite materials. The calculation results for 3 short columns with different reinforcement schemes are presented. It is shown that the use of composite materials to reinforce structures increases the bearing capacity up to 10%. Based on the study results, recommendations on the optimal schemes of reinforcement with composite clamps of inflexible columns reinforced in the transverse direction are proposed.

    Keywords: reinforced concrete columns, normal sections, finite element modeling, reinforcement with composite materials

  • The use of automated systems to improve the quality of metrological support of measuring instruments

    This article discusses the automation of metrological ensure at manufacturing enterprises and in metrological laboratories with a special focus on innovative technologies, including the introduction of enterprise resource planning systems (ERP systems) and the use of calibrator standards. The functioning of automated measuring systems that implement pre-established algorithms for control and testing measuring instruments is considered. An analysis of existing solutions on both the domestic and foreign markets was carried out. In particular, the focus is on a meter designed for testing integrated circuits. The possibility of integrating these measuring systems with software at various levels is discussed, as well as the prospects for their use in mass calibration of measuring instruments. The use of automated measuring systems can significantly speed up the calibration process, eliminating the need for manual voltage regulation and thereby minimizing the influence of the human factor on the accuracy of measurements. The adaptive capabilities of the software are discussed, which allows the system to be used for various types of measuring instruments, such as ammeters and ohmmeters. The findings confirm that automation of calibration processes not only significantly speeds up this operations, but also ensures strict adherence to all procedures, which helps improve the quality and reliability of the resulting measurements.

    Keywords: Measuring systems, verification, calibration, measuring instruments, , automation, voltmeter, verification procedure

  • Mapping urban air pollution using mobile dust meters of the AirExpert Mini series

    Results of field tests of mobile dust meters of the AirExpert series based on optical sensors (OPC-R1 / OPC-N3) at the stationary air monitoring station "Shabolovka" State Environmental Budgetary Institution (GPBU) "Mosekomonitoring", Moscow, equipped with a dust analyzer (TEOM) series 1405 , showed that the measurement accuracy meets the requirements for instruments for measuring the quality of atmospheric air in populated areas. Mapping of atmospheric air pollution in certain areas of the cities of Obninsk, Dubna, St. Petersburg, Kursk, Moscow, Volgograd (2019-2024) was carried out, which made it possible to quickly assess the environmental situation in the study area in real time, thereby detailing the data from stationary monitoring posts.

    Keywords: mobile dust meters, monitoring, reference device, measurement accuracy, pollution mapping, hyperlocal monitoring

  • A neural network model for the identification of pollen grains in a honey micropreparation

    This paper considers the development and training of a neural network model for the identification of the species and quantitative composition of pollen, which will subsequently be used to determine the botanical origin of honey and quantitative calculations of pollen grains contained in a certain mass of honey. The main purpose of the study is to create a model that can effectively distinguish the morphology of pollen grains present in honey, determine their quantitative and qualitative composition, which will improve product quality control, as well as identify its botanical and geographical origin. For this purpose, similar works on pollen classification were analyzed. Pwtorch was chosen as the framework for creating a neural network model, which provides the possibility of detailed configuration of the model. The result of the work is a trained model capable of classifying pollen grains.

    Keywords: neural networks, classification task, pollen classification, convolutional neural networks, PyTorch

  • Disassembly mechanical cleaning of plate heat exchangers

    The article considers the problem of sediment formation, sludge and corrosion on the heat transfer surface during the operation of heat exchange equipment at housing and communal services facilities. A new method of non-selective mechanical cleaning using a water hammer is proposed. The description and principle of operation of this cleaning system at the central heating station of the Ogarev Moscow State University are given. To confirm the effectiveness of the proposed technical solution, the results of thermal and hydraulic tests are presented.

    Keywords: deposits, sludge, corrosion, cleaning, heat exchanger, water hammer, heat transfer

  • Methods and means of forming and evaluating the competencies of specialists in the field of information security based on a multifunctional software and hardware complex

    The article discusses various aspects of the organization of training of specialists in the field of information security on the basis of a cyberpolygon – a multifunctional software and hardware complex. The analysis of the essence of cyberpolygon as a computer learning technology within the framework of the digitalization of education and the formation of students' competencies, for example, digital culture and cyber hygiene, is given. Based on the analysis of the capabilities of the cyberpolygon for the training and retraining of specialists of various profiles, the requirements for the specifics of methods and means of training and assessment of their competencies are formulated. The problems of conceptual design of the educational content of the cyberpolygon, the need for a formalized description of the essence of competencies and their components, fixing cause-and-effect relationships for the scenario design of educational trajectories are discussed. Special attention is paid to the specifics of pedagogical design, the use of active and group approaches to learning, the need for role allocation in solving team tasks. New formal approaches to the conceptual design of the entities of competencies are proposed, taking into account this specificity, methods of automated distribution of participants by roles of educational projects and educational tasks, new conceptual models for assessing competencies based on covering them with suitable competence-oriented tasks. The proposed conceptual models formed the basis of the software architecture of the cyberpolygon information components for the management of educational trajectories and are presented at the level of design artifacts of the logical level of the cyberpolygon management system.

    Keywords: cyberpolygon, information security, cyber hygiene, digitalization of education, digital culture, conceptual design, methods of automated distribution, competency assessment models, design artifacts

  • Development of an adaptive control system for asphalt concrete mixture formulation for Vietnam based on the experiences of Russia

    As of today, in Vietnam, to ensure stability and improve the quality of asphalt concrete, the main focus is on the application of new technologies, materials, or the improvement of design methods. However, despite significant achievements in this area, the issue of automating the processes of asphalt concrete mixture production management remains insufficiently researched and implemented. Based on the experience accumulated in Russia, the authors propose developing a system of adaptive control for the asphalt concrete mixture recipe, which contributes to the stabilization and improvement of production quality. In the article, the authors present the structure of the control system and its algorithms, as well as describe the results of modeling and evaluating the effectiveness of this system. The study shows that the adaptive control system for the asphalt concrete mixture recipe, developed based on the experience from Russia, successfully demonstrates its effectiveness in the conditions of Vietnam.

    Keywords: asphalt concrete, asphalt concrete mix, Marshall stability, control system, formulation, simulation model, modeling, MATLAB, management efficiency

  • An algorithm for tracking human movements in a video stream based on the color group matching method

    Among the vast range of tasks that modern advanced video surveillance systems face, the dominant position is occupied by the task of tracing various objects in the video stream, which is one of the fundamental problems in the field of video analytics. Numerous studies have shown that, despite the dynamism of processes in the field of information technology and the introduction of various tools and methods, the task of object maintenance still remains relevant and requires further improvement of previously developed algorithms in order to eliminate some inherent disadvantages of these algorithms, systematization of techniques and methods and the development of new systems and approaches. The presented article describes the process of step-by-step development of an algorithm for tracking human movements in a video stream based on the analysis of color groups. The key stages of this algorithm are: the selection of certain frames when dividing the video stream, the selection of the object under study, which is further subjected to a digital processing procedure, the basis of which is to obtain information about color groups, their average values and percentages of their occupancy relative to the object under study. This information is used for the procedure of searching, detecting and recognizing the selected object with an additional function of predicting the direction of movement on video frames, the result of which is the formation of the entire picture of the movement of the person under study. The materials presented in this paper may be of interest to specialists whose research focuses on issues related to the automated acquisition of certain data in the analysis of various images and videos.

    Keywords: surveillance cameras, u2– net neural network, rembg library, pattern recognition, clothing recognition, delta E, tracing, direction prediction, object detection, tracking, mathematical statistics, predicted area, RGB pixels

  • Support for decision making when choosing a project for autonomous power generation for small industrial enterprises

    The work is devoted to the problem of providing electrical energy to remote production enterprises in the absence of a centralized power supply. The purpose of the work is to develop decision support tools for choosing autonomous power generation projects from a large number of possible alternatives. To achieve this purpose, a hierarchy of criteria was constructed and a comparative analysis of existing technical and economic solutions in the field of small-scale autonomous energy was carried out. It is shown that when choosing a power generation project for a particular enterprise, there is a fairly large number of alternatives, which makes the use of commonly used decision support procedures based on the hierarchy analysis method/analytical network method (in the classical version) ineffective. An iterative procedure with dynamic changes in feedback between criteria and alternatives is proposed, which makes it possible to reduce the dimension of the supermatrix during the calculation process and, thereby, reduce the time complexity of the algorithms. The effectiveness of the proposed modification of the analytical network method is confirmed by calculations. The constructed procedure for selecting an autonomous power generation project makes it possible to increase the level of scientific validity of technical and economic decisions when expanding the production activities of small enterprises in remote and sparsely populated areas.

    Keywords: autonomous power system, decision support, analytical network method