The study is devoted to the analysis of modern approaches to the organization of body scanning processes using photogrammetric technologies. Various methods of digital reconstruction of the human body are being considered, including manual and robotic scanning systems. A comparative analysis of measurement accuracy, texture quality and time characteristics of various approaches was carried out. Particular attention is paid to the issues of rigidity of the structures of scanning systems and their impact on the quality of the resulting three-dimensional models. The results show the superiority of specialized hand-held scanners over photogrammetric methods in accuracy, but the greater versatility of the latter in various application conditions.
Keywords: photogrammetry, 3D scanning, digital reconstruction, measurement accuracy, structural rigidity, robotic systems
The article is devoted to the development of methodology for implementing digital quality control systems in asphalt concrete production. The main attention is paid to the analysis of existing approaches to digitalization of quality control, formation of integrated monitoring system structure and development of step-by-step implementation algorithm. The study includes analysis of traditional control methods problems, justification of digital technologies selection and evaluation of proposed methodology effectiveness. The results show the possibility of increasing technological process stability and reducing control operations time by 35-40%.
Keywords: production digitalization, asphalt concrete quality control, digital transformation, control automation, technological process, information technologies, quality management system
The article considers the solution to the problem of increasing the autonomy and accuracy of controlling the movement of a transport trolley is inextricably linked to the accuracy of determining its current location. In this regard, a hardware and software system based on the integration of inertial and visual odometry data has been developed, which makes it possible to compensate for the disadvantages of some navigation methods with the advantages of others.
Keywords: trajectory of the control object, navigation system, inertial odometry, visual odometry, data aggregation, Kalman filter, location determination
The article considers the problem of constructing a continuous displacement trajectory based on nodal feedback data in control systems with prediction of external load. The use of interpolation by cubic Fergusson splines is proposed. The proposed approach has computational efficiency and is applicable in adaptive control systems, including control of rotational movements in a non-deterministic environment.
Keywords: control, predictive models, MPC, external load, interpolation, spline, trajectory of the control object
The paper investigates the specifics of the digital implementation of a rotor synchronization control algorithm for the SV-2M two-rotor vibration unit. The influence of the sampling period on the stability of the synchronous mode is evaluated using computer simulations in MATLAB/Simulink, with time quantization and zero-order hold delay explicitly accounted for. A comparative analysis of the digital and analog versions of the algorithm has been performed. The boundary values of the discretization periods for different values of the given total energy of the system have been determined. The obtained results confirm the applicability of the proposed approach for digital control systems of vibratory equipment.
Keywords: digital control, rotor synchronization, two-rotor vibration unit, speed-gradient algorithm, extrapolator
This paper considers a method for predictive detection and prevention of failures in information systems using neural networks. The «1C:Enterprise» was chosen as an applied example , widely used in the corporate environment. The urgency of the task is due to the need to improve the reliability of information systems and minimize downtime associated with technical failures. The proposed approach includes several stages: collecting and analyzing error logs, preprocessing data, selecting the architecture of an artificial neural network and then verifying its quality. A comparative analysis shows that the proposed solution provides a faster response rate to potential failures compared to classical monitoring tools.
Keywords: 1C:Enterprise, corporate information systems (CIS), IT services analytics
This paper addresses the challenges of automating enterprise-level business processes through the development of a specialized web application designed for task planning and working time accounting. The research focuses on solving problems related to organizational efficiency within the context of contemporary digital transformations. An innovative architectural design is proposed, leveraging advanced web technologies such as React for the frontend, Node.js with Express.js for the backend, and MySQL for reliable data storage. Particular emphasis is placed on utilizing the Effector library for efficient state management, resulting in significant performance improvements by reducing redundant UI renders. The developed solution offers robust features that enhance operational transparency, resource allocation optimization, and overall productivity enhancement across departments. Furthermore, economic justification demonstrates cost savings achieved through streamlined workflows and reduced administrative overhead. The practical implementation of this system has shown promising results, providing businesses with enhanced capabilities to manage tasks effectively while ensuring scalability and adaptability to future growth requirements.
Keywords: automation of business processes, task management, time management, web application, React, Node.js, Effector, information systems performance
The article discusses the problem of increasing the reliability of multifunctional display devices in the context of digital transformation of production processes. An approach to predictive diagnostics based on the analysis of operational and thermal characteristics of UMI using machine learning methods is proposed. The classification of UMI according to physico-technological principles and architectural levels was carried out, which made it possible to structure diagnostic models. Mathematical methods for predicting failures are considered, including logistic regression, gradient boosting (CatBoost), and residual resource estimation models. Special attention is paid to the development of the Thermal Emission-Based UMI Profiling (TEB-UP) method based on the analysis of heat maps and machine vision algorithms (PCA, autoencoders, CNN). It is shown that temperature unevenness is a sensitive indicator of degradation, ahead of traditional failure rates. The TEB-UP method demonstrates the potential for integration into monitoring and predictive maintenance systems within the framework of Industry 4.0 and 5.0 concepts.
Keywords: multifunctional display devices, predictive diagnostics, thermal profiling, residual resource, machine learning
The article describes an experiment on designing a neural network for a programmable logic controller in order to eliminate the need to involve programmers in the development of automated control systems. The main task of programmable logic controllers is to simplify the automation of technological processes; they practically eliminate the tasks of developing printed circuit boards and soldering operations of elements. Obviously, the fewer different tasks that have to be solved and the simpler these tasks are, the faster the development and launch of a new system will be, and its cost will be lower. For the same purpose, for programming controllers, fairly simple and visual languages are used, this greatly simplifies the work of programmers. At the current level of microelectronics development, the computing resources of controllers significantly exceed the level necessary for most automation tasks. The question certainly arises whether it is possible, using excess computing power, to develop a single universal program capable of adapting to any technological process. Surely, such a program will work slower and take up more memory, but in this case, the programming task should degenerate into the task of setting up ready-made software. The article is devoted to the development of a prototype of such a program based on the single-layer perceptron model. The structure and parameters of the developed neural network are described taking into account the characteristics of the target platform. The training process of the designed neural network is analyzed. The limitations imposed on the development are listed and substantiated. The advantages and disadvantages, as well as development options, are outlined.
Keywords: programmable logic controller, artificial neural network, single-layer perceptron, relay logic language, automated process control system
The paper considers the synthesis of a non-stationary automatic control system for braking the wheels of a heavy vehicle using the generalized Galerkin method. The research method under consideration is used to solve the problem of synthesizing a non-stationary system whose desired program motion is specified at the output of a nonlinear element. The paper presents the results of studying the impact of non-stationarity on the parameters of the fixed part of the system (object) on the deterioration of the quality of the transient process. For critical operating conditions, the parameters of the controller were recalculated, and the results of accounting for non-stationarity and re-synthesis were evaluated.
Keywords: automatic control system, regulator, braking system, unsteadiness of parameters, generalized Galerkin method
Reliability of power‑generation facilities is directly tied to the completeness and regularity of technical‑condition inspections. Traditional approaches—based on visual inspection and spot measurements—are labor‑intensive, poorly reproducible, and pose safety risks to maintenance personnel. In this context, the use of mobile robotic systems that can autonomously survey substations and other energy equipment is increasingly relevant. A key determinant of the effectiveness of such robotic platforms is the quality of the planned route: the coverage of equipment needed to obtain diagnostically valuable information.
In this paper we propose a method for discretizing and optimizing base‑point locations that formalizes the construction of inspection routes. The method sequentially applies a series of algorithms: (1) geometric discretization of the admissible motion area using a regular grid; (2) filtering of points while respecting the technical constraints of the robotic system (RTS) and no‑entry zones; (3) modeling of visibility zones with simplified colliders and quantitative assessment of visibility quality; and (4) optimization of the set of base points as a coverage problem.
The method’s effectiveness is demonstrated on a three‑dimensional model of a substation: scenario tests showed a reduction of the number of base positions by more than a factor of four while maintaining a high coverage rate (≥ 97 %). The practical value lies in the possibility of integrating the proposed methods into the diagnostic and technical‑control intelligence subsystems, thereby reducing labor costs, improving route reproducibility, and enhancing the quality of automated diagnostics in the energy sector.
Keywords: robotic platform, equipment diagnostics, route planning, equipment inspection, coverage problem, automation of the technological process
This article discusses an approach to the development of a control and accounting system for the target mixture loaded into glass furnaces located in machine shops of both a single plant and a group of glass plants belonging to one enterprise. A structural scheme is proposed for organizing the collection, processing and storage of data obtained from weight indicators of various models that support their own network frame formats. As an example, a network scheme for the implementation of the designated control and accounting system for target mixtures is demonstrated, applied to two geographically remote glass factories, using a mechanism for building private networks on top of open and public communication channels. The effectiveness of the proposed approaches to the organization of operational control over the volumes of loading of the target mixture into glass furnaces is substantiated, as well as the expediency of using this solution
Keywords: glass production, technological process, automated control system, charge accounting, weighing device, weight indicator, generalized block diagram, network diagram, interface converter, private network, database
The article considers the parameter identification issues of linear non-stationary dynamic systems adaptive models using the example of a linearized adjustable model of a DC motor with independent excitation. A new method for estimating the parameters of adjustable models from a small number of observations is developed based on projection identification and the apparatus of linear algebra and analytical geometry. To evaluate the developed identification method, a comparison of the transient processes of the adaptive model of a DC motor with independent excitation with the obtained parameter estimates with reference characteristics was carried out. The efficiency of the proposed identification method in problems of DC electric drive control is shown.
Keywords: DC motor, projection identification, dynamic system parameter estimation, adaptive model of non-stationary dynamic system
This article presents the development of an automated system for monitoring the quality of dragees using machine vision and digital simulation technologies. The goal of this work is to create an intelligent system that can detect surface defects of confectionery products, such as chips and cracks, in real time. The proposed approach combines the training of a neural network based on the YOLO architecture using both real and synthetic images, as well as the implementation of digital simulation of the production line for pre-debugging and optimizing the system parameters. The use of a digital model allows testing in conditions close to real, which contributes to an increase in the accuracy of defect classification and a decrease in the costs of equipment setup. The tests carried out confirmed the high efficiency of the proposed system and the expediency of its implementation in the food industry.
Keywords: machine vision, quality control, dragees, YOLO, digital simulation, surface defects
Modern computer systems for controlling chemical-technological processes make it possible to programmatically implement complex control algorithms, including using machine learning methods and elements of artificial intelligence. Such algorithms can be applied, among other things, to complex non-stationary multi-product and flexible discrete productions, which include such low-tonnage chemical processes as the production of polymeric materials. The article discusses the production of fluoroplastic in batch reactors. This process occurs under constantly changing parameters such as pressure and temperature. One of the important tasks of the control system is to stabilize the quality of the produced polymer, and for these purposes it is important to predict this quality during the production process before the release of fluoroplastic. The quality of the product, in turn, strongly depends on both the quality of the initial reagents and the actions of the operator. In non-stationary process conditions, typical virtual quality analyzers based on regression dependencies show poor results and are not applicable. The article proposes the architecture of a virtual quality analyzer based on mathematical forecasting methods using such algorithms as: random forest method, gradient boosting, etc.
Keywords: polymerization, multi-product manufacturing, low-tonnage chemistry, quality forecasting, machine learning
The article discusses the possibility of controlling engines in a multi-engine system using a fuzzy logic algorithm. An example of commands for controlling a system of several engines is given.
Keywords: fuzzy logic, automation, process modeling, PID control, motor control
In the current conditions of metallurgy development, the task of ensuring uniformity and stability of the raw material base is of key importance, as the main technological indicators and quality of the produced metal directly depend on these parameters. Agglomerate ore, which is an essential component of the blast furnace charge, has high requirements for the uniformity of its properties. Variations in the chemical and granulometric composition of agglomerate ore negatively affect the stability of the blast furnace operation, leading to increased coke consumption, reduced overall productivity, and inferior technological characteristics of the produced pig iron.
This article discusses the results of research on modeling alternative technologies for averaging agglomerate ore.
Keywords: homogeneity, mixing quality, agglomerate, averaging, standard deviation, coefficient of variation, mass fraction of the component
The article presents a digital processing algorithm for monitoring short-circuit currents in the power supply network. It is proposed to carry out control by calculating the rate of change of current. An algorithm based on a digital differentiating filter with suppression of high-frequency components has been developed. Based on the Fourier series, a non-recursive filter is formed, the characteristics of which are improved using the Lanczos smoothing method. It is proposed to use a recursive filter transformed from a non-recursive one using the B.L. Ho algorithm to save processing. The algorithm is easily implemented as programs for microprocessor systems. A filter based on an analog prototype is presented. A simulation of the short circuit process has been carried out.
Keywords: power supply, short-circuit current, data processing algorithm, power supply system monitoring, digital differentiating filter
The characteristics of a submersible induction motor are described with sufficient reliability for practice by the theory of multi-motor electric drive. In this case, the classical circuit of a submersible induction motor is a coupled system of several equivalent-T circuits. In turn, this significantly increases its computational complexity and reduces the speed of ACS. It is proposed to construct a mathematical model of the submersible electric motor in the form of polynomials with significantly higher speed using the methods of experiment planning. In the area of applicability, the differences in the estimation of energy performance do not exceed 1.1%, between the proposed models and classical equivalent-T circuits.
Keywords: automated control system, mathematical model, polynomial, mean absolute percentage error, computational complexity, design of experiment, scatter diagram, modal interval, submersible electrical motor, rotor package
The article presents the development of an automated cyber-physical chocolate customization system based on laser engraving with an integrated machine vision module for quality control. An experimental stand is described, which includes a Co₂ laser with a power of up to 30 W, a precision XYZ positioning system, a conveyor feed and an optical unit with an RGB camera and ring illumination. A laser control software has been developed that implements trajectory generation, focus auto-calibration, and power/speed control, as well as a hybrid visual control algorithm based on convolutional neural networks. Integration is carried out via Modbus/TCP and REST API: real-time inspection results are returned to the PLC for adaptive adjustment of engraving parameters or automatic rejection of defective products. During the DoE experiments, the model showed a decrease in rejection from 8.3% to 1.7% and an increase in throughput from 25 to 36 units/min. Economic and technical analysis confirm.
Keywords: automation, laser engraving, chocolate products, machine vision, quality control, customization.
The paper presents a method for constructing a software system for processing technological data as part of automated process control systems (APCS). The proposed approach is based on a formal representation of the data processing structure in the form of a directed acyclic graph (DAG), where each node corresponds to a stage of information transformation implemented using pluggable software modules. The architecture enables modularity, scalability, and reusability of components in organizing data processing and routing. The applicability of the approach is analyzed with regard to the development of flexible and adaptive software solutions designed for operation under changing requirements for processing logic of technological signals.
Keywords: APCS, process data processing, directed acyclic graph, modular architecture, software modules, fault tolerance, scalability, dynamic configuration, infrastructure integration, processing formalization
This article presents a method for adapting the TPL-1 telescopic rangefinder for photometric observations of artificial Earth satellites (AES). By integrating a ZWO ASI294MM Pro camera and a "Jupiter-21M" lens onto the telescope’s mount while retaining its original tracking capabilities, the system achieves high-precision photometric measurements without requiring expensive astronomical equipment. The custom-designed mounting mechanism ensures stable alignment and minimizes vibrations, allowing for prolonged observation sessions with reliable data acquisition.
The study demonstrates the system’s effectiveness through observations of several satellites, including ERS-2, ADEOS-II, and ALOS, each exhibiting distinct photometric signatures. The results reveal periodic brightness variations, rotational dynamics, and reflective properties of these objects, with measurement accuracy comparable to professional setups. The adapted setup proves particularly valuable for educational purposes, space debris monitoring, and satellite behavior analysis, offering a cost-effective alternative to specialized instruments.
This work highlights the potential of repurposing military-grade optics for scientific applications, bridging the gap between amateur and professional astronomy. Future enhancements could focus on automation and advanced data processing techniques to further expand the system’s capabilities.
Keywords: photometry, artificial satellites, TPL-1 telescope, equipment adaptation, light curves, space monitoring
The high-level software environment of automated process control systems requires reproducible and predictable maintenance. This article outlines the requirements for automation tools that ensure a consistent execution environment and independence of procedures from its current state. An assessment of the architectural characteristics of common solutions is provided. The joint use of Terraform and Ansible is justified as the foundation of a formalized maintenance model.
Keywords: software environment, automated control system, maintenance, reproducibility, configuration, automation, life cycle, computing environment, change management, programming language
The article describes the development of an application software designed for the automated creation of ornamental compositional patterns based on user-uploaded motifs. The study discusses algorithms for ornament generation using five grid types: square, rectangular (horizontal and vertical), ribbon, and radial. The main principles of user interaction with the program are outlined, including image uploading, parameter adjustment, visualization, and result saving. The software was implemented in Python using the Pillow and Tkinter libraries, which provide tools for image processing and graphical interface design. The presented results demonstrate the efficiency of an automated approach to ornament construction, significantly accelerating the design process and making it accessible to a wide range of users. The developed program supports iterative experimentation and visual modification of motifs in real time, enabling users to generate unique decorative compositions in the style of traditional folk crafts. The application can be used in educational, creative, and research contexts, promoting algorithmic thinking through visual experimentation. The project contributes to the digital preservation and reinterpretation of national artistic heritage, combining the traditions of folk ornamentation with modern technological methods.
Keywords: digital tools, ornament, generation, application software, graphical interface, Python, generation algorithms, cultural heritage, digital art, automation, folk arts and crafts
The paper is about special questions in simulation of controlled electro drive with speed feedback. The incremental encoder, that is an angle sensor in fact, is widely used as a speed feedback sensor in such a drives. It has same special features as speed sensor because of discrete operation and this features are to be taken in account in control system development and simulation. The simulation model of incremental encoder and speed signal decoder is present. Model is realized in SimInTech simulation system using visual modeling and programming language based description approach.
Keywords: Incremental encoder, speed sensor, quadrature decoder, electro drive simulation, incremental encoder simulation, SimInTech