An optimization model has been developed for the minimum required number of employees carrying out transport security measures included in transport security units, taking into account the algorithm for distributing employees, including various groups according to individual functions performed at different security levels, as well as the likelihood of various threats to transport security.

Keywords: transport strategy, digitalization of transport security, cost optimization, transport security units, requirements for ensuring transport security

The paper discusses the use of the M/M/n mass service model to analyze the performance of cloud storage systems. Simulations are performed to identify the impact of system parameters on average latency, blocking probability, and throughput. The results demonstrate how optimizing the number of servers and service intensity can improve system performance and minimize latency. The relevance of the study is due to the need to improve the performance of cloud solutions in the context of growing data volumes and increasing load on storage systems.

Keywords: cloud storage, mass service theory, M/M/n model, Python, modeling, performance analysis

within the framework of the conducted research, the task of controlling a robot of a parallel structure was considered. This paper presents a model of a 3-RPR type flat parallel robot in the Matlab package, developed for conducting computational experiments. Implementation of two types motion trajectories have been simulated in order to determine the optimal structure of the position regulators of the drive joint used in the robot control system. Six structure of regulators were compared: three classical ones: PD, PID, PDD and three of their fractional-degree analogues: FOPD, FOPID, FOPDD. The FOMCON tool was used to model fractional-degree regulators. The best results for type 3-PPR robot were shown by a control system with a FOPID regulator, which indicates the expediency of using fractional-degree regulators to control parallel robots.

Keywords: parallel robot, inverse kinematics problem, 3-RPR robot, computational experiment, working out the trajectory of movement, control system accuracy, fractional-degree regulator, parametric optimization of the regulator, comparative modeling, FOMCON tool

This article is devoted to the issues of implementation of automated control system of regional electric networks based on intelligent technologies. The significance of the issue under consideration is expressed in the fact that along with the development of technologies and their active use, electric loads in networks where large losses of electric power occur are increasing. Some issues of increasing the efficiency of production and consumption of energy resources at the regional level are considered. The main elements of the system approach to the analysis of the automated process control system of the regional energy system (APCS RES) are described. An example of the design and implementation of a pilot project for the introduction of intelligent technologies in the electrical networks of the Chechen Republic, in particular in the electrical networks of the city of Argun, is given. The most significant entities of the regional electric power industry are considered, which determine the process of functioning of the automated process control system of the power grid, as well as those that have or are capable of having an impact on the structure and process of functioning of the automated process control system of the power grid, where the degree of influence, situations and moments of influence for all the entities given are absolutely different. The conducted methodology of forming entities represents their dependence on each other to varying degrees.

Keywords: electricity metering, electrical network, intelligent technologies, automated process control system, regional energy system, electricity tariff

This study examines the control of the cooling fan speed as an effective means of reducing emissions of volatile organic compounds during three-dimensional layer-by-layer printing. The high extrusion temperatures used in modern high-speed printers lead to emissions of harmful volatile organic compounds, which poses health risks in poorly ventilated rooms. A mathematical model has been developed to establish a quadratic relationship between the fan speed and the volumetric air flow, which directly affects the deposition of volatile organic compounds on the melt surface. The experimental setup uses relay control of the motor current and proportional-integral-differentiating speed control, ensuring rapid stabilization of the air flow with minimal overshoot. From the analysis of transient characteristics, including motor current, fan speed, airflow velocity, and power consumption, it is shown that precise control of fan speed creates stable and predictable airflow movement, significantly reducing emissions of volatile organic compounds. In addition, the results show that integrating the feedback of the volatile organic compounds sensor in real time with the control of the extrusion rate can offer an even more adaptive and effective strategy for reducing emissions. This research lays the foundation for safer and more efficient 3D printing processes with layer-by-layer deposition modeling through improved temperature and emission management.

Keywords: volatile organic compounds, three-dimensional printing, adaptive control, layer-by-layer deposition, regulation

The article introduces a methodology for verifying BIM models of capital construction facilities. This approach focuses on dynamic assessment of intersection collision weights, combining geometric analysis, statistical methods, and adaptive metric weighting. Key metrics considered include granularity, geometry errors, tessellation complexity, and fill factor. The proposed methodology utilizes Python implementation with IfcOpenShell, leveraging a multithreaded architecture to significantly reduce data processing time. Testing on 20 multidisciplinary models highlights critical problematic elements such as walls, beams, and air ducts. The results demonstrate that adaptive weight distribution effectively identifies and prioritizes potential errors, improving the accuracy and reliability of BIM models. The study's findings are crucial for enhancing design and construction processes. By accurately assessing and mitigating errors, the methodology reduces project delays, cost overruns, and safety risks. It also promotes better coordination among project stakeholders, streamlining workflows and improving project outcomes. In conclusion, the proposed methodology is a valuable tool for verifying BIM models, ensuring the integrity and quality of capital construction projects. Its application can lead to more efficient, cost-effective, and reliable construction processes, benefiting both developers and end-users.

Keywords: TIM, collisions, verification, dynamic weights, adaptive metrics, algorithms, IfcOpenShell, python, standard deviation

The article develops calibration methods to improve accuracy and reduce operating costs of robotic systems in warehouse logistics. Special attention is given to the use of laser sensors and offset parameters, enabling the robot's position to adapt to changing conditions. The methodology includes the stages of initialization, orientation, and final verification, which help minimize deviations and reduce the need for manual adjustments. This approach ensures consistent operational accuracy and lowers operating costs through automated and adaptive robot calibration settings.

Keywords: robot calibration, warehouse automation, laser sensor, offset, positioning accuracy, robotic system, adaptive calibration, automatic calibration, collaborative robot, cobot

The article discusses approaches to the systematic analysis of historical data collected from water treatment facilities. By using tools from mathematical statistics, machine learning methods, and visual analysis techniques, the article proposes a formalized approach to assessing the efficiency of water treatment equipment. This approach makes it possible to identify hidden patterns in the data, build robust models of interdependencies, and develop recommendations for optimizing the technological process.

Keywords: water treatment, telemetry data, time series analysis, machine learning, equipment efficiency

The article presents the results of the analysis of the architecture of robotic technologies used in warehouse logistics. The following methods of architecture optimization are identified: multifunctionality, modularity, swarm intelligence, and the implementation of several operating modes. Based on the analysis, a conceptual model of a robot for inventory of warehouse premises was created. The main advantages of the model are: the possibility of using the robot outside working hours due to the presence of an autonomous operating mode; application for inventory and for joint work with other robots (coordination of the movement of ground robots); the presence of an interchange algorithm that ensures fault tolerance and a partial solution to the problem of the limited operating time of the robot from the battery.

Keywords: robotic technologies, drones, modularity, swarm intelligence, fault tolerance, warehouse logistics

The problems of building human-machine interfaces of automated operational dispatch control systems with a high density of information flow are considered. The article is devoted to the modernization of the graphical part of control systems with the proposal of levels of graphical mnemonic circuits and their description of their advantages. In the second part, the modernization of the previously proposed algorithm for the development of an alarm subsystem is given. The advantages of the proposed approaches for the end user are derived.

Keywords: dispatch control, automated control system, HMI, BMS, SCADA, UX/UI design

The paper describes an automated security system for a mining container: a short circuit protection system for smooth start-up of equipment, temperature control and fire prevention of devices.

Keywords: mining, electrical safety, temperature maintenance, fire prevention, automated system

This article provides an overview of existing structural solutions for in-line robots designed for inspection work. The main attention is paid to the analysis of various motion mechanisms and chassis types used in such robots, as well as to the identification of their advantages and disadvantages in relation to the task of scanning a longitudinal weld. Such types of robots as tracked, wheeled, helical and those that move under the influence of pressure inside the pipe are considered. Special attention is paid to the problem of ensuring stable and accurate movement of the robot along the weld, minimizing lateral displacements and choosing the optimal positioning system. Based on the analysis, recommendations are offered for choosing the most appropriate type of motion and chassis to perform the task of constructing a 3D model of a weld using a laser triangulation sensor (hereinafter referred to as LTD).

Keywords: in-line work, inspection work, 3D scanning, welds, structural solutions, types of movement, chassis, crawler robots, wheeled robots, screw robots, longitudinal welds, laser triangulation sensor

The development, research and construction of devices that speed up the process of interaction between various modules (for example, telemetry and remote control systems), and in general, hybrid communication systems of a digital city that include a variety of systems used in an Intelligent Building is an urgent problem. One of these devices presented in the article is the optimal multi–frequency modem developed. In addition to the developed modem, the article presents examples of the development of similar types of devices and systems by both Russian and foreign researchers. At the same time, the authors proved that the use of the proposed modem provides a gain in spectral and energy efficiency in comparison with analogues. The proposed approach can be used to organize high-speed data transmission over frequency-limited communication channels based on new wired technologies of the digital subscriber line standard, as well as wireless systems.

Keywords: telemetry and remote control system, intelligent building, digital city hybrid communications system, modem, multi-frequency modulation, digital subscriber line, optimal finite signal, modulator, demodulator, wireless communication system

The desliming process plays a key role in mineral processing technology, ensuring efficient particle separation based on their magnetic properties. The article examines the issues arising from the use of traditional magnetic deslimers under elevated slurry temperatures. One of the main drawbacks of existing methods is the decrease in magnetite density as temperature rises, which impairs separation quality and leads to losses of the valuable product. The article explores the physical aspects of this problem and proposes methods for its mitigation, including control of the magnetic field strength to optimize flocculation. It also considers the possibility of upgrading deslimers by replacing permanent magnets with electromagnets, enabling more precise process control. Magnetic field modeling with ANSYS Maxwell software confirms the effectiveness of the proposed solutions. The work’s primary focus is the development of a hybrid intelligent control system for the desliming process. The proposed system consists of three control loops: water supply, electromagnet excitation current, and desliming discharge. Each loop is managed by proportional–integral–derivative regulators, which are automatically adjusted based on data regarding changing slurry parameters and external conditions. Applying these methods can significantly improve the quality of the iron ore concentrate, increase the iron content in the product, reduce losses in tailings, and ensure stable equipment operation under varying environmental conditions.

Keywords: magnetic desliming, flocculator, automated control system, PID controller, iron ore processing, optimal control

This paper explores the development and application of a neuro-inspired automated system for greenhouse microclimate control. The relevance of the topic stems from the need to improve the resilience of agricultural production in the context of population growth and climate change. The proposed system architecture includes a hierarchical sensor network based on STM32 microcontrollers, an analysis module implemented on a Raspberry Pi 5 with neural network-based data processing, and a distributed actuator layer. The paper describes telemetry processing methods, device addressing and polling algorithms, as well as neural network models (YOLO and EfficientNetB3) used for plant disease diagnostics. An experimental evaluation of the classification model demonstrated high accuracy and confirmed the system’s capability for real-time operation.

Keywords: greenhouse automation, microclimate, neural network analysis, STM32, Raspberry Pi, deep learning, YOLO, EfficientNet, IoT, plant disease classification

The article discusses the problems of wear of the feeding machine rollers associated with speed mismatch in the material tracking mode. Existing methods of dealing with wear and tear struggle with the effect of the problem not the cause. One of the ways to reduce the intensity of wear of roller barrels is to develop a method of controlling the speed of the feeding machin, which reduces the mismatch between the speeds of rollers and rolled products without violating the known technological requirements for creating pulling and braking forces. Disclosed is an algorithm for calculating speed adjustment based on metal tension which compensates for roller wear and reduces friction force. Modeling of the system with the developed algorithm showed the elimination of speed mismatch during material tracking and therefore it will reduce the intensity of roller wear.

Keywords: speed correction system, feeding machine, roller wear, metal tension, control system, speed mismatch, friction force reduction

This study investigates the integration of piezoelectric elements with marine buoys for the purpose of utilising wave energy in autonomous marine devices. The buoy system was subjected to controlled wave conditions during testing, resulting in a peak voltage of 5.6 V and a maximum power of 40 microW. The findings indicate the viability of the system in powering low-power marine equipment. The integration of piezoelectric elements into marine buoy systems offers a cost-effective hybrid solution, making it a promising power source for powering buoys and sensors in remote offshore environments.

Keywords: wave energy conversion, sea waves, piezoelectric elements, wave height, wavelength

It's analyzed the dependence of the melt pressure value from other extrusion process parameters in polymer recycling and justified the importance of pressure monitoring. Structural scheme of developed automatic control system, not including pressure control, is presented and the ways of its improving are shown, taking into account also the influence of viscosity characteristics of processed polymers and constructional features of the extruder on melt pressure value.

Keywords: polymer extrusion, melt pressure, automatic control system of extrusion process

The article presents a technique for automated control of the gloss of chocolate bars based on machine vision, integrated into the functional scheme of automation of cooling and molding processes. The key factors affecting gloss are considered, existing control methods are analyzed and the need for continuous objective quality assessment is substantiated. To optimize the process, a digital simulation has been created in the R-PRO environment, which allows simulating various technological modes. The developed image processing algorithms calculate quantitative gloss values and form feedback with the control system, adjusting key production parameters. The proposed approach improves the accuracy of control, reduces the volume of defects and reduces the time for debugging equipment, creating conditions for the further development of full automation in the chocolate factory.

Keywords: chocolate, surface gloss, automation, machine vision, quality control, cooling and molding, digital simulation

The paper proposes and specifies the engineering mathematical model of the drive using a block of ferrofluid couplings and, within the framework of preliminary design, studies its dynamic properties, in the course of which transient characteristics are obtained, allowing to assess the qualitative performance of such a drive and to outline measures for their improvement.

Keywords: uninterruptible power supply system, automatic regulation, relay voltage regulator, relay system modeling.

A method of power and kinematic analysis of the differential drive of vehicle wheels is proposed, in which uncertainty is eliminated by using the principle of minimum potential energy.

Keywords: external load modeling, differential drive, vehicle, driver, optimization problem

At present, continuous tank reactor is widely used in many different industries, and there are many control methods for this reactor. This paper presents a design method for model predictive controller (MPC) based on fuzzy model. The control object is modeled by fuzzy model (Takagi-Sugeno), the optimization problem is solved by genetic algorithm. Using fuzzy models and genetic algorithms to implement MPC controller, it achieved better quality than traditional MPC controllers.

Keywords: method of designing a model predictive controller, fuzzy model, Takagi Sugeno, genetic algorithms, multiple inputs-multiple outputs

The development of a system for automatic generation of starter site templates to simplify the creation of web applications is being considered. Using code generation allows you to automate the process of writing repetitive code, reducing development time and increasing the efficiency of developers. The system provides a user-friendly interface for selecting and configuring templates, eliminating the need to work with console commands. This allows you to speed up the prototyping and deployment of web applications, which is especially important when creating projects with many repetitive components.

Keywords: website, content management, code generation, content management system, website template, web applications, framework, server side, client side, optimization

A laboratory circuit of the installation with a heat exchanger-supercharger in the hot water circuit of the boiler has been developed. The conducted studies have shown that the temperature of hot water at the outlet changes depending on the oscillation frequency of the electromagnetic valve at a given flow rate, and the highest efficiency of water heating is observed at a frequency of 1.75 Hz. Calculation of the heat transfer coefficient showed that at a steady-state flow rate, the heat transfer coefficient of the heat exchanger-supercharger is 180 W / (m ^ 2 ° C). Then, with increasing frequency, the heat transfer coefficient smoothly decreases and reaches a minimum of 173 W / (m ^ 2 ° C) at 1.0 Hz. With a further increase in frequency, the heat transfer coefficient begins to increase and reaches a maximum of 188 W / (m ^ 2 ° C) at 1.75 Hz. As a result of the experiment, it was also found that with increasing frequency, the flow rate in the hot water circuit increases and reaches a maximum at a frequency of 1.75 Hz Q = 0.6 l / sec. That is, at such a frequency, the heat exchanger-supercharger, due to the oscillations of the liquid flow in the first circuit (cold water circuit), most effectively transmits the oscillations of the flow to the second circuit (hot water circuit), which can be used to reduce the power of the pump in the hot water circuit at this frequency.

Keywords: heat exchanger-supercharger, heat transfer coefficient, electromagnetic valve, water hammer

The problem of determining the area of defects in the surface layer of bearing parts according to eddy current non-destructive testing is considered. Methods of processing eddy current control data are given. The possibility of using a robust median polishing method to increase the information content of eddy current data is substantiated. It is proposed to use a sliding window, a standard deviation calculation, and a production rule formed by the Shannon information entropy criterion as tools for localizing defect patterns in the eddy current image of the control object. The results of the application of the developed localization algorithm based on eddy current control data of bearing parts obtained in real production conditions are presented.

Keywords: eddy current control, localization, defect, data analysis, recognition, surface layer, intelligent technologies, Shannon entropy, median polishing, classification problem