Occupational safety is one of the important aspects of the organization of work in production. Domestic machines and units used in the food industry do not yet allow to exclude the impact of harmful and dangerous production factors, to make the work of employees safe. In this context, it is important to study active and passive methods of noise and vibration suppression, their effectiveness in ensuring normalized working conditions of workers on the example of a specific production. Existing research, as a rule, focuses on one criterion when choosing protection methods. However, an integrated approach is advisable in solving this problem. The purpose of this study was to choose a rational method of protecting personnel from the effects of noise and vibration based on the economic justification of effective technical solutions. The obtained research results make it possible to take into account the criteria for evaluating the validity and acceptability of choosing a particular protection method, including from the standpoint of technical and economic calculation, when designing a security system. The above study showed the expediency of import substitution in the food and beverage industry, as well as the correlation between the introduced protection systems and an increase in the level of safety. The given algorithm of the feasibility study has the properties of scale and generality. It can be successfully implemented when choosing methods of protection from the effects of other harmful production factors found in various industries.

Keywords: acoustic factor, protection methods, active and passive methods, economic justification, sound pressure levels, experimental data

The article presents aspects of the development of a device for wirelessly picking up a vibration acceleration signal from the surface of a ball mill drum. The results of measuring vibration acceleration for a ball mill model for various levels of loading with crushed material are presented. According to these results, with an increase in the load of crushed materials relative to the ball, the level of vibration decreases. The work also presents the obtained pie diagrams of the distribution of vibration load across the mill drum, from which one can judge its current operating mode.

Keywords: ball mill, wireless signal, vibration acceleration, mill loading control

A programming method based on the ESC pattern is presented. The relevance of the work is due to the fact that the object-oriented approach is one of the most popular and sought-after ways to develop an information product due to a huge regularly updated selection of various methods, templates and ways of its implementation. The most significant of them is Entity System Component (ESC). This method of implementing OOP allows you to make the software product flexible and extensible. The ESC pattern is based on the reactive programming method and divides the entire code architecture into three components: entity, system, component. The tool package that implements the ESC pattern is the ESC DOTS package, designed for the Unity3D environment. The built-in Jobs System package provides the ability to work with multi-threaded programming in Unity. This package distributes threads created at runtime into groups of a certain type, which have a strictly limited execution time. Thus, the task of enumerating an array of several hundred elements goes into a Temp type thread, which runs for one frame in Unity, and the enumeration of a million polygons of the Unity landscape is placed in a Persistent type thread, which has an unlimited time limit.

Keywords: object-oriented programming, Unity framework, ESC pattern, multi-threaded programming, reactive programming, extensible architecture, package manager

Asphalt concrete mixes are the primary construction material for road surfaces, and precise design of their composition plays a key role in the quality and durability of road pavements. This article discusses the challenges associated with designing asphalt concrete mix compositions and presents a developed system for automatic mix selection. The automatic asphalt concrete mix composition selection system is a powerful tool for optimizing the material selection process used in road construction. This system can calculate the optimal mix composition, taking into account technical and economic constraints, leading to increased accuracy and reliability in mix selection. The advantages of this system include reducing the time and cost of the selection process, enabling testing and analysis of various mix options, ultimately improving the quality and durability of road pavements.

Keywords: asphalt concrete, asphalt concrete mix, composition selection, least squares method, linear programming method, software, automation, Python, Microsoft Access

The modeling of a multi-motor linear electric drive of a conveyor train is considered. A diagram of the simulation model made in the Simulink program is given. Graphs of the speed and force of the electric drive during the relay transmission of the secondary element are given. The conclusion is formulated that the system fulfills the requirements placed on it.

Keywords: simulation modeling, Simulink, linear asynchronous motor, electric drive, conveyor train, relay transmission

The drilling and blasting method is currently the most widely used for mining rocks. An indicator of the high–quality drilling and blasting operations is the uniform granulometric composition of the exploded rock mass - the percentage of oversized ore pieces should be minimal. The percentage of oversized and its increase have a significant impact on the technical processes of transporting rock mass, leading to an increase in the costs of loading and transportation operations and secondary crushing of oversized ore masses. The paper describes the results of a study of methods for determining the granulometric composition of drilling and blasting operations using neural networks of segmentation Unet and FPN. Images taken from UAVs are used for analysis. A method of classifying ore by size has also been developed, which ensures the accuracy of the proportion of correct answers of more than 0.91. The expected result of the introduction of the system for automatic determination of the granulometric composition of drilling and blasting operations is the possibility of more accurate control over the quality of their performance.

Keywords: granulometric composition, Unet, FPN, classification, segmentation

This study is devoted to analyzing the capabilities of the Python programming language when creating information systems for detecting dangerous objects in luggage. As a result, a recognition system architecture was developed, including the following main components: an image processing module, a machine learning module, a database and a user interface. The software chosen is Python with the libraries PySide6, SQLite, Numpy, YOLO. The information system was implemented and tested on real data, which confirmed the correctness of the selected capabilities and technologies of the Python language for the development of security information systems.

Keywords: information system, security, neural network, machine learning, pattern recognition, performance

This article explores a method for executing data collection systems based on the widely-used industrial protocol, Modbus TCP. In this configuration, the server is a program emulating the Modbus TCP protocol.To implement the client an algorithm and furnished a practical Python programming illustration that employs a lower-level socket library.

Keywords: python, socket, modbus

This article discusses the possibility of changing the formulation of an anti-icing mixture directly in a combined road machine, by integrating data from road weather stations and modernizing a universal spreader. To quickly change the recipe of the distributed mixture, using the example of a sand-salt mixture, it is proposed to use a two-hopper universal spreader with an automated control system. The recipe for the distributed anti-icing mixture is calculated depending on weather conditions. An example of LabVIEW software is given to solve the local problem of finding a current weather station.

Keywords: automation, road machine, universal spreader, de-icing materials, composition selection, control system

With the development of technology, access systems with higher accuracy and levels of reliability have emerged. Access systems are a fascinating and important area of expertise, requiring knowledge from a wide range of disciplines such as information security, electronics, programming and systems administration. Therefore, its further development requires highly qualified specialists. In this regard, to involve the younger generation, educational programs and courses aimed at training and intellectual development of adolescents are appearing. To practically reinforce the acquired knowledge, various educational kits and open-source laboratory stands are used, on which students can try their hand and implement ideas. This project has prospects for further development for work not only in terrestrial laboratories, but also at orbital stations - this aspect is especially interesting for young explorers of the Universe. The goal of the work is to create a safe and convenient access system for users, providing a high level of security and ease of use.

Keywords: research, experiment, payload, space, remote control, self-determination, career guidance

This research paper presents a project to create a device for complex measurement of atmospheric parameters affecting the operation of a solar cell, based on the Arduino microcontroller. The purpose of the study is to develop a device capable of measuring illumination, temperature, humidity and wind speed to assess their impact on the efficiency of solar panels. The research paper describes the necessary components for assembling the device, such as a BH1750 light sensor, a DHT22 temperature and humidity sensor, a Grove anemometer and an LCD display. A diagram of how to connect the components to the Arduino Uno microcontroller is provided, as well as an example of software code for collecting and displaying data. The results of the study include an analysis of the collected data to calculate the efficiency of the solar cell under various atmospheric conditions. Methods for correcting the data taking into account temperature changes and the cooling effect of the wind are considered. In conclusion, the possibilities for further improvement of the device are discussed, including anemometer calibration, integration with Internet services for remote monitoring, and adding a data storage function. The developed device can be used to optimize the operation of solar panels, as well as in research and educational projects aimed at studying the influence of external factors on the performance of solar cells.

Keywords: arduino, solar cell, atmospheric measurement, atmospheric measurement device, solar radiation energy, atmospheric parameters sensors, automated measurement, meteorological data, renewable energy, solar radiation data

The possibility of detecting false positive cybersecurity incidents using deep learning models - GRU, Bidirectional LSTM (Bi-LSTM), LSTM - has been studied. The results obtained demonstrate the effectiveness of solving the problem for Powershell scripts. The Bi-LSTM model showed the best classification results, demonstrating an accuracy of 98.50% on the test sample.

Keywords: machine learning, classification, cybersecurity, deep learning, Powershell

The paper provides a comparative analysis of additive technologies in the field of formation of electromechanical designs of functional devices. In particular, the problem of using additive technologies, their relevance in relation to modern needs in different fields of science and technology is put, the essence of additive technological processes for the production of various kinds of products is revealed and a specific design and technological approach for creating a modular product on the basis of these technologies is defined.

Keywords: additive technologies, printed circuit board, 3D printing, fused deposition modeling , selective laser sintering, stereolithography, digital light processing, direct metal laser sintering, selective laser melting, direct ink writing

This article discusses the features of the use of neural network detectors in the tasks of recognizing protective helmets and helmets. Nowadays, workplace safety is becoming an increasingly relevant topic, especially in industries with a high level of injuries. There are accidents caused by violations of rules and regulations at work sites, among them cases related to non-compliance with the rules of wearing protective helmets. The article examines methods and algorithms for recognizing protective helmets and helmets, and assesses their effectiveness.

Keywords: convolutional neural network, object recognition, protective helmets. helmets, SSD, YOLOv5, Faster R-CNN, machine learning, deep learning, image classification

In this work, the developed system for detecting areas with defects in the development of corn crops was investigated from a photograph taken by an unmanned aerial vehicle (UAV) using computer vision. To solve the problem of detecting such sites, the structures of the YOLOv5 and YOLOv8 neural networks were considered. The use of the developed software will reduce labor and time costs for image analysis, which in turn will reduce the response time when problem areas are detected in agricultural fields to achieve higher yields.

Keywords: instance segmentation, YOLOv5, YOLOv8

Existing methods for determining the geometry of an enclosed space using echolocation assume the presence of a large amount of additional equipment (sound sources and receivers) in the room. This paper investigates a method for determining the geometry of enclosed spaces using sound location. The method does not assume the presence of a priori knowledge about the surrounding space. One sound source and one sound receiver were used to create and capture real impulse characteristics. A microphone was used as a sound receiver and a finger snap was used as a sound source to produce the impulse response. In this work, we used convolutional neural networks that were trained on a large dataset consisting of 48000 impulse responses and a number of room geometry parameters corresponding to them. The trained convolutional neural network was tested on the recorded impulse responses of a real room and showed accuracy ranging from 92.2 to 98.7% in estimating room size from various parameters.

Keywords: convolutional neural networks, room geometry, echolocation, impulse response, robotics, recognition, contactless methods of measuring objects, sonar, geometry prediction, virtual reality

This paper presents the concept of using fuzzy control methods in the construction of energy efficient systems based on photovoltaic modules. An analysis was made of methods to improve efficiency in the case of weather in Vietnam on a sunny summer day for photovoltaic modules. The results show that the efficiency of the proposed system is increased by 27.91%, 23.30% and 4.95% compared to the PV module, respectively, with a fixed tilt system, a water-cooled system, and a solar tracking system. The simulation results can serve as a prerequisite for future experimental models.

Keywords: Photovoltaic module, thermoelectric model, solar tracking, water cooling, efficiency, fuzzy logic

The paper describes the composition of a wireless sensor network for agricultural purposes, including a sensor node, an actuator node and a coordinator node. Based on the IEEE 802.15.4 standard, a hybrid network architecture with node synchronization via a time slot mechanism is proposed. The WSN model is proposed, which includes the forming functions of nodes, which makes it possible to abandon the matrix of energy characteristics and describe the elements of the network in a simplified form.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, wireless node architecture, wireless network parameters, network model

The paper proposes a hybrid method of packet routing in a wireless sensor network based on a genetic algorithm that allows you to build a routing table taking into account restrictions on the maximum number of transmissions through each node of the network and, as a result, increase its energy efficiency. The results of experimental studies on BSS with a random configuration of nodes in space are presented and it is shown that the congestion of data packet relay nodes is reduced by 30-40% with an increase in the total length of routes by 10%.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, packet routing, energy efficiency of a wireless network, network model

The aim of the work is to increase the productivity of the iron ore concentrate dehydration process. In the course of previous research, an automated system with individual control of each vacuum filter technological parameters was developed. In this paper, it is proposed to supplement this system of an extreme step regulator hybrid intelligent control unit. A structural and functional scheme and an algorithm for the functioning of the control system have also been developed. The implementation of the developed control system will improve the productivity of the vacuum filter, reduce the wear of the actuators, reduce the specific consumption of energy resources used, and save the financial resources of the enterprise. The proposed control system can be adapted for a large class of technological units of a similar principle of operation used in various industries.

Keywords: iron ore concentrate dehydration, disk vacuum filter, artificial neural network, fuzzy neural network, automated control system, individual regulation, extreme regulator, vacuum, pulp density, vacuum filter productivity sludge moisture

Tests to determine the seismic stability of elements of pipeline systems, in particular pipeline fittings, are included in the list of those necessary to confirm the operability of the element. In this study, a stand was developed for testing to determine the seismic stability of butterfly check valves, which are a type of pipeline fittings. A finite element analysis was carried out, data on maximum deformations, stresses and displacements of structural elements were obtained, and the response of the installation table to seismic impact was calculated. The resulting displacement values of the table structure do not exceed the limit values specified by the technical requirements and do not lead to distortion of the structure or destruction of joints, which makes it possible to move from design to manufacturing and commissioning of the stand.

Keywords: vibration tests, seismic resistance test bench, pipeline, pipeline valves, swing back gate, mathematical modeling, finite element method, strength calculation, simulation modeling, stress-strain state

In this experiment, a solver (NEAT) and a simulator (an inverted pendulum cart object) are implemented, where the solver will influence the object in order to keep it in a stable state, i.e. don't let the pendulum fall. The main objective of the experiment is to study the possibility of implementing a simulator of a real physical object and use it to determine the target function of the neuroevolutionary algorithm NEAT. Solving this problem will make it possible to implement controllers based on the NEAT algorithm, capable of controlling real physical objects.

Keywords: machine learning, non-revolutionary algorithms, genetic algorithms, neural networks

This article discusses the theoretical and practical aspects of controlling a frequency converter through a programmable logic controller, and also analyzes the main methods and technologies used in analyzing the operating time of a controlled asynchronous motor. The possibility of organizing remote and multiple control of several frequency converters from one PLC (programmable logic controller) in large production areas is considered. If complex control with the exchange of large amounts of data, diagnostics and monitoring of drive operation in real time has been analyzed, it is preferable to use the RS-485 interface, which allows integration with more complex automation systems that require software control of various parameters.

Keywords: industrial controllers, frequency converter, analog control

The advantages of simulation models are presented. A computer simulation model of an automated warehouse is considered and a solution to the model optimization problem of warehouse management is given. The model is implemented in the AnyLogic system using multi-agent modeling tools. These models can be used for clustering.

Keywords: modeling, simulation, digital twin, inventory management, AnyLogic, clustering

Multi motor electric drives are the systems, in which the torques from two or more motors are summarized. This summarisation may be done direct on common output shaft of indirect, for example, on the common load through individual transmiisions. In such a systems the problem of common torque distribution among motors exists. Usually this problem is being solved by equal distribution of torques among motors. There are some ways to achieve equal torques. One of them is overlaping of mechanical characteristics of motors by influencing separatly to the hardness and the speed of mechanical charecteristic of motor.

Keywords: multimotor drive, load equalization, automatic control, mechanical characteristic, mathematical description of load distribution, load distribution observing