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

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

In the context of stable demand for consumer electronics, current methods of automated software testing in production often prove to be inefficient, leading to an increase in software errors. This paper examines an enhanced method of automated testing using Remote Procedure Call (RPC) and cloud technologies. The main objective of the research is to create a universal and effective system for automated software testing, capable of scaling and adapting to various platforms and libraries. The results of the experiment confirmed the possibility of integrating the described method with existing testing systems without significant modifications, ensuring a higher efficiency of the testing process and a reduction in its duration.

Keywords: automated testing, consumer electronics devices, consumer electronics, software, remote procedure call, software quality, software testing, cloud devices, software production, testing task manager

The choice of equipment of technological enterprises, especially when the characteristics of the equipment are close in values, remains an urgent task. In our work, to evaluate the effectiveness of programmable logic controllers (PLCs), a comprehensive criterion for evaluating efficiency is proposed, as well as a method for calculating it using numerical methods. To calculate the complex efficiency criterion, the values of the significant characteristics of the controllers selected by us are converted into points on a linear scale. To refine the calculation results, we applied one of the Newton-Cotes numerical methods, namely the trapezoid method. Next, we used the method of cubic interpolation of the obtained curves to increase the accuracy of calculations. The proposed method is simple and does not require a lot of calculations. At the same time, its application makes it possible to calculate complex PLC efficiency criteria based on characteristics relevant to a particular control process.

Keywords: programmable logic controller, characteristics, numerical methods, trapezoid method, cubic interpolation method, aggregation of characteristics, ABAK PLC, Siemens PLC, OWEN PLC

The quality of asphalt concrete mixture at the output of an asphalt concrete plant is unstable due to disturbances that we cannot control or control with significant delay. Disturbances may include factors such as inaccuracies in the existing relationships between the properties of asphalt concrete mixture components and the parameters of the technological process with the quality of the finished product. Disturbances can also be attributed to our lack of knowledge about the relationships between individual indicators and the quality of the mixture. Forecasting these disturbances to determine the actual quality at the output becomes a key task. Previously, determining the optimal length of data series for forecasting was a challenging task. Nowadays, with the use of modern technologies, this problem has been successfully solved. In this article, the authors propose an adaptive forecasting method to determine the optimal length of data series. The research results include forecasting error values with and without adaptation. The adaptive forecasting method demonstrated smaller values of mean absolute error (MAE) compared to the non-adaptive forecasting method (where the length of the time series is always equal to 100). This allows for more efficient and accurate prediction of cumulative disturbances, which is critically important for ensuring high and stable quality of asphalt concrete mixture.

Keywords: asphalt concrete, asphalt concrete mixture, disturbance, control system, autoregressive model, forecasting, adaptive forecasting method, optimal length of series, forecast accuracy, mean absolute error

The article presents the prerequisites for the relevance of the processing and disposal of galvanic sludge generated from industrial enterprises, which in turn occupies numerous areas of land for storage, which harms the environment. An overview of the methods of processing and disposal of electroplating waste, including physical, chemical and biological processes. Experimental studies of galvanic sludge sediment are presented. The precipitate is a mixture of crystalline CaCO3, SiO2 and an amorphous phase, which is not determined by phase analysis. Modern advanced technologies for the processing and disposal of galvanic sludge are presented.

Keywords: galvanic sludge waste, automation, control, methods, sediment thermogram

The reconfigurable systems-on-a-chip (RSoC) includes hard and soft intellectual property cores (IP-cores). Hard IP-cores are placed on the specified positions on the chip and have a predetermined functionality. Soft IP-cores are developed using the logical blocks (LB) of a field programmable gate array (FPGA) on the RSoC. Both types of IP-cores have different features. Hard IP-cores have configurations that can be programmed. Soft IP-cores use the base RSoC specialized resources. All IP-cores features must be considered at various stages of the design flow of user circuits based on the RSoC. Any modes of the RSoC IP-cores should be extracted from the functional description of the user circuit during logical synthesis. The features of the base chip architecture and specialized routing resources must be considered during placement and routing. In this paper, a software-oriented set-theoretic model of IP-cores is presented. The model makes it possible to represent IP-cores in computer-aided design (CAD) system at different stages of design flow of user circuit based on RSoC and to map architecture-independent IP-cores of a user circuit to IP-cores on the base chip. The model combines formalized representations of the base chip components, architecture-independent and architecture-dependent parameterized IP-cores for the logical synthesis, as well as IP-cores for the layout synthesis. Also, the model has several distinctive features. The first feature is the availability of the relative coordinates of the soft IP-cores elements. These coordinates allow to take into account the RSoC architectural features at the placement stage. The second feature is that an information about specialized routing resources and interconnections of the user and base circuits. This information allows to establish a correspondence between IP-core and RSoC connections regardless of the routing resources type.

Keywords: reconfigurable system-on-a-chip, intellectual property core, field programmable gate array, computer-aided design system, set-theoretic model, formalization

In this work, an experimental model of a circuit diagram with pulsating circulation of a liquid coolant in a heated circuit of a plate heat exchanger was assembled and tested. As a result of hydraulic and energy calculations of the circuit, the optimal parameters for flow, pressure, and temperature of the coolant were selected at maximum efficiency of the impact unit. It has been established that with an increase in the operating frequency of the impact unit, the heat transfer coefficient of the heat exchanger first decreases and reaches a minimum of 452.47 W/(m2*0C) at a frequency of 0.5 Hz, and then begins to increase and reaches a maximum of 482.31 W/(m2* 0C) at a frequency of 2 Hz, after which it gradually decreases. It has also been experimentally established that the temperature at the outlet of the heat exchanger of the heated circuit increases with increasing frequency of the shock unit and reaches a maximum at a frequency of 2 Hz, after which it begins to gradually decrease. It has been established that the change in temperature at the outlet of the heat exchanger of the heated circuit exceeds the change in temperature at the outlet of the heat exchanger of the heating circuit at operating frequencies above 1 Hz, which is due to the stronger influence of cavitation at these frequencies.

Keywords: heat exchanger, heat transfer coefficient, impact unit, frequency, heat transfer

This scientific article examines the application of artificial intelligence and machine learning in the textile industry with an emphasis on the automation of the design of weaving weaves. The article discusses research and approaches using neural networks, genetic algorithms, deep learning methods and computer vision to create, optimize and analyze weaves. The main attention is paid to the comparison of existing software solutions that allow automating the design process and significantly improving its productivity, accuracy and quality. The importance of integrating AI and machine learning into the textile industry is emphasized, as this opens up new opportunities for automating processes, improving product quality and increasing the competitiveness of the textile industry at the global level.

Keywords: automation, modern systems, design technologies, computer-aided design, information systems, software, fabric drawings, computer-aided design of weaving patterns, innovations in the textile industry, process optimization, digitalization

The work is aimed at modeling the control system of a slitting machine of a paper machine in order to improve the quality of products and eliminate defects in winding density. The developed automated system implements the functions of controlling the operating modes of the machine, distributing the loads of the bearing shafts, braking the roll and tensioning the paper web.

Keywords: slitting machine, paper machine, automated control system, rewinder, pressure roller, decoiler, reeler, accelerating shaft, deflecting shaft, cutting section

Computer-based training is one of the most effective tools to reduce accidents in electric power industry. This paper presents the history of development of dispatch personnel simulator technology, from aviation simulators of the mid-20th century to traditional simulators, which finally formed in the late 1990s and the currently developing concept of intelligent simulators. The basic milestones and stages are considered. The authors present the actual problems of the simulator construction, which are the drivers of further development of this technology.

Keywords: dispatch training simulator, DTS, power system personnel training, power system simulation, computer simulation, element management system, EMS

This article discusses the theoretical and practical aspects of remotely connecting a user to an automation system controller, as well as analyzes the main methods and technologies used in this process.

Keywords: industrial controllers, remote connection to the controller, Modbus TCP

The dynamic system of the grinding machine is simulated, taking into account tool wear. The purpose of the simulation is to improve the algorithmic support of an active control microprocessor device. The vibration characteristics of the SIW-5 machine ring support have been studied at idle and during processing to determine the vibration level at the moment when the grinding wheel touches the workpiece. An algorithm for maintaining the cutting speed with a decrease in the diameter of the circle due to wear has been developed and modeled. characteristics of the ring support of the SIW-5 machine at idle and during processing for the development of algorithms for controlling the grinding process.

Keywords: grinding, bearing rings, active control, mathematical model of grinding, algorithmic support

In this paper we proposed a method for quantifying the total efficiency of programmable logic controllers from various manufacturers. The correct assessment makes it possible to select a programmable logic controller (PLC) as part of the implementation of the import substitution policy with a domestic product of devices from competing companies that have left the Russian market. The solution of the problem is carried out by the introduction of a linear rating scale for the selected characteristics of the PLC. Quantitative assessment of the qualitative characteristics of PLCs made it possible to obtain the value of the total efficiency for the PLCs considered in the work. Total efficiency is understood as a comprehensive assessment of the effectiveness of a programmable logic controller according to the selected characteristics. In this case, the characteristics may be of a different nature. We evaluated programmable logic controllers of four manufacturers: Siemens, Yokogawa, OWEN, ABAK. Seven characteristics of the PLC were selected for evaluation: mean time between failures, number of interfaces and plug-ins, power consumption, temperature range, number of protocols used, and response speed. The possibility of implementing the import substitution policy is considered. The assessment of the total efficiency confirmed the competitiveness of domestic PLCs in relation to foreign ones. The development of the presented evaluation method will make it possible to analyze the effectiveness of complex, large control systems made up of different types of equipment. The presented method can be used over time to obtain up-to-date information about the total efficiency.

Keywords: programmable logic controller, evaluation parameters, qualimetry, total efficiency, import substitution

Elimination of the consequences of emergencies during rescue operations will be successful with the use of reliable modular lifting equipment. The proposed concept of the mobile equipment system contributes to the use of layer-by-layer dismantling of the rubble of destroyed multi-storey buildings and structures. The main structural elements of the system of mobile lifting equipment are presented.

Keywords: earthquakes and disasters, mobile equipment, lifting device, time minimization, modular device

Models of open-loop and closed-loop systems for automatic control of air supply to a steam boiler are constructed. An open-loop system is modeled and, on its basis, a closed-loop system with a PI controller tuned to the optimum modulo is developed. The introduction of a frequency converter into the control system for more economical and gentle operation of the fan electric drive is considered. The developed system consists of models of a controller, a frequency converter, an asynchronous motor and a blower fan. The simulation results are presented, demonstrating the operability of the resulting system in compliance with the requirements for stability and speed. The modernized closed system has a number of advantages over the existing open one, and the described method of its construction can be applied when implemented at enterprises using air blowers.

Keywords: automatic pressure control system, automatic control system, closed system, open system, PI controller, modular optimum

Currently, crop production faces such problems as a decrease in soil quality, untimely detection of weeds, pests and diseases of cultivated crops, irrational use of fertilizers, pesticides, and water resources. This leads to an increase in production costs due to overspending of resources (fertilizers, pesticides, and water) and a shortage of crops due to inefficient decision-making in conditions of limited information, which causes the need for the introduction of innovative intellectual solutions in the cultivation of crops. Internet of Things (IoT) technologies have significant potential for a solution to the above problem. However, to date, these technologies have not been widely used, even in countries with a high level of information and communication technology development. The purpose is to identify the factors limiting the development of the Internet of Things in crop production and to determine ways to solve the identified problems. It is shown that the limiting factor in the development of the Internet of Things in crop production is the need to install a significant number of heterogeneous sensors, the lack of Internet and mobile communications in remote areas, as well as, in some cases, the problem of organizing effective data transfer from sensors to platforms for storage, processing, and analysis, or commands in the opposite direction to actuators. In crop production, an Internet of Things technology can be realized through the use of unmanned aerial vehicles as an IoT device and as communication technologies.

Keywords: Internet of Things, structure, informational management system, unmanned aerial vehicle, crop production

The article is devoted to the consideration of topical issues related to the study of the possibility of forecasting the dynamics of stock markets based on neural network models of machine learning. The prospects of applying the neural network approach to building investment forecasts are highlighted. To solve the problem of predicting the dynamics of changes in the value of securities, the problems of training a model on data presented in the form of time series are considered and an approach to the transformation of training data is considered. The method of recursive exclusion of features is described, which is used to identify the most significant parameters that affect price changes in the stock market. An experimental comparison of a number of neural networks was carried out in order to identify the most effective approach to solving the problem of forecasting market dynamics. As a separate example, the implementation of regression based on a radial-basis neural network was considered and an assessment of the quality of the model was presented.

Keywords: stock market, forecast, daily slice, shares, neural network, machine learning, activation function, radial basis function, cross-validation, time series

The article discusses the use of graph theory to calculate the location of elements and ways of laying information cables in a distributed control system. It describes how the use of graph theory can help improve system performance, reduce maintenance costs, and increase reliability and security. The article presents the general principles of using graph theory to solve problems related to the location of elements and paths for laying information cables in distributed control systems. The authors conclude that the use of graph theory is a powerful tool for solving problems associated with distributed control systems, and can be effectively applied to improve the efficiency of the system, reduce costs and increase reliability and security.

Keywords: graph theory, distributed control system, Python, Matplotlib, production process optimization, automatic analysis, control system, data cable, automation

The aim of this work is the implementation and comparison of genetic algorithms in the framework of the problem of reinforcement learning for the control of unstable systems. The unstable system will be the CartPole Open AI GYM object, which simulates the balancing of a rod hinged on a cart that moves left and right. The goal is to keep the pole in a vertical position for as long as possible. The control of this object is implemented using two learning methods: the neuroevolutionary algorithm (NEAT) and the multilayer perceptron using genetic algorithms (DEAP).

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