Кафедра "Інтернет речей"
Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/5398
Увага! Поповнення колекції кафедри "Інтернет речей" – призупинено.
Від вересня 2022 року кафедри "Інтернет речей" та "Мультимедійних інформаційних технологій і систем" об’єднані у кафедру "Мультимедійні та інтернет технології і системи".
Первісна назва кафедри – "Розподілені інформаційні системи і хмарні технології".
Переглянути
12 результатів
Результати пошуку
Публікація Conveyor belt speed control efficiency using the energy management methodology(Institute of Electrical and Electronics Engineers, Inc., USA, 2021) Pihnastyi, O. M.; Kozhevnikov, G. K.; Cherniavska, S. M.The article presents an algorithm for optimal regulation of the step speed using the energy management methodology. Methods of reducing the cost of transport costs for conveyor systems are considered. The perspectives of using the energy management methodology as a tool to reduce the cost of energy are shown. A comparative analysis of energy management tariffs has been carried out. The problem of synthesizing stepwise speed regulation is formulated taking into account the tariffs for energy management. The criterion of quality for an estimate of the effectiveness of the transition to the TOU tariff, differential links, and restrictions on control is written. The Hamilton function for the transport system was determined, on the basis of which the synthesis of an algorithm for step regulation of the conveyor belt speed was performed. To construct differential relations an analytical PDE - model of the conveyor section was used, taking into account the transport delay of the material. The efficiency of the transition was assessed and a qualitative comparative analysis of TOU tariffs was carried out based on the speed regulation algorithm. It is shown that for the effective use of the energy management methodology, a combined control system for the flow parameters of the transport conveyor is required.Документ Predicting the parameters of the output flow of conveyor systems(Institute of Electrical and Electronics Engineers, Inc., USA, 2021) Pihnastyi, O. M.; Kozhevnikov, G. K.; Ivanovska, O. V.In this article, the problem of constructing models of multi-section conveyor-type transport systems using a neural network is considered. The analysis of models of long-distance multi-section transport systems, which are used to design control systems of the flow parameters from the point of view of reducing the unit costs of material transportation, is presented. The areas of the models' application and associated limitations are demonstrated. The advantages of using neural networks for developing multi-section transport systems models are shown. The influence of the initial distribution of materials along the transport route and the presence of a transport delay in the system on the quality of prediction of the transport system flow parameters are estimated. The effect of the use of speed sensors located on the inner and output sections in order to improve the quality of prediction of the transport system flow parameters is analyzed. It is shown that the use of speed sensors in conveyors with belt speed control can significantly improve the quality of predict.Документ Analysis of Dynamic Stresses during Acceleration and Deceleration of a Conveyor Belt (Maxwell Element Model)(2021) Pihnastyi, O. M.; Kozhevnikov, G. K.; Vasyuchenko, PavelThe wave equation which allows researching the occurrence and the dynamic stress propagation in the conveyor belt is obtained for the conveyor belt, the material of which corresponds to the Maxwell element model. The boundary and initial conditions were written for power switching modes to consider the mechanical characteristics of the asynchronous engine with the phase rotor, which determine the dependencies between the traction torque and the rotational speed of an asynchronous electric engine with a phase rotor. The estimate is given to separate wave equation terms. The expression is obtained for the calculation propagation belt speed of the dynamic stress along the conveyor belt. The conditions are shown by which the wave equation will correspond to the model of Hooke’s element. By designing the dependencies between the traction torque and the rotational speed for a specified interval of the mechanical characteristic, the linear approximation is used. It is shown that the change of the material flow value coming into a section input doesn’t render a special influence on the dynamic stresses propagation process along the conveyor belt. The expressions are obtained for the dynamic stress propagation speed calculation. By deriving the wave equation it is assumed the uneven material distribution along the conveyor section.Документ Maxwell-Element Model for Describing Conveyor Belt Stresses(2021) Pihnastyi, O. M.; Kozhevnikov, G. K.; Ivanovska, O. V.The wave equation which allows researching the occurrence and the dynamic stress propagation in the conveyor belt is obtained for the conveyor belt, the material of which corresponds to the Maxwell element model. The boundary and initial conditions were written for power switching modes to consider the mechanical characteristics of the asynchronous engine with the phase rotor, which determine the dependencies between the traction torque and the rotational speed of an asynchronous electric engine with a phase rotor. The estimate is given to separate wave equation terms. The expression is obtained for the calculation propagation belt speed of the dynamic stress along the conveyor belt. The conditions are shown by which the wave equation will correspond to the model of Hooke’s element. By designing the dependencies between the traction torque and the rotational speed for a specified interval of the mechanical characteristic, linear approximation is used. It is shown that the change of the material flow value coming into a section input doesn’t render a special influence on the dynamic stresses' propagation process along the conveyor belt. The expressions are obtained for dynamic stress propagation speed calculation. By deriving the wave equation, it is assumed the uneven material distribution along the conveyor sectionДокумент Control of a Conveyor Based on a Neural Network(Institute of Electrical and Electronics Engineers, Inc., USA, 2020) Pihnastyi, O. M.; Kozhevnikov, G. K.The present study is devoted to the design of the main flow parameters of a conveyor control system with a large number of sections. For the design of the control system, a neural network is used. The architecture of the neural network is justified and the rules for the formation of nodes for the input and output layers are defined. The main parameters of the model are identified and analyzed. The data set for training the neural network is formed using the analytical model of the transport system. The criterion for the quality of the transport system is written. For the given criterion for the quality of the transport system, the Pontryagin function is defined and the adjoint system of equations is given. It allows calculating optimal control of the transport system. For calculation is used additional model of the transport system with output nodes which are controls. A graphical representation of the results of the study is given.Документ Analysis of dynamic mechanic belt stresses of the magistral conveyor(2020) Pihnastyi, O. M.; Khodusov, Valery; Kozhevnikov, G. K.; Bondarenko, TetianaControlling the amount of material flow coming from the input accumulate bunker to the input of the conveyor line and controlling the speed of the conveyor belt are common ways to reduce the energy consumption of the transport system. However, most works do not take into account transients associated with a change in the speed of the conveyor belt or a change in the input material flow. As a result of transient processes, acceleration or deceleration of the conveyor belt occurs, and as a result, dynamic stresses arise in the conveyor belt, which can exceed the permissible values. This article examines the dynamic stresses that occur during transient modes. When constructing a model of dynamic stresses, Hooke's law was used. The model of resistance to movement of the conveyor belt is adopted in accordance with DIN 22101: 2002-08. The analysis of the propagation of waves of dynamic stresses in the conveyor belt has been done. The formation of dynamic stresses as a result of the addition of the forward and backward waves is considered.Документ The dynamic model of conveyor belt stresses(2020) Khodusov, V. D.; Pihnastyi, O. M.; Kozhevnikov, G. K.The article considers the causes of dynamic stress when moving a conveyor belt with a material. The main factors of the occurrence of the dynamic resistance in the conveyor system are defined. It is demonstrated what the propagation speed of perturbations substantially depends on the loading level of the conveyor system with the material. When constructing a model of dynamic stresses, Hooke's law was used, which is an accurate approximation for most sol-id bodies, as long as the forces and deformations are small enough. The main attention in the article is given to the causes of dynamic stresses at the start of the conveyor system. When calculating the deformations, the inertia forces of the moving material and tape are taken into account. The analysis of the appearance of dynamic stresses at a constant value of the conveyor belt acceleration and the linear nature of the change in the value of the conveyor belt acceleration was carried out.Документ Effective Conveyor Belt Control Based on the Time-Of-Use Tariffs(2020) Pihnastyi, O. M.; Kozhevnikov, G. K.The paper proposes a method for constructing an algorithm for the speed control of a conveyor belt, based on the change in the price of electricity during the day. The analysis of methods for improving the energy efficiency of conveyor-type distributed transport systems is carried out. The influence of the uneven distribu-tion of material along the transportation route on the cost of transportation of a unit weight of the material is demonstrated. The advantages of using Time-Of-Use (TOU) tariffs when designing belt speed control systems for long conveyor systems are considered. The TOU periods with peak, standard and low energy consumption depending on time are presented in detail, as well as the values of the tariff coefficients for the TOU periods. The dependence of the value of the tariff coefficient on time is an essential factor that must be taken into account when designing control algorithms. When developing the control algorithm, it was assumed that the resistance to motion in accordance with DIN 22101 is de-termined on the basis of the primary friction coefficients. To describe a separate section, an analytical model of the conveyor in a dimensionless form was used. The problem of constructing an optimal algorithm for controlling the speed of a conveyor belt for a steady-state is formulated. The criterion of the quality of the control process in the conditions of using a constant amount of electricity during the day has been determined. The Pontryagin function and the conjugate system of equations are written, taking into account the uneven distribution of material along the transport route.Документ Kelvin-Voigt Model of Dynamic Stress in the Conveyors’ Belt(2020) Pihnastyi, O. M.; Kozhevnikov, G. K.The paper considers the reasons for the occurrence of dynamic stresses in a conveyor belt made of composite materials, the properties of which can be described by the Kelvin-Voigt model of an elastic element. A boundary value problem for the equation of elastic vibrations in a lightly loaded conveyor-type transport system is formulated. The dependencies determining the forces of resistance to the movement of the belt correspond to the recommendations of DIN 22101: 2002-08. An expression is presented that determines the speed of propagation of disturbances in the conveyor belt, taking into account the uneven distribution of material along the transport route. The reasons for the appearance of elastic stresses in the conveyor belt associated with the start, acceleration, deceleration and stop of the transport conveyor are demonstrated. Dimensionless parameters were introduced to analyze the causes of dynamic stresses in the conveyor belt. Similarity criteria in the dimensionless transport conveyor model make it possible to use the results obtained for similar transport systems. It is shown that the value of static stresses for lightly loaded transport systems is characterized by a linear dependence on the distance between the belt element and the drive shaft of the conveyor section. The solution of the boundary value problem defining the expression for dynamic stresses in the tape is presented. It is shown that the decay speed of the arising disturbances is inversely proportional to the value of the viscosity coefficient of the composite material, which characterizes the mechanical properties of the conveyor belt. A qualitative assessment has been made for the characteristic decay time of dynamic disturbances in a conveyor belt.Документ An Analytical Method for Generating a Data Set for a Neural Model of a Conveyor Line(Institute of Electrical and Electronics Engineers, Inc., USA, 2020) Pihnastyi, O. M.; Kozhevnikov, G. K.; Bondarenko, TetianaModels using neural networks are a rather promising class of models for designing highly efficient control systems for a dynamic distributed transport system of the conveyor type. An important problem in constructing a model of a conveyor-type transport multi-section system is the formation of a data set for training a neural network. This study discusses a method for generating data for training a neural network based on an analytical model of a conveyor-type transport system. A detailed analysis of the most common models of the transport conveyor is performed and the choice of an analytical model for the formation of a training data set is theoretically justified. An algorithm for calculating the flow parameters of individual sections of the transport system is proposed. An estimation of the transition period is given. Graphical representation of a data set for training a neural network using an analytical model of a transport system is demonstrated.