At processing units of beneficiation plants, management and control over ore concentrate producti... more At processing units of beneficiation plants, management and control over ore concentrate production process is performed by an operator working from the automated work station. The operator sets the parameters of the equipment operation intuitively, based on the experience and the provisions of the manufacturing specification for ore concentrate production. The complexity of setting the equipment parameters is conditioned by the necessity to take into account simultaneously a great number of factor (such as: base ore quality, equipment integrity, basic ore availability and others). The paper suggests increasing the efficiency of managerial decisions by means of implementing intellectual add-in to the existing automated control system. The add-in is realized in the form of assistant system, based on the optimization mathematical model of control over ore concentrate production process. The suggested approach based on the information about the technological process enables conducting assessment of the controlled factors effects on iron-ore concentrate qualitative characteristics and energy consumption. It allows the user of the system-adviser to choose options for adjustment of the controlled parameters of a technological process to optimize it according to one or several criteria. Practical implementation of the suggested approach within the framework of the existing automated control system will allow the operator to receive recommendations about the correction of a control parameter of the technological equipment operation regimes in the real time and on the basis of the current (factual) values of the section parameters in crushing-and-preparation plants on the basis of the chosen by the user technical or techno-economic optimization criteria.
2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017
This article describes the automated control systems of steam boiler modes at the electric power ... more This article describes the automated control systems of steam boiler modes at the electric power plant applying the criterion of using the minimum natural gas amount. This system is based on the electric power station the steam boilers of which operate using a mixture of fuel gases with unstable characteristics and which generate steam for the entire steam supply line. In this system, one of the most significant aspects is the subsystem of the combustion rate control designed for sustaining the preset steam consumption rate at the boiler's exit. This subsystem is reviewed together with the steam pressure controller in the main steam pipe. The combustion rate controller operates basing upon the heat absorption efficiency impulse. This impulse represents a sum of steam consumption impulses from the boiler and the velocity of change in the boiler drum pressure. The signal output of the combustion rate controller impacts the control valve of natural gas. Studies have been conducted on combustion rate controllers at steam boilers of the electric power plant. These studies proved the controller's efficiency.
2018 International Russian Automation Conference (RusAutoCon), 2018
The article suggests an approach to energy-saving control of street lighting based on the Smart G... more The article suggests an approach to energy-saving control of street lighting based on the Smart Grid concept. An energy-saving effect is largely achieved through the round-the-clock luminary dimming. To determine the efficient dimming levels, the paper offers the automated system for model-predictive control of outdoor lighting. Luminary dimming modes are corrected depending on the natural lighting conditions and special requirements for lighting depending on the time of the day according to the actual road lighting and traffic intensity data.
Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; s... more Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; shnayder@ait.susu.ac.ru. Shnayder Dmitry Alexandrovich - PhD, assistant professor of the Automation and control department of SUSU; shnayder@ait.susu.ac.ru. Абдуллин Вильдан Вильданович — аспирант ЮУрГУ; vildan@ait.susu.ac.ru. Abdullin Vildan Vildanovich - postgraduate student of SUSU; vildan@ait.susu.ac.ru. Басалаев Александр Анатольевич - студент ЮУрГУ; sasha-basalaev@mail.ru. Basalayev Alexander Anatolyevich — student of SUSU; sasha-basalaev@mail.ru
This article describes an approach to operations analysis of quality and efficiency fac tors of ... more This article describes an approach to operations analysis of quality and efficiency fac tors of buildings heat supply systems. A set factors on base of which estimation will be pro duced is described. Quality and efficiency factors describing conditions are formulated in form of inequalities. Data analyse system structure is suggested, what is done taking into ac count integration with automated energy supply billing systems.
Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; s... more Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; shnayder@ait.susu.ac.ru Крахмалев Евгений Игоревич - аспирант кафедры автоматики и управления ЮУрГУ; christian_e@raail.ru Shnayder Dmitry Aleksandrovich - PhD, assistant professor of Automation and Control Department of SUSU; shnayder@ait.susu.ac.ru Krakhmalyov Evgeny Igorevich - postgraduate student of Automation and Control Department of SUSU; christian_e@mail.ru
2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2018
The work considers the method to enhance the blast furnace efficiency based on the self-organizin... more The work considers the method to enhance the blast furnace efficiency based on the self-organizing Kohonen neural networks for the cluster analysis of the process operating parameters. The developed method allows building the blast-furnace process characteristics considering their non-linear nature and interaction of controlling factors. The mathematical relations for basic performance characteristics of the blast-furnace process were obtained which are employed for calculating the controlling actions. The developed relations complement the existing methods for the blast furnace process designing based on actual operational data. The approach to developing the expert system based on the Kohonen neural networks was suggested allowing the blast furnace foreman to analuze the blast-furnace process condition and decide on its adjustment to improve the efficiency.
2017 Intelligent Systems Conference (IntelliSys), 2017
This research proposes a method of blast furnace control based on criteria of increased productiv... more This research proposes a method of blast furnace control based on criteria of increased productivity and lowers coke consumption. The method employs model-predictive control technology. Herewith constructing the model of the blast furnace process involves real-time operating regime data. Model-building assumes two approaches for clustering of operating parameters values using criteria of blast furnace efficiency. The first one uses elliptic surfaces. The second employs self-organizing Kohonen networks. Moreover when having the lack of informative measurements data the solution of the first task is used to normalize the solution of the second task. The research sets and solves the problem of real-time optimization of the blast furnace regime parameters.
2019 IEEE Russian Workshop on Power Engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI), 2019
The paper considers a method for rate setting of service water consumption by a metallurgical pla... more The paper considers a method for rate setting of service water consumption by a metallurgical plant with account to the grade range of the main product output. The service water consumption rate is determined by developing the effective rated characteristics. The characteristics represent the dependence describing water consumption under the actual equipment operating conditions and technological process organization. When developing the characteristics, the higher the data significance stands for the lower the water consumption. Therefore the effective rating characteristics tends to the indications with a lower water consumption. In the absence of metering instruments, design or calculated data obtained based on the mathematical model of the water supply system of a plant are used instead of actual water consumption data. To identify the rated characteristics, two types of water consumption indicators were considered: the absolute water consumption volume, the specific water consu...
The problem of energy saving in outdoor lighting systems is important, as they consume a signific... more The problem of energy saving in outdoor lighting systems is important, as they consume a significant part of electricity used by the city economy. An approach to the energy-efficient adaptive control of street lighting proposed in this article enables reduction of outdoor lighting electricity consumption by dimming of light lines and individual lighting fixtures. The adaptive lighting control model makes it possible to modify the dimming time dependency curve in real time based on roads’ actual luminance readings. The result of application of this model is a considerable decrease of power consumption while ensuring a required level of luminance. The energy savings achieved by reducing the costs of lighting also leads to lessened CO2 due to electric power generation.
Abstract— This paper proposes a new structure of heating feed-forward control system for multi-st... more Abstract— This paper proposes a new structure of heating feed-forward control system for multi-storey buildings based on indoor air temperature inverse dynamics model. The suggested model enables real-time assessment of the impact of perturbing factors that cannot be directly measured on indoor air temperature with due allowance for lag and nonlinear nature of thermohydraulic processes involved in the building heating cycle. To measure current indoor air temperature values, the authors used a distributed field-level sensor network. This paper contains the results of identification for the formulated model, as well as a calculation of energy savings after deployment of heating control system in the academic building of South Ural State University in accordance with International Performance Measurement and Verification Protocol (IPMVP).
An innovative approach to managing of building heating systems based on wireless sensor networks ... more An innovative approach to managing of building heating systems based on wireless sensor networks is proposed. Main feature of the management problem is that the number of temperature conditions for each network sensor significantly outnumbers heat supply controllers and actuating devices. The management problem is formulated for big measurement data with limited number of control actions. From mathematical point of view the problem may be defined as inconsistent inequalities solution. An algorithm based on branch and bounds method is proposed for solving the problem in real time. The algorithm allows determining global maximum of attained temperature conditions. A distributed heat supply management system based on wireless sensor networks for university campus of the South Ural State University is considered. The campus contains 35 administrative buildings and dormitories, water pool, sports complex with energy supply by different sources including CHP. It is demonstrated that senso...
This paper provides a review of a solution proposed to the problem of identification of room ther... more This paper provides a review of a solution proposed to the problem of identification of room thermal comfort conditions in buildings using indoor temperature wireless sensor networks as based on the schedule indicator functions for possible perturbances. The authors proposed an indoor temperature assessment model which uses only 3 types of temperature indicators for identifying the dynamic characteristics of room thermal comfort conditions: the supply heat medium temperature which is controlled by a weather controller, the outdoor temperature and the indoor temperature. The effect of the outdoor temperature is considered by the model that it uses the following 2 relevant factors: the heat transfer through walls of the building and the infiltration. The effect of insolation and heat radiation from the objects and people located indoors is taken into account for the model computation using their hourly influence schedule without any direct measurement of the power of these factors. Gi...
Abstract—This work examines the identification of a mathematical model of the thermal performance... more Abstract—This work examines the identification of a mathematical model of the thermal performance of a building, based on experimental data available for direct measurement. The authors offer a new model structure with a reduced number of parameters. An identification method based on building an inverse dynamics model that uses exponential filtration is considered. The method makes it possible to estimate signals that cannot be measured directly: the signal of the general perturbation of the indoor air temperature and the signal of specific heat loss through the building envelope. A simulated example is given of identifying the thermal performance of a building based on test data using VisSim visual modeling software. The identification method offered in the article may be used in engineering calculations for designing automatic control systems and in predictive control algorithms for heating buildings.
Abstract Hereby we examine solution of the problem of the complex hydraulic networks dispatching ... more Abstract Hereby we examine solution of the problem of the complex hydraulic networks dispatching control at alternating loads using a signal-oriented macromodel. The presented model allows to promptly solve inverse problems of dynamic networks, appearing in determination of additional resources delivery volume, necessary for correction uncontrolled load level alternation and stabilizing resources transmission to consumers. The problem of identification, which consists of network elements resistance and conductivity values adjustment in accordance with real-time data of flows' parameters measurement in a network is considered in this work. As an example we present the macromodel of OJSC Magnitogorsk Iron and Steel Works industrial site's steam and heat supply system (Magnitogorsk, Russia). The results for the current macromodel's operational test prove that macromodel has enough of modeling accuracy for practical use.
2020 Global Smart Industry Conference (GloSIC), 2020
A modern approach to MRO at an industrial enterprise will undoubtedly call for implementation of ... more A modern approach to MRO at an industrial enterprise will undoubtedly call for implementation of a fully functional predictive strategy. The data for predictive algorithms may be sourced from wireless sensors. These sensors need to be installed on critical pieces of equipment to be then integrated into the sensor network. The IIoT is the technology used to run this as a system. Analysis of the existing wireless data transmission technologies undertaken as part of this research has shown that the solutions commercially available nowadays do not fully meet the requirements set for data acquisition in predictive MRO management systems. South Ural State University experts, in conjunction with the University’s partner companies, have developed a proprietary wireless communication technology, as well as some industrial field devices intended for operation with this technology at the core. This paper describes the concept of this technology, results of the transmission and coverage range t...
At processing units of beneficiation plants, management and control over ore concentrate producti... more At processing units of beneficiation plants, management and control over ore concentrate production process is performed by an operator working from the automated work station. The operator sets the parameters of the equipment operation intuitively, based on the experience and the provisions of the manufacturing specification for ore concentrate production. The complexity of setting the equipment parameters is conditioned by the necessity to take into account simultaneously a great number of factor (such as: base ore quality, equipment integrity, basic ore availability and others). The paper suggests increasing the efficiency of managerial decisions by means of implementing intellectual add-in to the existing automated control system. The add-in is realized in the form of assistant system, based on the optimization mathematical model of control over ore concentrate production process. The suggested approach based on the information about the technological process enables conducting assessment of the controlled factors effects on iron-ore concentrate qualitative characteristics and energy consumption. It allows the user of the system-adviser to choose options for adjustment of the controlled parameters of a technological process to optimize it according to one or several criteria. Practical implementation of the suggested approach within the framework of the existing automated control system will allow the operator to receive recommendations about the correction of a control parameter of the technological equipment operation regimes in the real time and on the basis of the current (factual) values of the section parameters in crushing-and-preparation plants on the basis of the chosen by the user technical or techno-economic optimization criteria.
2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017
This article describes the automated control systems of steam boiler modes at the electric power ... more This article describes the automated control systems of steam boiler modes at the electric power plant applying the criterion of using the minimum natural gas amount. This system is based on the electric power station the steam boilers of which operate using a mixture of fuel gases with unstable characteristics and which generate steam for the entire steam supply line. In this system, one of the most significant aspects is the subsystem of the combustion rate control designed for sustaining the preset steam consumption rate at the boiler's exit. This subsystem is reviewed together with the steam pressure controller in the main steam pipe. The combustion rate controller operates basing upon the heat absorption efficiency impulse. This impulse represents a sum of steam consumption impulses from the boiler and the velocity of change in the boiler drum pressure. The signal output of the combustion rate controller impacts the control valve of natural gas. Studies have been conducted on combustion rate controllers at steam boilers of the electric power plant. These studies proved the controller's efficiency.
2018 International Russian Automation Conference (RusAutoCon), 2018
The article suggests an approach to energy-saving control of street lighting based on the Smart G... more The article suggests an approach to energy-saving control of street lighting based on the Smart Grid concept. An energy-saving effect is largely achieved through the round-the-clock luminary dimming. To determine the efficient dimming levels, the paper offers the automated system for model-predictive control of outdoor lighting. Luminary dimming modes are corrected depending on the natural lighting conditions and special requirements for lighting depending on the time of the day according to the actual road lighting and traffic intensity data.
Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; s... more Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; shnayder@ait.susu.ac.ru. Shnayder Dmitry Alexandrovich - PhD, assistant professor of the Automation and control department of SUSU; shnayder@ait.susu.ac.ru. Абдуллин Вильдан Вильданович — аспирант ЮУрГУ; vildan@ait.susu.ac.ru. Abdullin Vildan Vildanovich - postgraduate student of SUSU; vildan@ait.susu.ac.ru. Басалаев Александр Анатольевич - студент ЮУрГУ; sasha-basalaev@mail.ru. Basalayev Alexander Anatolyevich — student of SUSU; sasha-basalaev@mail.ru
This article describes an approach to operations analysis of quality and efficiency fac tors of ... more This article describes an approach to operations analysis of quality and efficiency fac tors of buildings heat supply systems. A set factors on base of which estimation will be pro duced is described. Quality and efficiency factors describing conditions are formulated in form of inequalities. Data analyse system structure is suggested, what is done taking into ac count integration with automated energy supply billing systems.
Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; s... more Шнайдер Дмитрий Александрович - канд. техн. наук, доцент кафедры автоматики и управления ЮУрГУ; shnayder@ait.susu.ac.ru Крахмалев Евгений Игоревич - аспирант кафедры автоматики и управления ЮУрГУ; christian_e@raail.ru Shnayder Dmitry Aleksandrovich - PhD, assistant professor of Automation and Control Department of SUSU; shnayder@ait.susu.ac.ru Krakhmalyov Evgeny Igorevich - postgraduate student of Automation and Control Department of SUSU; christian_e@mail.ru
2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2018
The work considers the method to enhance the blast furnace efficiency based on the self-organizin... more The work considers the method to enhance the blast furnace efficiency based on the self-organizing Kohonen neural networks for the cluster analysis of the process operating parameters. The developed method allows building the blast-furnace process characteristics considering their non-linear nature and interaction of controlling factors. The mathematical relations for basic performance characteristics of the blast-furnace process were obtained which are employed for calculating the controlling actions. The developed relations complement the existing methods for the blast furnace process designing based on actual operational data. The approach to developing the expert system based on the Kohonen neural networks was suggested allowing the blast furnace foreman to analuze the blast-furnace process condition and decide on its adjustment to improve the efficiency.
2017 Intelligent Systems Conference (IntelliSys), 2017
This research proposes a method of blast furnace control based on criteria of increased productiv... more This research proposes a method of blast furnace control based on criteria of increased productivity and lowers coke consumption. The method employs model-predictive control technology. Herewith constructing the model of the blast furnace process involves real-time operating regime data. Model-building assumes two approaches for clustering of operating parameters values using criteria of blast furnace efficiency. The first one uses elliptic surfaces. The second employs self-organizing Kohonen networks. Moreover when having the lack of informative measurements data the solution of the first task is used to normalize the solution of the second task. The research sets and solves the problem of real-time optimization of the blast furnace regime parameters.
2019 IEEE Russian Workshop on Power Engineering and Automation of Metallurgy Industry: Research & Practice (PEAMI), 2019
The paper considers a method for rate setting of service water consumption by a metallurgical pla... more The paper considers a method for rate setting of service water consumption by a metallurgical plant with account to the grade range of the main product output. The service water consumption rate is determined by developing the effective rated characteristics. The characteristics represent the dependence describing water consumption under the actual equipment operating conditions and technological process organization. When developing the characteristics, the higher the data significance stands for the lower the water consumption. Therefore the effective rating characteristics tends to the indications with a lower water consumption. In the absence of metering instruments, design or calculated data obtained based on the mathematical model of the water supply system of a plant are used instead of actual water consumption data. To identify the rated characteristics, two types of water consumption indicators were considered: the absolute water consumption volume, the specific water consu...
The problem of energy saving in outdoor lighting systems is important, as they consume a signific... more The problem of energy saving in outdoor lighting systems is important, as they consume a significant part of electricity used by the city economy. An approach to the energy-efficient adaptive control of street lighting proposed in this article enables reduction of outdoor lighting electricity consumption by dimming of light lines and individual lighting fixtures. The adaptive lighting control model makes it possible to modify the dimming time dependency curve in real time based on roads’ actual luminance readings. The result of application of this model is a considerable decrease of power consumption while ensuring a required level of luminance. The energy savings achieved by reducing the costs of lighting also leads to lessened CO2 due to electric power generation.
Abstract— This paper proposes a new structure of heating feed-forward control system for multi-st... more Abstract— This paper proposes a new structure of heating feed-forward control system for multi-storey buildings based on indoor air temperature inverse dynamics model. The suggested model enables real-time assessment of the impact of perturbing factors that cannot be directly measured on indoor air temperature with due allowance for lag and nonlinear nature of thermohydraulic processes involved in the building heating cycle. To measure current indoor air temperature values, the authors used a distributed field-level sensor network. This paper contains the results of identification for the formulated model, as well as a calculation of energy savings after deployment of heating control system in the academic building of South Ural State University in accordance with International Performance Measurement and Verification Protocol (IPMVP).
An innovative approach to managing of building heating systems based on wireless sensor networks ... more An innovative approach to managing of building heating systems based on wireless sensor networks is proposed. Main feature of the management problem is that the number of temperature conditions for each network sensor significantly outnumbers heat supply controllers and actuating devices. The management problem is formulated for big measurement data with limited number of control actions. From mathematical point of view the problem may be defined as inconsistent inequalities solution. An algorithm based on branch and bounds method is proposed for solving the problem in real time. The algorithm allows determining global maximum of attained temperature conditions. A distributed heat supply management system based on wireless sensor networks for university campus of the South Ural State University is considered. The campus contains 35 administrative buildings and dormitories, water pool, sports complex with energy supply by different sources including CHP. It is demonstrated that senso...
This paper provides a review of a solution proposed to the problem of identification of room ther... more This paper provides a review of a solution proposed to the problem of identification of room thermal comfort conditions in buildings using indoor temperature wireless sensor networks as based on the schedule indicator functions for possible perturbances. The authors proposed an indoor temperature assessment model which uses only 3 types of temperature indicators for identifying the dynamic characteristics of room thermal comfort conditions: the supply heat medium temperature which is controlled by a weather controller, the outdoor temperature and the indoor temperature. The effect of the outdoor temperature is considered by the model that it uses the following 2 relevant factors: the heat transfer through walls of the building and the infiltration. The effect of insolation and heat radiation from the objects and people located indoors is taken into account for the model computation using their hourly influence schedule without any direct measurement of the power of these factors. Gi...
Abstract—This work examines the identification of a mathematical model of the thermal performance... more Abstract—This work examines the identification of a mathematical model of the thermal performance of a building, based on experimental data available for direct measurement. The authors offer a new model structure with a reduced number of parameters. An identification method based on building an inverse dynamics model that uses exponential filtration is considered. The method makes it possible to estimate signals that cannot be measured directly: the signal of the general perturbation of the indoor air temperature and the signal of specific heat loss through the building envelope. A simulated example is given of identifying the thermal performance of a building based on test data using VisSim visual modeling software. The identification method offered in the article may be used in engineering calculations for designing automatic control systems and in predictive control algorithms for heating buildings.
Abstract Hereby we examine solution of the problem of the complex hydraulic networks dispatching ... more Abstract Hereby we examine solution of the problem of the complex hydraulic networks dispatching control at alternating loads using a signal-oriented macromodel. The presented model allows to promptly solve inverse problems of dynamic networks, appearing in determination of additional resources delivery volume, necessary for correction uncontrolled load level alternation and stabilizing resources transmission to consumers. The problem of identification, which consists of network elements resistance and conductivity values adjustment in accordance with real-time data of flows' parameters measurement in a network is considered in this work. As an example we present the macromodel of OJSC Magnitogorsk Iron and Steel Works industrial site's steam and heat supply system (Magnitogorsk, Russia). The results for the current macromodel's operational test prove that macromodel has enough of modeling accuracy for practical use.
2020 Global Smart Industry Conference (GloSIC), 2020
A modern approach to MRO at an industrial enterprise will undoubtedly call for implementation of ... more A modern approach to MRO at an industrial enterprise will undoubtedly call for implementation of a fully functional predictive strategy. The data for predictive algorithms may be sourced from wireless sensors. These sensors need to be installed on critical pieces of equipment to be then integrated into the sensor network. The IIoT is the technology used to run this as a system. Analysis of the existing wireless data transmission technologies undertaken as part of this research has shown that the solutions commercially available nowadays do not fully meet the requirements set for data acquisition in predictive MRO management systems. South Ural State University experts, in conjunction with the University’s partner companies, have developed a proprietary wireless communication technology, as well as some industrial field devices intended for operation with this technology at the core. This paper describes the concept of this technology, results of the transmission and coverage range t...
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