Parallelization Applied to the Synthesis Methodology and Operation of Complex Systems Based on the Analysis and Modelling of their Physical and Chemical Processes

Starostin, I. E.; Khalyutin, Sergey P.; Altoukhov, A. V.; Davidov, Albert O.

doi:10.1109/piere51041.2020.9314638

Cited by 6 publications

(20 citation statements)

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“…The processes dynamics equations system of different physical and chemical nature in an investigated system as a physical and physico-chemical processes block diagram, as well as more complex subsystems (model-oriented approach) [8,9,28]. The specified parameters of the dynamics of processes in the system are included in such block diagrams [9,28].…”

Section: Implementation Of the Processes Dynamics Equations Systemmentioning

confidence: 99%

“…• composite subsystems, including mechanical subsystems, electrical and magnetic circuits, physical and chemical subsystems, as well as complex subsystems (in turn, including the mentioned subsystems) [9].…”

Section: Introductionmentioning

confidence: 99%

“…The described methods for constructing systems of equations for the dynamics of processes in complex systems (and the dynamics of subsystems of complex systems) allow us to synthesize a system of equations for the dynamics of processes in the system under consideration, for the numerical implementation of which it is necessary to have experimentally studied parameters of the dynamics of processes in the system [1 -8, 10]: constant coefficients of this model of processes, the initial state of the system, unknown external influences. The resulting system of equations must be supplemented with equations for the observed and controlled parameters of the system [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…In order to use this system of equations to solve practical problems of system development (synthesis of optimal structure and selection of optimal parameters [11 -14]) in accordance with the specified requirements [11,12], as well as the tasks of operating these systems (synthesis of the control system [15], diagnostics and forecasting of the technical condition [12,16], analysis of the system reliability [12,16,17], development of the system maintenance methodology [17]), it is necessary to transform the resulting system of equations of process dynamics in such a way that only the observed and controlled parameters remain in the resulting system of equations [9,10]. As a result of this transformation (in general, by numerical and analytical methods [10,[18][19][20], which consists in calculating the dynamics of the observed and controlled parameters of the system under study for various randomly set parameters of the processes dynamics in this system and further approximating the model of the system under study on a set of the observed and controlled parameters dynamics [10,18,19]), the relationship between the controlled parameters of the system and the observed parameters is obtained with accuracy to the control parameters (obtained from the test results of the considered system and laboratory systems) [10].…”

Section: Introductionmentioning

confidence: 99%

“…As can be seen from the above, the formation of a system model is quite a time-consuming process [9,10,18,19]. This leads to the need for software implementation of the presented methodology for creating a digital portrait, which includes multiprocessor and multicomputer parallelization [9,19,27].…”

Section: Introductionmentioning

confidence: 99%

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Distributed computing system for creating digital portraits of complex systems

Starostin

Khalyutin²,

Pavlova

et al. 2021

MATEC Web Conf.

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Various methods of operation of complex transport systems imply knowledge of mathematical models of their components. To obtain adequate models of such components, it is necessary to take into account the physical and chemical processes occurring in them. Previously, the authors developed a potential-flow method within the framework of modern nonequilibrium thermodynamics – a unified approach to the analysis and modeling of processes of various physical and chemical nature. In accordance with this approach, as well as with the methods of mechanics, the theory of electric and magnetic circuits, electrodynamics, etc., state functions for the properties of substances and the processes under consideration are set up to the experimentally studied constant coefficients. The system of equations of the considered processes dynamics is obtained from the given state functions. The desired model (digital portrait) of the considered component is constructed by numerical-analytical transformation of the dynamic equations system based on the use of experimental data. The need to automate the proposed method of obtaining digital portraits is due to its complexity and the need to process a large amount of data. An information and computing system is proposed, which implies the construction of a block diagram of the processes in the component under consideration (model-oriented approach). Modeling these processes using a block diagram at different values of unknown parameters allows us to approximate the model (digital portrait) a component based on the resulting set of output characteristic dynamics using machine learning libraries. Process modeling and further approximation of the model is parallelized. This paper is devoted to a distributed information-computing system that implements the creation of various complex systems digital portraits.

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Section: Implementation Of the Processes Dynamics Equations Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%