Control of mathematical modeling process of dynamics of harmful substances concentrations on the basis of ontological approach

Author:

Dyvak MykolaORCID, ,Melnyk AndriyORCID,Pukas AndriyORCID,Dostalek LiborORCID, , ,

Abstract

The problem of building a mathematical model of the dynamics of nitrogen dioxide concentrations at different parts of the city is considered in the paper. The peculiarities of the construction of such models on the basis of periodic measurement of concentrations of harmful substances and identification on the basis of the measurements obtained are considered. This paper also proposes an ontological approach as a control tool that greatly simplifies the systematic standardized methods of the models storage, the process of their construction and appropriate usage in practice. The use of the ontological model allows formalizing the process of obtaining, storing and using relevant knowledge and is suitable for more intelligent systems, such as identification of obviously erroneous solutions based on the model, predictive control of the model, optimization of the decision-making process based on knowledge and modeling of an appropriate technological flow chart. This paper also describes the features of the construction of the corresponding ontological model, the pattern of choice of a nonlinear model with "switching" to different conditions. Relevant experimental studies have also been conducted to confirm the effectiveness of the proposed approach.

Publisher

Lviv Polytechnic National University

Subject

General Medicine

Reference16 articles.

1. 1. M.Dyvak, N.Porplytsya, and Y.Maslyiak, "Modified Method of Structural Identification of Interval Discrete Models of Atmospheric Pollution by Harmful Emissions from Motor Vehicles", in Proc. Advances in Intelligent Systems and Computing IV. CSIT 2019, vol 1080. Springer, Cham. 2020. https://doi.org/10.1007/978-3-030-33695-0_33.

2. 2. M. Dyvak, N. Porplytsya; and I. Borivets, and M.Shynkaryk, "Improving the computational implementation of the parametric identification method for interval discrete dynamic models". in Proc. 12th International Scientific and Technical Conference on Computer Science and Information Technologies (CSIT), Lviv, Ukraine, 5-8 September 2017; pp. 533-536, doi: 10.1109 / STC-CSIT.2017.809884

3. 3. M. Dyvak, Y. Maslyiak and A. Pukas, "Information Technology for Modeling of Atmosphere Pollution Processes by Motor Vehicle Harmful Emissions," in Proc. IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), pp. 1-5, 2019. doi: 10.1109 / CADSM.2019.8779268.

4. 4. Mykola Dyvak, Parameters Identification Method of Interval Discrete Dynamic Models of Air Pollution Based on Artificial Bee Colony Algorithm, 2020. 130-135. 10.1109 / ACIT49673.2020.9208972

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