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Development of Information and Technology Platform for Optimal Design of Heating Systems

V. Stennikov,E. Barakhtenko,D. Sokolov

Published 2019 in Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

ABSTRACT

The paper presents a new methodological approach to development of information and technology platform for optimal design of heating systems. The methodological approach consists of the following components: basic principles of platform development; an architecture of the information and technology platform; a technique of automated software construction on the basis of the Model-Driven Engineering conception and modern metaprogramming technologies. The knowledge about heating systems, applied problems, and the applied software is stored in ontologies. The automated construction of the software system is performed on the basis of a heating system model, ontologies and modern metaprogramming technologies. The proposed approach allows us to successfully solve the problem of separation of methods (algorithms) for solving applied problems and mathematical models of heating system elements. To this end, the methods are implemented in the form of software components that are not related to properties and mathematical models of specific equipment. And the models of heating system elements are automatically integrated into the software system. As a result, the software system oriented to solving a specific applied problem is created in an automated mode. The developed approach has been used for the software implementation to design heating systems. Keywords—methodological approach; Model-Driven Engineering; ontology; metaprogramming; heating system design

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

  • Publication date

    2019-05-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.2991/ITIDS-19.2019.48
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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