Automated deserializer generation from CIM ontologies: CIM $${+}{+}$$ —an easy-to-use and automated adaptable open-source library for object deserialization in C $${+}{+}$$ from documents based on user-specified UML models following the Common Information Model (CIM) standards for the energy sector | SICS Software-Intensive Cyber-Physical Systems Skip to main content
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Automated deserializer generation from CIM ontologies: CIM\({+}{+}\)—an easy-to-use and automated adaptable open-source library for object deserialization in C\({+}{+}\) from documents based on user-specified UML models following the Common Information Model (CIM) standards for the energy sector

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Computer Science - Research and Development

Abstract

The increasing complexity of ICT systems in smart grids requires that all actors improve their interoperability. To this aim, IEC 61970/61968 specify the Common Information Model (CIM) which describes terms in the energy sector and relations between them. One of the key features of CIM is its object-oriented design based on the Unified Modeling Language (UML). This makes CIM easy to maintain and extensible by visual UML editors leading to a continuous standardization process keeping up with new developments. But this means that CIM based software must be kept up-to-date as well. Therefore, this paper presents our Model-Driven Architecture (MDA) based approach with which CIM, as specified by a visual UML editor, can be mapped to a compilable C\({+}{+}\) codebase. Moreover, it shows how this codebase can be used for an automated generation of a C\({+}{+}\) objects deserializer from CIM based documents following the UML specification. All presented approaches are implemented in an open-source project called CIM\({+}{+}\) and evaluated on a real-world use case.

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Notes

  1. http://fein-aachen.org/projects/cimpp.

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Authors and Affiliations

  1. Institute for Automation of Complex Power Systems, RWTH Aachen University, Mathieustr. 10, 52074, Aachen, Germany

    Lukas Razik, Markus Mirz, Daniel Knibbe, Stefan Lankes & Antonello Monti

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Correspondence to Lukas Razik.

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This research was funded by the German Federal Ministry of Education and Research (BMBF) within the SINERGIEN project under funding code 03EK3567B.

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Razik, L., Mirz, M., Knibbe, D. et al. Automated deserializer generation from CIM ontologies: CIM\({+}{+}\)—an easy-to-use and automated adaptable open-source library for object deserialization in C\({+}{+}\) from documents based on user-specified UML models following the Common Information Model (CIM) standards for the energy sector. Comput Sci Res Dev 33, 93–103 (2018). https://doi.org/10.1007/s00450-017-0350-y

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