Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures
© 2020 IEEE. Remote-controlled or autonomous multi-rotor air vehicles, or drones, have become common and commercially available even to individual consumers, mostly for imaging purposes. Drones appeal to mission architects looking to extend the toolbox provided to operators performing challenging mi...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021
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| Online Access: | https://hdl.handle.net/1721.1/137278 |
| _version_ | 1826188784436248576 |
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| author | Mordecai, Yaniv James, Nicholas K. Crawley, Edward F. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Mordecai, Yaniv James, Nicholas K. Crawley, Edward F. |
| author_sort | Mordecai, Yaniv |
| collection | MIT |
| description | © 2020 IEEE. Remote-controlled or autonomous multi-rotor air vehicles, or drones, have become common and commercially available even to individual consumers, mostly for imaging purposes. Drones appeal to mission architects looking to extend the toolbox provided to operators performing challenging missions such as public safety operations. However, careful analysis of the operational context and concept of operations must take place before major acquisitions. The purpose of this paper is to propose a model-based operational architecture definition framework, which is based on the Department of Defense Architecture Framework (DoDAF) ontology and uses Object Process Methodology (OPM) as its underlying modeling language. Through careful mapping of DoDAF Operational Viewpoint (OV) ontology to OPM ontology, we were able to show that the entire OV ontology can be covered by a small set of objects, processes, relations among them, and constructs comprising them. We then show how to instantiate the ontology to create a model of an actual architecture of interest (AoI) while maintaining strong typing of the model elements to ensure validity, integrity, consistency, and continuous compliance with the OV. We demonstrate our approach on the case of using drones in public safety enterprises for the purpose of crowd management in massively attended events and locations. The proposed framework allows for capturing ConOps and OpsCon in a lightweight, yet robust and consistent manner, and improve communication and concept validation between operational stakeholders and enterprise architects. |
| first_indexed | 2024-09-23T08:04:59Z |
| format | Article |
| id | mit-1721.1/137278 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:04:59Z |
| publishDate | 2021 |
| publisher | IEEE |
| record_format | dspace |
| spelling | mit-1721.1/1372782023-04-18T15:33:12Z Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures Mordecai, Yaniv James, Nicholas K. Crawley, Edward F. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics © 2020 IEEE. Remote-controlled or autonomous multi-rotor air vehicles, or drones, have become common and commercially available even to individual consumers, mostly for imaging purposes. Drones appeal to mission architects looking to extend the toolbox provided to operators performing challenging missions such as public safety operations. However, careful analysis of the operational context and concept of operations must take place before major acquisitions. The purpose of this paper is to propose a model-based operational architecture definition framework, which is based on the Department of Defense Architecture Framework (DoDAF) ontology and uses Object Process Methodology (OPM) as its underlying modeling language. Through careful mapping of DoDAF Operational Viewpoint (OV) ontology to OPM ontology, we were able to show that the entire OV ontology can be covered by a small set of objects, processes, relations among them, and constructs comprising them. We then show how to instantiate the ontology to create a model of an actual architecture of interest (AoI) while maintaining strong typing of the model elements to ensure validity, integrity, consistency, and continuous compliance with the OV. We demonstrate our approach on the case of using drones in public safety enterprises for the purpose of crowd management in massively attended events and locations. The proposed framework allows for capturing ConOps and OpsCon in a lightweight, yet robust and consistent manner, and improve communication and concept validation between operational stakeholders and enterprise architects. 2021-11-03T18:06:06Z 2021-11-03T18:06:06Z 2020-03 2021-04-23T14:27:51Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137278 Mordecai, Yaniv, James, Nicholas K. and Crawley, Edward F. 2020. "Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures." IEEE Aerospace Conference Proceedings. en 10.1109/aero47225.2020.9172685 IEEE Aerospace Conference Proceedings Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IEEE MIT web domain |
| spellingShingle | Mordecai, Yaniv James, Nicholas K. Crawley, Edward F. Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title | Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title_full | Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title_fullStr | Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title_full_unstemmed | Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title_short | Object-Process Model-Based Operational Viewpoint Specification for Aerospace Architectures |
| title_sort | object process model based operational viewpoint specification for aerospace architectures |
| url | https://hdl.handle.net/1721.1/137278 |
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