Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks
The UAV industry is developing rapidly and drones are increasingly used for monitoring industrial facilities. When designing such systems, operating companies have to find a system configuration of multiple drones that is near-optimal in terms of cost while achieving the required monitoring quality....
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/9/3418 |
| _version_ | 1797502774031679488 |
|---|---|
| author | Aleksandra Fedorova Viktar Beliautsou Armin Zimmermann |
| author_facet | Aleksandra Fedorova Viktar Beliautsou Armin Zimmermann |
| author_sort | Aleksandra Fedorova |
| collection | DOAJ |
| description | The UAV industry is developing rapidly and drones are increasingly used for monitoring industrial facilities. When designing such systems, operating companies have to find a system configuration of multiple drones that is near-optimal in terms of cost while achieving the required monitoring quality. Stochastic influences such as failures and maintenance have to be taken into account. Model-based systems engineering supplies tools and methods to solve such problems. This paper presents a method to model and evaluate such UAV systems with coloured Petri nets. It supports a modular view on typical setup elements and different types of UAVs and is based on UAV application standards. The model can be easily adapted to the most popular flight tasks and allows for estimating the monitoring frequency and determining the most appropriate grouping and configuration of UAVs, monitoring schemes, air time and maintenance periods. An important advantage is the ability to consider drone maintenance processes. Thus, the methodology will be useful in the conceptual design phase of UAVs, in monitoring planning, and in the selection of UAVs for specific monitoring tasks. |
| first_indexed | 2024-03-10T03:40:54Z |
| format | Article |
| id | doaj.art-4ca8a89675ef451f82d0589476afc8f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:40:54Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4ca8a89675ef451f82d0589476afc8f12023-11-23T09:18:10ZengMDPI AGSensors1424-82202022-04-01229341810.3390/s22093418Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution NetworksAleksandra Fedorova0Viktar Beliautsou1Armin Zimmermann2Department of Computer Science and Automation, Technische Universität Ilmenau, 98693 Ilmenau, GermanyDepartment of Mechanical Engineering, Technische Universität Ilmenau, 98693 Ilmenau, GermanyDepartment of Computer Science and Automation, Technische Universität Ilmenau, 98693 Ilmenau, GermanyThe UAV industry is developing rapidly and drones are increasingly used for monitoring industrial facilities. When designing such systems, operating companies have to find a system configuration of multiple drones that is near-optimal in terms of cost while achieving the required monitoring quality. Stochastic influences such as failures and maintenance have to be taken into account. Model-based systems engineering supplies tools and methods to solve such problems. This paper presents a method to model and evaluate such UAV systems with coloured Petri nets. It supports a modular view on typical setup elements and different types of UAVs and is based on UAV application standards. The model can be easily adapted to the most popular flight tasks and allows for estimating the monitoring frequency and determining the most appropriate grouping and configuration of UAVs, monitoring schemes, air time and maintenance periods. An important advantage is the ability to consider drone maintenance processes. Thus, the methodology will be useful in the conceptual design phase of UAVs, in monitoring planning, and in the selection of UAVs for specific monitoring tasks.https://www.mdpi.com/1424-8220/22/9/3418UAVdroneVTOLmodellingsimulationcolored Petri net |
| spellingShingle | Aleksandra Fedorova Viktar Beliautsou Armin Zimmermann Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks Sensors UAV drone VTOL modelling simulation colored Petri net |
| title | Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks |
| title_full | Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks |
| title_fullStr | Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks |
| title_full_unstemmed | Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks |
| title_short | Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks |
| title_sort | colored petri net modelling and evaluation of drone inspection methods for distribution networks |
| topic | UAV drone VTOL modelling simulation colored Petri net |
| url | https://www.mdpi.com/1424-8220/22/9/3418 |
| work_keys_str_mv | AT aleksandrafedorova coloredpetrinetmodellingandevaluationofdroneinspectionmethodsfordistributionnetworks AT viktarbeliautsou coloredpetrinetmodellingandevaluationofdroneinspectionmethodsfordistributionnetworks AT arminzimmermann coloredpetrinetmodellingandevaluationofdroneinspectionmethodsfordistributionnetworks |