Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines
The inspection of electric power transmission lines using unmanned aerial vehicles represents an innovative maintenance approach that several countries, including Morocco, are considering adopting. The primary aim is to enhance existing procedures, capitalize on their advantages, and address challen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Scientific African |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227624001492 |
| _version_ | 1797221761913192448 |
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| author | Lamyae Fahmani Siham Benhadou |
| author_facet | Lamyae Fahmani Siham Benhadou |
| author_sort | Lamyae Fahmani |
| collection | DOAJ |
| description | The inspection of electric power transmission lines using unmanned aerial vehicles represents an innovative maintenance approach that several countries, including Morocco, are considering adopting. The primary aim is to enhance existing procedures, capitalize on their advantages, and address challenges associated with traditional methods. Given the precision, efficiency, and safety required for this application to ensure reliable results, we propose a functional architecture for unmanned aerial vehicle-based electric power transmission line inspection. This architecture encompasses key phases such as data collection, planning, and inspection, while identifying electromagnetic interferences and minimum approach distances as major constraints. To streamline mission planning, we introduce a trajectory optimization algorithm integrated into a mission planning assistance application for transmission line inspection. This algorithm presents a novel approach by hybridizing three algorithms: genetic algorithm, ant colony optimization and particle swarm optimization. Consequently, our work represents a significant contribution to the integration of unmanned aerial vehicles in electric power transmission lines inspection operations for electrical energy transport, facilitating potential advancements and discoveries in the field. |
| first_indexed | 2024-04-24T13:10:35Z |
| format | Article |
| id | doaj.art-61db7584421c4d92b2b0edaa0827342b |
| institution | Directory Open Access Journal |
| issn | 2468-2276 |
| language | English |
| last_indexed | 2024-04-24T13:10:35Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Scientific African |
| spelling | doaj.art-61db7584421c4d92b2b0edaa0827342b2024-04-05T04:41:25ZengElsevierScientific African2468-22762024-06-0124e02203Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission linesLamyae Fahmani0Siham Benhadou1Research Foundation for Development and Innovation in Science and Engineering, Casablanca, B.P 16469, Morocco; Engineering Research Laboratory (LRI), System Architecture Team (EAS), National and High School of Electricity and Mechanic (ENSEM) Hassan II University, Casablanca, B. P 8118, Morocco; Corresponding author.Research Foundation for Development and Innovation in Science and Engineering, Casablanca, B.P 16469, Morocco; Engineering Research Laboratory (LRI), System Architecture Team (EAS), National and High School of Electricity and Mechanic (ENSEM) Hassan II University, Casablanca, B. P 8118, MoroccoThe inspection of electric power transmission lines using unmanned aerial vehicles represents an innovative maintenance approach that several countries, including Morocco, are considering adopting. The primary aim is to enhance existing procedures, capitalize on their advantages, and address challenges associated with traditional methods. Given the precision, efficiency, and safety required for this application to ensure reliable results, we propose a functional architecture for unmanned aerial vehicle-based electric power transmission line inspection. This architecture encompasses key phases such as data collection, planning, and inspection, while identifying electromagnetic interferences and minimum approach distances as major constraints. To streamline mission planning, we introduce a trajectory optimization algorithm integrated into a mission planning assistance application for transmission line inspection. This algorithm presents a novel approach by hybridizing three algorithms: genetic algorithm, ant colony optimization and particle swarm optimization. Consequently, our work represents a significant contribution to the integration of unmanned aerial vehicles in electric power transmission lines inspection operations for electrical energy transport, facilitating potential advancements and discoveries in the field.http://www.sciencedirect.com/science/article/pii/S2468227624001492Path planningArchitectureGenetic algorithmAnt colony optimizationParticle Swarm Optimization |
| spellingShingle | Lamyae Fahmani Siham Benhadou Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines Scientific African Path planning Architecture Genetic algorithm Ant colony optimization Particle Swarm Optimization |
| title | Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines |
| title_full | Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines |
| title_fullStr | Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines |
| title_full_unstemmed | Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines |
| title_short | Optimizing 2D path planning for unmanned aerial vehicle inspection of electric transmission lines |
| title_sort | optimizing 2d path planning for unmanned aerial vehicle inspection of electric transmission lines |
| topic | Path planning Architecture Genetic algorithm Ant colony optimization Particle Swarm Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2468227624001492 |
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