Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection
Many infrastructure facilities such as bridges, communication towers, and power transmission lines were constructed more than 30 years ago, and their inspection work is significant for disaster prevention and mitigation. Infrastructure inspections using unmanned aerial vehicles (UAVs) have been intr...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10144323/ |
| _version_ | 1827926777691897856 |
|---|---|
| author | Hideya So |
| author_facet | Hideya So |
| author_sort | Hideya So |
| collection | DOAJ |
| description | Many infrastructure facilities such as bridges, communication towers, and power transmission lines were constructed more than 30 years ago, and their inspection work is significant for disaster prevention and mitigation. Infrastructure inspections using unmanned aerial vehicles (UAVs) have been introduced and are expected to improve inspection efficiency significantly. However, infrastructure facilities are located in various places, and the cost of dispatching pilots and UAVs to each infrastructure is increasing costs. This paper proposes a migratory UAV (MiUAV) system in which a UAV automatically moves to infrastructure facilities and a pilot inspects remotely. The proposed MiUAV consists of multiple ports that can accommodate and charge UAVs, and the UAVs can travel to remote infrastructure by flying between the ports. Assuming an environment where multiple UAVs move simultaneously, setting up a route through a port with high utilization or a bad weather area will increase the travel time to the destination. The proposed route decision scheme uses weights considering port utilization ratio and inclement weather probability and autonomously sets a route to the destination for each UAV using the Dijkstra method. Computer simulations evaluate that the proposed scheme can reduce travel time by avoiding high-utilization ports and bad weather areas. |
| first_indexed | 2024-03-13T05:42:46Z |
| format | Article |
| id | doaj.art-81730031c90947f687ec9633481449bc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T05:42:46Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-81730031c90947f687ec9633481449bc2023-06-13T23:00:32ZengIEEEIEEE Access2169-35362023-01-0111563925639910.1109/ACCESS.2023.328299510144323Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure InspectionHideya So0https://orcid.org/0000-0002-5396-4458Shonan Institute of Technology, Fujisawa, Kanagawa, JapanMany infrastructure facilities such as bridges, communication towers, and power transmission lines were constructed more than 30 years ago, and their inspection work is significant for disaster prevention and mitigation. Infrastructure inspections using unmanned aerial vehicles (UAVs) have been introduced and are expected to improve inspection efficiency significantly. However, infrastructure facilities are located in various places, and the cost of dispatching pilots and UAVs to each infrastructure is increasing costs. This paper proposes a migratory UAV (MiUAV) system in which a UAV automatically moves to infrastructure facilities and a pilot inspects remotely. The proposed MiUAV consists of multiple ports that can accommodate and charge UAVs, and the UAVs can travel to remote infrastructure by flying between the ports. Assuming an environment where multiple UAVs move simultaneously, setting up a route through a port with high utilization or a bad weather area will increase the travel time to the destination. The proposed route decision scheme uses weights considering port utilization ratio and inclement weather probability and autonomously sets a route to the destination for each UAV using the Dijkstra method. Computer simulations evaluate that the proposed scheme can reduce travel time by avoiding high-utilization ports and bad weather areas.https://ieeexplore.ieee.org/document/10144323/UAVinfrastructure inspectionroute decision algorithmDijkstra |
| spellingShingle | Hideya So Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection IEEE Access UAV infrastructure inspection route decision algorithm Dijkstra |
| title | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection |
| title_full | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection |
| title_fullStr | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection |
| title_full_unstemmed | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection |
| title_short | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection |
| title_sort | migratory unmanned aerial vehicle system miuav for automated infrastructure inspection |
| topic | UAV infrastructure inspection route decision algorithm Dijkstra |
| url | https://ieeexplore.ieee.org/document/10144323/ |
| work_keys_str_mv | AT hideyaso migratoryunmannedaerialvehiclesystemmiuavforautomatedinfrastructureinspection |