Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360834" target="_blank" >RIV/68407700:21230/22:00360834 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/ETFA52439.2022.9921692" target="_blank" >https://doi.org/10.1109/ETFA52439.2022.9921692</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ETFA52439.2022.9921692" target="_blank" >10.1109/ETFA52439.2022.9921692</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning
Popis výsledku v původním jazyce
This paper concerns fault-tolerant power transmission line inspection planning as a generalization of the multiple traveling salesmen problem. The addressed inspection planning problem is formulated as a single-depot multiple-vehicle scenario, where the inspection vehicles are constrained by the battery budget limiting their inspection time. The inspection vehicle is assumed to be an autonomous multi-copter with a wide range of possible flight speeds influencing battery consumption. The inspection plan is represented by multiple routes for vehicles providing full coverage over inspection target power lines. On an inspection vehicle mission interruption, which might happen at any time during the execution of the inspection plan, the inspection is re-planned using the remaining vehicles and their remaining battery budgets. Robustness is introduced by choosing a suitable cost function for the initial plan that maximizes the time window for successful re-planning. It enables the remaining vehicles to successfully finish all the inspection targets using their respective remaining battery budgets. A combinatorial metaheuristic algorithm with various cost functions is used for planning and fast re-planning during the inspection.
Název v anglickém jazyce
Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning
Popis výsledku anglicky
This paper concerns fault-tolerant power transmission line inspection planning as a generalization of the multiple traveling salesmen problem. The addressed inspection planning problem is formulated as a single-depot multiple-vehicle scenario, where the inspection vehicles are constrained by the battery budget limiting their inspection time. The inspection vehicle is assumed to be an autonomous multi-copter with a wide range of possible flight speeds influencing battery consumption. The inspection plan is represented by multiple routes for vehicles providing full coverage over inspection target power lines. On an inspection vehicle mission interruption, which might happen at any time during the execution of the inspection plan, the inspection is re-planned using the remaining vehicles and their remaining battery budgets. Robustness is introduced by choosing a suitable cost function for the initial plan that maximizes the time window for successful re-planning. It enables the remaining vehicles to successfully finish all the inspection targets using their respective remaining battery budgets. A combinatorial metaheuristic algorithm with various cost functions is used for planning and fast re-planning during the inspection.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
ISBN
978-1-6654-9996-5
ISSN
1946-0740
e-ISSN
1946-0759
Počet stran výsledku
4
Strana od-do
—
Název nakladatele
IEEE Industrial Electronic Society
Místo vydání
Vienna
Místo konání akce
Stuttgart
Datum konání akce
6. 9. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000934103900233