Optimization of ship-deployed AUVs synergisticscheduling for offshore wind turbines underwater foundations inspection : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2025

Идентификатор DOI: 10.1016/j.cor.2025.107080

Ключевые слова: offshore wind turbines, Underwater foundations inspection, Ship-deployed AUVs synergistic scheduling

Аннотация: Guided by the IMO's GHG reduction strategy and the “dual-carbon” goal, offshore wind power has become vital in renewable energy, and more attention has been paid to the regular inspection of offshore wind turbines (OWTs). The Autonomous Underwater Vehicle (AUV) has significantly improved inspection, but the current technology limitПоказать полностьюs it to independently perform long-distance and complex tasks. We propose a ship-deployed AUVs synergistic mode to cover larger area inspections in a shorter period. A mixed-integer programming model is developed to optimize the ships' routes and schedule AUVs' drop and pick-up time. An adaptive large neighborhood search heuristic based on constraint programming (ALNSCP) is developed for large-scale instances. The simulation instances-based computational experiments verify the superiority of the synergistic mode and solution method in improving inspection efficiency. Sensitivity analysis further reveals how AUV debugging time and allowed float time affect inspection efficiency and cost. The analysis of variants with limited deployable AUVs and soft time windows enhances the applicability of the proposed solution. This study can realize the efficiency of AUV utilization and provide decision support for OWTs underwater foundations inspection.

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Издание

Журнал: Computers & Operations Research

Выпуск журнала: Т.181

Номера страниц: 107080

ISSN журнала: 03050548

Издатель: Elsevier Science Publishing Company, Inc.

Персоны

  • Hu Yuzhen (Harbin Engineering University)
  • Han Xu (Harbin Engineering University)
  • Wang Min (Harbin Engineering University)
  • Lukinykh Valery F. (Krasnoyarsk State Agrarian University)
  • Liu Jianxia (Harbin Engineering University)
  • Zhuang Xiaotian (JD Logistics)

Вхождение в базы данных

  • Ядро РИНЦ (eLIBRARY.RU)