优化水下管道巡检站和无人机部署，提升应急响应速度。
Optimal Placement of Docking Stations and Resident AUVs for Subsea Pipeline Inspection
- 分两阶段优化巡检站位置与无人艇配置。
- 仅需少量站点即可实现最优响应时间。
- 兼顾成本与效率，适合海上能源巡检规划。
提出一种两阶段混合整数线性规划框架，用于海底管道事故响应规划，联合优化海底对接板（SDP）位置与驻留自主水下航行器（AUV）分配，以最小化在空间不确定性下的最大与平均响应时间。第一阶段最小化所有潜在泄漏点的最大响应时间；第二阶段在最大响应时间约束下降低平均响应时间。基于挪威约翰·斯韦德鲁普油气田的案例研究，包含9个SDP候选位置和33条管道，结果显示仅需少数几个合理布置的SDP即可达到顶级性能。成本与时间的帕累托分析揭示了部署支出与响应效率间的权衡，为构建高效且经济的水下巡检网络提供可操作指导。
原文摘要 · Abstract (English)
A two-stage mixed-integer linear programming framework is introduced for subsea pipeline incident response planning, jointly optimizing Subsea Docking Plate (SDP) placement and resident autonomous underwater vehicle allocation to minimize both maximum and average response times under spatial uncertainty. Phase 1 minimizes the maximum response time across all potential leak locations. Phase 2 reduces the average response time subject to the maximum bound. A case study based on the Johan Sverdrup oil and gas field in Norway, with 9 SDP options and 33 pipelines, shows that just a few well-placed SDPs are enough to achieve top performance. A cost versus time Pareto analysis reveals the trade-off between deployment expenditure and response efficiency, providing actionable guidance for designing resilient and cost-effective subsea inspection networks.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。