An Intelligent Decision Algorithm for the Generation of Maritime Search and Rescue Emergency Response Plans

Bo Ai,Jiangling Xu,Benshuai Li,Song Gao,Hengshuai Shang

doi:10.1109/access.2019.2949366

Abstract

Maritime search and rescue (SAR) decisions are the most important part of maritime SAR operations. In the process of making maritime SAR decisions, a key factor affecting efficiency and success rate is how to quickly respond to accidents and develop an emergency response plan. At present, maritime SAR emergency response plans are still mostly obtained through a combination of drift prediction models and SAR experience. There is a lack of SAR resource scheduling and SAR task assignment. The primary purpose of this paper is to explore the possibility of using an intelligent decision-making algorithm to formulate maritime SAR emergency response plans so as to produce results more scientifically. First, the relevant research areas and research data are briefly introduced, and the main mathematical models involved in the optimal search theory are expounded. Next, key technologies involved in the process of maritime SAR emergency response plan generation, including the determination of search area, the scheduling of SAR resources, the allocation of search tasks, and the planning of search routes, are analyzed in detail. Two optimization model algorithms, namely the SAR resource scheduling model based on genetic simulated annealing algorithm (GSAA) and the regional task allocation algorithm based on space-time characteristics, are proposed as approaches to solving the problem of resource scheduling and task allocation. Finally, the effectiveness and optimization of the proposed algorithms are verified by analyzing the emergency response of a real case which occurred in the Bohai Sea and comparing the different schemes. Through the algorithm proposed in this paper, the efficiency of maritime SAR operations can be effectively improved and the loss of life and property can be reduced.

Highlights

Because of advances in technology, maritime search and rescue (SAR) capabilities and technical levels have improved significantly
In this paper, the key technologies involved in the process of forming maritime SAR emergency response plans are analyzed in detail, and the maritime SAR decision problem is decomposed into three sub-problems: SAR area determination, SAR resource scheduling, and SAR task assignment
The concept of probability of successful search and rescue (POSSAR) is proposed by introducing the probability of rescue (POR) and used as the objective function of the resource scheduling model

Summary

Introduction

Because of advances in technology, maritime SAR capabilities and technical levels have improved significantly. Many problems still plague the maritime SAR process, such as imperfect emergency systems, untimely emergency response, and unreasonable plans. The damage caused by a marine accident is immeasurable. When the ships ‘‘TIANYU 2’’ and ‘‘LIAOSUIYU 66528’’ collided. The associate editor coordinating the review of this manuscript and approving it for publication was Gustavo Olague. In September 2017, 6 people died due to the inability to formulate a scientific SAR plan in time [1]. Further research into maritime SAR decision-making algorithms is urgently needed in order to improve maritime SAR capabilities. Domestic and foreign scholars have done a lot of research on the issue of SAR decision-making. For determining the search area, Zhang Jinfeng et al proposed a probabilistic model for predicting the object’s drift velocity and position in a sequential manner [2]; Huang Juan and Liu Tongmu et al used the Lagrangian tracking

Objectives

Discussion

Conclusion