Research On The Key Technologies Of Maritime Search And Rescue Decision Support System

Maritime Search and Rescue (MSAR) is an important international obligation undertaken by China according to "1979 International Convention on Maritime Search and Rescue". Maritime search is the premise of providing maritime rescue, as well as the most expensive, risky, and complex aspect of the MSAR system involving many computational problems. The dissertation mainly studies two key technologies for assisting search decision-making support in Maritime Search and Rescue Decision Support System (MSRDSS), which are the optimal determination of maritime search area and the optimal allocation of maritime search efforts. The mainly contributions of this dissertation are:1. With the research objective of optimally determining maritime search area, an ensemble drift model of the search objects is proposed based on stochastic particle simulation approach with the outputs of marine environmental and meteorological numerical prediction models, considering different distress scenarios. Initial probability distributions of the position of search objects are analyzed, and the generating method of multi-scenario integrated probability distributions is presented based on stochastic particle simulation. Based on the analysis of the forces on the search objects and leeway model, the random perturbations are added to marine environmental and meteorological data, leeway coefficients respectively, which affect the drift of objects. An ensemble drift model of general search objects is constructed. The numerical computation method of the ensemble drift model is presented, and a search area prediction simulation example is given to validate the effectiveness of the ensemble drift model.2. With the research objective of optimally allocating maritime search efforts, the theoretically optimal search efforts allocation model is analyzed. An optimal search efforts allocation algorithm which uses the random detection model to search stationary objects is presented under ideal conditions. Using the search plan made by the allocation algorithm as a reference, an operational optimal search rectangles allocation model is proposed based on the MSAR capabilities, rectangles of search units and the operational constraints which developing search plan needs to comply with in the actual MSAR operations. The steps for solving optimal search rectangles allocation algorithm are proposed, and a search efforts allocation simulation example is given to validate the effectiveness of the optimal search rectangles allocation algorithm.3. With the research objective of establishing a Maritime Search and Rescue Simulation System (MSRSS), a MSAR system simulation model which fits in with Chinese MSAR system is proposed with the method of Activity Cycle Diagram (ACD). A scheme of MSRSS is presented based on the simulation model. Then a MSRSS is established on the basis of the scheme. A decision support prototype system of MSAR is realized based on the ensemble drift model of the search objects and the operational optimal search rectangles allocation model. The prototype system is integrated into the MSRSS as a simulation unit in order to improve the function of MSRSS.