VTS雷达及岸基溢油雷达组合选址优化

Location Optimization Portfolio of VTS Radar and Shoreside Oil Spill Detection Radar

针对实际建址时存在障碍物遮挡和雷达传递衰减的船舶交通管理系统(Vessel Traffic Service, VTS)雷达及岸基溢油雷达组合选址问题,基于空间几何方法,在三维空间中提出了障碍物遮挡判断方法,并引入衰减函数进行雷达衰减测度,以建站成本最小和水域面积覆盖率最大为目标建立多目标选址模型。根据问题设计了自适应混沌多目标粒子群算法,在满足位置约束时生成初始解,提高算法求解速度;引入混沌机制和飞蛾火焰算法的螺旋搜索机制对粒子速度及位置更新策略进行改进,增强算法的局部和全局搜索能力。通过算例验证了本文所提出的判断方法及模型的有效性。研究成果不仅深化和拓展了VTS雷达选址及溢油问题的相关研究,也为海事主管机构在进行VTS雷达站及溢油雷达选址时提供理论依据。

Considering obstacle occlusion and radar transmission attenuation in the environment, to solve the portfolio location optimization problem of the vessel traffic service(VTS) radar and the shoreside oil spill detection radar, a method to investigate obstacle occlusion in three-dimensional space based on the spatial geometry method is proposed, an attenuation function is introduced for radar attenuation evaluation, and a multi-objective location optimization model is established with the objectives of minimizing the total construction cost and maximizing water area coverage. An adaptive chaotic multi-objective particle swarm algorithm is designed according to the characteristics of the problem. The initial solutions are generated when the location constraints are satisfied to improve the solution speed of the algorithm. The chaos mechanism and the spiral search mechanism of the moth flame algorithm are introduced to improve the updating strategies of the particle speed and location to enhance the local and global search capability of the algorithm. Then, the effectiveness of the judgment method and model proposed in this paper is verified by numerical examples. The research results not only deepen and expand the research related to VTS radar selection and oil spill detection radar location problem, but also provide a theoretical basis for the maritime authorities when selecting locations for VTS radar stations and oil spill detection radar.