基于数据抽稀算法的海洋倾废监管系统的设计

随着经济社会的高速发展，海洋工程产生的大量疏浚物被倾倒至海洋，随意的倾倒容易造成海洋生态系统失衡。海洋倾废监管系统作为海洋监管的技术手段，在海洋倾倒监管方面起到了巨大作用，如果倾倒船舶发送至海洋倾废监管系统的数据不进行处理，会使得海洋倾废监管系统显示界面的轨迹点过多，导致倾倒船舶轨迹不清晰的问题。研究曲线抽稀算法中的步长法，验证和探讨数据抽稀算法对船舶轨迹点的减少量。根据数据的参数类型，选取时间间隔、水位变化和距离变化作为数据抽稀算法的参数，研究不同参数值下的船舶轨迹点的减少量。经实验测试，数据抽稀后的数据量比原始数据量减少了95%以上，其数据点连成的轨迹线与原始数据点连成的轨迹线基本一致。在保证倾倒船舶轨迹的前提下，数据抽稀算法能有效减少原始数据量，使得海洋倾废监管系统显示界面简洁，满足了海洋倾废监管要求。

The design of marine dumping supervision system is based on data thinning algorithm

With the rapid economic and social development, a large number of dredged materials produced by marine engineering have been randomly dumped into the ocean, which is easy to cause the imbalance of marine ecosystem. As a technical means of marine supervision, the marine dumping supervision system has played a significant role in marine dumping supervision. If the data sent by the dumping ship to the marine dumping supervision system fails to be processed, there will be excessive trajectory points on the display interface of the marine dumping supervision system, which will lead to unclear trajectories of the dumping ship. This paper investigates the step method of curve thinning algorithm. It also verifies and discusses the reduction of ship trajectory points by data thinning algorithm. According to the parameter type of data, time interval, water level change and distance change are selected as the parameters of the data thinning algorithm to study the reduction of ship trajectory points under different parameter values. The experimental findings show that the amount of data after data thinning algorithm is reduced by more than 95% compared with the original data, and the trajectory formed by the data points is basically the same as it formed by the original data points. On the premise of ensuring the trajectories of dumping ships, the data thinning algorithm can effectively reduce the amount of original data, which makes the display interface of marine dumping supervision system simple and clear, and meets the requirements of marine dumping supervision.