| 基于蒙特卡罗算法的水上移动漂浮物定位方法 |
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| 引用本文：游正泉.基于蒙特卡罗算法的水上移动漂浮物定位方法[J].计算技术与自动化,2025,(3):60-64 |
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| 中文摘要:在水上复杂多变的环境中，由于浮漂吃铅量过大，容易受到水流波动、风浪扰动等诸多干扰因素的影响，导致定位精度不足。为满足高精度定位的需求，提出了一种基于蒙特卡罗算法的水上移动漂浮物定位方法，实时采集海洋环境数据，包括风、水流以及波浪。构建风、水流以及波浪影响机制下的漂浮物运动模型。基于漂浮物的运动模型以及环境因素的随机变化，利用蒙特卡罗算法模拟漂浮物在水面上的可能运动轨迹，在迭代过程中，粒子群逐渐收敛于漂浮物的真实位置，从而实现对水上移动漂浮物的精确定位。结果表明：无论是在x向还是y向，所研究方法应用下，定位误差都保持在一个相对稳定的低水平范围内，由此证明所研究方法定位方法的准确性。 |
| 中文关键词:蒙特卡罗算法 水上移动漂浮物 环境变量 运动模型 定位方法 |
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| A Method for Locating Floating Objects on Water Based on Monte Carlo Algorithm |
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| Abstract:In the complex and ever-changing environment of water, due to the large amount of lead consumed by floating floats, they are easily affected by various interference factors such as water flow fluctuations and wind and wave disturbances, resulting in insufficient positioning accuracy. To meet the demand for high-precision positioning, a Monte Carlo algorithm based floating objects positioning method is proposed to collect real-time marine environmental data, including wind, water flow, and waves. Construct a floating object motion model under the influence of wind, water flow, and wave mechanisms. Based on the motion model of floating objects and the random changes of environmental factors, Monte Carlo algorithm is used to simulate the possible motion trajectory of floating objects on the water surface. During the iteration process, the particle swarm gradually converges to the true position of floating objects, thus achieving accurate positioning of floating objects moving on water. The results indicate that, regardless of whether in the x or y direction, the positioning error of the studied method remains within a relatively stable low level range, thus proving the accuracy of the positioning method studied. |
| keywords:Monte Carlo algorithm floating objects moving on water environmental parameters motion model positioning method |
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