水下“寻宝”猎人：落水物品快速定位与打捞

Underwater “Treasure” Hunter: Quickly Locate and Retrieve Items That Have Fallen into the Water

摘要: 水上游玩时，常容易出现贵重物品掉落(如手机、身份证等)的突发情况，如何高效打捞成为了一大难题。本文对掉落物品物理性质、掉落流域特性的相关数据进行分析，建立了基于纳维–斯托克斯方程的手机落水位置分析模型，针对京杭大运河拱宸桥段流动水域特点，分析了手机落水后的受力情况，包括流水推力、阻力、重力和浮力。通过建立笛卡尔坐标系，运用N-S方程和库埃特流动理论，预测了手机在水平和竖直方向上的运动轨迹。结合水平位置预测模型和深度预测模型，构建了完整的时空预测模型，并通过模拟测试验证了模型的通用性。针对轻质量物品分析了居民身份证物理特性，并对前述模型进行调整，考虑了风速对身份证的影响，优化了流体力学模型和纳维–斯托克斯方程的位置分析模型。并基于遗传算法，分析了最优搜索路径并生成了可视化结果。

Abstract: When playing on water, it is common to encounter unexpected situations where valuable items (such as mobile phones, ID cards, etc.) fall off, making efficient salvage a major challenge. This article analyzes the relevant data on the physical properties and watershed characteristics of falling objects, establishes a model for analyzing the location of mobile phone falling into the water based on the Navier-Stokes equation, and analyzes the force situation of mobile phone falling into the water, including water flow thrust, resistance, gravity, and buoyancy, according to the characteristics of the flowing water area in the Gongchen Bridge section of the Beijing Hangzhou Grand Canal. By establishing a Cartesian coordinate system and applying N-S equations and Couette’s flow theory, the motion trajectory of the mobile phone in both horizontal and vertical directions was predicted. A complete spatiotemporal prediction model was constructed by combining a horizontal position prediction model and a depth prediction model, and the universality of the model was verified through simulation testing. We analyzed the physical characteristics of resident identity cards for lightweight items and adjusted the aforementioned model, taking into account the influence of wind speed on identity cards. We optimized the fluid dynamics model and the Navier-Stokes equation position analysis model. Based on genetic algorithm, we analyzed the optimal search path and generated visual results.