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基于视觉识别的智能浒苔打捞装置设计与试验

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针对现有的浒苔打捞装置打捞效率低、自动化程度低等问题,设计了一种基于视觉识别的智能浒苔打捞装置.该装置主要分为硬件系统和软件系统.硬件系统主要由收集带、电动液压推杆、输送带、打包脱水装置组成,结构简单直接随船通用,其中电动液压推杆用于调节收集带的入水深度,以适应不同海况下不同厚度的浒苔打捞需求.软件系统包括搭载在高性能计算机上的上位机和监控系统,其中上位机包含 3 种控制方式且互为备份,提高了系统的鲁棒性,为海上作业提供了安全可靠保证.智能控制单元包含视觉传感器、可编程逻辑控制器(PLC)、遥控控制器以及按键控制组件,通过视觉识别和智能控制技术,实现自主识别、切换工作模式进而打捞浒苔的任务.通过设计制造该装置和海上试验,验证了智能浒苔打捞装置的有效性.
Design and Experiment of an Intelligent Enteromorpha prolifera Salvage Device Based on Visual Recognition
A visual recognition based intelligent Enteromorpha prolifera salvage device is de-signed to address the issues of low efficiency and low automation of existing seaweed salvage de-vices.The device is mainly divided into hardware and software systems.The hardware system mainly consists of a collection belt,an electric hydraulic push rod,a conveyor belt,and a packa-ging and dehydration device,with a simple structure that can be directly used with ships.In addi-tion,an electric hydraulic push rod has been added to adjust the water depth of the collection belt to meet the fishing needs of different thicknesses of seaweed under different sea conditions.The software system includes an upper computer mounted on a high-performance computer and a mo-nitoring system.The upper computer includes three control modes and is mutually backup,which improves the robustness of the system and ensures safety and reliability for offshore opera-tions.The intelligent control unit includes visual sensors,programmable logic controllers(PLC),remote controllers,and button control components.Through visual recognition and in-telligent control technology,it realizes the task of autonomously identifying,switching work modes,and salvaging Enteromorpha prolifera.The effectiveness of the intelligent Enteromor-pha prolifera salvage device has been verified through the design and manufacturing of the device and sea trials.

salvage device for Enteromorpha proliferaintelligencevisual recognitionimage processing

夏小明、申欣、缪泉明、李智鹏、张键、都鑫、周庆贵、杨棹迪

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江苏海洋大学 海洋工程学院,江苏 连云港 222005

江苏海洋大学 海洋科学与水产学院,江苏 连云港 222005

江苏海洋大学 机械工程学院,江苏 连云港 222005

江苏海洋大学 计算机工程学院,江苏 连云港 222005

江苏海洋大学 马卡洛夫海洋工程学院,江苏 连云港 222005

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浒苔打捞装置 智能 视觉识别 图像处理

2022年国际联合实验室项目

2217202202X

2024

江苏海洋大学学报(自然科学版)
淮海工学院

江苏海洋大学学报(自然科学版)

影响因子:0.433
ISSN:1672-6685
年,卷(期):2024.33(3)
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