基于嵌入式图像处理系统的水产养殖轨迹跟踪

Trajectory Tracking of Aquatic Fish Breeding Based on Embedded Image Processing System

摘要: 目前，在传统水产养殖向产业化、集约化发展的过程中，监测技术与方法是薄弱环节，因此，研究和应用水产养殖轨迹跟踪技术具有重要意义。本文主要研究了基于嵌入式图像处理系统的水产养殖轨迹跟踪技术，提出了一种水产养殖在线监测系统的设计方案。该系统基于嵌入式技术，结合GSM/GPRS通信和射频无线传输技术，主要实现对水生鱼类的实时轨迹跟踪和监控。智能化设计使监控人员能够根据异常数据及时采取有效措施。本文的实验数据表明，在X轴速度为300 mm/min的条件下，水产养殖轨迹跟踪系统的跟踪误差达到0.5 mm或更小，满足设计要求。该系统结构简单，功能易于扩展，测量数据误差小，适用于水产养殖产业化领域。

Abstract: At present, the monitoring techniques and methods are weak in the process of traditional aquatic fish farming towards industrialization and intensive development, so the research and implementation of aquatic fish farming trajectory tracking technology are of great significance. This paper mainly studies the tracking of aquatic fish farming based on an embedded image processing system and proposes a design scheme for an aquaculture online monitoring system. This system is based on embedded technology, combined with GSM/GPRS communication and radio frequency wireless transmission technology, and mainly realizes real-time trajectory tracking and monitoring of aquatic fish. The intelligent design enables monitoring personnel to take effective measures in time according to abnormal data. The experimental data of this paper shows that the tracking error of the aquatic fish breeding trajectory tracking system reached 0.5 mm or less under the condition of an X-axis speed of 300 mm/min, which meets the design requirements. The experimental results in this paper show that the system is simple in structure, easy to expand in function, have small errors in the measured data and, is suitable for the field of industrialized aquatic fish breeding.