摘要
为避免船桥发生碰撞事故,设计基于机器视觉技术的船桥防碰撞自动控制系统。利用双目视觉传感器采集船舶航行环境图像,由A/D转换芯片预处理环境图像,再利用双目视觉测距技术结合预处理的环境图像计算船舶与桥墩间的距离;通过全球定位系统采集船舶位置信息,利用改进差分进化PID控制方法得到舵角自动控制结果,再利用异步收发传输器根据控制结果生成自动控制指令,作用于船舵,完成船桥防碰撞自动控制。实验证明:该系统可有效采集船舶航行环境图像,计算船舶三维坐标;在不同航行环境时,该系统均可完成船桥防碰撞自动控制,且自动控制的稳定性较优。
In order to avoid collision accidents between ships and bridges,an automatic anti-collision control system for ships and bridges based on machine vision technology is designed.The ship navigation environment image is collected by binocular vision sensor,the environment image is preprocessed by A/D conversion chip,and the distance between the ship and the pier is calculated by binocular vision ranging technology combined with the preprocessed environment image.The ship position information is collected by the global positioning system,the rudder angle automatic control result is obtained by the improved differential evolution PID control method,and the automatic control command is generated by the asynchronous transmitter and receiver according to the control result,which acts on the ship rudder and completes the automatic control of bridge anti-collision.The experiment shows that the system can effectively collect the ship navigation environment image and calculate the ship three-dimensional coordinates.In different navigation environments,the system can complete the automatic control of bridge anti-collision,and the stability of the automatic control is better.
作者
杨明
韩旭
金媛媛
刘露
YANG Ming;HAN Xu;JIN Yuan-yuan;LIU Lu(Department of Information and Control Engineering,Shenyang Urban Construction University,Shenyang 110167,China)
出处
《舰船科学技术》
北大核心
2023年第5期144-147,共4页
Ship Science and Technology
基金
辽宁省教育厅科学研究经费项目(LJKX202015)。
关键词
机器视觉技术
船桥防碰撞
自动控制
双目视觉
差分进化算法
PID控制
machine vision technology
bridge anti-collision
auto-control
binocular vision
differential evolution algorithm
PID control