摘要
针对传统水工建筑物水下检测技术效率低、成像分辨率差等问题,该研究通过改进水下机器人(ROV)实现对水工建筑物损坏的高效检测。通过水下机器人集成采样器检测,经过无线传输将测量的参数数值显示在云平台上。采用声纳成像技术改进水下机器人成像系统,通过声学原理成像以实现在浑浊的水下获得高分辨率的图像效果,将声纳成像与GPS结合使用,以实现水下探测目标图像的定位。经过测试,声纳成像能有效地探测困难空间和难于探索的潜水零件,具有很高的工作效率和较低的检测成本,充分验证了ROV的实用性与可靠性。
Aiming at the problems of low efficiency of underwater detection technology and poor imaging resolution of traditional hydraulic structures,this research achieved efficient detection of damage to hydraulic structures by improving remote operated vehicle.The ROV integrated sensor is used for monitoring,and the measured parameter values are displayed on the cloud platform through wireless transmission.Using dual-frequency recognition sonar technology to improve the ROV imaging system,imaging through acoustic principles to achieve high-resolution image effects in turbid underwater,dual-frequency recognition sonar can be combined with GPS to achieve underwater.Detect the positioning of the target image.After testing,the dual-frequency recognition sonar imaging can effectively detect difficult spaces and difficult-to-explore diving parts,with high work efficiency and low detection.The cost fully verified the practicability and reliability of the ROV underwater robot developed by this research institute.
作者
张震
ZHANG Zhen(Shanghai Investigation Design&Research Institute Co.,Ltd.,Shanghai 200434,China)
出处
《自动化与仪表》
2021年第9期40-44,共5页
Automation & Instrumentation
关键词
水下机器人
水工建筑物
水下检测
采样器
双频识别声呐技术
remote operated vehicle(ROV)
hydraulic structure
underwater detection
sensor
dual-frequency identification sonar technology
