摘要
针对大坝质量安全检测的问题,设计开发了一种基于视觉机器人的大坝水下表面裂缝检测系统,主要对其系统方案进行了设计,包括系统硬件平台、软件平台及信号传输方法,在此基础上,开发了裂缝自动检测算法,并通过实验进行了验证.结果表明,本文所提供的方法能有效地检测出不同类型的大坝水下表面裂缝,可为大坝水下表面裂缝巡检提供详细的技术指导,提高了大坝安全预警系数.
Aiming at the problem of dam quality safety detection, an underwater dam surface crack detection system based on visual robot is designed and developed; mainly focused on its scheme design, including its hardware, software, and signal transmission method. And then the algorithm for cracks automatic detection is developed and verified experimentally. The results show that the different types of underwater dam surface cracks all can be detected with the method presented in this paper. Therefore, it can give some technical guid- ance for the underwater dam surface cracks inspection and improve the dam safety {actor.
作者
陈从平
聂葳
吴喆
李林波
Chen Congping Nie Wei Wu Zhe Li Linbo(College of Mechanical & Power Engineering, China Three Gorges Univ. , Yichang 443002, Chin)
出处
《三峡大学学报(自然科学版)》
CAS
2016年第5期72-74,86,共4页
Journal of China Three Gorges University:Natural Sciences
基金
中国水利水电科学研究院开放基金项目(IWHRKF201010)