摘要
根据现代化港口管理对煤炭交重智能化计量的需要,设计实现了一套以船舶水尺图像采集和识别为核心的港航交重计量系统,给出了系统的设计思想和软硬件构成,且针对关键技术问题进行了详细研究。该计量系统以数码单反相机代替传统人眼观察进行水尺图像采集,并结合使用电子水平尺获取船舶的姿态信息,进而通过融合形态学及BP神经网络的图像识别算法对吃水深度进行判别,并求取多幅图像分析结果平均值来降低风浪造成的影响。同时系统中还利用构建于远程服务器端的数据库管理程序对全部测量和分析过程进行记录,使得事后对测量结果进行追溯成为可能。
To meet modern port management demands,develop an intelligent measuring system for draft survey of coal based on gauge image acquisition and processing.Introduce its design concept,hardware and software structure as well as the key technologies.The traditional visual observation is replaced by the digital single lens reflex camera which is used for gauge image acquisition,the electronic level bar helps to measure ship motions.Combining the digital image processing technology of morphology and BP neural network,recognize the draft and calculate the average value.A series of processing average value is gotten in order to reduce the interference of waves.All data in the measurement are recorded in the database,which make it possible for the verification of results.
出处
《洁净煤技术》
CAS
2012年第4期118-121,共4页
Clean Coal Technology
关键词
煤炭航运
交重计量
图像采集
吃水识别
coal shipping
draft survey
image acquisition
draft recognition
