检索结果-南通市图书馆

A simple image-based method for online moisture content estimation of iron ore green pellets

Journal of Iron and Steel Research(International) 2023年第5期30卷 851-863页

作者： Shu-yi Zhou Xiao-yan Liu College of Electrical and Information Engineering Hunan UniversityChangsha 410082HunanChina Innovation Institute of Industrial Design and Machine Intelligence Quanzhou-Hunan University Quanzhou 362006FujianChina

Moisture content(MC)is an important quality metric of iron ore green pellets in pelletizing process in ironmaking industry.Current image-based methods for MC estimation may result in big errors for gray-scale pellet images captured under various lighting conditions.We proposed a simple image-based method to improve the MC estimation accuracy by illumination correction and linear regression modeling.Firstly,the illumination of the pellet image was transformed into the reference illumination by use of a color checker chart and piecewise linear interpolation,so that the influence of different illuminations could be greatly reduced.By experimental analysis,it was found that MC is approximately adversely proportional to the average intensity of the transformed images.A simple model for MC prediction was then established by linear fitting.Experiments demonstrated that the proposed method has good robustness to different lighting conditions and achieves the best performance in metrics of mean square error,mean absolute error and maximum absolute error in comparison with five state-of-art MC estimating methods.Application on a working disk pelletizer shows that the proposed method can predict well the change of moisture content with time,and its computing efficiency can satisfy the requirement for online MC monitoring during the pelletizing process.

关键词： Green pellet Moisture content Image processing pelletizing process

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：