期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
基于虚拟仪器和神经网络的采棉机火情监测预警系统 被引量:5
1
作者 李光耀 张宏文 +3 位作者 王磊 张茜 王由之 张勇 《石河子大学学报(自然科学版)》 CAS 北大核心 2018年第6期761-767,共7页
针对新疆采棉机作业过程中火灾频发、火情特征不明显、缺乏有效监测预警方法的问题,本文提出利用多特征参数融合和基于Python-tensorflow搭建神经网络框架进行火情判别及分类的方法,并基于LabVIEW虚拟仪器技术开发了采棉机火情监测预警... 针对新疆采棉机作业过程中火灾频发、火情特征不明显、缺乏有效监测预警方法的问题,本文提出利用多特征参数融合和基于Python-tensorflow搭建神经网络框架进行火情判别及分类的方法,并基于LabVIEW虚拟仪器技术开发了采棉机火情监测预警系统,该系统可实时监测采棉机作业过程中棉花火情的火焰、CO浓度、烟雾浓度信号并进行在线分析,能够对火情进行准确判别分类并预警。搭建试验台测试分析的结果表明:系统监测误差率小于2.3%,准确预警率95%以上,误报率小于3%,漏报率小于4%。该系统能够对采棉机火情进行实时监测并及时预警,满足设计功能需求。 展开更多
关键词 虚拟仪器 神经网络 采棉机 火情监测 火情分类 LABVIEW
下载PDF
棉花分级在纺织行业中的作用 被引量:1
2
作者 R.Furter H.Ghorashi A.Schleth 《纺织导报》 CAS 北大核心 2006年第10期110-112,114,共4页
Cotton is produced in over 50 countries worldwide, averaging 20-24 million metric tons per year. Most of the cotton produced is being traded and exported as a commodity in an international market. The quality of cotto... Cotton is produced in over 50 countries worldwide, averaging 20-24 million metric tons per year. Most of the cotton produced is being traded and exported as a commodity in an international market. The quality of cotton, however, is highly variable, making it difficult to determine its commercial value or price. Cotton classification provides objective assessment of cotton quality and it is the basis for determining the cotton price. Though manual cotton classification is still commonly used in establishing the cotton price, instrument cotton classifi- cation is rapidly spreading in the cotton industry. InternationalOrganization such as the Task Force on Commercial Standard- ization of Instrument Testing of Cotton (CSITC) operated under the authority of the International Cotton Advisory Committee (ICAC) are actively promoting instruments to replace manual cotton classification worldwide. The USTER_ HVI has been the key instrument in the successful implementation of every existing instrument classing project, and will continue to be in the future. 展开更多
关键词 棉花分级 纺织行业 乌兹别克斯坦 巴基斯坦 种植面积 年产量 全球 总产量
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部