基于BP神经网络的工程图形数据远程安全快速传输法  

The Safe and Quick Long-Distance Transmission Method Based on BP Neural Net for Engineering Graphics Data

作　　者：秦威[1] 秦书玉[2] 

机构地区：[1]北京航空航天大学机械工程及自动化学院,北京100083 [2]辽宁工程技术大学电子与信息工程系,辽宁阜新123000

出　　处：《中国工程科学》2007年第1期49-52,共4页Strategic Study of CAE

基　　金：国家自然科学基金资助项目(69975002)

摘　　要：在数字化制造中,企业内部及企业之间可以通过Internet实现在不同时空坐标上进行短时间工程图形信息交流,这种传输工程图形信息的方式,既节省了人力、物力、财力,也使得数据的获取最大程度上减少了错误和冗余。根据图形的几何元素相关性的特征,建立参数结构,采用人工神经网络BP算法同时进行数据编码压缩和数据加密,实现复杂工程图形数据的远程高效安全传输。实例表明,此方法可用于实际工程。In the digital manufacturing, information circulation of engineering graphics can be realized in a short time by Intemet inside enterprise and among enterprises. Manpower, material and financial resources are economized through the method and mistakes and redundancy of data obtained are also be cut down to maximum extent. Based on the characteristic of correlation of graphics＇ geometry elements, long-distance high efficiency and secure transmission of complex engineering graphics data is realized after parameter structure is built and data code compression and data encryption are put in practice at the same time by using BP algorithm of artificial neural network. Examples show that this method can be used in actual engineering.

关 键 词：神经网络 BP算法 相关性 加密 快速传输 图形数据 

分 类 号：TP391.73[自动化与计算机技术—计算机应用技术]