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.
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)
关键词
神经网络
BP算法
相关性
加密
快速传输
图形数据
neural net
BP algorithm
correlation
encrypt
speed transmission
graphics data
