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 Internet 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唱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.

秦威（1978－），男，辽宁建平县人，北京航空航天大学博士生，主要从事先进制造技术、复合材料成形工艺及金属板料塑性成形工艺研究