3D Ice Shape Description Method Based on BLSOM Neural Network

When checking the ice shape calculation software,its accuracy is judged based on the proximity between the calculated ice shape and the typical test ice shape.Therefore,determining the typical test ice shape becomes the key task of the icing wind tunnel tests.In the icing wind tunnel test of the tail wing model of a large amphibious aircraft,in order to obtain accurate typical test ice shape,the Romer Absolute Scanner is used to obtain the 3D point cloud data of the ice shape on the tail wing model.Then,the batch-learning self-organizing map(BLSOM)neural network is used to obtain the 2D average ice shape along the model direction based on the 3D point cloud data of the ice shape,while its tolerance band is calculated using the probabilistic statistical method.The results show that the combination of 2D average ice shape and its tolerance band can represent the 3D characteristics of the test ice shape effectively,which can be used as the typical test ice shape for comparative analysis with the calculated ice shape.

会检管理在冶金MES系统中的功能实现

阐述按照组织计划流程管理船板产品的理化性能试样检测工作,利用冶金MES系统会检管理功能进行全程跟踪,便于提前预约验船师,准时准量完成会检工作,着重介绍会检管理的主要功能和优点。该应用功能在系统中形成了船板产品会检管理工作有效跟踪管理,适合在其他类似的生产企业推广应用。