火车车厢死钩检测技术

Train Coach Fixed-hock Detect

为正确判断车厢连接处钩头是否为死钩,避免由于翻车机所翻卸火车厢两端均为死钩时造成的重大事故。采用图像特征提取的方法,将车皮特定区域的特征提取出来,经过适当筛选,将所得特征值作为神经网络的输入,通过训练好的网络,进而得出车皮活钩、死钩情况。通过现场采集一定数量的车皮图像作为实验数据,选取其中具有代表性的图像作为神经网络的训练集对BP网络进行训练,利用现场采集到的另外一组图像数据作为验证集,通过实验证实方法的可行性和准确率。

In order to accurately identify whether the train coach junction is fixed-hook or not, and avoid the accident causeed when dumping both sides of the train coach are fixed-hooks. This paper adopts image feature extraction method, which to extract special region feature of the wagon images and select. After appropriate screening, the eigen value is regarded as neural network~ input, through the trained network, and a conclusion is reached. Collect a certain number of wagon images as experimental data. Those typical images are as the BP neural network training sets . Use another group images as confirm sets. It is confirmed from experiments that this method is feasible and accuracy.