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为了提高工作效率,降低劳动强度,文章对智能控制技术在矿料自动取样系统中的应用进行了深入的研究。开发了基于LabVIEW的矿料自动取样三维仿真系统,为工人操作培训提供了条件。采用了BP神经网络模型,用于新车来时自动给出取样矩形框;同时系统可以根据探头电流大小自动判断是否到达目标深度。经过现场运行,该系统取得了很好的应用价值。
In order to improve the working efficiency and reduce the labor intensity, the article makes an in-depth research on the application of intelligent control technology in the automatic mining material sampling system. The automatic simulation system for mining material based on LabVIEW was developed, which provided the conditions for the training of workers. The BP neural network model is used to automatically give a sample rectangle when a new car comes in. At the same time, the system can automatically determine whether the target depth is reached according to the current of the probe. After field operation, the system has achieved good application value.