Design of dynamic load identification device for cutting mechanism of rock roadheader
-
摘要: 针对现有超重型岩巷掘进机自动截割能力差、稳定性差以及截割动载荷实时识别难度大等问题,结合巷道开采的特点,设计了一种基于RBF神经网络的岩巷掘进机截割机构动载荷识别装置,详细介绍了该识别装置的硬件和软件设计。该装置以工控机为分析中心,通过对截割电动机电流和截割头振动的实时监测,利用多传感器融合技术和RBF神经网络方法进行信号处理和智能分析,实现截割岩石动载荷特征提取及识别,以达到对不同硬度岩石的有效区别。Abstract: In view of problems of poor ability of automation cutting, bad stability and difficult real-time identification of dynamic load of cutting of extra-heavy type rock roadheader, a kind of dynamic load identification device for cutting mechanism of rock roadheader based on RBF neural network was designed according to characteristics of mining roadway, and designs of hardware and software of the identification device were introduced in details. To take industrial computer as analysis center, the device can real-timely monitor signals of cutting motor current and cutting head vibration, and uses multi-sensor fusion technology and RBF neural network to realize signal processing and intelligent analysis, so as to realize feature extraction and recognition of dynamic load of cutting rock and achieve effective distinction of rocks with different hardness.
-
Key words:
- rock roadheader /
- cutting mechanism /
- identification of dynamic load /
- RBP neural network /
- sensor
点击查看大图
计量
- 文章访问数: 60
- HTML全文浏览量: 8
- PDF下载量: 12
- 被引次数: 0