多传感器三维可视化掘进机辅助控制系统研究.docxVIP

摘 要 I 摘 要 目前掘进机在各个煤矿企业应用的相当普及，其高效高质量的巷道掘进很受煤矿企业的欢迎。但掘进机作业主要依赖掘进机司机位于机身手动操作。一方面，由于巷道掘进工作的条件比较恶劣，而且瓦斯的浓度较高，施工事故频发; 与之相似，采煤时候场地的光线不好，施工机器自身的不确定性都会影响到切割的位置，造成生产事故的发生，生产效率的降低，施工机器滞留的问题。而且对施工人员的工作造成了不小的困难，致使劳动强度变大，掘进的效率不能得到有效保证。 为此，本项目的目的是加强在矿井下对于巷道面定位准确度的研究，减少对于外来资源的占用，实时检测掘进机截割头在巷道中的相对位置，实现巷道截割断面的模拟显示，为操作员提供参考，从而有效解决超欠挖问题，确保断面成形。 关键词：传感器，掘进机，控制系统 ABSTRACT II ABSTRACT At present, the application of roadheader in each coal mine enterprise is quite popular, and its high efficiency and high quality roadway driving is very popular with coal mine enterprises. But the operation of the roadheader mainly depends on the roadheader. The driver is in the frame and operated manually. On the one hand, because of the poor driving conditions, and the higher gas concentration, construction accidents frequently occur; on the other hand, the dust and vibration of the work site and other factors. In the tunneling process is difficult to accurately determine the cutting position, which brings great difficulties to driving control, resulting in low production efficiency, cutting and cutting roadway super owe phenomenon is serious; and the construction of personnel work caused no small difficulty, the labor intensity is larger, the driving efficiency can not be effectively guaranteed. Therefore, positioning system and type roadheader cutting head based on research and development for the mine environment to the project, do not rely on any external resources, the relative position of the real-time detection of the roadheader cutting head in the tunnel, the tunnel section model shows that, to provide reference for the operator thus, effectively solve the problem of overbreak, ensure section forming. KEY WORDS: sensor, Tunnel boring machine, Control