Visualization inside Rock using AE and Mechanical Data detected at the Drilling Bit Position

在地下施工中，在开挖和支护设置前获取岩体结构信息（包括结构面分布）是非常重要的。在钻头位置检测到的机械数据（扭矩和推力）和声发射（AE）对于了解地下结构以及在钻机现场监测到的冲程和转速数据非常有用。因此，进行了实验室实验，开发了可视化岩体内部的硬件和软件系统。通过实验得到以下结果：1。室内钻井实验表明，在钻头位置检测到的声发射变化、扭矩和推力反映了岩石类型的差异和所定位的不连续面。采用光收发器和调频波两种信号传输方式，均能将钻头位置的信号通过钻杆传输到钻床现场。此外，还开发了另一种数据记录系统，该系统采用位于位后的IC存储器；钻井实验验证了该系统的有效性。利用神经网络技术开发了一个数据分析系统，用于客观解释测井数据和显示测井地层和不连续面。本课题开发的系统在实验室实验中可以成功地检测到钻头位置的声发射、扭矩和推力。与传统方法相比，这些数据可以更直接地反映岩石钻探的信息。特别是，这种使用IC存储器的数据记录方法，如果其制造的电路小，防水，防震，应该是任何未来钻井系统的有用组成部分。

In underground construction, it is important to obtain rock structure information, including distribution of discontinuities, before excavation and support setting. Mechanical data (torque and thrust) and AE (acoustic emission) detected at the drill bit position can be useful for understanding underground structure along with stroke and revolution data monitored at the drilling machine site. Therefore, laboratory experiments were performed to develop hardware and software systems to visualize the rock mass interior.The following results were obtained through experimentation :1. Laboratory drilling experiments showed that AE variation, torque, and thrust detected at the bit position reflected rock type differences and located discontinuities.2. Both signal transmission methods using optical transceiver and FM wave were able to transmit signals from the bit position to the drilling machine site through drilling rods.3. Also, another data logging system using IC memory arranged behind the bit position was developed ; drilling experiments confirmed effectiveness of this system.4. A data analysis system using neural network techniques was also developed for objective interpretation of logged data and display of logged strata and discontinuities.The system developed in this project could successfully detect AE, torque, and thrust at the drill bit position in laboratory experiments. These data could more directly reflect information about rock drilling than conventional methods. In particular, it was found that this data logging method using IC memory should be a useful inclusion in any future drilling system if its manufactured electric circuit were small, waterproof, and shockproof.