基于岩体动态裂缝识别的矿井预警系统

发布时间：2018-02-10 13:20

本文关键词： 矿井预警动态裂缝无线通信人员定位　出处：《江西理工大学》2013年硕士论文　论文类型：学位论文

【摘要】：以基于岩体动态裂缝识别的矿井预警系统作为选题，，其目的在于解决当前在冶金矿山开采过程中因岩体裂缝形变导致矿井坍塌的预警能力不足，及事故发生之后救援工作效率较低的问题。本文将DSP技术与RFID技术应用到矿井预警系统之中，详细论述了矿井预警系统实现岩体动态裂缝识别功能与无线定位功能的具体设计方案,并论证了系统的可行性。重点对井下智能监测分站内部结构进行了设计：以高性能的DM642芯片为核心，采用模块化结构，结合软件可以实现岩体图像的采集、存储及处理等功能；利用射频单元，通过无线传输方式，实现了用于定位识别的数据的发射、接收及存储，采用RS485总线方式连接井下各智能监测分站，将采集到的井下作业人员位置信息传至地面管理层，实现无线定位。针对岩体本身的特点以及矿井恶劣的环境，采用一般的图像增强方法很难有效的获得岩体特征信息。分析同一区域不同时间段采集到的岩体图像，设计了一种适合岩体图像的预处理方法，能够有效的将特征区域从岩体图像背景中分离出来，方便之后的处理。针对岩体图像本身的多纹路性特征，为了提高处理结果的最终精度，设计了一种逐行滑动邻域取最小值法对其进行特征提取，并提出了一种块分割方式来对动态裂缝特征区域进行判定，实现岩体动态裂缝的准确识别，降低了矿井岩体坍塌带来的危险系数。实验结果表明，该系统能够自动完成信息采集、处理及传输等相关操作，无须人工干预，各项性能指标满足设计要求；具有一定的通用性与社会价值。
[Abstract]:Taking the mine early warning system based on dynamic fracture identification of rock mass as the topic, its purpose is to solve the shortage of early warning ability of mine collapse caused by rock mass crack deformation in metallurgical mining process. And the problem of low efficiency of rescue work after the accident. In this paper, DSP technology and RFID technology are applied to mine early warning system, and the specific design scheme of realizing dynamic fracture identification function and wireless positioning function of rock mass early warning system is discussed in detail. The feasibility of the system is demonstrated. The internal structure of the underground intelligent monitoring sub-station is mainly designed. With the high performance DM642 chip as the core, the modular structure is adopted and the software can realize the collection, storage and processing of rock mass images. By using radio frequency unit and wireless transmission mode, the transmission, receiving and storage of the data used for location identification are realized, and the RS485 bus is used to connect the intelligent monitoring sub-stations underground. The collected location information of underground operators is transmitted to the ground management to achieve wireless positioning. In view of the characteristics of rock mass and the harsh environment of the mine, It is difficult to obtain rock mass characteristic information effectively by using general image enhancement method. A preprocessing method suitable for rock mass image is designed by analyzing the rock mass image collected in different time periods in the same area. The feature area can be effectively separated from the background of rock mass image to facilitate the subsequent processing. In order to improve the final accuracy of the processing result, aiming at the polymorphic feature of rock mass image itself, In this paper, a method of extracting feature by row by line sliding neighborhood minimum value is designed, and a block segmentation method is proposed to judge the characteristic region of dynamic fracture, and to realize the accurate identification of dynamic fracture of rock mass. The dangerous coefficient caused by rock collapse is reduced. The experimental results show that the system can automatically complete the information collection, processing and transmission and other related operations, without manual intervention, each performance index meets the design requirements, and has certain universal and social value.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD76

【参考文献】