大数据在露天矿特征提取中的应用研究

Application study on big data in feature extraction of open-pit mine

为了使露天矿地质环境得到较好的保护,提出大数据在露天矿特征提取的应用流程。首先指出露天矿面临着数据量巨大、数据量分散以及数据格式不统一的问题,根据这些问题提出露天矿特征提取的应用流程,针对露天矿山地质环境特征信息的正常数据采用正射校正方式、异常数据采用图像裁剪方式进行预处理,增加主体设备系统内部的处理器,对运行状态进行实时监控管理,将露天矿山地质环境监测数据全部序列依次进行提取,实现露天矿特征信息提取,完成大数据在露天矿特征提取的应用流程。实验结果验证了该方法对露天矿山地质环境特征信息提取的有效性,提取精度和置信度较高,环境保护问题得到解决。

In order to better protect the geological environment of open-pit mine,the application process of big data in open-pit mine feature extraction is proposed.First of all,it points out that the open-pit mine faces the problems of huge amount of data,scattered amount of data and inconsistent data format.According to these problems,it puts forward the application process of open-pit mine feature extraction.For the normal data of the geological environment feature information of the open-pit mine,orthophoto correction method is adopted,and the abnormal data is preprocessed by image clipping method.The processor inside the main equipment system is added to monitor and manage the running state in real time.All sequences of geological environment monitoring data of open-pit mines are extracted in turn to realize the extraction of open-pit mine feature information and complete the application process of big data in open-pit mine feature extraction.The experimental results verify the effectiveness of this method for the extraction of geological environment feature information of open-pit mines,with high extraction accuracy and confidence,and the problem of environmental protection is guaranteed.