Organization and the Roaming Implementation of Massive Image Data

In coal mining industry,conveyor belts of the coal are often examined.The actual data processing can be rather slow and cumbersome if all data in each segment merged on one single image,resulting in an overloaded file size.In this paper,the authors aim to propose a new organized method of massive image data processing in conveyer belts examination,based on XML.Thes method,which focuses on organizing and merging of scanned data from eash segment,and a roamint fashioned displaying of final images through block reading,can provide great convenience to conveyor belt examining with its effective management of scanned data and quick view of the massive image data.