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The Study Of Quality Checking System Of Mine Remote Sensing Monitoring Results Data Based On AE

Posted on:2019-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:D QuFull Text:PDF
GTID:2321330542957702Subject:Engineering
Abstract/Summary:PDF Full Text Request
Mine remote sensing monitoring is a basic national conditions investigation with Chinese characteristics,the main purpose of this work is to provide important decision-making basis for relevant departments to formulate mineral resource planning,protect the sustainable development and utilization of mineral resources,maintain the mining order,and provide mine development and treatment work.After more than ten years of in-depth work,Relevant departments formed a more mature and complete working process for the data mining of remote sensing monitoring data in mines.In the process of monitoring the results data into the database.Technicians often use Arc Map and other tools to interpret remote sensing data and compile results after interpreting the data.At the same time,technical personnel still need to carry out quality inspection on the compiled results data to ensure that the data to be entered into the warehouse meets the technical requirements for storage.Quality inspection is an important part of mine remote sensing monitoring data storage,this link determines whether the quality of the achievement data is up to standard and can be used for subsequent analysis and application.In order to clearly define relevant specifications of outcome data,relevant departments prepared the Technical Requirements for the Storage of Mine Remote Sensing Monitoring Results Data(hereinafter referred to as storage technical requirements)to ensure data quality.However,in the process of quality inspection,there are many kinds of data in the monitoring results data,the amount of data is large,and there are complex constraints between the data,added issues such as frequent changes to the Technical Requirements for Storage and lack of targeted inspection tools.Relevant staff members have issues such as heavy workload,high repetitiveness,and high cost of learning when carrying out manual quality inspections.Therefore,it is imperative to develop a quality inspection system for special mine remote sensing monitoring results data that is reliable,automated,and scalable.The problem faced in the design of the current quality inspection system is how to ensure the comprehensiveness and standardization of the quality inspection and the compatibility resulting from the version change.Therefore,this article first analyzes and summarizes the quality inspection data specifications according to the technical requirements of storage,and forms a set of quality inspection rules with high reference value.Based on this,it analyzes the quality inspection workflow and the corresponding working methods.Summary,clear quality inspection methods;Then,based on the actual work requirements,the quality inspection system is systematically designed from the three dimensions of inspection rule model,system architecture and overall system function,and the design ideas and key technologies are analyzed,and through the combination of plug-in development framework and model-driven architecture to solve the version compatibility issues caused by changes in the quality inspection rules.Make the entire system comply with the opening and closing principle.Finally,integrate the quality inspection system into the original platform,making the platform more complete.
Keywords/Search Tags:ArcGIS Engine(AE), quality inspection, result data, plug-in development, model-driven architecture
PDF Full Text Request
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