{"title":"选择性开采煤地下制图","authors":"A. Strange, Z. Jecny","doi":"10.1109/ICGPR.2018.8441594","DOIUrl":null,"url":null,"abstract":"There is a need for a reliable coal seam sensing system to provide selective mining capabilities for open-cut coal mining operations. This paper presents the preliminary results of a GPR-based sensing system developed for this purpose. The system will be used to scan open-cut sites to generate digital surfaces representative of the thickness of the coal seam. The digital surfaces will be uploaded to in-cab guidance systems to provide operators with information to enable selective mining. The system was evaluated at an open-cut mine site where a digital surface was generated from the GPR data collected at the site. Results from drilling holes to validate the system showed that the top layer thickness estimates were within 5% of the measured layer thickness at four of the five test locations.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Coal Subsurface Mapping for Selective Mining\",\"authors\":\"A. Strange, Z. Jecny\",\"doi\":\"10.1109/ICGPR.2018.8441594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a need for a reliable coal seam sensing system to provide selective mining capabilities for open-cut coal mining operations. This paper presents the preliminary results of a GPR-based sensing system developed for this purpose. The system will be used to scan open-cut sites to generate digital surfaces representative of the thickness of the coal seam. The digital surfaces will be uploaded to in-cab guidance systems to provide operators with information to enable selective mining. The system was evaluated at an open-cut mine site where a digital surface was generated from the GPR data collected at the site. Results from drilling holes to validate the system showed that the top layer thickness estimates were within 5% of the measured layer thickness at four of the five test locations.\",\"PeriodicalId\":269482,\"journal\":{\"name\":\"2018 17th International Conference on Ground Penetrating Radar (GPR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 17th International Conference on Ground Penetrating Radar (GPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGPR.2018.8441594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 17th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2018.8441594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There is a need for a reliable coal seam sensing system to provide selective mining capabilities for open-cut coal mining operations. This paper presents the preliminary results of a GPR-based sensing system developed for this purpose. The system will be used to scan open-cut sites to generate digital surfaces representative of the thickness of the coal seam. The digital surfaces will be uploaded to in-cab guidance systems to provide operators with information to enable selective mining. The system was evaluated at an open-cut mine site where a digital surface was generated from the GPR data collected at the site. Results from drilling holes to validate the system showed that the top layer thickness estimates were within 5% of the measured layer thickness at four of the five test locations.