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Robert Krol - One of the best experts on this subject based on the ideXlab platform.

  • Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools
    Natural Resources Research, 2019
    Co-Authors: Piotr Bardzinski, Leszek Jurdziak, Witold Kawalec, Robert Krol
    Abstract:

    The Ore quality at mining faces in the KGHM underground Copper Ore mines can be determined based on channel samples and block models built in the Datamine system. Unfortunately, even very accurate information regarding the quality of deposits at mining faces does not translate into the possibility of predicting the composition of feed to enrichment plants. The mixed Ore from mining faces is cyclically loaded by trucks onto belt conveyors, which in turn convey it to shafts. When transported on the conveyors, mixed Ore portions from many loading points form a divisional stream, which then goes to the main haulage conveyors where Ore streams from various divisions are combined. The way of filling the bunkers, as well as Ore flow temporary stoppages, changes the sequence of Ore mixing and its arrival, which hinders the ability to track its quality. In the current study, radio-frequency identification (RFID) was proposed for tracking Ore composition. A complementary method of Ore quality prediction comes from simulating the tagged Ore flow within the FlexSim software package. The discrete element method (DEM) of simulations, verified by experiments with RFID tags, can determine the Ore flow through bunkers. FOrecasts of Ore feed composition for the next shift can be prepared with actual plans of mining division operations, the filling level of bunkers and the work plan of the transport system.

  • Idea of Identification of Copper Ore with the Use of Process Analyser Technology Sensors
    IOP Conference Series: Earth and Environmental Science, 2016
    Co-Authors: Leszek Jurdziak, Witold Kawalec, D. Kaszuba, Robert Krol
    Abstract:

    The Polish resources of the Copper Ore exploited by the KGHM S.A. underground mines are considered as one of the most complex in the world and - consequently - the most difficult to be processed. The Ore consists of three lithology forms: dolomites, shales and sandstones but in different proportions which has a significant impact on the effectiveness of the grinding and flotation processes. The lithological composition of the Ore is generally recognised in-situ but after being mined it is blended on its long way from various mining fields to the processing plant by the complex transportation system consisting of belt conveyors with numerous switching points, Ore bunkers and shafts. Identification of the lithological composition of the Ore being supplied to the processing plant should improve the adjustments of the Ore processing machinery equipment aiming to decrease the specific processing (mainly grinding) energy consumption as well as increase the metal recovery. The novel idea of Process Analyser Technology (PAT) sensors - information carrying pellets, dropped into the transported or processed bulk material which can be read directly when needed - is investigated for various applications within the DISIRE project (a part of the SPIRE initiative, acting under the Horizon2020 framework program) and here is adopted for implementing the annotation the transported Copper Ore for the needs of Ore processing plants control. The identification of the lithological composition of Ore blended on its way to the processing plant can be achieved by an information system consisting of pellets that keep the information about the original location of the portions of conveyed Ore, the digital, geological database keeping the data of in-situ lithology and the simulation models of the transportation system, necessary to evaluate the composition of the blended Ore. The assumptions of the proposed solution and the plan of necessary in-situ tests (with the special respect to harsh environment of

  • project disire h2020 an idea of annotating of Ore with sensors in kghm polska miedz s a underground Copper Ore mines
    E3S Web of Conferences, 2016
    Co-Authors: Witold Kawalec, Leszek Jurdziak, Robert Krol, Radoslaw Zimroz, Marek Jach, Radoslaw Pilut
    Abstract:

    The lithological composition of the Copper Ore delivered to the mills, when recognised in advance, is considered as the most important factor for the proper settings of grinding/milling equipment that can both decrease the specific energy consumption of Ore processing and increase metal recovery. In order to address this problem, the idea of the use of sensors for in-situ sensing with respect to adaptation to harsh environment of Copper Ore conveying in the underground mines was investigated. The in-situ sensors information carrying pellets, are planned to be used for annotating the Copper Ore for the needs of Ore processing plants control. The improved identification of the lithological composition of Ore can be achieved by combination of annotating the stream of transported Ore with pellets that keep the information on the original location of the Ore (when they are dropped into the transported bulk material), the data of the in-situ lithology derived from the digital, Orebody structural and quality block model and the simulation analysis of the transportation system. The idea is being developed within the DISIRE project – a part of the SPIRE initiative, acting under the “Horizon 2020” framework program.

Piotr Bardzinski - One of the best experts on this subject based on the ideXlab platform.

  • Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools
    Natural Resources Research, 2019
    Co-Authors: Piotr Bardzinski, Leszek Jurdziak, Witold Kawalec, Robert Krol
    Abstract:

    The Ore quality at mining faces in the KGHM underground Copper Ore mines can be determined based on channel samples and block models built in the Datamine system. Unfortunately, even very accurate information regarding the quality of deposits at mining faces does not translate into the possibility of predicting the composition of feed to enrichment plants. The mixed Ore from mining faces is cyclically loaded by trucks onto belt conveyors, which in turn convey it to shafts. When transported on the conveyors, mixed Ore portions from many loading points form a divisional stream, which then goes to the main haulage conveyors where Ore streams from various divisions are combined. The way of filling the bunkers, as well as Ore flow temporary stoppages, changes the sequence of Ore mixing and its arrival, which hinders the ability to track its quality. In the current study, radio-frequency identification (RFID) was proposed for tracking Ore composition. A complementary method of Ore quality prediction comes from simulating the tagged Ore flow within the FlexSim software package. The discrete element method (DEM) of simulations, verified by experiments with RFID tags, can determine the Ore flow through bunkers. FOrecasts of Ore feed composition for the next shift can be prepared with actual plans of mining division operations, the filling level of bunkers and the work plan of the transport system.

Leszek Jurdziak - One of the best experts on this subject based on the ideXlab platform.

  • Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools
    Natural Resources Research, 2019
    Co-Authors: Piotr Bardzinski, Leszek Jurdziak, Witold Kawalec, Robert Krol
    Abstract:

    The Ore quality at mining faces in the KGHM underground Copper Ore mines can be determined based on channel samples and block models built in the Datamine system. Unfortunately, even very accurate information regarding the quality of deposits at mining faces does not translate into the possibility of predicting the composition of feed to enrichment plants. The mixed Ore from mining faces is cyclically loaded by trucks onto belt conveyors, which in turn convey it to shafts. When transported on the conveyors, mixed Ore portions from many loading points form a divisional stream, which then goes to the main haulage conveyors where Ore streams from various divisions are combined. The way of filling the bunkers, as well as Ore flow temporary stoppages, changes the sequence of Ore mixing and its arrival, which hinders the ability to track its quality. In the current study, radio-frequency identification (RFID) was proposed for tracking Ore composition. A complementary method of Ore quality prediction comes from simulating the tagged Ore flow within the FlexSim software package. The discrete element method (DEM) of simulations, verified by experiments with RFID tags, can determine the Ore flow through bunkers. FOrecasts of Ore feed composition for the next shift can be prepared with actual plans of mining division operations, the filling level of bunkers and the work plan of the transport system.

  • Idea of Identification of Copper Ore with the Use of Process Analyser Technology Sensors
    IOP Conference Series: Earth and Environmental Science, 2016
    Co-Authors: Leszek Jurdziak, Witold Kawalec, D. Kaszuba, Robert Krol
    Abstract:

    The Polish resources of the Copper Ore exploited by the KGHM S.A. underground mines are considered as one of the most complex in the world and - consequently - the most difficult to be processed. The Ore consists of three lithology forms: dolomites, shales and sandstones but in different proportions which has a significant impact on the effectiveness of the grinding and flotation processes. The lithological composition of the Ore is generally recognised in-situ but after being mined it is blended on its long way from various mining fields to the processing plant by the complex transportation system consisting of belt conveyors with numerous switching points, Ore bunkers and shafts. Identification of the lithological composition of the Ore being supplied to the processing plant should improve the adjustments of the Ore processing machinery equipment aiming to decrease the specific processing (mainly grinding) energy consumption as well as increase the metal recovery. The novel idea of Process Analyser Technology (PAT) sensors - information carrying pellets, dropped into the transported or processed bulk material which can be read directly when needed - is investigated for various applications within the DISIRE project (a part of the SPIRE initiative, acting under the Horizon2020 framework program) and here is adopted for implementing the annotation the transported Copper Ore for the needs of Ore processing plants control. The identification of the lithological composition of Ore blended on its way to the processing plant can be achieved by an information system consisting of pellets that keep the information about the original location of the portions of conveyed Ore, the digital, geological database keeping the data of in-situ lithology and the simulation models of the transportation system, necessary to evaluate the composition of the blended Ore. The assumptions of the proposed solution and the plan of necessary in-situ tests (with the special respect to harsh environment of

  • project disire h2020 an idea of annotating of Ore with sensors in kghm polska miedz s a underground Copper Ore mines
    E3S Web of Conferences, 2016
    Co-Authors: Witold Kawalec, Leszek Jurdziak, Robert Krol, Radoslaw Zimroz, Marek Jach, Radoslaw Pilut
    Abstract:

    The lithological composition of the Copper Ore delivered to the mills, when recognised in advance, is considered as the most important factor for the proper settings of grinding/milling equipment that can both decrease the specific energy consumption of Ore processing and increase metal recovery. In order to address this problem, the idea of the use of sensors for in-situ sensing with respect to adaptation to harsh environment of Copper Ore conveying in the underground mines was investigated. The in-situ sensors information carrying pellets, are planned to be used for annotating the Copper Ore for the needs of Ore processing plants control. The improved identification of the lithological composition of Ore can be achieved by combination of annotating the stream of transported Ore with pellets that keep the information on the original location of the Ore (when they are dropped into the transported bulk material), the data of the in-situ lithology derived from the digital, Orebody structural and quality block model and the simulation analysis of the transportation system. The idea is being developed within the DISIRE project – a part of the SPIRE initiative, acting under the “Horizon 2020” framework program.

Witold Kawalec - One of the best experts on this subject based on the ideXlab platform.

  • Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools
    Natural Resources Research, 2019
    Co-Authors: Piotr Bardzinski, Leszek Jurdziak, Witold Kawalec, Robert Krol
    Abstract:

    The Ore quality at mining faces in the KGHM underground Copper Ore mines can be determined based on channel samples and block models built in the Datamine system. Unfortunately, even very accurate information regarding the quality of deposits at mining faces does not translate into the possibility of predicting the composition of feed to enrichment plants. The mixed Ore from mining faces is cyclically loaded by trucks onto belt conveyors, which in turn convey it to shafts. When transported on the conveyors, mixed Ore portions from many loading points form a divisional stream, which then goes to the main haulage conveyors where Ore streams from various divisions are combined. The way of filling the bunkers, as well as Ore flow temporary stoppages, changes the sequence of Ore mixing and its arrival, which hinders the ability to track its quality. In the current study, radio-frequency identification (RFID) was proposed for tracking Ore composition. A complementary method of Ore quality prediction comes from simulating the tagged Ore flow within the FlexSim software package. The discrete element method (DEM) of simulations, verified by experiments with RFID tags, can determine the Ore flow through bunkers. FOrecasts of Ore feed composition for the next shift can be prepared with actual plans of mining division operations, the filling level of bunkers and the work plan of the transport system.

  • Idea of Identification of Copper Ore with the Use of Process Analyser Technology Sensors
    IOP Conference Series: Earth and Environmental Science, 2016
    Co-Authors: Leszek Jurdziak, Witold Kawalec, D. Kaszuba, Robert Krol
    Abstract:

    The Polish resources of the Copper Ore exploited by the KGHM S.A. underground mines are considered as one of the most complex in the world and - consequently - the most difficult to be processed. The Ore consists of three lithology forms: dolomites, shales and sandstones but in different proportions which has a significant impact on the effectiveness of the grinding and flotation processes. The lithological composition of the Ore is generally recognised in-situ but after being mined it is blended on its long way from various mining fields to the processing plant by the complex transportation system consisting of belt conveyors with numerous switching points, Ore bunkers and shafts. Identification of the lithological composition of the Ore being supplied to the processing plant should improve the adjustments of the Ore processing machinery equipment aiming to decrease the specific processing (mainly grinding) energy consumption as well as increase the metal recovery. The novel idea of Process Analyser Technology (PAT) sensors - information carrying pellets, dropped into the transported or processed bulk material which can be read directly when needed - is investigated for various applications within the DISIRE project (a part of the SPIRE initiative, acting under the Horizon2020 framework program) and here is adopted for implementing the annotation the transported Copper Ore for the needs of Ore processing plants control. The identification of the lithological composition of Ore blended on its way to the processing plant can be achieved by an information system consisting of pellets that keep the information about the original location of the portions of conveyed Ore, the digital, geological database keeping the data of in-situ lithology and the simulation models of the transportation system, necessary to evaluate the composition of the blended Ore. The assumptions of the proposed solution and the plan of necessary in-situ tests (with the special respect to harsh environment of

  • project disire h2020 an idea of annotating of Ore with sensors in kghm polska miedz s a underground Copper Ore mines
    E3S Web of Conferences, 2016
    Co-Authors: Witold Kawalec, Leszek Jurdziak, Robert Krol, Radoslaw Zimroz, Marek Jach, Radoslaw Pilut
    Abstract:

    The lithological composition of the Copper Ore delivered to the mills, when recognised in advance, is considered as the most important factor for the proper settings of grinding/milling equipment that can both decrease the specific energy consumption of Ore processing and increase metal recovery. In order to address this problem, the idea of the use of sensors for in-situ sensing with respect to adaptation to harsh environment of Copper Ore conveying in the underground mines was investigated. The in-situ sensors information carrying pellets, are planned to be used for annotating the Copper Ore for the needs of Ore processing plants control. The improved identification of the lithological composition of Ore can be achieved by combination of annotating the stream of transported Ore with pellets that keep the information on the original location of the Ore (when they are dropped into the transported bulk material), the data of the in-situ lithology derived from the digital, Orebody structural and quality block model and the simulation analysis of the transportation system. The idea is being developed within the DISIRE project – a part of the SPIRE initiative, acting under the “Horizon 2020” framework program.

Tang Yan-bin - One of the best experts on this subject based on the ideXlab platform.