Laser scanning for complete wear history capture and life cycle data analysis in the mining industry

被引:0
|
作者
Outotec Pty. Ltd., 40 Kings Park Road, West Perth [1 ]
6102, Australia
不详 [2 ]
FI-02231, Finland
机构
来源
Int. J. COMADEM | / 4卷 / 21-25期
关键词
Surface analysis - Cost benefit analysis - Data handling - Grinding (machining) - Software design - Data acquisition - Thickness measurement - Laser applications;
D O I
暂无
中图分类号
学科分类号
摘要
Laser scanning has become an accepted and common technology for collecting spatial data on a wide range of objects. This new technology has been developed to capture the entire wear history inside grinding mills and gyratory crushers using laser scanners for data collection. Sacrificial wear liners are installed in mills and crushers and form the working components in breaking ore down to the required size. It is critical that these wear liners do not run to failure and expose the structural members behind them to damage, however it is equally important to extract as much life as possible from the liners before calling a shutdown which is expensive in cost and in downtime. Detailed and thorough analysis of the life cycle is hampered by the fact that, with conventional manual data acquisition methods, only a limited subset of the thickness measurements required for this analysis can be collected due to practical constraints. The introduction of laser scanning technology removes this constraint and instead of 10 to 20 measurements being made inside a 13 metre diameter vessel, 10 million data points can now be collected. Crucially, software development has focussed on not only processing this data to provide accurate thickness measurement but also on data extraction techniques and analysis tools to enable the critical questions to be asked and answered. For example, intelligent forecasts can now be made on how many tonnes can be processed in the future before a shutdown is required. The database of past liner life cycles is used to inform and modify the predicted behaviour of the current liner set, resulting in much more accurate and intelligent predictions. This paper will describe the data collection methodology, how the data is processed to generate useful information and some case studies where analysis of a complete life cycle has lead to substantial improvements in production and reductions in the cost of operation.
引用
收藏
相关论文
共 50 条
  • [41] Glass industry and environment: opportunity and approach of the Life Cycle Analysis
    Mari, EA
    BOLETIN DE LA SOCIEDAD ESPANOLA DE CERAMICA Y VIDRIO, 2002, 41 (04): : 399 - 403
  • [42] Identifying Key Information on Life Cycle of Engineering Data by Graph Convolutional Networks and Data Mining
    Ren, Lijing
    Zhang, Denghui
    BUILDINGS, 2022, 12 (08)
  • [43] Application of exergy analysis and life cycle assessment to the oil industry
    Portha, Jean-Francois
    Archane, Anas
    Pons, Marie-Noelle
    Jaubert, Jean-Noel
    Burkhardt, Thorsten
    Hoffmann, Frederic
    ECOS 2006: PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON EFFICIENCY, COST, OPTIMIZATION, SIMULATION AND ENVIRONMENTAL IMPACT OF ENERGY SYSTEMS, VOLS 1-3, 2006, : 801 - +
  • [44] Critical analysis of the Life Cycle Assessment of the Italian cement industry
    Moretti, L.
    Caro, S.
    JOURNAL OF CLEANER PRODUCTION, 2017, 152 : 198 - 210
  • [45] Research on big data mining and fault prediction based on elevator life cycle
    Wang, Chen
    Feng, Shuangchang
    2020 INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2020), 2020, : 103 - 107
  • [46] Demand Forecasting of Short Life Cycle Products Using Data Mining Techniques
    Afifi, Ashraf A.
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2020, PT I, 2020, 583 : 151 - 162
  • [47] A methodology and life cycle model for data mining and knowledge discovery in precision agriculture
    Lee, SW
    Kerschberg, L
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2882 - 2887
  • [48] ASSESSMENT OF ACTUAL ORE LOSSES AND DILUTION BASED ON LASER SCANNING DATA AT UNDERGROUND MINING
    Baranovsky, K., V
    Kharisova, O. D.
    PROCEEDINGS OF THE TULA STATES UNIVERSITY-SCIENCES OF EARTH, 2018, 4 : 135 - 147
  • [49] Mining life cycle modelling: a cradle-to-gate approach to environmental management in the minerals industry
    Durucan, Sevket
    Korre, Anna
    Munoz-Melendez, Gabriela
    JOURNAL OF CLEANER PRODUCTION, 2006, 14 (12-13) : 1057 - 1070
  • [50] Multistate Models for the Analysis of Life History Data
    Aalabaf-Sabaghi, Morteza
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2019, 182 (03) : 1108 - 1109