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The initial form of the Body of Knowledge for Mining Geomatics (BoKforMG)


BoKforMG is the systematic collection of terms, constructs, models and principles of a given skill area that result from the discovery and validation of concepts within a given professional group. As this is the first attempt to describe such a range of knowledge and skills, this inventory will be limited to a list of principles preliminarily characterising the conceptual scope and problems associated with the operation of spatial data processing systems in mining operations.



Single Geodetic Coordinate System at the Mine Site


One coordiante systems is a very important element of building a spatially coherent mine information resource..



Management of Spatial Data Acquisition


Mining geomatics is primarily concerned with the integration of data based on spatial data acquired in the various technical departments of a mining site for reuse. These data form the basis for integrating the other mining data-geology, hydrogeology, seismic, mining design ventilation and others-into a single model (one data schema) that can be processed aggregated and supplemented with data from other sources. A single data schema does not imply the use of a single relational database for integration. The organisation of the schema can be based on different IT solutions. Geomatics can also deal with data supplementation by acquiring satellite, aerial or other data. Geomatics is also concerned with obtaining data externally from other business units or from state or local governments, and with making the data available internally as well as externally. The ability to build a data schema, supervise the flow of data and manage access to data from the content side is crucial.



Three-Dimensional Modelling of Mining Data


Another research issue is the development of a method for the three-dimensional presentation of mining data. A systematisation of excavation models needs to be introduced, which will determine the different degrees of complexity of the excavation presentation. This issue is one of several issues related to the visualisation of spatial data in mining. A good example is the visualisation of underground mine workings, which can be presented as four different models. This can be thought of in terms of the concept of LoD (level of detail) for an underground mine. The notion of LoD exists both in computer graphics and in the field of building object modelling in spatial information systems.



Big Data in Mining


In the field of geomatics, there is the problem of performing spatial analyses of large amounts of data. In mineral mining, the problem of large amounts of data requiring processing is also apparent. One of the earliest publications demonstrating the use of Big Data technology in mining concerned the use of this technology to analyse geological data in order to improve and refine mineral deposit models for mining companies. The amount of data of raster maps of the surface of mining areas as well as the amount of data from laser scanning of mine workings is so large that the processing time with traditional methods is too long and it becomes necessary to use Big Data. Big Data has also found its way into regional metal pollution risk assessment on a mining area basis.


The entire page is based on text from the publication: "Mining Geomatics", ISPRS International Journal of Geo-Information 2023, 12(7), 278;

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