TY - UNPB
T1 - Bim for Mining - Automated Generation of Information Models Using a Parametric Modelling Concept
AU - Salmi, Jyrki
AU - Ye, Zehao
AU - Ninić, J.
AU - Heikkilä, Rauno
PY - 2024/3/27
Y1 - 2024/3/27
N2 - The adoption of Building Information Modelling (BIM) across the construction industry has improved delivery and performance, fostered collaboration and innovation, and provided opportunities for a new level of automation. Although BIM technology has been widely adopted in other industries, its application in mining is still lagging far behind other sectors, due to factors as the scale, complexity and diversity of mining projects.The primary objective of this study is to investigate the features and adoption potential of BIM technology in the mining industry, which constitutes a new and still largely missing domain called Mining Information Modelling (MineBIM), with a particular focus on the automated generation of a Mine Information Model (MIM) from existing raw mine data.To address this domain gap, a method is presented for generating parametric models of as-excavated underground tunnels and geological block models for mining using analytical data on the surrounding rock formation. The input data for automatic modelling of excavated tunnels consists of either the point cloud data or the mesh model of the tunnel. Using this raw mine data, we developed and implemented an automated workflow to generate MIM for mining operations. Results are presented for 1) as-excavated tunnel network based on the as-designed tunnel cross-section, 2) as-excavated tunnel based on the surveyed tunnel walls of the underground mine, and 3) as-designed rock formation block model.Automatic generation of MIM from raw mine data was successfully achieved with parametric modeling. The results of these modelling tests can be utilized in the development of the MineBIM concept further and, from there, for the development of machine control, automation and digital twins in mining. As BIM awareness grows and the whole industry explores different BIM applications, we can expect to see new solutions that will improve efficiency, safety and sustainability across the mining industry.
AB - The adoption of Building Information Modelling (BIM) across the construction industry has improved delivery and performance, fostered collaboration and innovation, and provided opportunities for a new level of automation. Although BIM technology has been widely adopted in other industries, its application in mining is still lagging far behind other sectors, due to factors as the scale, complexity and diversity of mining projects.The primary objective of this study is to investigate the features and adoption potential of BIM technology in the mining industry, which constitutes a new and still largely missing domain called Mining Information Modelling (MineBIM), with a particular focus on the automated generation of a Mine Information Model (MIM) from existing raw mine data.To address this domain gap, a method is presented for generating parametric models of as-excavated underground tunnels and geological block models for mining using analytical data on the surrounding rock formation. The input data for automatic modelling of excavated tunnels consists of either the point cloud data or the mesh model of the tunnel. Using this raw mine data, we developed and implemented an automated workflow to generate MIM for mining operations. Results are presented for 1) as-excavated tunnel network based on the as-designed tunnel cross-section, 2) as-excavated tunnel based on the surveyed tunnel walls of the underground mine, and 3) as-designed rock formation block model.Automatic generation of MIM from raw mine data was successfully achieved with parametric modeling. The results of these modelling tests can be utilized in the development of the MineBIM concept further and, from there, for the development of machine control, automation and digital twins in mining. As BIM awareness grows and the whole industry explores different BIM applications, we can expect to see new solutions that will improve efficiency, safety and sustainability across the mining industry.
KW - Building Information Modelling (BIM)
KW - Mining Information Modelling (MineBIM)
KW - Mine Information Model (MIM)
U2 - 10.2139/ssrn.4774748
DO - 10.2139/ssrn.4774748
M3 - Preprint
BT - Bim for Mining - Automated Generation of Information Models Using a Parametric Modelling Concept
PB - SSRN
ER -