According to GlobalData’s Technology Foresights, which uses over 70,000 patents to analyze innovation intensity for the mining industry, there are 40+ innovation areas that will shape the future of the industry.
Tunnel path modeling is a key innovation area in artificial intelligence
Tunnel path modeling is the process of creating detailed and accurate representations of the planned or existing tunnel routes within a mining operation. These models are typically developed using various technologies, such as computer-aided design (CAD), geographic information systems (GIS), or specialized tunnel design software. Tunnel path modeling plays a crucial role in the planning, design, construction, and maintenance of tunnels in mining for several factors such as visualization, optimization, safety, environmental considerations, geological analysis, structural integrity, cost estimation, project management, and maintenance.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 20+ companies, spanning technology vendors, established mining companies, and up-and-coming start-ups engaged in the development and application of tunnel path modeling.
Key players in tunnel path modeling – a disruptive innovation in the mining industry
‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to tunnel path modeling
Source: GlobalData Patent Analytics
JFE and Sandvik are among the leading patent filers in tunnel path modeling. Sandvik’s iSURE®8 software, also known as Intelligent Sandvik Underground Rock Excavation software, is a computer program used for tunneling and mining drill and blast processes control. It generates detailed data in order to optimize the drilling and blasting cycle. In terms of application diversity, Maanshan Iron and Steel leads the pack, while Sandvik and ArcelorMittal stood in the second and third positions, respectively. By means of geographic reach, Sandvik held the top positions, followed by Proterial and ArcelorMittal.
To further understand the key themes and technologies disrupting the mining industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Mining.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
