Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/532195
Title: | Application of Artificial Intelligence in Mining for Autonomous Inspection and Monitoring through Robotics and Visual Data Management |
Researcher: | Kaushal, Hitanshu |
Guide(s): | Bhatnagar, Anupam |
Keywords: | Engineering Engineering and Technology Engineering Geological |
University: | Maharana Pratap University of Agriculture and Technology |
Completed Date: | 2023 |
Abstract: | The case studies titled quotApplication of Artificial Intelligence in Mining for newlineAutonomous Inspection and Monitoring through Robotics and Visual Data newlineManagement,quot conducted in the years 2022 and 2023 at different locations in the state newlineof Rajasthan. The findings demonstrate the significant positive impact of drone newlinetechnology across various aspects of mining operations. newlineThe artificial intelligence is new normal in mining and its applications and newlineadvancements as per the usage in the mining field mainly can be used for predictive newlinemaintenance of equipment, optimizing resource extraction, and improving safety newlinemeasures through real-time monitoring and analysis. It helps in automating data newlineanalysis, identifying patterns in geological data for exploration, and enhancing newlinemineral identification and classification. For the analysis of scope of AI based drone newlinein various mining operations, four case studies were conducted in four different areas, newlinemining leases and green field area. The combination of area were selected in such a newlinefashion that each case study was carried out in a different terrain as well as addresses newlinefew objectives of present research and also elaborated research in a special field in newlineeach case study. Contd..... |
Pagination: | 230 |
URI: | http://hdl.handle.net/10603/532195 |
Appears in Departments: | Mining Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 380.4 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 780.04 kB | Adobe PDF | View/Open | |
03_content.pdf | 276.2 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 1.03 MB | Adobe PDF | View/Open | |
05_chapter1.pdf | 653.1 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 394.38 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 2.12 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 7.48 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 327.75 kB | Adobe PDF | View/Open | |
10_annexure.pdf | 8.97 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 522.41 kB | Adobe PDF | View/Open |
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