1. Automated volume analysis of open pit mining productions based on time series aerial survey  
Zsolt Domozi John von Neumann Faculty of Informatics Óbuda University
Daniel Stojcsics
Andras Molnar
11/11/2018

2. Outline Problems of open-pit mine tracking
Surveys of artificial surface formations
New method in the survey: UAV
IT methods for tracking
Results
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3. Mining and tracking problems
Mine plan and reality doesn’t always match
Truck scales are precises until
Truck scales should be certified from time to time
Volume and weight is not in the correlation (wet, dry, material type etc)
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4. Assessment methods: plane and helicopter
Special devices: LIDAR, IMU, GPS
Well prepared, big staff
Too much preparation
High operation costs
Optimal only on large areas
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5. Assessment methods: multicopter
Complex control is necessary
Unfit to measure huge lands
High energy demand
Excellent to control small areas
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6. Assessment methods: RC plane
Small area to get off and land
Optimal for middle size areas
Low energy demand
Control without pilot license
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7. Idea: UAV and camera Hobbyking X8 Planned route Autopilot controlled
Canon camera with modded firmware
3D modell creation based on classic photos
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8. Photogrammetry Resolution: 10-24Mpixel (~3cm/pixel)
Picture overlap is 60%
Search of point-pairs on pictures (Harris algorythm)
Build up point-cloud and detect pair errors (RANSAC RANdom Sample Consensus)
Create of 3D object
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9. Investigation of active mine (1/3)
Plane weight is 3000gr
Planned route
Min 50% overlapping between pictures
50km/h speed
150m altitude
597 pictures, 3GByte
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10. Investigation of active mine (2/3)
Area is 600mx600m
Every picture has min 3 neighbor
Capture location and orientation of the frames can be determined
Spatial position of relevant pixels found in the picture can be determined
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11. Investigation of active mine (3/3)
Production of point cloud
Triangulation
Getting a full Digital surface model and point cloud
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12. Point cloud problems (1)
3D models created in different years ( )
Orientation and location (x,y,z) problems
Automatic solution to move and rotate models into “one”
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13. Point cloud problems (2)
Every model built up from 20M points
Almost impossible to find the best rotation matrix
Downscaling is a help to CPUs
With the rotation matrix finally we can eliminate the orientation and location problems
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14. Point cloud as a result
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15. Tracking: results Photos made about lot of mines with UAV
3D models compared with free 3D models, difference was checked
Geodetic measurements made on the introduced mine – just for back-check our calculations
Precision of volume calculation based on photogrammetry is excellent
Cost-efficient, fast method to calculate volume
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16. Questions and answers Zsolt Domozi mr.zsolt.domozi@ieee.org
Daniel Stojcsics
Andras Molnar
11/11/2018