Details
| Translated title of the contribution | Project SEMT - Sensory material detection and boundary determination at the bucket-wheel excavator |
|---|---|
| Original language | German |
| Pages (from-to) | 227-235 |
| Number of pages | 9 |
| Journal | World of Mining - Surface and Underground |
| Volume | 65 |
| Issue number | 4 |
| Publication status | Published - Jul 2013 |
Abstract
The SEMT project developed, implemented and integrated into the bucket-wheel excavator a system for the automatic material detection using geoelectrics, and boundary-layer determination using GPR. The algorithms for the automatic measurement-data analysis were examined and tested in field measurements in an opencast mine. In this way, it was possible to demonstrate that different material types, like sands, gravels, clay and bess, can be detected using geoelectrics and the database-supported, automatic measurement-data analysis. Boundary layers are determined automatically by applying newly developed algorithms and logic filters which mainly use the feature examination of the frequency spectrum and energy content of the GPR measurement data. The penetration depth in cohesive materials amounts to only a few centimetres, meaning that any boundary layers located in or beneath these materials cannot be detected by the SEMT system. Thanks to higher penetration depths in other materials, like sand or gravel, boundary-layer points can be detected and calculated with a precision of ±0.1 m. Within the scope of a final measurement, it was possible to pinpointedly encounter and evidence boundary layers at different depths. An interpolation of the boundary-layer points calculated within one slew to form one connected boundary plane is not yet possible owing to the low measurement-data rate per slew.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Geotechnical Engineering and Engineering Geology
- Business, Management and Accounting(all)
- Strategy and Management
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In: World of Mining - Surface and Underground, Vol. 65, No. 4, 07.2013, p. 227-235.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Projekt SEMT
T2 - Sensorische Erkennung tier Materialart und Erfassung Tier Trennfläche am Schaufelradbagger
AU - Mathiak, Tobias
AU - Overmeyer, Ludger
AU - Gau, Veronika
PY - 2013/7
Y1 - 2013/7
N2 - The SEMT project developed, implemented and integrated into the bucket-wheel excavator a system for the automatic material detection using geoelectrics, and boundary-layer determination using GPR. The algorithms for the automatic measurement-data analysis were examined and tested in field measurements in an opencast mine. In this way, it was possible to demonstrate that different material types, like sands, gravels, clay and bess, can be detected using geoelectrics and the database-supported, automatic measurement-data analysis. Boundary layers are determined automatically by applying newly developed algorithms and logic filters which mainly use the feature examination of the frequency spectrum and energy content of the GPR measurement data. The penetration depth in cohesive materials amounts to only a few centimetres, meaning that any boundary layers located in or beneath these materials cannot be detected by the SEMT system. Thanks to higher penetration depths in other materials, like sand or gravel, boundary-layer points can be detected and calculated with a precision of ±0.1 m. Within the scope of a final measurement, it was possible to pinpointedly encounter and evidence boundary layers at different depths. An interpolation of the boundary-layer points calculated within one slew to form one connected boundary plane is not yet possible owing to the low measurement-data rate per slew.
AB - The SEMT project developed, implemented and integrated into the bucket-wheel excavator a system for the automatic material detection using geoelectrics, and boundary-layer determination using GPR. The algorithms for the automatic measurement-data analysis were examined and tested in field measurements in an opencast mine. In this way, it was possible to demonstrate that different material types, like sands, gravels, clay and bess, can be detected using geoelectrics and the database-supported, automatic measurement-data analysis. Boundary layers are determined automatically by applying newly developed algorithms and logic filters which mainly use the feature examination of the frequency spectrum and energy content of the GPR measurement data. The penetration depth in cohesive materials amounts to only a few centimetres, meaning that any boundary layers located in or beneath these materials cannot be detected by the SEMT system. Thanks to higher penetration depths in other materials, like sand or gravel, boundary-layer points can be detected and calculated with a precision of ±0.1 m. Within the scope of a final measurement, it was possible to pinpointedly encounter and evidence boundary layers at different depths. An interpolation of the boundary-layer points calculated within one slew to form one connected boundary plane is not yet possible owing to the low measurement-data rate per slew.
UR - http://www.scopus.com/inward/record.url?scp=84884892229&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:84884892229
VL - 65
SP - 227
EP - 235
JO - World of Mining - Surface and Underground
JF - World of Mining - Surface and Underground
SN - 1613-2408
IS - 4
ER -