Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste
The snow is an increasingly precious commodity to the ski industry's production of pistes. To preserve this commodity is the basis for economic production. The wear on the groomed snow consists primarily of two reasons: skiers and melting. A slope that is optimally processed will last longer an...
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Luleå tekniska universitet, Geoteknologi
2013
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ftluleatu:oai:DiVA.org:ltu-22075 2023-05-15T17:09:15+02:00 Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste Söderström, Patrik Knutsson, Sven Olofsson, Thomas Edeskär, Tommy Mårtensson, Stefan Zeinali, Amin 2013 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-22075 eng eng Luleå tekniska universitet, Geoteknologi Luleå tekniska universitet, Byggkonstruktion och -produktion ATCON AB Luleå orcid:0000-0002-1365-8552 orcid:0000-0002-5661-5237 orcid:0000-0002-3390-3113 orcid:0000-0001-7800-7075 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-22075 Local 167623c0-d76a-4e20-a44d-c3a589678ac6 info:eu-repo/semantics/openAccess Snow grooming machine guidance terrain models GNSS piste management Geotechnical Engineering Geoteknik Construction Management Byggproduktion Report info:eu-repo/semantics/report text 2013 ftluleatu 2022-10-25T20:58:56Z The snow is an increasingly precious commodity to the ski industry's production of pistes. To preserve this commodity is the basis for economic production. The wear on the groomed snow consists primarily of two reasons: skiers and melting. A slope that is optimally processed will last longer and require less maintenance. In addition to this obvious that maintenance must be planned based on where wear has taken place there is an additional planning variable, namely time. Timing is of utmost importance when it comes to snow as a material. A process model will be presented covering a systematic approaches how road construction technologies can be adapted to the snow grooming process. The expected results are a process model which can be used in order to optimize the snow grooming management in order to extend the skiing season. There is possibly two ways of doing this. Firstly to optimize the snow mass haul management process during the skiing season. Secondly re-build the different piste off season to create better environmental conditions during season. This study consists of four kinds of data. Laser scanned data for 3D terrain modeling of ski piste (ground) and collected data by snow groomer for 3D terrain modeling of ski piste during the objective period of investigation. The differences between 3D terrain models by laser scanning and snow groomer is representative of snow depth for corresponding day. Furthermore, in order to verify the method, snow depth and snow surface are measured by group of students from Luleå University of Technology. Godkänd; 2013; 20130705 (amizei) Report Luleå Luleå Luleå Luleå University of Technology Publications (DiVA) Ormberget ENVELOPE(9.449,9.449,62.692,62.692) |
institution |
Open Polar |
collection |
Luleå University of Technology Publications (DiVA) |
op_collection_id |
ftluleatu |
language |
English |
topic |
Snow grooming machine guidance terrain models GNSS piste management Geotechnical Engineering Geoteknik Construction Management Byggproduktion |
spellingShingle |
Snow grooming machine guidance terrain models GNSS piste management Geotechnical Engineering Geoteknik Construction Management Byggproduktion Söderström, Patrik Knutsson, Sven Olofsson, Thomas Edeskär, Tommy Mårtensson, Stefan Zeinali, Amin Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
topic_facet |
Snow grooming machine guidance terrain models GNSS piste management Geotechnical Engineering Geoteknik Construction Management Byggproduktion |
description |
The snow is an increasingly precious commodity to the ski industry's production of pistes. To preserve this commodity is the basis for economic production. The wear on the groomed snow consists primarily of two reasons: skiers and melting. A slope that is optimally processed will last longer and require less maintenance. In addition to this obvious that maintenance must be planned based on where wear has taken place there is an additional planning variable, namely time. Timing is of utmost importance when it comes to snow as a material. A process model will be presented covering a systematic approaches how road construction technologies can be adapted to the snow grooming process. The expected results are a process model which can be used in order to optimize the snow grooming management in order to extend the skiing season. There is possibly two ways of doing this. Firstly to optimize the snow mass haul management process during the skiing season. Secondly re-build the different piste off season to create better environmental conditions during season. This study consists of four kinds of data. Laser scanned data for 3D terrain modeling of ski piste (ground) and collected data by snow groomer for 3D terrain modeling of ski piste during the objective period of investigation. The differences between 3D terrain models by laser scanning and snow groomer is representative of snow depth for corresponding day. Furthermore, in order to verify the method, snow depth and snow surface are measured by group of students from Luleå University of Technology. Godkänd; 2013; 20130705 (amizei) |
format |
Report |
author |
Söderström, Patrik Knutsson, Sven Olofsson, Thomas Edeskär, Tommy Mårtensson, Stefan Zeinali, Amin |
author_facet |
Söderström, Patrik Knutsson, Sven Olofsson, Thomas Edeskär, Tommy Mårtensson, Stefan Zeinali, Amin |
author_sort |
Söderström, Patrik |
title |
Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
title_short |
Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
title_full |
Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
title_fullStr |
Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
title_full_unstemmed |
Snow grooming using machine guidance for piste management processes : Case study: Ormberget ski piste |
title_sort |
snow grooming using machine guidance for piste management processes : case study: ormberget ski piste |
publisher |
Luleå tekniska universitet, Geoteknologi |
publishDate |
2013 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-22075 |
long_lat |
ENVELOPE(9.449,9.449,62.692,62.692) |
geographic |
Ormberget |
geographic_facet |
Ormberget |
genre |
Luleå Luleå Luleå |
genre_facet |
Luleå Luleå Luleå |
op_relation |
orcid:0000-0002-1365-8552 orcid:0000-0002-5661-5237 orcid:0000-0002-3390-3113 orcid:0000-0001-7800-7075 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-22075 Local 167623c0-d76a-4e20-a44d-c3a589678ac6 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766065252071374848 |