Assessing extraction trail trafficability using harvester CAN-bus data

dc.contributor.authorAla-Ilomäki J
dc.contributor.authorSalmivaara A
dc.contributor.authorLauniainen S
dc.contributor.authorLindeman H
dc.contributor.authorKulju S
dc.contributor.authorFinér L
dc.contributor.authorHeikkonen J
dc.contributor.authorUusitalo J
dc.contributor.organizationfi=tietojenkäsittelytiede|en=Computer Science|
dc.contributor.organization-code1.2.246.10.2458963.20.23479734818
dc.converis.publication-id48886830
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/48886830
dc.date.accessioned2022-10-28T14:24:58Z
dc.date.available2022-10-28T14:24:58Z
dc.description.abstractModern forest machines with a Controlled Area Network (CAN)-bus managed diesel engine and hydrostatic transmission can continuously measure power expended in traveling. At a constant speed on level ground, the power is expended in overcoming motion resistance, which is directly related to wheel sinkage and hence to site trafficability. In cut-to-length timber harvesting, the harvester precedes the forwarder on the site, making it feasible to utilize the harvester to collect data on site trafficability to produce a trafficability map for the forwarder. CAN-bus trafficability mapping was tested with an 8-wheeled Ponsse Scorpion King harvester and an 8-wheeled Ponsse Elk forwarder instrumented for collecting transmission power expenditure, in addition to appropriate available CAN-bus information. Trafficability was also mapped based solely on momentary engine power in order to eliminate the need for additional pressure transducers. The CANbus data showed good results for mapping site trafficability when compared to soil penetration resistance and harvesting machinery wheel rut depth measurements. Assessing harvester rolling resistance using CAN-bus data offers an interesting possibility to map harvesting site trafficability also in Big Data scale. Since modern harvesters are practically ready for indirect power recording, the additional cost of fully automated and comprehensive trafficability mapping as part of operative forestry is negligible.
dc.format.pagerange138
dc.format.pagerange145
dc.identifier.eissn1913-2220
dc.identifier.jour-issn1494-2119
dc.identifier.olddbid188133
dc.identifier.oldhandle10024/171227
dc.identifier.urihttps://www.utupub.fi/handle/11111/39842
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/14942119.2020.1748958
dc.identifier.urnURN:NBN:fi-fe2021042826452
dc.language.isoen
dc.okm.affiliatedauthorHeikkonen, Jukka
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline4112 Forestryen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline4112 Metsätiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherTAYLOR & FRANCIS INC
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1080/14942119.2020.1748958
dc.relation.ispartofjournalInternational Journal of Forest Engineering
dc.relation.issue2
dc.relation.volume31
dc.source.identifierhttps://www.utupub.fi/handle/10024/171227
dc.titleAssessing extraction trail trafficability using harvester CAN-bus data
dc.year.issued2020

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