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Development of a research vehicle platform to improve productivity and value-extraction in forestry
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0002-2342-1647
Swedish University of Agricultural Sciences, Department of Silviculture, Sveriges Lantbruksuniversitet, Swedish University of Agricultural Sciences, Svartberget.
Number of Authors: 3
2015 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 38, p. 68-73Article in journal (Refereed) Published
Abstract [en]

In spite of the high level of mechanization in most forestry operations there is a continuedneed for improvements in productivity and cost effectiveness. Automation of mechanised operations isone possible solution to achieve such improvements but new techniques that can acquire informationfrom the surroundings and make proper analyses rendering in streamlined or new work proceduresare prerequisites. Furthermore, product producers buying forest biomaterials often have certainquality wishes. As an addition to automatic work procedures, new technology can further be used toretrieve information for identification and selection of certain tree assortments with differentbiomaterial properties. In this way, performance-based delivery of tree biomaterial extracted withhighly automated work procedures has the possibility to be an enabler to continue the productivitydevelopment progress in the forest sector. The objective for this paper is therefore to summarizepossible technical needs for and to design an experimental research vehicle platform for academia andmachine developers to test and validate new solutions that could improve cost effectiveness inforestry. The platform is designed specifically to test and validate various control systems forautonomy and robotics and also to enable tests and validation of attachments, e.g. to enable betterplanting procedures or identification of trees with certain properties. Sensors are embedded in theplatform to register angles, rotation speed, etc., thus actualising machine automation as an enabler forperformance-based delivery of planting or of tree biomaterial assortments.

Place, publisher, year, edition, pages
2015. Vol. 38, p. 68-73
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design; Smart machines and materials (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-28718DOI: 10.1016/j.procir.2015.07.014ISI: 000381110000012Local ID: 29cb2f64-8251-4c22-a019-8487fe8a597dOAI: oai:DiVA.org:ltu-28718DiVA, id: diva2:1001922
Conference
International Through-Life Engineering Services Conference : 03/11/2015 - 04/11/2015
Projects
Fastelaboratoriet - VINNEXC
Note

Validerad; 2015; Nivå 1; 20150505 (haklid)

; Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-03-22Bibliographically approved
In thesis
1. A Methodology for Automation of Mechanized Forest Regeneration
Open this publication in new window or tab >>A Methodology for Automation of Mechanized Forest Regeneration
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
En Metodik för Automation av Mekaniserad Skogsföryngring
Abstract [en]

High quality forest regeneration is typically performed by a combination of site preparation through mounding and deep planting. These operations are performed either by mounders with subsequent manual planting, or by mechanized tree planting devices that creates mounds and, simultaneously, plant seedlings. These forest regeneration strategies are sustainably beneficial and have high development potential particularly regarding efficiency. Recent development in digitalization, sensing, IoT etc. has enabled new forest regeneration strategies. Hence, the objective of this thesis is therefore to develop a methodology for how automation can be used to improve sustainability in forestry and in forest regeneration operations in particular. The research has followed the Design Research Methodology in which success criteria was identified concurrently with analysis of the as-is situation. Then different sub-solutions forming the automation methodology was prescribed and validated in subsequent descriptive studies. To enable automation, it was found that data needs to be retrieved from surroundings while performing mounding or mechanized planting, whereby analyses of this data need to be used to make improved decisions of the machines’ working procedures. First, properties and characteristics of the surroundings on a clearcut were defined. Then, different ways to retrieve data from the surroundings were tested and evaluated. In addition, several ways of analyzing such data for improved decision making were found and validated. The information gained from data collection of surroundings and subsequent analyses further has potential to be improve activities beyond forest regeneration e.g. smart forwarding, customer adapted assortments, history tracking etc. To use as support for how decision making can be improved from such information, an experimental terrain vehicle platform for researchers and machine developers was developed to enable tests and validation of new solutions with special focus on autonomy and robotics, which requires a variety of data collected from both exteroceptive and proprioceptive sensors. The resulting methodology shows how forest regeneration can be automated in the short-term. Developed methods for data collection and analysis can enhance obstacle avoidance for mounding significantly, and thus contribute to increasing the share of continuously intermittent mounding conducted in Fennoscandia.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2018
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Mechanical Engineering Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
urn:nbn:se:ltu:diva-68031 (URN)978-91-7790-078-8 (ISBN)978-91-7790-079-5 (ISBN)
Public defence
2018-06-05, E632, Luleå tekniska universitet, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2018-03-26 Created: 2018-03-22 Last updated: 2018-04-24Bibliographically approved

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