Izvorni znanstveni članak
Estimating the Position of the Harvester Head – a Key Step towards the Precision Forestry of the Future?
Ola Lindroos
orcid.org/0000-0002-7112-4460
; Department of Forest Biomaterials and Technology Swedish University of Agricultural Sciences SE-901 83 Umeå SWEDEN
Ola Ringdahl
; Department of Computing Science Umeå University SE-901 87 Umeå SWEDEN
Pedro La Hera
; Department of Forest Biomaterials and Technology Swedish University of Agricultural Sciences SE-901 83 Umeå
Peter Hohnloser
; Department of Computing Science Umeå University SE-901 87 Umeå SWEDEN
Thomas Hellström Hellström
; Department of Computing Science Umeå University SE-901 87 Umeå SWEDEN
Sažetak
Modern harvesters are technologically sophisticated, with many useful features such as the ability to automatically measure stem diameters and lengths. This information is processed in real time to support value optimization when cutting stems into logs. It can also be transferred from the harvesters to centralized systems and used for wood supply management. Such information management systems have been available since the 1990s in Sweden and Finland, and are constantly being upgraded. However, data on the position of the harvester head relative to the machine are generally not recorded during harvesting. The routine acquisition and analysis of such data could offer several opportunities to improve forestry operations and related processes in the future. Here, we analyze the possible benefits of having this information, as well as the steps required to collect and process it. The benefits and drawbacks of different sensing technologies are discussed in terms of potential applications, accuracy and cost. We also present the results of preliminary testing using two of the proposed methods.
Our analysis indicates that an improved scope for mapping and controlling machine movement is the main benefit that is directly related to the conduct of forestry operations. In addition, there are important indirect benefits relating to ecological mapping. Our analysis suggests that both of these benefits can be realized by measuring the angles of crane joints or the locations of crane segments and using the resulting information to compute the head's position. In keeping with our findings, two companies have recently introduced sensor equipped crane solutions.
Ključne riječi
boom tip control; automation; ALS; sensors; harvester data
Hrčak ID:
151776
URI
Datum izdavanja:
1.10.2015.
Posjeta: 2.097 *