Articles containing the keyword 'assistance system'

Crane work accounts for the majority of a harvester’s productive working time. Boom-tip control assists operators by coordinating end-effector movements, offering the potential to improve productivity. With boom-tip control, the operator steers the boom-tip directly rather than controlling individual crane joints. Despite being commercially available for several years, research on boom-tip control’s impact on harvester work – particularly compared to forwarder work – is limited. Therefore, this study analysed the effect of boom-tip control on harvester time consumption (s m^-3) in final-felling stands, involving two experienced operators (A and B) driving a John Deere 1470G harvester. John Deere’s boom-tip control system, Intelligent Boom Control (IBC), was compared to a conventional boom-control system. Data were analysed separately for each operator. While operator A saved time using IBC, no statistically significant difference between IBC and the conventional boom-control system was observed for operator B. For operator A, IBC reduced total time consumption (s m^-3) by approximately 10%. The results indicate a need for further research, involving multiple machine manufacturers, operators, and work environments such as thinning and final-felling stands. Moreover, future studies should preferably utilise automated data recording to generate large follow-up datasets on harvester work.

• Manner, Skogforsk, Uppsala Science Park, 751 83 Uppsala, Sweden https://orcid.org/0000-0002-4982-3855 E-mail: jussi.manner@skogforsk.se
• Lundström, Skogforsk, Uppsala Science Park, 751 83 Uppsala, Sweden E-mail: hagos.lundstrom@skogforsk.se

The productivity of cut-to-length machine operators exhibits a significant disparity, with the most productive individuals demonstrating twice the efficiency of their less productive counterparts. This discrepancy is largely attributed to variations in work methods. While supervised training has proven effective in streamlining work methods and enhancing productivity, the availability of forest-machine instructors for supervision is limited. Intelligent coaching systems (ICS) are periodically proposed to address this constraint. ICS are computer-based aids that offer machine operators real-time feedback on their work and guide them on how to rationalize their work. The successful implementation of ICS initially requires the development of systems for automatic work-element detection (AWED). Therefore, this article explores the history, current status, and technological possibilities of AWED. Additionally, key features of ICS are briefly reviewed. Lastly, a broader, interdisciplinary discussion is initiated on how to strategically allocate limited research resources. Questions surrounding the feasible ambition level for ICS and AWED are raised, prompting considerations for the next steps in research and development.

• Manner, Skogforsk, Uppsala Science Park, 751 83 Uppsala, Sweden https://orcid.org/0000-0002-4982-3855 E-mail: jussi.manner@skogforsk.se