The Effectiveness of Automation in Harvester Control Systems
DOI:
https://doi.org/10.37482/0536-1036-2026-4-201-212Keywords:
harvester, logging equipment, logging vehicle, harvester efficiency, daily output, harvester productivity, control automation, control automation system, intelligent control system, hydraulic manipulatorAbstract
Due to sanctions, forestry enterprises have faced a number of challenges. The need to upgrade and repair logging equipment is among them. Leading international logging equipment manufacturers are constantly improving their equipment by implementing innovative technologies. The use of the Intelligent Boom Control (IBC) system for partially automated hydraulic manipulator control on forestry machines is one of the solutions. Therefore, it became necessary to evaluate the performance of logging machines with regard to new technical specifications (implementation of innovative hydraulic manipulator control systems), particularly in comparison with alternative logging machines. The research aims to analyze the performance of wheeled and tracked harvesters, considering the impact of modern hydraulic manipulator control systems. Objectives: 1. Creating a database and evaluate the actual performance metrics of harvesters based on the Sany SY245F excavator, the John Deere 1270G 6WD harvester, and the John Deere 1270G 8WD harvester equipped with the IBC system. 2. Developing a statistical model using regression analysis to describe the performance of harvesters under the studied natural and operating conditions. 3. Justifying the conclusions and drawing up recommendations on the use of wheeled and tracked harvesters. We have carried out a comparative assessment of the actual performance metrics of the studied harvesters. The analysis showed that the John Deere 1270G 8WD harvester with the IBC system had a higher daily output compared to the John Deere 1270G 6WD model (1.32 times higher) and the harvester based on the Sany SY245F crawler excavator (1.54 times higher). A regression model has been developed to predict changes in daily power generation under the studied natural and operating conditions. The assessment results are consistent with other studies and confirm the steady improvement in the efficiency of logging machines with the adoption of innovative technologies. However, it should be considered that the increased complexity of the manipulator control system leads to higher equipment costs and operating expenses.
Acknowledgments: We sincerely appreciate the support and information provided by the representatives and management of AO Kondopoga Timber Industry Enterprise.
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Акционерное общество «Кондопожское лесопромышленное хозяйство». Режим доступа: https://klpkh.com/ (дата обращения: 12.08.23). AO Kondopoga Timber Industry Enterprise: Official Website. (In Russ.).
Васенёв М.Ю. Перспективные направления автоматизации современных лесозаготовительных машин // Системы. Методы. Технологии. 2018. № 3(39). С. 125–129. Vasenev M.Yu. Perspective Trends of Modern Logging Machines Automation. Systems. Methods. Technologies, 2018, no. 3(39), pp. 125–129. (In Russ.). https://doi.org/10.18324/2077-5415-2018-3-125-129
Герасимов Ю.Ю., Сибиряков K.Н., Мошков С.Л., Вяльккю Э., Карвинен С. Расчет эксплуатационных затрат лесосечных машин. Йоэнcуу: НИИ леса Финляндии, 2009. 46 с. Gerasimov Yu.Yu., Sibiryakov K.N., Moshkov S.L., Välkkyu E., Karvinen S. Calculation of Operating Costs of Forest Machines. Joensuu, Finnish Forest Research Institute Publ., 2009. 46 p. (In Russ.).
Герасимов Ю.Ю., Сюнев В.С. Экологическая оптимизация технологических процессов и машин для лесозаготовок. Йоэнсуу: Изд-во ун-та Йоэнсуу. 1998. 178 с. Gerasimov Yu.Yu., Syunev V.S. Ecological Optimization of Technological Processes and Machinery for Logging. Joensuu, Joensuu University Publ., 1998. 178 p. (In Russ.).
Григорьев И.В., Куницкая О.А., Рудов С.Е., Давтян А.Б. Пути повышения эффективности работы лесных машин // Энергия: экономика, техника, экология. 2020. № 1. С. 55–63. Grigoriev I.V., Kunitskaya O.A., Rudov S.E., Davtyan A.B. Ways to Improve the Efficiency of Forest Machines. Energiia: ekonomika, tekhnika, ekologiia, 2020, no. 1, pp. 55–63. (In Russ.). https://doi.org/10.7868/S0233361920010085
Гусеничный трактор ТСН-4 // Алтайский тракторный завод «Гранд». Режим доступа: https://tt-4.ru/traktor/ (дата обращения: 25.02.25). Catterpillar Tractor TSN-4. Altai Tractor Plant “Grand”. (In Russ.).
Карелия Палп. Режим доступа: http://karjalapulp.com/ (дата обращения: 12.08.23). Karelia Pulp: Official Website. (In Russ.).
Кузнецов А.В., Гайда А.А. Сравнительный анализ эффективности харвестеров зарубежного производства // Resources and Technology. Петрозаводск, 2024. Т. 21, № 1. С. 100–112. Kuznetsov A.V., Gayda A.A. Comparative Analysis of Foreign-Made Harvesters Efficiency. Resources and Technology, 2024, vol. 21, no. 1, pp. 100–112. (In Russ.). https://doi.org/10.15393/j2.art.2024.7543
Кузнецов А.В., Галактионов О.Н. Анализ производства лесозаготовительных машин в России // Инженерн. вестн. Дона. 2023. № 4. С. 712–722. Kuznetsov A.V., Galaktionov O.N. Analysis of Forest Machines Production in Russia. Engineering journal of Don, 2023, no. 4, pp. 712–722. (In Russ.).
Лесной экскаватор // Спецмашинери. Режим доступа: https://sanysibir.ru/catalog/spetsialnyie-ekskavatoryi/lesnoy-ekskavator/sany-sy245f-gb-ii/ (дата обращения: 03.04.25). Forest Excavator. Spetsmashinery. (In Russ.).
Продукция // XUVOL – качество создает будущее: офиц. сайт. Режим доступа: https://ru.xuvol.com/Products_index.html (дата обращения: 25.02.25). Products. XUVOL – Quality Shapes the Future: Official Website. (In Russ.).
Скрыпник В.И., Кузнецов А.В., Васильев А.С., Сапожков Д.В., Зайцев В.Г. Обоснование направлений совершенствования лесозаготовительных машин. Петрозаводск: Verso, 2016. 93 с. Skrypnik V.I., Kuznetsov A.V., Vasilyev A.S., Sapozhkov D.V., Zaitsev V.G. Justification of Directions for Improving Logging Machines. Petrozavodsk, Verso Publ., 2016. 93 p. (In Russ.).
Соколов А.П., Селиверстов А.А., Суханов Ю.В., Сенькин В.А. О влиянии частичной автоматизации управления манипуляторами на эргономические показатели лесозаготовительных машин // Лесн. вестн. / Forestry Bulletin. 2023. Т. 27, № 1. С. 139–152. Sokolov A.P., Seliverstov A.A., Sukhanov Yu.V., Sen’kin V.A. Ergonomic Evaluation of Forestry Crane Partial Automation System. Lesnoy vestnik = Forestry Bulletin, 2023, vol. 27, no. 1, pp. 139–152. (In Russ.). https://doi.org/10.18698/2542-1468-2023-1-139-152
Форвардер МТБ-18 // Производство России: интернет-выставка. Режим доступа: https://productcenter.ru/products/76868/forvardier-mtb-18 (дата обращения: 25.02.25). Forwarder MTB-18. Made in Russia: Online Exhibition. (In Russ.).
Форвардер Тром 20 // Тром. Режим доступа: https://trom20.ru/ (дата обращения: 25.02.25). Forwarder Trom 20. Trom. (In Russ.).
Харвестеры и форвардеры // Амкодор. Каталог. Режим доступа: https://amkodor.by/catalog/ (дата обращения: 25.02.25). Harvesters and Forwarders. Amkodor. Catalogue. (In Russ.).
Apafaian A.I., Proto A.R., Borz S.A. Performance of a Mid-Sized Harvester-Forwarder System in Integrated Harvesting of Sawmill, Pulpwood and Firewood. Annals of Forest Research, 2017, vol. 60(2), pp. 227–241. https://doi.org/10.15287/afr.2017.909
Cadei A. The Eco-Efficiency of Forest Operations in Complex Scenarios and the Role of Harvesting and Transportation System on the Carbon Balance. PhD Thesis. University of Padova, 2023. 152 p.
Eriksson M., Lindroos O. Productivity of Harvesters and Forwarders in CTL Operations in Northern Sweden Based on Large Follow-Up Datasets. International Journal of Forest Engineering, 2014, vol. 25, iss. 3, pp. 179–200. https://doi.org/10.1080/14942119.2014.974309
Grabowski D., Kowalska J., Bembenek M., Mederski P. Intelligent Boom Control System on Forwarder – Inexperienced Operator Benefits More. Proceedings of the 56th International Symposium on Forest Mechanization (FORMEC). Gdansk, Poland, 2024. 97 p.
Hartsch F., Schönauer M., Pohle Ch., Breinig L., Wagner T., Jaeger D. Effects of Boom-Tip Control and a Rotating Cabin on Loading Efficiency of a Forwarder: A Pilot Study. Croatian Journal of Forest Engineering, 2024, vol. 45, no. 1. 14 p. https://doi.org/10.5552/crojfe.2024.2179
Manner J., Gelin O., Mörk A., Englund M. Forwarder Crane’s Boom Tip Control System and Beginner-Level Operators. Silva Fennica, 2017, vol. 51, no. 2, art. 1717. https://doi.org/10.14214/sf.1717
Manner J., Lundström H. The Effect of Forked Trees on Harvester Time Consumption in a Pinus contorta Final-Felling Stand. Silva Fennica, 2024, vol. 58, no. 4, art. 24039. https://doi.org/10.14214/sf.24039
Manner J., Mörk A., Englund M. Comparing Forwarder Boom-Control Systems Based on an Automatically Recorded Follow-up Dataset. Silva Fennica, 2019, vol. 53, no. 2, art. 10161. https://doi.org/10.14214/sf.10161
Robotics and Automation for Improving Agriculture. Ed. by Prof. J. Billingsley. Burleigh Dodds Science Publishing, 2019. 326 p.
Sokolov A.P., Seliverstov A.A., Suhanov Yu.V. Statistical Analysis of Forest Machines Ergonomic Parameters. BIO Web of Conferences, 2024, vol. 93, art. 01023. https://doi.org/10.1051/bioconf/20249301023
Stankic I., Poršinsky T., Tomašić Ž., Tonkovic I., Frntic M. Productivity Models for Operational Planning of Timber Forwarding in Croatia. Croatian Journal of Forest Engineering, 2012, no. 33, pp. 61–78.
Syunev V.S., Sokolov A.P., Konovalov A.P., Katarov V.K., Seliverstov A.A., Gerasimov Yu.Yu., et al. Comparison of Wood Harvesting Methods in the Republic of Karelia. Working Papers of the Finnish Forest Research Institute. Joensuu, Finland, Melta, 2009, no. 120, p. 117.
Zemánek T., Fiľo P. Influence of Intelligent Boom Control in Forwarders on Performance of Operators. Croatian Journal of Forest Engineering, 2022, vol. 43, no. 1, pp. 47–64. https://doi.org/10.5552/crojfe.2022.965
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Copyright (c) 2026 Kuznetsov A.V., Galaktionov O.N., Seliverstov A.A., Gaida A.A.
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