Lesosibirsk, Krasnoyarsk, Russian Federation
Zheleznogorsk, Russian Federation
Lesosibirsk, Krasnoyarsk, Russian Federation
To date, the improvement of forest machines is aimed at increasing productivity using modern information sys-tems. The most complex operation in logging, which requires the experience and skill of the operator, is the manipulator control when gripper-cutting device is pointed to a tree. At "hard" capture of the tree as a result of inaccurate pointing of the manipulator, the sawed tree growing around the undergrowth is damaged, expensive equipment is damaged, there is a risk of tree falling in the undetermined direction, saw mechanism is destroyed. Also the time for pointing the manipulator and capture the tree increases, which significantly reduces the productivity of work. With constant concentration on a complex operation, the operator quickly becomes fatigued, which reduces his/her efficiency and attention. Not precise guidance of the manipulator and "hard" capture of the tree occurs quite often and can happen even with an experienced operator. The operations are performed by one algorithm, which means that they can be automated. In order to eliminate the above-mentioned shortcomings, a system of automatic guidance of gripper-cutting device on a tree and its gripping is proposed. It consists, apart from both technological equipment of the machine itself, a computer with a logging machine control system, two distance sensors, and touch sensor. The distance sensors are installed on the pick-up device and determine the location of the tree. The information from the sensors is fed to the computer of the forest machine, which controls the operating mechanisms of the manipulator of the forest machine. Controlled by the machine control system, actuators of hydromanipulator guide the gripper-cutting device onto the tree. The touch sensor is mounted on the body of the gripping device. When you touch the tree with the sensor, the tree is captured. With such an implementation, the accuracy and speed of guiding the cutting device onto the tree is increased, which leads to a reduction in operator fatigue, increased productivity of the forest machine, reduction of damage to trees and gripping device due to the partial automation of the process of guiding the cutting device on the tree and its capture
logging machine, gripper, operator, automation, robotics, manipulator, control system, tree gripping, productivity increase, operator fatigue
1. Baykova E.S., Mugin O.O., Tsyganov D.I. Razvitie issledovaniy v sfere robototekhniki v organizatsiyakh FANO Rossii [Development of research in the field of robotics in the organizations of the Russian Academy of Scienc-es] Izvestiya YuFU. Tekhnicheskie nauki [News of SFU. Technical science].2016. No. 1 (174). P. 219-227.
2. Barabanov D.V.. Mukhanov N.V. Obzor sistem pozitsionirovaniya primenyaemykh pri sozdanii robotizirovannykh ustanovok [A review of the positioning systems used to create robotic installations] V sbornike: Nauka i molodezh': novye idei i resheniya v APK Sbornik materialov Vserossiyskikh nauchno-metodicheskikh konferentsiy s mezhdunarodnym uchastiem. [In the collection: Science and youth: new ideas and solutions in the agro-industrial complex Collected materials of All-Russian scientific and methodological conferences with international par-ticipation] 2016. pp. 233-235,
3. Shegel'man I.R., Lauri-la Ya.T, Skrypnik V.I., Galaktionov O.N. Innovatsionnye tekhnologii lesosechnykh rabot: uchebnoe posobie [Innovative technologies of logging operations] Petrozavodsk: Verso, 2016. - 134 p.,
4. Karpachev S.P. Distantsionnoe upravlenie mashinami obespechivaet bezopasnost' truda v lesu [Remote control of machines ensures labor safety in the forest] Lesopromyshlennik. - 2008. - February-March (45). pp. 28-29.
5. Lastochkin D.M., Onuchin E.M. Issledovanie nagruzhennosti prostranstvenno-privodnogo mekhanizma zakhvatno-srezayushchego ustroystva [Investigation of the loading of the space-driven mechanism of the gripper-cutting device] Politematicheskiy setevoy elektronnyy nauchnyy zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta [Political electronic scientific journal of the Kuban State Agrarian University]. 2013. No. 91. pp. 731-741.
6. Mokhirev A.P. Metodika vybora lesozagotovitel'nykh mashin pod prirodno-klimaticheskie usloviya [Methods of selecting logging machines for natural and climatic conditions] Lesotekhnicheskiy zhurnal [Lesotekhnichesky Journal]. 2016. Vol. 6. No. 4 (24). Pp 208-215. DOI: 10.12737 / 23459
7. Mokhirev A.P. Goryaeva E.V., Medvedev S.O. Otsenka tekhnologicheskikh protsessov lesozagotovitel'nykh predpriyatiy [Evaluation of technological processes of logging enterprises] Lesotekhnicheskiy zhurnal [Lesotekhnichesky Journal]. -2016. - Vol. 6. No. 4 (24). Pp 139-147. DOI:https://doi.org/10.12737/23448
8. Mokhirev A.P. Mammatov V.O., Urazaev A.P. Modelirovanie tekhnologicheskogo protsessa raboty lesozagotovitel'nykh mashin [Modeling of technological process of forest machines operation] Mezhdunarodnye nauchnye issledovaniya [International scientific research]. 2015. No.3 (24). pp. 72 -74.
9. Shobanov L.N., Shurgin A.I. Patent na izobretenie RU 2468573 S2. Sposob navedeniya rabochego organa manipulyatora lesnoy mashiny na ob"ekt [The way to set the working element of the manipulator of the forest machine to the object] No. 2468573, 2012.
10. Petukhov I.V. Chausov D.N., Belyaev V.V., Kurasov P.A., Tanryverdiev I.O. Zritel'noe utomlenie cheloveka-operatora v protsesse vospriyatiya informatsii s elektronnykh displeev [Visual fatigue of the human operator in the process of perceiving information from electronic displays] Vestnik Moskovskogo gosudarstvennogo oblastnogo universiteta. Seriya: Fizika-matematika [Bulletin of the Moscow State Regional University. Series: Physics and Mathematics]. 2014. No 2. pp. 87-94.,
11. Posmet'ev V.I. Nikonov V.O., Posmet'ev V.V. Otsenka aktual'nosti i obosnovanie vybora skhemy lesovoznogo avtomobilya s distantsionnym upravleniem [Assessment of the relevance and justification of the choice of the scheme of a forest vehicle with remote control] Lesotekhnicheskiy zhurnal [Lesotekhnichesky Journal]. 2017. Vol. 7. No. 1 (25). Pp. 211-218. DOI: 12737/25213.
12. Shegel'man I.R. Skrypnik V.I., Galaktionov O.N. Tekhnicheskoe osnashchenie sovremennykh lesozagotovok [Technical equipment of modern logging]. - SPb.: PROFI - INFORM, 2005. 337 p.
13. Shirnin Yu.A., Steshina L.A., Tanryverdiev I.O. Avtomatizatsiya otbora derev'ev pri vyborochnykh rubkakh lesa [Automation of tree selection in selective logging] Vestnik Moskovskogo gosudarstvennogo universiteta lesa - Lesnoy vestnik. [Bulletin of Moscow State University - Forest Bulletin]. 2014. No. S2. Pp. 19-23.
14. Aschoff, T.; Spiecker, H. Algorithms for the automatic detection of trees in laser scanner data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 2004, 36, 71-75.
15. Hyyppa, J.; Hyyppa, H.; Leckie, D.; Gougeon, F.; Yu, X.; Maltamo, M. Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests. Int. J. Remote Sens 2008, 29, 1339-1366.
16. Mettin, U.; Westerberg, S.; Shiriaev, A.S.; La Hera, P.X. Analysis of human-operated motions and trajectory replanning for kinematically redundant manipulators. Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 11-15 October 2009; pp. 795-800.
17. Posmetyev V. I., Zelikov V. A., Drapalyuk M. V., Latysheva M. A., Shatalov E. V. Substantiation and evalua-tion of effectiveness of perspective constructions of forest tractors ancillary equipment / ARPN Journal of Engineering and Applied Sciences. - 2016. - Vol. 11. - № 3 - pp. 1840-1855.
18. Rossmann, J.; Krahwinkler, P.; Schlette, C. Navigation of mobile robots in natural environments: Using sensor fusion in forestry. J. Syst. Cybern. Inform 2010, 8, 67-71.
19. Rossmann, J.; Schluse, M.; Schlette, C.; Buecken, A.; Krahwinkler, P.; Emde, M. Realization of a Highly Ac-curate Mobile Robot System for Multi Purpose Precision Forestry Applications. Proceedings of the 2009 International Conference on Advanced Robotics, ICAR 2009, Munich, Germany, 22-26 June 2009; pp. 1-6.,
20. Zheng, Y.; Liu, J.; Wang, D.; Yang, R. Laser scanning measurements on trees for logging harvesting opera-tions. Sensors 2012, 12, 9273-9285.
