Bryansk, Russian Federation
Voronezh, Russian Federation
from 01.01.2015 until now
Voronezh, Russian Federation
Russian Federation
Minsk, Belarus
UDK 630 Лесное хозяйство. Лесоводство
When organizing the work of logging machines, it is necessary to take into account not only their technical characteristics, but also their adaptation into a single digital space. In the absence of synchronization, the ability to control the volume of harvested wood, optimize sorting plans for maximum benefit, remotely monitor the technical condition of the tires, organize their effective maintenance and repair is reduced. The software used by the manufacturers of logging equipment "Ponsse", "Komatsu", "John Deere" was evaluated according to fourteen criteria for parameter control, machine maintenance management, personnel training using the method of intergroup relations (Jacquard measure), and visualized with a cluster diagram. The basis of digital systems is software solutions that allow integrating machines of only one brand into a single information space of the company, which narrows the field of their activity, and therefore reduces the effectiveness of their application. The existing models of digital ecosystems of the companies under consideration lack a module related to logging planning, which does not allow to effectively link the required amount of equipment (harvesters, forwarders, loaders, skidders) with the planned volumes of timber harvesting, as well as to coordinate their work and productivity with maintenance and repair. The imbalance of output volumes by different machines used in logging leads to downtime of the most productive (head) machines and a decrease in the total volume of their output to a minimum at one of the main operations.
software, "Ponsse", "Komatsu", "John Deere", forest complex, reforestation, logging, information space
1. Tolstykh T.O., Afonin S.E. Strategic development of scientific and technical potential of industry during the digital transformation of economy. Russian Journal of Industrial Economics. 2021;14(4):410-417. (In Russ.) https://doi.org/10.17073/2072-1633-2021-4-410-417
2. Erboz G. (2020). A qualitative study on industry 4.0 competitiveness in Turkey using Porter diamond model. Journal of Industrial Engineering and Management 13(2):266 DOI:https://doi.org/10.3926/jiem.2915
3. Gavrilović, N., Mishra, A. (2021). Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: analysis and improvement directions. J Ambient Intell Human Comput 12, 1315-1336. https://doi.org/10.1007/s12652-020-02197-3
4. Parshina I.S., Frolov E.B. Development of a digital twin of the production system on the basis of modern digital technologies. Ekonomika v promyshlennosti = Russian Journal of Industrial Economics, 2020. Vol. 13. No. 1. Pp. 29-34. (In Russ.). DOI:https://doi.org/10.17073/2072-1633-2020-1-29-34
5. Ashtari, Behrang & Jung, Tobias & Lindemann, Benjamin & Sahlab, Nada & Jazdi, Nasser & Schloegl, Wolfgang & Weyrich, Michael. (2019). An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. at - Automatisierungstechnik. 67. 762-72. DOI:https://doi.org/10.1515/auto-2019-0039.8
6. Shvedenko, Vladimir & Mozokhin, Andrey. (2020). Concept of digital twins at life cycle stages of production systems. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 20. 815-827.https://doi.org/10.17586/2226-1494-2020-20-6-815-827.
7. Programmnoe obespechenie dlya upravleniya lesohozyaystvennym i lesozagotovitel'nym processami: ocenka primenimosti / A. N. Zaikin, V. V. Sivakov, V. A. Zelikov [i dr.] // Lesotehnicheskiy zhurnal. 2022. T.12, № 1(45). S.96-109. DOIhttps://doi.org/10.34220/issn.2222-7962/2022.1/8
8. Danilović, Milorad & Antonić, Slavica & Stojnić, Dušan & Cirovic, Vladimir & Milikić, Dragiša. (2022). Productivity of Komatsu 951G harvester in tree felling and production wood assortments in forest area damaged by wind. Topola. 5-11. DOIhttps://doi.org/10.5937/topola2209005D.
9. Primenenie kompleksov lesozagotovitel'nyh mashin v usloviyah Respubliki Bashkortostan / A. N. Zaikin, V. V. Sivakov, N. A. Bulhov [i dr.] // Izvestiya vysshih uchebnyh zavedeniy. Lesnoy zhurnal. 2022. № 3(387). S. 139-152. DOIhttps://doi.org/10.37482/0536-1036-2022-3-139-152.
10. Labelle, Eric R. & Kemmerer, Julia. (2022). Business Process Reengineering of a Large-Scale Public Forest Enterprise Through Harvester Data Integration. Croatian journal of forest engineering. 43. DOI:https://doi.org/10.5552/crojfe.2022.1129.
11. Söderberg, Jon & Wallerman, Jörgen & Almäng, Anders & Möller, Johan & Willén, Erik. (2021). Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden. Scandinavian Journal of Forest Research. 36. 1-9. DOI:https://doi.org/10.1080/02827581.2021.1919751.
12. Gurskiy A.S. Ispol'zovanie transportnoy telematiki i distancionnoy diagnostiki dlya sovershenstvovaniya tehnicheskogo obsluzhivaniya i remonta transportnyh sredstv / A. S. Gurskiy, V. S. Ivashko // Izvestiya Nacional'noy akademii nauk Belarusi. Seriya fiziko-tehnicheskih nauk. 2020. T.65. №3. S.375-383. DOIhttps://doi.org/10.29235/1561-8358-2020-65-3-375-383.
13. Kim, Gyun-Hyung & Kim, Ki-Duck & Lee, Hyeon-Seung & Choi, Yunsung & Mun, Ho-Seong & Oh, Jae-Heun & Shin, Beom-Soo. (2021). Development of Wi-Fi-Based Teleoperation System for Forest Harvester. Journal of Biosystems Engineering. 46. DOI:https://doi.org/10.1007/s42853-021-00100-2.
14. Kemmerer, Julia & Labelle, Eric R.. (2021). Using harvester data from on-board computers: a review of key findings, opportunities and challenges. European Journal of Forest Research. 140. DOI:https://doi.org/10.1007/s10342-020-01313-4.
15. Kemmerer, Julia & Labelle, Eric R.. (2021). Using harvester data from on-board computers: a review of key findings, opportunities and challenges. European Journal of Forest Research. 140. DOI:https://doi.org/10.1007/s10342-020-01313-4.
16. Tehnicheskoe obsluzhivanie tehnologicheskih mashin na baze cifrovizacii / A. K. Tugengol'd, R. N. Voloshin, A. R. Yusupov, T. N. Kruglova // Vestnik Donskogo gosudarstvennogo tehnicheskogo universiteta. 2019. T. 19. № 1. S.74-80. DOIhttps://doi.org/10.23947/1992-5980-2019-19-1-74-80.
17. Pobedinskiy V. V., Lyahov S. V., Salihova M. N., Iovlev G. A. Modelirovanie processov TO i R parka lesozagotovitel'nyh mashin s uchetom proizvodstvennoy ekspluatacii // Derevoobrabatyvayuschaya promyshlennost'. 2020. № 4. S. 3-11. Rezhim dostupa: https://elibrary.ru/item.asp?id=44572456
18. Zaikin A. N., Sivakov V. V., Novikova T. P., Zelikov V. A., Stasyuk V. V., Chuykov A. S. Programmnoe obespechenie dlya upravleniya sistemoy tehnicheskogo obsluzhivaniya i remonta lesnyh mashin: ocenka primenimosti // Lesotehnicheskiy zhurnal. 2023. T.13. № 2 (50). S. 105-127. DOI:https://doi.org/10.34220/issn.2222-7962/2023.2/6.
19. Räty, Janne & Hauglin, Marius & Astrup, Rasmus & Breidenbach, Johannes. (2022). Assessing and mitigating systematic errors in forest attribute maps utilizing harvester and airborne laser scanning data. Canadian Journal of Forest Research. DOI:https://doi.org/10.1139/cjfr-2022-0053.
20. Lopatin, Evgeny & Väätäinen, Kari & Kukko, Antero & Kaartinen, Harri & Hyyppä, Juha & Holmström, Eero & Sikanen, Lauri & Nuutinen, Yrjö & Routa, Johanna. (2023). Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy. Forests. 14. 689. DOI:https://doi.org/10.3390/f14040689.
21. Ovaskainen, Heikki. (2005). Comparison of harvester work in forest and simulator environments. Silva Fennica. 39. DOI:https://doi.org/10.14214/sf.398.
22. Capecchi, Irene & Neri, Francesco & Borghini, Tommaso & Bernetti, Iacopo. (2023). Use of virtual reality technology in chainsaw operations, education and training. Forestry: An International Journal of Forest Research. DOI:https://doi.org/10.1093/forestry/cpad007.
23. Rukomoynikov, K.P. & Sergeeva, T.V. & Gilyazova, T.A. & Tsarev, E.M. & Anisimov, P.N. (2023). Modeling operation of forest harvester in AnyLogic simulation system. Forestry Bulletin. 27. 69-80. DOI:https://doi.org/10.18698/2542-1468-2023-3-69-80.
24. Zaikin A.N., Sivakov V.V., Nikitin V.V., Briones A.A. Programmnoe obespechenie v lesnom hozyaystve i pri lesozagotovkah // Lesnoy vestnik / Forestry Bulletin, 2023. T.27. № 4. S. 172-184. DOI:https://doi.org/10.18698/2542-1468-2023-4-172-184
25. Brewer, Julia & Talbot, Bruce & Belbo, Helmer & Ackerman, Pierre & Ackerman, Simon. (2018). A comparison of two methods of data collection for modelling productivity of harvesters: Manual time study and follow-up study using on-board-computer stem records. Annals of Forest Research. 61. DOI:https://doi.org/10.15287/afr.2018.962.
26. Ala-Ilomäki, Jari & Salmivaara, Aura & Launiainen, Samuli & Lindeman, Harri & Kulju, Sampo & Finér, Leena & Heikkonen, Jukka & Uusitalo, Jori. (2020). Assessing extraction trail trafficability using harvester CAN-bus data. International Journal of Forest Engineering. 31. 1-8. DOI:https://doi.org/10.1080/14942119.2020.1748958.
27. Salmivaara, Aura & Launiainen, Samuli & Perttunen, Jari & Nevalainen, Paavo & Pohjankukka, Jonne & Ala-Ilomäki, Jari & Sirén, Matti & Laurén, Ari & Tuominen, Sakari & Uusitalo, Jori & Pahikkala, Tapio & Heikkonen, Jukka & Finér, Leena. (2020). Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology. Forestry: An International Journal of Forest Research. 93. 662-674. DOI:https://doi.org/10.1093/forestry/cpaa010.
28. Gagliardi, Kayla & Ackerman, Simon & Ackerman, Pierre. (2020). Multi-Product Forwarder-Based Timber Extraction: Time Consumption and Productivity Analysis of Two Forwarder Models Over Multiple Products and Extraction Distances. Croatian journal of forest engineering. 41. DOI:https://doi.org/10.5552/crojfe.2020.736.
29. Piskunov M.A. Osobennosti rossiyskogo rynka lesozagotovitel'noy tehniki // Lesn. zhurn. 2020. №6. S.132-147. DOI:https://doi.org/10.37482/0536-1036-2020-6-132-147
30. Erpalov, A. & Khoroshevskii, K. & Gadolina, Irina. (2023). Actual problems of creating digital twins of machine engineering products in terms of durability assessment. Industrial laboratory. Diagnostics of materials. 89. 67-75. DOI:https://doi.org/10.26896/1028-6861-2023-89-8-67-75.
31. Novikov, A. I. Algoritm resheniya zadachi optimal'nogo raspredeleniya rabot v setevyh kanonicheskih strukturah / A. I. Novikov [i dr.] // Lesotehnicheskiy zhurnal. - 2014. - T. 4, № 4(16). - S. 309-317. - DOIhttps://doi.org/10.12737/8515. - Rezhim dostupa: https://elibrary.ru/tondhd.
32. Dorohin, S.V. Matematicheskaya model' raspredeleniya trudovyh resursov pri tehnicheskoy ekspluatacii i remonte avtotransportnyh sredstv / S. V. Dorohin [i dr.] // Aktual'nye voprosy innovacionnogo razvitiya transportnogo kompleksa. - Orel, 2016. - S. 133-139. https://elibrary.ru/vxxdjz.
33. Belyaeva, T. P. Optimal'noe planirovanie kompleksnyh proektov sozdaniya elektronnoy komponentnoy bazy / T. P. Belyaeva, A. P. Zatvornickiy // Informacionnye sistemy i tehnologii. - 2013. - № 3(65). - S. 5-10. https://elibrary.ru/ntnxin.
34. Novikova, T. P. Economic evaluation of mathematical methods application in the management systems of electronic component base development for forest machines / T. P. Novikova, A. I. Novikov // IOP Conference Series: Earth and Environmental Science. - 2019. - Vol. 392. - P. 012035. - DOI https://doi.org/10.1088/1755-1315/392/1/012035.
35. Sokolov, S. V. Determining the Initial Orientation for Navigation and Measurement Systems of Mobile Apparatus in Reforestation / S. V. Sokolov, A. I. Novikov, V. Ivetić // Inventions. - 2019. - Vol. 4, No. 4. - P. 56. - DOI https://doi.org/10.3390/inventions4040056.
36. How to Increase the Analog-to-Digital Converter Speed in Optoelectronic Systems of the Seed Quality Rapid Analyzer / S. V. Sokolov, V. V. Kamensky, A. I. Novikov, V. Ivetić // Inventions. - 2019. - Vol. 4, No. 4. - P. 61. - DOI https://doi.org/10.3390/inventions4040061. Rezhim dostupa: https://elibrary.ru/dkxphx.
37. Novikova, T. P. The choice of a set of operations for forest landscape restoration technology / T. P. Novikova // Inventions. - 2022. - Vol. 7, No. 1. - DOI https://doi.org/10.3390/inventions7010001. URL: https://elibrary.ru/uxpfiq.
38. K voprosu razvitiya sistemy energoobrazovaniya dvigateley vnutrennego sgoraniya / S. V. Dorohin [i dr.] // Al'ternativnye istochniki energii na avtomobil'nom transporte: problemy i perspektivy racional'nogo ispol'zovaniya. - Voronezh, 2014. - Tom 1. - S. 272-274. Rezhim dostupa: https://elibrary.ru/slkaqt.
39. Patent № 2714705 Rossiyskaya Federaciya, MPK A01G 23/00. Sposob vosstanovleniya lesa : № 2019115418 : zayavl. 20.05.2019 : opubl. 19.02.2020 / A. I. Novikov. - Rezhim dostupa: https://www.elibrary.ru/gzdlvj.
40. Svidetel'stvo o gosudarstvennoy registracii programmy dlya EVM № 2021667363 Rossiyskaya Federaciya. Informacionnaya sistema dlya uchastka po remontu avtotransporta i mehanizmov : № 2021666981 : zayavl. 28.10.2021 : opubl. 28.10.2021 / S. A. Morozov [i dr.]. - Rezhim dostupa: https://www.elibrary.ru/nrywgh.
41. Novikova, T. V. Razrabotka algoritma i modeli funkcionirovaniya informacionnoy sistemy dlya malogo sel'skohozyaystvennogo predpriyatiya / T. V. Novikova [i dr.] // Modelirovanie sistem i processov. - 2020. - T. 13, № 4. S. 53-58. - DOIhttps://doi.org/10.12737/2219-0767-2021-13-4-53-58. - Rezhim dostupa: https://www.elibrary.ru/qdcyjv.
42. Novikov, A.I. Production of Complex Knowledgebased Systems: Optimal Distribution of Labor Resources Management in the Globalization Context / A. I. Novikov [et al.] // Globalization and its socio-economic consequences : Proceedings, Rajecke Teplice, Slovak Republic. - Rajecke Teplice, Slovak Republic: University of Zilina, 2018. - P. 2275-2281. - URL: https://www.elibrary.ru/yxkpwh.
43. Avseeva, O.V. Matematicheskaya model' optimal'nogo raspredeleniya rabot v setevyh kanonicheskih strukturah / O. V. Avseeva [i dr.] // Fundamental'nye i prikladnye problemy tehniki i tehnologii. - 2013. - № 5(301). - S. 48-52. - Rezhim dostupa: https://www.elibrary.ru/sjqbtb.
44. Evteev, M.D. Nanoelektronika: ocherednoy etap razvitiya elektronnoy tehniki / M. D. Evteev [i dr.] // Tehnika i tehnologii: puti innovacionnogo razvitiya. - Kursk: Zakrytoe akcionernoe obschestvo "Universitetskaya kniga", 2013. - S. 140-142. - Rezhim dostupa: https://www.elibrary.ru/tjbbkj.
45. Achkasov, V. N. Controlling means of development electronic component basis / V. N. Achkasov [et al.]. - Lorman, MS, USA : Science Book Publishing House LLC, 2013. - 130 p. - ISBN 978-1-62174-001-8. - https://www.elibrary.ru/rewhat.
46. Lyadov, V.V. Oblachnye tehnologii - stanovlenie i perspektivy razvitiya / V. V. Lyadov [i dr.] // Modelirovanie sistem i processov. - 2013. - № 1. - S. 37-39. - Rezhim dostupa: https://www.elibrary.ru/rbpjfr.
47. Zatvornickiy, A. P. Optimal'noe planirovanie kompleksnyh proektov sozdaniya elektronnoy komponentnoy bazy / A. P. Zatvornickiy // Informacionnye sistemy i tehnologii. - 2013. - № 3(65). - S. 5-10. - Rezhim dostupa: https://www.elibrary.ru/ntnxin.
48. Gidromehanicheskie transmissii lesotransportnyh mashin: tehnologicheskaya svyaz' s vozdeystviem na pochvenno-rastitel'nuyu sredu / P. A. Sokol [i dr.] // Lesotehnicheskiy zhurnal. - 2023. - T. 13, № 2(50). - S. 179-197. - DOIhttps://doi.org/10.34220/issn.2222-7962/2023.2/10. - Rezhim dostupa: https://www.elibrary.ru/PJGNOX.
49. Evdokimova, S. A. Primenenie algoritmov klasterizacii dlya analiza klientskoy bazy magazina / S. A. Evdokimova [i dr.] // Modelirovanie sistem i processov. - 2021. - T. 14, № 2. - S. 4-12. - DOIhttps://doi.org/10.12737/2219-0767-2021-14-2-4-12. - Rezhim dostupa: https://www.elibrary.ru/DXGWQN.
50. Evdokimova, S. A. Analiz tovarnogo assortimenta zapasnyh chastey dilerskogo predpriyatiya avtomobil'nogo servisa s pomosch'yu algoritma FP-Growth / S. A. Evdokimova [i dr.] // Modelirovanie sistem i processov. - 2022. - T. 15, № 4. - S. 24-33. - DOIhttps://doi.org/10.12737/2219-0767-2022-15-4-24-33. - Rezhim dostupa: https://www.elibrary.ru/jcnghb.
