Increasing the productivity of non-specialized equipment based on mathematical analysis of logging indicators of a wood-cutting area
The article discusses the issues of improving the logging process when using non-standardized equipment and increasing its productivity by optimizing work based on the use of software, for example TimberMatic Maps, which allows calculating the hourly, shift and annual productivity of the harvester, taking into account the average volume of logs and the stock of wood per hectare, as well as the soil and soil condition of the area. In addition, the software allows optimal tracing of trails in the logging area, “routing” of the forwarder and the use of the “assortments” tool. As an example of solving the assigned tasks, the logging enterprise LLC Bienestar (Russian Federation, Leningrad region, Kingiseppsky district) is taken, where for felling trees, cutting branches and crosscutting logs, an excavator-type loader Mantsinen 60, modernized for a harvester using the appropriate manipulator with harvester head Ponsse H73E is used. The harvester is paired with a Ponsse Buffalo 8W forwarder. According to the results of a study of the operation of forestry equipment and calculations using software, it is proved that the productivity of such a harvester can be increased up to 20% only with the help of geolocation tools. For the calculations, various cutting areas were taken with an average volume of logs from 0.15 to 0.5 m3 and an average stock of wood per hectare from 75 to 230 m3. It has been established that with varying cutting area indicators, the productivity of the harvester in different areas of the cutting area is different, and the increase in the annual productivity of machinery can be from 26 to 50%. The developed methodology for calculating productivity and the results obtained when using the TimberMatic Maps software at a particular enterprise allows recommending the software for use in various forest regions of Russia, not only in the Northwestern Federal District, but also in the Urals, Siberia and the Far East, taking into account the main indicators: the average volume of the whip and stock of wood per hectare, as well as the soil and soil condition of the area.