Open AccessTesting of machines selecting mathematical model for a forest plantation operating
Author(s) -
O.B. Markov,
R.V. Voronov,
M. Sysoev
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/574/1/012048
Subject(s) - logging , work (physics) , ecological succession , agroforestry , agricultural engineering , sowing , modular design , russian federation , selection (genetic algorithm) , forest management , environmental science , computer science , forestry , business , engineering , geography , ecology , agronomy , artificial intelligence , economic policy , biology , mechanical engineering , operating system
Forest plantations have been successfully established and operated in many countries since the middle of the last century. At the same time, in the Russian Federation (RF), where forest plantations are not widespread, timber processing enterprises are beginning to feel a raw material hunger due to the gradual exhaustion of available operational Mature forests. As a result, the average distance of harvested wood removal from natural forests is constantly growing, and the cost of logging roads increases every year. One of the problems that hindering the creation of forest plantations is the lack of a scientifically based system of machines in the Russian Federation that can perform the entire cycle of work: starting with planting (sowing) woody plants and ending with the collection of wood crops and preparing the territory for a new succession. This article describes a refined mathematical model of the modular principle of machines selection that intended for the full cycle of forest plantation operation. During testing, the optimal value was found that meets all the specified requirements. During testing was found out that finding the optimal solution by the chosen method requires a large amount of time.