Statistical evaluation of the dimensional characteristics of timber products using data from stm-files of multioperation forest machines

In a market economy the efficiency of timber enterprises is largely determined by the compliance characteristics of the timber technical capabilities of processing equipment and technologies in General. In the process of harvesting wood in large volumes with the use of high-performance equipment, there is a need for statistical processing of the obtained data sets for each controlled parameter. Statistical processing methods require complex calculations, so there is a need to create a unified software tool for statistical analysis of data samples of various volumes with a sufficient set of calculated statistical parameters. The aim of the work is the statistical processing of the dimensional characteristics of a batch of timber harvested in the conditions of the middle taiga of the Komi Republic, using specially developed software. In the study, were studied parameters of the harvested timber – length and stem taper, length of segments, the average diameter of the logs obtained from the monitoring system-measuring wheel harvesters are of the middle class harvester John Deere 1270G 8W, working at logging in the winter procurement period. Processing of the received data arrays was carried out using specially developed software statsProg, written in the Python programming language. The developed software allows you to process any numerical data arrays, with subsequent calculation of statistical parameters and checking the distribution for normality. Statistical evaluation of a batch of timber harvested in the middle taiga of the Komi Republic using the wheel harvester John Deere 1270G 8W showed a large variability in size characteristics, which is explained by the natural and climatic conditions of wood growth, including the preparation of mixed breeds, as well as the development of sortings taking into account their quality and cutting out defective places.

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