Synthesis of an algorithm for automated adjustment of lumber drying based on linguistic information

Abstract

Relevance. Lumber drying is associated with high risks of obtaining a low-quality or even unusable product. The problem under consideration has a number of reasons, both in violation of the technological process and in incorrect settings of drying mode parameters at different stages. The procedure for automated adjustment of parameters is usually associated with a linguistic assessment of the quality of the product, according to which a decision on adjusting the parameters should be made, taking into account signs of a violation of the technological process. Technical and scientific publications contain generalized information about methods for selecting parameters for various situations, which can be formalized and included in algorithms for adjusting the parameters of a programmable logic controller. Aim. To create an algorithm using a Fuzzy controller that allows you to configure process parameters and adapt the drying chamber to the optimal parameters for drying lumber under given operating conditions. Methods. Analysis of the technical process database obtained during one and a half years of operation of the main parameters dispatch system for 28 full lumber drying cycles, with the aim of forming an automated adjustment algorithm that takes into account the lumber drying conditions. Results. The authors have created an algorithm for automated adjustment of parameters for three stages of drying based on linguistic ideas about the quality of the product. The algorithm eliminates the possibility of obtaining a low-quality product, as well as encourages service personnel to correctly generate a technological process passport. Conclusions. The inclusion of an automated parameter adjustment loop in the control circuit allows us to minimize the number of poor-quality processes when starting to operate a new drying chamber and eliminate defects in further technical processes.