Automated System of Knowledge Base Acquisition for Lumber Drying Processes

Automated System of Knowledge Base Acquisition for Lumber Drying Processes

Bibliographic Details
Parent link:International Russian Automation Conference, RusAutoCon 2023: Proceedings, Sochi, October 10-16, 2023. P. 505-509.— .— Piscataway: IEEE, 2023
Main Author: Grechushnikov V. V. Vladislav Viktorovich
Corporate Author: National Research Tomsk Polytechnic University (570)
Other Authors: Kachin O. S. Oleg Sergeevich, Prokhorov S. Sergey
Summary:Title screen
The paper deals with the problem of low-quality lumber drying at the initial operating stage of the drying chamber. Based on collected data of the drying process, the measured and calculated features of transient processes were identified. Their relation to the parameters and quality of drying is shown. A method collecting the features under consideration is proposed. The numerical evaluation of the features is associated with the result of drying. The implementation of the method for collecting the technological quality parameters relies on a web server for the formation of the drying process datasheet. The idea of implementing a neural network to confirm the assumption about the relation between the said features is considered. The neural network structure, which will probably allow to determine the degree of influence and relationship the features and the results of drying, is proposed.
Текстовый файл
AM_Agreement
Published: 2023
Subjects:
oscillating lumber drying
knowledge base
technological map
response
neural network
электронный ресурс
труды учёных ТПУ
Online Access:https://doi.org/10.1109/RusAutoCon58002.2023.10272810
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=676097

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