Intelligent systems for design of drying processes

被引：7
|
作者：
Menshutina, Natalya V. [1 ]
Goncharova-Alves, Svetlana V. [1 ]
Matasov, Alexey V. [1 ]
机构：
[1] Dmitry Mendeleev Univ Chem Technol Russia, Dept Cybernet Chem Technol Proc, 20 Geroev Panfilovtsev Str, Moscow 125480, Russia
来源：
DRYING TECHNOLOGY | 2020年 / 38卷 / 1-2期
关键词：
Database; drying technology; drying equipment; information system; modeling environment; FUZZY EXPERT-SYSTEM; SELECTION; SOFTWARE; SIMULATION; DRYERS;
D O I：
10.1080/07373937.2019.1632344
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
This paper describes the developments of Dmitry Mendeleev University of Chemical Technology of Russia (MUCTR) in the field of digital technologies for drying processes. The first is the database system BANID. The purpose of this system is to integrate and store information in the field of drying technologies and processes. BANID is a tool to search and select the necessary information and it can be used as a system of referential databases. Based on the BANID system the information system DryInf has been developed at MUCTR. It became the next step in the creation of intelligent systems in the field of design of drying technologies and processes. DryInf is used for the calculation, design and selection of drying equipment using artificial intelligence systems. The proposed intelligent systems are an integral part of the implemented digital technologies.
引用
收藏
页码：147 / 157
页数：11
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