档案文献档案保存中的模型与模糊微气候控制系统

A. Marakhimov, A. Abdullaev
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引用次数: 0

摘要

本文的主要研究对象是创造适宜的小气候条件,保证档案文件的可靠、高质量的存储,以及对直接影响存储质量的外部环境和内部环境主要参数的最优值进行自动控制。为了控制小气候,档案中分别考虑了三种自动控制这些参数的模型:“白盒”、“黑盒”和“灰盒”模型。最后对所考虑的模型的优缺点进行了分析。给出了档案小气候管理系统的总体结构,并给出了档案小气候管理系统的可控和可变参数列表。提出了利用模糊逻辑装置创建档案库微气候控制系统,使其能够在不确定条件下综合稳定的算法。给出了基于模糊逻辑规则实现的模糊推理系统设计和使用的具体步骤。在设计和使用模糊推理系统时,有必要观察基于模糊逻辑规则实现的某些阶段。提出了一种基于模糊推理过程实现技术的规则库生成的通用算法。指出了设计模糊控制系统需要解决的问题。提出了一种基于模糊控制器的档案库温度自动控制系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODELS AND FUZZY MICROCLIMATE CONTROL SYSTEM IN THE STORAGE OF ARCHIV GE OF ARCHIVAL DOCUMEN AL DOCUMENTS
In this article, the main object of research is the creation of appropriate microclimatic conditions to ensure reliable and high-quality storage of archival documents, as well as automatic control of the optimal values of the main parameters of the external and internal environment that directly affect the quality of storage. To control the microclimate, three categories of models for automatic control of these parameters are considered separately in the archives: the “white box”, “black box” and “gray box " models. The results of the analysis of the advantages and disadvantages of the considered models are presented. The generalized structure of the microclimate management system is also given, as well as a list of controlled and changeable parameters of the microclimate management system of archives. It is proposed to use the fuzzy logic apparatus to create microclimate control systems in archival repositories, which allows synthesizing stable algorithms for its functioning in conditions of uncertainty. The specific steps that need to be performed when designing and using fuzzy inference systems and which are implemented based on the rules of fuzzy logic are listed. When designing and using fuzzy inference systems, it is necessary to observe certain stages that are implemented based on the rules of fuzzy logic. A generalized algorithm for forming a rule base with a technique for implementing the fuzzy inference procedure is presented. The tasks that need to be solved when designing a fuzzy control system are indicated. A system of automatic temperature control in archival repositories with a fuzzy logic controller is presented.
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