基于模糊逻辑的工业大棚小气候综合监测与控制信息技术

IF 3.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-11-28 DOI:10.2478/jaiscr-2023-0002
I. Laktionov, O. Vovna, M. Kabanets
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引用次数: 3

摘要

摘要当今,面向计算机的应用技术和信息数字化技术正在蓬勃发展,并被广泛应用于各个行业。乌克兰和世界其他国家的经济中最优先考虑的部门之一是农业,其需求需要深入实施高性能信息技术。本文旨在综合科学实用的规定,提高工业温室小气候综合监测与控制的信息技术水平。研究对象是温室小气候的土壤和气候条件测量数据的聚合和转换的非平稳过程。研究主题是以计算机为导向分析温室小气候的土壤和气候状态测量数据的方法和模型。本文的主要科学和实际效果是通过开发基于模糊逻辑的测量数据分布式聚合和智能化转换的方法和模型,发展了温室小气候监测和控制的智能信息技术理论。
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Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic
Abstract Nowadays, applied computer-oriented and information digitalization technologies are developing very dynamically and are widely used in various industries. One of the highest priority sectors of the economy of Ukraine and other countries around the world, the needs of which require intensive implementation of high-performance information technologies, is agriculture. The purpose of the article is to synthesise scientific and practical provisions to improve the information technology of the comprehensive monitoring and control of microclimate in industrial greenhouses. The object of research is non-stationary processes of aggregation and transformation of measurement data on soil and climatic conditions of the greenhouse microclimate. The subject of research is methods and models of computer-oriented analysis of measurement data on the soil and climatic state of the greenhouse microclimate. The main scientific and practical effect of the article is the development of the theory of intelligent information technologies for monitoring and control of greenhouse microclimate through the development of methods and models of distributed aggregation and intellectualised transformation of measurement data based on fuzzy logic.
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来源期刊
Journal of Artificial Intelligence and Soft Computing Research
Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
7.00
自引率
25.00%
发文量
10
审稿时长
24 weeks
期刊介绍: Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
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