Open AccessAUTOMATIC CONTROL STRUCTURE FOR FORESTRY MATERIALS
Author(s) -
Sergey Polyakov,
P. Enin,
A. P Parfenov
Publication year - 2020
Publication title -
aktualʹnye napravleniâ naučnyh issledovanij xxi veka: teoriâ i praktika
Language(s) - English
Resource type - Journals
ISSN - 2308-8877
DOI - 10.34220/2308-8877-2020-8-1-223-227
Subject(s) - microclimate , greenhouse , control (management) , task (project management) , computer science , development (topology) , object (grammar) , control function , point (geometry) , plant growth , research object , function (biology) , variable (mathematics) , environmental science , engineering , ecology , mathematics , systems engineering , geography , artificial intelligence , mathematical analysis , geometry , regional science , evolutionary biology , biology , botany , horticulture
The article discusses a method of extreme control of the driving effects of the microclimate, which consists in keeping the objective function at the point of extremum for the control system. To solve the problem of extreme management, it is necessary to introduce computerization of the control and development of forest planting material. This will allow you to collect statistical information for the entire time of observation of plant growth. The primary task here is the analysis of observations and the possibility of generating regulatory influences from the microprocessor control system of the microclimate of the greenhouse. From literature sources, the stages of development of forest seedlings are known, for which data on the natural growth of seedlings and seedlings based on processing of statistical material are obtained. To date, recent studies show that there are no necessary mathematical models, both in growth and in the development of planting material under changing conditions and the nature of growth, and in time periods. Thus, objects of sheltered soil can be attributed from the point of view of the object of control and regulation to systems with variable parameters. That is, they can be characterized as unknown mathematical models.