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Comprehensive methods to obtain and process information flows in centralized heat supply systems
Author(s) -
I. K. Sagynganova,
A. I. Kvasov,
А. А. Калинин
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/972/1/012074
Subject(s) - computer science , process (computing) , automation , polling , information system , software , process engineering , real time computing , industrial engineering , engineering , mechanical engineering , electrical engineering , programming language , operating system
The article discusses the principles of creating the structures of information and control systems for urban heat supply. The necessity to create and develop such systems is due to the significant energy intensity of the country’s GDP, which is twice as large as the majority of developed countries. Modern multi-level distributed control systems of the centralized heat supply system facilities, which are built according to the object rule, are described in the paper. The article analyses advantages and disadvantages of various options for information management systems. In the process of thermal automatics development based on software and hardware, including modern intelligent sensors and industrial controllers, modern thermal automation systems began to be intensively introduced. The use of standard techniques of cycling poll of all local objects included in the centralized heating systems, without taking into account the dynamic characteristics of the measured parameters, including the pipeline processing of this information, leads to a significant increase in the time of collection, processing, transmission of information and decision-making in a centralized heating systems. The concept of measuring and processing information in centralized heat supply systems is proposed, based on variable polling cycles of parameters of heat supply systems at heat points taking into account their dynamic characteristics with subsequent conveyor processing of information at the top level of automated centralized heating systems.

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