energyЭнергетика. Известия высших учебных заведений и энергетических объединений СНГENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations1029-74482414-0341BNTU10.21122/1029-7448-2022-65-3-240-249energy-2164Research ArticleТЕПЛОЭНЕРГЕТИКАНEAT POWER ENGINEERINGО подходе к обработке данных для интеллектуальных систем централизованного теплоснабженияAn Approach to Data Processing for the Smart District Heating SystemСеднинА. B.SedninA. V.

Адрес для переписки:Седнин Алексей Владимирович –Белорусский национальный технический университет,просп. Независимости, 65/2,220013, г. Минск, Республика Беларусь.Тел.: +375 17 397-36-20Sednin@bntu.by

Address for correspondenceSednin Alexei V –Belаrusian National Technical University,65/2, Nezavisimosty Ave.,220013, Minsk, Republic of Belarus.Tel.: +375 17 397-36-20 Sednin@bntu.by

pte@bntu.byЖерелоА. В.ZhereloA. V.

г. Минск

Minsk

Белорусский национальный технический университетБеларусьBelarusian National Technical UniversityBelarusБелорусский государственный университетБеларусьBelarusian State UniversityBelarus202203062022653240249Copyright © Седнин А.B., Жерело А.В., 20222022Седнин А.B., Жерело А.В.Sednin A.V., Zherelo A.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://energy.bntu.by/jour/article/view/2164

В статье рассматривается проблема перехода к интеллектуальным системам теплоснабжения за счет создания единого информационного пространства и достижения высокого уровня управляемости всей системы. В рамках внедрения проектов автоматизации технологических процессов решается ряд информационных задач нижнего уровня, в том числе по сбору данных о тепловых и гидравлических режимах работы объектов систем теплоснабжения для осуществления контроля, оперативного управления и анализа эффективности их функционирования. Одна из проблем интеллектуальных систем связана со сбором информации для ее дальнейшего хранения и обработки. Рассмотрены методы сбора информации на реальных энергетических объектах и предложено использовать многоуровневую систему с выделением верхнего уровня в облачное хранилище. Реализованная в настоящее время схема сбора данных в автоматизированных системах управления теплоснабжением может быть дополнена обобщенным методом аккумулирования данных с введением дублирующих потоков, позволяющих обеспечить их целостность. Предложены подходы к идентификации собираемых данных, обеспечению устойчивости процесса сбора, надежности хранения и целостности. Для защиты данных можно использовать ролевую модель безопасности с выделенным единым центром сертификации, а также параллельную обработку данных. Следующий этап развития – создание систем глобального мониторинга, деятельность которых направлена на оперативное реагирование на всех уровнях. Аккумулируемый массив данных позволит вывести эксплуатируемые системы на новый уровень за счет использования таких инструментов, как прогнозирование и имитационное моделирование, и создать цифровые двойники систем теплоснабжения. Дополнительное преимущество создаваемой системы сбора данных – возможность прогнозирования и моделирования на уровне выше отдельно взятой установки или предприятия и, как следствие, помощь в формировании более взвешенных управленческих решений.

The article deals with the district heating systems transition to intelligent systems by developing a united information system and obtaining a high level of controllability of the entire system. During the implementation of automated control systems of district heating, a number of information tasks of the lower level are being introduced, including the data collection for thermal and hydraulic modes of operation for monitoring, operational management and analysis of the effectiveness. One of the problems of intelligent systems is data collection and its further storage and processing. Methods for data collection for real energy facilities are considered and the usage of multi-level system with the allocation of the upper level in the cloud storage has been proposed. In addition to the currently implemented data collection scheme in automated control systems, a generalized method of data acquisition with the introduction of duplicate streams has been proposed to ensure their integrity. The paper presents the approaches to identifying the collected data, ensuring the stability of the collection process, reliability of data storage and their integrity. Role-based security model with a dedicated single certification authority helps to protect data. Approaches to further processing of the collected data are shown, differing in the way of parallel data processing. The next stage of development is global monitoring systems that will be aimed to prompt response at all levels. The accumulated data will allow bringing the operating systems to a new level through the use of tools such as forecasting and simulation modeling, which will allow creating digital twins of heat supply systems. The proposed data collection system will perform forecasting and modeling at a higher level, and, as a result, help in the formation of more balanced management decisions.

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The authors declare that there are no conflicts of interest present.