title: ÐÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Building a neural network model of the technological process
Creators: name: ÐÑÐ¾Ð¼Ð¾Ð²Ð°, ÐÐ°ÑÐ°Ð»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð´Ð²Ð¾Ð¹Ð½Ð¸Ðº
ÑÐµÐ¿Ð»Ð¾ÑÐ½Ð°Ð±Ð¶ÐµÐ½Ð¸Ðµ
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ´Ð¾Ð²
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
LSTM
digital twin
heat supply
modeling
time series forecasting
artificial neural network

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description: This work focuses on the development and application of a digital twin for heat supply objects. The study aims to investigate the potential of using a digital twin for predicting emergency situations in the heat supply system. The research includes an analysis of existing literature, exploration of theoretical foundations, modeling of the heat supply object, and evaluation of the digital twins effectiveness in forecasting emergencies. The theoretical foundations cover the concept of a digital twin, the description of the heat supply object, and the technologies involved in creating a digital twin. The modeling phase encompasses data collection and analysis, development of mathematical models, and the creation of a computer-based model for the heat supply object. The digital twins applicability for predicting emergency situations is explored through the development of forecasting algorithms and their implementation using the digital twin. The results and analysis section presents the outcomes of the modeling process, including a description of the heat supply objects simulation results and an analysis of the obtained data. The effectiveness of the digital twin for predicting emergency situations is assessed based on the results achieved. In conclusion, the study highlights the importance of utilizing a digital twin in the heat supply system for proactive emergency forecasting. The research findings contribute to the development of a more efficient and reliable heat supply infrastructure. Further recommendations are provided for the future development and implementation of the digital twin technology.