title: Ð¡Ð¸Ð½ÑÐµÐ· Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ ÑÑÐµÐ´Ñ Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð¼ ÑÑÑÐ±Ð¾Ð¿ÑÐ¾Ð²Ð¾Ð´Ðµ Ð¼ÐµÐ¶Ð´Ñ Ð´Ð²ÑÐ¼Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²ÐµÐ½Ð½ÑÐ¼Ð¸ Ð¿Ð»Ð¾ÑÐ°Ð´ÐºÐ°Ð¼Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¸ÑÑÐ¾ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
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: Synthesis of an algorithm for maintaining the temperature of the environment in a transport pipeline between two production sites based on historical data
Creators: name: Ð¯ÑÑÑÐµÐ±Ð¸Ð½ÑÐºÐ°Ñ, ÐÐ°Ñ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: 2024
Subjects: Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ðµ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ Ð½Ð° Ð¿Ð¾Ð´Ð¾Ð³ÑÐµÐ²Ð°ÑÐµÐ»Ðµ
ÑÑÐ½ÐºÑÐ¸Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸
Ð¼ÐµÑÐ¾Ð´ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Adam
data analysis
calculation of the temperature on the heater
regression function
the Adam parameter optimization method

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÑÐ½ÐºÑÐ¸Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð´Ð¾Ð³ÑÐµÐ²Ð°ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐµÐ¹ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÑ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ Ð¿Ð¾Ð´Ð¾Ð³ÑÐµÐ²Ð°ÑÐµÐ»Ñ Ð² Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸ Ð¾Ñ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ Ð¾ÐºÑÑÐ¶Ð°ÑÑÐµÐ¹ ÑÑÐµÐ´Ñ Ð¸ ÑÐµÐ»ÐµÐ²Ð¾Ð¹ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: Ð¾Ð±Ð·Ð¾Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸ Ð¼ÐµÐ¶Ð´Ñ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸; Ð¾Ð±Ð·Ð¾Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÑÐ½ÐºÑÐ¸Ð¸; Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ÑÑÐ¾ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ; Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÑÐ½ÐºÑÐ¸Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÐ¾Ð¹ Ð½Ð° Ð¿Ð¾Ð´Ð¾Ð³ÑÐµÐ²Ð°ÑÐµÐ»Ðµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð° Adam Ð´Ð»Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÑÐ½ÐºÑÐ¸Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ 12 ÑÑÐ½ÐºÑÐ¸Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸ Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ñ 4, Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ ÑÐ¾ÑÐ½Ð¾ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÐ¸Ðµ Ð¸ÑÑÐ¾ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¿ÑÐ¸ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ñ Ð½Ð° Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¿Ð»Ð¾ÑÐ°Ð´ÐºÐµ. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Matlab.
description: This work is devoted to determine the control function of a heating installation, which allows to calculate the temperature of the heater depending on the ambient temperature and the target temperature. The following problems were solved during the study: the review of methods for determining dependencies between data; the review of methods for optimizing function parameters; the processing of historical temperature data; the determining of the temperature control function on the heater using the Adam method to optimize the parameters of various regression functions. During the research, 12 regression functions were studied and 4 were selected that most accurately described the historical data, which, with further research, can be applied to the production site. The research was conducted using the Matlab programming language.