Open AccessError analysis system of industrial steam heat flow based on neural network computer simulation
Author(s) -
Xiao Xiao,
Lei Chen
Publication year - 2021
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci2104149x
Subject(s) - compensation (psychology) , computer science , artificial neural network , realization (probability) , reduction (mathematics) , energy consumption , expert system , control system , control engineering , artificial intelligence , engineering , statistics , geometry , psychology , mathematics , psychoanalysis , electrical engineering
The paper focuses on the analysis of the neural network mathematical model for temperature and pressure compensation in steam flow measurement, summarizes two types of compensation models suitable for DCS configuration, and introduces the realization of steam flow measurement in ABB Industrial TDCS configuration ways and methods of temperature and pressure compensation. At the same time, the paper uses the scientific neural network intelligent model control method to analyze, optimize, configure and manage the information, improve the operation and management level of the steam system, and realize the optimized operation of the steam system, so as to achieve the purpose of energy saving and consumption reduction.