THERMAL SCIENCE

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Qinghong Wu

COMPUTER IMAGE PROCESSING AND NEURAL NETWORK TECHNOLOGY FOR BOILER THERMAL ENERGY DIAGNOSIS

ABSTRACT
The paper uses the flame image processing technology to diagnose the furnace flame combustion achieve the measurement of boiler heat energy. The paper obtains the combustion image of the flame image processing system, and extracts the flame image characteristics of the boiler thermal energy diagnosis, constructs the neural network model of the boiler thermal energy diagnosis, and trains and tests the extracted flame image feature parameter values as the input of the neural network. A rough diagnosis of the boiler’s thermal energy is obtained while predicting the state of combustion. According to the research results, a boiler thermal energy diagnosis system was designed and tested on the boiler of 200 MW unit. The experimental results confirmed the applicability of the system, which can realize on-line monitoring of boiler heat energy and evaluate the combustion situation.
KEYWORDS
Furnace flame, temperature field, combustion diagnosis, Artificial Neural Network, image processing
PAPER SUBMITTED: 2019-10-12
PAPER REVISED: 2019-11-19
PAPER ACCEPTED: 2020-01-05
PUBLISHED ONLINE: 2020-02-29
DOI REFERENCE: https://doi.org/10.2298/TSCI191012080W
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE Issue 5, PAGES [3059 - 3068]
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Computer image processing and neural network technology for boiler thermal energy diagnosis

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence