Method for predicting temperature of outer wall of high-temperature reheater of ultra-supercritical coal-fired boiler

Abstract

The invention provides a method for predicting the temperature of the outer wall of a high-temperature reheater of an ultra-supercritical coal-fired boiler. The method can accurately predict the temperature of the outer wall of the high-temperature reheater of the ultra-supercritical coal-fired boiler in a period of time in the future. The method provided by the invention is a hybrid multi-parameter multi-feature dimension reduction time convolution network method. The method is composed of a multi-feature scale module and a feature fusion time convolution network module. A multi-feature scalemodule in the method mainly comprises two operations of feature screening and feature splicing. Wherein the two operations are used for carrying out hybrid multi-parameter multi-feature dimension reduction on the original data. In the method, a feature fusion time convolution network module uses extended causal convolution as a basic calculation unit to complete feature fusion and model trainingtasks. The method provided by the invention has relatively strong feature extraction capability and function fitting capability, and can predict the temperature of the outer wall of the high-temperature reheater of the ultra-supercritical coal-fired boiler.

Description

technical field [0001] The invention belongs to the field of safe operation of coal-fired boilers in electric power system thermal power plants, and relates to a method for predicting the outer wall temperature of a high-temperature reheater furnace of an ultra-supercritical coal-fired boiler, which is suitable for analyzing the safe operation of thermal power coal-fired boilers in electric power systems. Background technique [0002] Ultra-supercritical power generation technology can meet the important clean coal power generation requirements for the sustainable development of China's electric power, and has become the main development direction of coal-fired thermal power units. In order to further improve boiler efficiency and reduce pollutant emissions, the development of large-scale high-parameter ultra-supercritical coal-fired boilers with independent property rights is an important development direction of my country's power equipment manufacturing industry. Construc...

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Problems solved by technology

[0007] The main calculation method of the traditional heating surface wall temperature is the standard method of thermal calculation of boiler units, which has shortcomings in considering various thermal deviation factors, and does not consider the different heat absorption capabilities of different tubes, and the heat transfer coefficient is a constant value, so this point The calculation of the average temperature is unreasonable

This method only calculates the wall temperature of the dangerous point, but cannot calculate the wall temperature distribution, so the prediction accuracy is low

[0008] Due to the problem of low prediction accuracy in the traditional method for predicting the temperature of the outer wall of the high temperature reheater furnace of an ultra-supercritical coal-fired boiler, the present invention proposes a method for predicting the temperature of the outer wall temperature of the high-temperature reheater furnace of an ultra-supercritical coal-fired boiler. Alternative to Traditional Forecasting Methods

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