CFB furnace tube longevity assessment method based on gray prediction theory

Abstract

The invention discloses a life evaluation method of a CFB furnace tube based on grey prediction theory. The life evaluation method helps solve the problems of hard life evaluation and the like of the current furnace tube and does not need to consider factors which thins wall thickness, such as complex wear, even corrosion and the like; and the life evaluation method has the advantages of requiring fewer raw data, convenient computation and high precision, and can be used in actual engineering practice and the like. The life evaluation method comprises the following steps: (1) measuring a set of wear data; (2) adopting the measured data and a method for weighting processing on time interval in the process of accumulating and reducing the raw data to establish an unequal time interval GM (1,1) prediction model based on the CFB furnace tube wear of the measured wearing capacity data; (3) computing the wearing capacity, that is, wall thickness reduction amount by the established prediction model; (4) comparing a computation result with a measurement result, and optimizing the model; (5) obtaining a specific prediction model of the furnace tube wall thickness reduction amount of a boiler; and (6) predicting the subsequent wear capacity according to the specific prediction model, thus computing the residual life of the furnace tube.

Description

technical field [0001] The invention relates to a method for evaluating the life of a CFB furnace tube based on gray prediction theory. Background technique [0002] The life assessment of circulating fluidized bed (CFB) boiler tube is of great significance to guide the design and operation of the boiler. The wall thickness reduction of furnace tubes, especially water-cooled wall tubes, is mainly caused by wear. Due to the complex working conditions in the furnace of CFB boilers, the wear of water-cooled wall tubes is high-temperature wear (the furnace temperature is between 840°C and 900°C), and there are many factors affecting wear. The wear prediction model based on influencing factors can be used in engineering practice. It is difficult to build a predictive model. In fact, the wear rate (wear amount, or wall thickness thinning amount) of the water-cooled wall tube is real and can be accurately measured. Then, we can put aside complicated influencing factors and start...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the current life of the furnace tube is not easy to evaluate, thus affecting the normal operation of production, etc., to provide a method that is simple and does not need to consider complicated wear or even corrosion and other factors that make the wall thickness thinner. The life evaluation method of CFB furnace tube based on gray prediction theory has the advantages of less original data, convenient calculation, high precision, and can be used in engineering practice.

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