Method for identifying and predicting nonlinear multivariable key parameters of circulating fluidized bed boiler
A technology of circulating fluidized bed and key parameters, which is applied in the direction of measuring devices and instruments, and can solve problems that have not yet been seen
Inactive Publication Date: 2012-09-12
XIAN UNIV OF SCI & TECH
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Problems solved by technology
At present, there is no N parameter identification method for the nonlinear multi-variable key measured variables of circulating fluidized bed boilers
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[0063] Such as figure 1 and figure 2 As shown, the identification and prediction method of the non-linear multivariable key parameters of the circulating fluidized bed boiler of the present invention comprises the following steps:
[0064] Step 1. Real-time detection and synchronous upload of multiple factor signals affecting the combustion efficiency of the circulating fluidized bed boiler: real-time detection of multiple factor signals affecting the combustion efficiency of the circulating fluidized bed boiler through multiple sensors, and the real-time The detected signal is uploaded to the data acquisition card 8 synchronously;
[0065] Step 2, signal sampling and preprocessing: the data acquisition card 8 samples the signals detected by multiple sensors for L times and correspondingly performs amplification, filtering and A / D conversion processing to obtain an L×N dimensional matrix sample signal x ki And synchronously uploaded to the processor 9 for recording; wherein...
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The invention discloses a method for identifying and predicting nonlinear multivariable key parameters of a circulating fluidized bed boiler, which comprises the following steps of: 1, real-time detection and synchronous transmission of factor signals affecting combustion efficiency of circulating fluidized bed boiler; 2, signal sampling and pretreatment; 3, identification of the nonlinear multivariable key parameters of the circulating fluidized bed boiler; 4 real-time prediction of the nonlinear multivariable key parameters of the circulating fluidized bed boiler; 5, repetition of the step 3 and step 4 to identify all parameters of tested key variables and predict the real-time predicted values of all key parameters of the circulating fluidized bed boiler; and 6, output of results. The method is reasonably designed and convenient to implement; the method can predict the real-time key parameters affecting the stable operation of the circulating fluidized bed boiler with high accuracy, high efficiency, less time and less labor, while making real-time fault diagnosis; therefore, the method is worthy to be used widely.
Description
technical field [0001] The invention relates to the technical field of identification of boiler system parameters of coal gangue power plants, in particular to an identification and prediction method of nonlinear multivariable key parameters of circulating fluidized bed boilers. Background technique [0002] China is a large coal country. In 2011, the raw coal production was about 3.57 billion tons, of which 15% to 20% were low-quality coal such as coal gangue and coal slime. Combustion of coal gangue for power generation is a form of energy saving and emission reduction for thermal power generation. Currently, coal The company has about 200 coal gangue power plants. The circulating fluidized bed boiler is the key equipment for safe power generation in coal gangue power plants. The variation of each parameter has the characteristic of non-linearity. International and domestic experts have conducted a lot of research on waste power generation, fault detection of boiler fans...
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IPC IPC(8): G01D21/02
Inventor 侯媛彬李宁
Owner XIAN UNIV OF SCI & TECH