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Non-linear analysis method based online intelligent identification method for flow pattern of gas-solid fluidized bed

A nonlinear analysis and intelligent recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as dynamic analysis of transient state parameters and flow pattern recognition, etc.

Active Publication Date: 2015-12-09
SOUTHEAST UNIV
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Problems solved by technology

These two methods cannot avoid the influence of subjective factors on the accuracy of flow pattern recognition, and it is also difficult to dynamically analyze the instantaneous state parameters and flow pattern recognition

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  • Non-linear analysis method based online intelligent identification method for flow pattern of gas-solid fluidized bed
  • Non-linear analysis method based online intelligent identification method for flow pattern of gas-solid fluidized bed
  • Non-linear analysis method based online intelligent identification method for flow pattern of gas-solid fluidized bed

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[0063] Step 1: Acquisition of pressure pulsation signals, such as figure 1 As shown, the gas-solid fluidized bed 3 collects data through the differential pressure transmitter 7 and the A / D digital signal conversion collector 8, and the collected data is recorded in the computer 9; a paperless recorder or other signal conversion can also be used Acquisition System. The sampling frequency is guaranteed to be 100Hz, and the sampling period is more than 10 seconds. The pressure pulsation signal was collected separately for the working conditions of different gas velocities and different bed thicknesses. In this example, a mixture of quartz sand and shaped biomass particles in different proportions was used, and a total of 120 groups were sampled.

[0064] Step 2: Process the pressure pulsation signal collected in Step 1 by nonlinear analysis method to extract characteristic values: Process the sampled data according to the aforementioned method to obtain the IMF energy interval v...

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Abstract

The present invention discloses a non-linear analysis method based online intelligent identification method for a flow pattern of a gas-solid fluidized bed. The method comprises: performing sampling and analysis of a pressure pulsation signal on the gas-solid fluidized bed and extracting a feature value; performing objective clustering by means of a fuzzy cluster algorithm according to the feature value and the pressure pulsation signal; and establishing and training a flow pattern identification system according to the pressure pulsation signal, the feature value and an objective clustering result, and embedding the system into a computer to implement online intelligent identification of the flow pattern of the gas-solid fluidized bed. The method can avoid the influence of subjective factors on flow pattern identification accuracy, and perform dynamic analysis and flow pattern identification on a transient state parameter.

Description

technical field [0001] The invention relates to a flow pattern identification method of a gas-solid fluidized bed, belonging to the technical field of gas-solid fluidized beds. Background technique [0002] Gas-solid fluidized bed has been widely used in many industrial fields such as chemical industry and energy because of its good flow and heat transfer characteristics. The measurement of gas-solid fluidized bed parameters is closely related to the flow pattern. How to accurately identify the gas-solid fluidized bed flow pattern in real time is an important topic in the field of gas-solid fluidized bed research. [0003] At present, there are mainly direct observation method and parameter analysis method for flow pattern identification of gas-solid fluidized bed. The direct observation method requires the visualization of the reaction device or the use of imaging equipment for image acquisition. The gas-solid fluidized bed equipment in industrial applications is limited b...

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Application Information

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IPC IPC(8): G06K9/62G06K9/64
CPCG06V10/75G06F18/23
Inventor 仲兆平王恒郭飞宏王佳王肖祎王泽宇
Owner SOUTHEAST UNIV