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Roller kiln temperature soft measurement modeling method based on local twice-weighted kernel principal component regression

A core principal component and modeling method technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult online prediction of temperature and difficulty in solving partial differential equations.

Active Publication Date: 2018-09-18
CENT SOUTH UNIV +1
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Problems solved by technology

However, the partial differential equation built from the perspective of the field brings difficulties to the solution, and the model can only analyze it offline, and it is difficult to realize the online prediction of the temperature

Method used

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  • Roller kiln temperature soft measurement modeling method based on local twice-weighted kernel principal component regression
  • Roller kiln temperature soft measurement modeling method based on local twice-weighted kernel principal component regression
  • Roller kiln temperature soft measurement modeling method based on local twice-weighted kernel principal component regression

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Experimental program
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Embodiment 1

[0083] Step 1: Data preprocessing: pre-sort the operation data of the roller kiln process, including displaying wrong data, missing data, etc., and store them in the created database after sorting. The obtained data is used as training sample data for identification of model parameters, establishment of temperature soft sensor model and simulation verification;

[0084] Step 2: Selection of training samples: First, consider the lower temperature zone of i=3 and 12 temperature zones as the research object. Through mechanism analysis, it can be known that the temperature change in this temperature zone is mainly affected by the following factors, including: The temperature of the upper temperature zone of the i-th temperature zone x i1 , the temperature at the previous moment in the lower temperature zone of the i-th temperature zone The temperature of the lower temperature zone of the i-1th temperature zone x (i-1)2 , temperature x in the lower temperature zone of the i+1th ...

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Abstract

The invention discloses a roller kiln temperature soft measurement modeling method based on local twice-weighted kernel principal component regression. The method includes establishing a roller kiln temperature soft measurement model based on the local weighted kernel principal component regression through utilizing local sample data with high similarity, combining characteristics of the existinghigh dimensionality, nonlinearity and process time-varying of the roller kiln and introducing techniques of kernel tricks and instant learning separately; and performing twice-weighing on local modeling variables, and building the roller kiln temperature soft measurement model based on the local twice-weighted kernel principal component regression to achieve the precise prediction of the roller kiln temperature in consideration of the different influence degree of the input variables of local modeling sample data on the output variables. The obtained model can better track the state changes ofa process and provide good guidance effects for roller kiln temperature control, and therefore, product production quality and qualified rates can be enhanced.

Description

[0001] Field of study [0002] The invention belongs to the field of roller kiln smelting, and in particular relates to a soft measurement modeling method for roller kiln temperature. Background technique [0003] Lithium batteries have the characteristics of high operating voltage, large specific energy, long cycle life, light weight, and less environmental pollution. They are widely used in many fields around the world, such as mobile phones, electric vehicle technology, and medical equipment power supplies. Among them, the representative battery is a lithium battery with roller kiln as the production platform and lithium cobalt oxide as the positive electrode material. The roller kiln of the sintering device for the production of cathode materials for lithium batteries is a lightweight continuous industrial kiln, which has the characteristics of low energy consumption, short firing cycle and good furnace temperature uniformity. In addition, it is also a distributed heat flo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/08
Inventor 陈宁田爽桂卫华李旭吴昌宝戴佳阳袁小峰谢滨
Owner CENT SOUTH UNIV
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