Modeling method of roller kiln temperature based on local quadratic weighted kernel principal component regression

A core principal component and modeling method technology, applied in the field of roller kiln smelting, can solve problems such as difficult online prediction of temperature, difficulty in solving partial differential equations, etc., to improve product production quality and pass rate, good guidance, output Precise results

Active Publication Date: 2021-08-24
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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  • Modeling method of roller kiln temperature based on local quadratic weighted kernel principal component regression
  • Modeling method of roller kiln temperature based on local quadratic weighted kernel principal component regression
  • Modeling method of roller kiln temperature based on local quadratic weighted kernel principal component regression

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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 in 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 temperature soft sensor modeling method of a roller kiln based on local quadratic weighted kernel principal component regression. Using the local sample data with high similarity, combined with the high dimensionality, nonlinearity and process time-varying characteristics of the roller kiln, respectively introducing kernel skills, real-time learning and other technologies, the establishment of a roller kiln based on local weighted kernel principal component regression Temperature soft sensor model; finally, taking into account the different degrees of influence of the input variables of the local modeling sample data on the output variables, the local modeling variables are quadratically weighted, and the roller kiln temperature soft sensor based on the local quadratic weighted kernel principal component regression is established Model to realize accurate prediction of roller kiln temperature. The model obtained by the invention can better track the state change of the process, provide good guidance for the temperature control of the roller kiln, thereby improving the production quality and pass rate of products.

Description

[0001] Field [0002] The invention belongs to the field of roller kiln smelting, and in particular relates to a modeling method of roller kiln temperature soft measurement. Background technique [0003] Lithium batteries have the characteristics of high working 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 instrument 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, a sintering device for producing lithium battery cathode materials, is a light-weight 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 flow field. The system is di...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/08
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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