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Quality prediction method of employing disturbance reduction in cement raw material pre-decomposition process

A technology for cement raw meal and quality prediction, which is applied in the field of automation and can solve the problems of low decomposition rate of raw meal of quality indicators, production accidents, and capital losses.

Active Publication Date: 2019-11-19
中才邦业(杭州)智能技术有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The characteristic of the raw meal pre-decomposition process is that the boundary conditions change frequently, which leads to the low or high raw meal decomposition rate of the product quality index, which increases the load of the rotary kiln and indirectly leads to problems in the subsequent production process.
It may lead to a series of problems such as delays in factory production tasks, capital losses, production accidents, etc.

Method used

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  • Quality prediction method of employing disturbance reduction in cement raw material pre-decomposition process
  • Quality prediction method of employing disturbance reduction in cement raw material pre-decomposition process
  • Quality prediction method of employing disturbance reduction in cement raw material pre-decomposition process

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Embodiment Construction

[0061] The raw meal pre-decomposition process in the cement production process is an example:

[0062] The cement raw meal pre-decomposition process first mixes, heats, and crushes the raw materials to meet the specific particle requirements, and then sends various raw materials into the grinder in proportion to grind them into raw meal powder that meets the production requirements. In this process, variables such as the concentration of raw materials such as limestone and iron ore, and the valve opening of various raw material input pipelines are analyzed.

[0063] Step 1. Collect sensor data during the pre-decomposition process of cement raw meal, process it and establish a new type of prediction model. The specific steps are:

[0064] 1.1 Collect the data in the pre-decomposition process of cement raw meal for offline modeling. The data are divided into two categories, process data X and quality data Y, with a total of N samples.

[0065] X=[x 1 , x 2 ,...x m ], x 1 ,...

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Abstract

The invention discloses a quality prediction method of employing disturbance reduction in a cement raw material pre-decomposition process. According to the method, firstly, collected process data areprocessed by using wavelet denoising and an orthogonal signal to reduce associations between variables; secondly, partial least squares modeling is carried out by using the processed data; and finallya support vector machine is introduced to carry out model correction to reduce a nonlinear problem of the data. According to the quality prediction method, the disadvantages that the modeling processis complicated and nonlinear data cannot be processed in a traditional prediction model are improved and the capability of a model for tracking real data is improved.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a quality prediction method for reducing disturbance in the pre-decomposition process of cement raw meal. Background technique [0002] The initial stage in cement production is raw material processing. If there is a problem in this stage, it will affect the subsequent production process. The characteristic of the raw meal pre-decomposition process is that the boundary conditions change frequently, which leads to the low or high raw meal decomposition rate of the product quality index, which increases the load of the rotary kiln and indirectly leads to problems in the subsequent production process. It may lead to a series of problems such as delays in factory production tasks, capital losses, and production accidents. Therefore, it is of great practical significance to monitor the pre-decomposition process of cement raw meal and reduce the influence of disturbance on the result...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41875G05B2219/32368Y02P90/02
Inventor 张日东李翔欧丹林吴胜高福荣
Owner 中才邦业(杭州)智能技术有限公司