Soft measurement method for granularity of cement raw material grinded by ball mill

A technology for cement raw meal and soft measurement, which can be used in measurement devices, particle size analysis, neural learning methods, etc., and can solve problems such as slow convergence speed and low estimation accuracy.

Active Publication Date: 2013-10-09
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] Aiming at the shortage of real-time measurement of finished product particle size in the current raw meal grinding process, the technical problem to be solved by the present invention is to provide a method that can ove...

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  • Soft measurement method for granularity of cement raw material grinded by ball mill
  • Soft measurement method for granularity of cement raw material grinded by ball mill
  • Soft measurement method for granularity of cement raw material grinded by ball mill

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Embodiment Construction

[0052] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0053] A kind of ball mill cement raw material grinding particle size soft measurement method of the present invention comprises the following steps:

[0054] 1. Selection of auxiliary variables: The speed of the classifier, the feeding flow rate, the air pressure at the inlet of the classifier, and the load of the classifier are used as the auxiliary variables of the soft measurement model for the particle size of the finished product;

[0055] 2. Data preprocessing: mainly including screening, filtering and standardizing the original data.

[0056] 3. Soft sensor modeling based on GA-NN (genetic algorithm optimized neural network): The present invention proposes a learning algorithm for neural network training based on the GA (Genetic Algorithm-genetic algorithm) algorithm. The weights that need to be adjusted in the neural network are regard...

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Abstract

The invention relates to a soft measurement method for granularity of cement raw material grinded by ball mill. The method comprises: selection of auxiliary variables, wherein a rotating speed of a powder concentrator, a feeding flow, an inlet wind pressure of the powder concentrator and a load of the powder concentrator are used as auxiliary variables of the soft measurement model for granularity of finished products; Data pre-treatment, wherein original data are screened, filtered and standardized; soft measurement modeling based on GA-NN (genetic algorithm optimized neural network), wherein a learning algorithm used for neural network training is brought forward based on GA (genetic algorithm), weights needed to be adjusted in a network are recognized as chromosomal genes, and the network training process is completed through chromosome selection, crossover and mutation; and correction of the soft measurement model by using a long-term correction way. The method can measure quite important finished product granularity parameters which are hard to be directly detected, thereby being capable of implementing advanced control and optimized method for a raw material grinding process by the ball mill.

Description

technical field [0001] The invention relates to the field of parameter monitoring in the cement production process, in particular to a soft measurement method for the particle size of cement raw meal powder in a ball mill. Background technique [0002] The particle size of the finished product is an important quality indicator in the cement raw meal grinding process of the ball mill. Cement raw meal with appropriate particle size and uniform particle size is conducive to the rapid and stable chemical reaction in the firing process. In order to ensure the smooth progress of production, the cement raw meal grinding process must control the particle size of the finished product within a certain range. During the production process, due to the lack of on-line detection equipment for the particle size of the finished product, the advanced control system cannot obtain the particle size information of the raw material in time. Although cement enterprises can obtain off-line measu...

Claims

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Application Information

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IPC IPC(8): G01N15/02G06N3/08
Inventor 于海斌王卓刘钊苑明哲
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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