Cement particle size distribution prediction method based on random distribution

A particle size distribution and prediction method technology, applied in the direction of measuring devices, particle size analysis, particle and settlement analysis, etc., can solve the problem of low prediction accuracy, inability to fully reflect the actual quality and performance of cement, and non-Gaussian characteristics of cement particle size distribution. And other issues

Active Publication Date: 2019-03-08
TAIYUAN UNIV OF TECH
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Problems solved by technology

These soft measurement techniques all use the percentage of cement fineness as the prediction result, which cannot fully reflect the actual quality and per

Method used

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  • Cement particle size distribution prediction method based on random distribution
  • Cement particle size distribution prediction method based on random distribution
  • Cement particle size distribution prediction method based on random distribution

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Embodiment Construction

[0076] The cement grinding quality monitoring based on the random distribution prediction algorithm can be implemented by using the modeling process and real-time process:

[0077] The modeling process includes the following steps:

[0078] S100: Store all parameter signals as historical data sets, and the establishment of historical data sets can be implemented in the following ways:

[0079] Historical data needs to collect mill feeding amount, mill current, mill inlet temperature, mill outlet temperature, mill pressure difference, circulating elevator current, powder separator speed, and circulating fan current. Before feeding, put the material on the weighing table for weighing to obtain the feeding amount of the mill, and select the feeding amount of group P fixedly. Install current transformers to record the working current of the mill, circulation hoist, and circulation fan equipment, and install temperature sensors at the 3 / 1 inlet and 3 / 1 outlet of the mill to record...

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Abstract

The invention belongs to the technical field of cement fineness prediction, in particular to a cement particle size distribution prediction method based on random distribution. The method includes thesteps of obtaining the feed quantity of mill, working current of mill, temperature of inlet and outlet of mill, pressure difference of mill, current of circulating lifting machine, rotational speed of separator, current of circulating fan and probability distribution of cement particle size at corresponding time, and storing all parameter signals as historical data set; S200 establishing the basis function expression model of probability distribution density function of cement particle size; S300 screening out abnormal data, and assigning sample weights according to classification to form newdata samples; S400 establishing the nonlinear prediction model between the input variables and the previous n-1 weight vectors to predict the cement particle size distribution at the next time; S500updating the basis function of the cement particle size probability distribution density function to represent the model parameters through the output error value of the model. The method of the invention can detect the cement particle size distribution in the cement grinding system in real time.

Description

technical field [0001] The invention belongs to the technical field of cement fineness prediction research, in particular to a method for predicting cement particle size distribution based on random distribution. Background technique [0002] Cement is a powder product composed of particles of different sizes in a certain proportion. The cement grinding system is the process of grinding cement clinker into cement products that meet national quality standards. It is the last link in the process of producing cement, but also a crucial link. At present, the evaluation of cement quality standards is mainly based on cement fineness, which has a great influence on cement strength, setting time, and water consumption for quasi-consistency. Cement fineness mainly includes three indicators of sieve residue, specific surface area, and particle gradation. In enterprise production, sieve residue or specific surface area is usually used to measure and judge cement fineness. In fact, s...

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Application Information

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IPC IPC(8): G06F16/2458G06N3/04G01N15/02
CPCG01N15/02G06N3/045
Inventor 程兰来颜博阎高伟闫飞乔铁柱
Owner TAIYUAN UNIV OF TECH
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