Soft measurement method of free calcium of cement clinker

A cement clinker and soft measurement technology, which is applied in neural learning methods, chemical informatics data warehouses, biological neural network models, etc., to reduce the amount of computation, improve the convergence speed, and avoid delay

Active Publication Date: 2019-01-04
YANSHAN UNIV
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Although the method in the literature considers the variable information within one hour, only one feature value is ex

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  • Soft measurement method of free calcium of cement clinker
  • Soft measurement method of free calcium of cement clinker
  • Soft measurement method of free calcium of cement clinker

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[0023] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments.

[0024] The invention proposes a soft measurement modeling method for cement clinker free calcium based on multivariate time series convolutional neural network. The design scheme of soft measurement is as follows: figure 1 shown. Firstly, the variable selection is carried out, and the related variables of clinker fCaO are obtained according to the analysis of cement process, and the time series of soft sensor modeling is determined. The time series containing the feature information of each variable is used as the modeling data. Accordin...

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Abstract

The invention discloses a soft measurement method of free calcium of cement clinker. The method comprises the following steps: selecting 10 variables as auxiliary variables for clinker fCaO soft measurement according to a cement process, inputting the time sequence, serving as a model, of each variable, and performing normalization processing on the time sequence of each selected variable; according to the characteristic of the time sequence in the cement sintering process, establishing a clinker fCaO soft measurement model based on a multi-variable time sequence convolutional neural network,determining an initial parameter of an MT-CNN model and performing forward-direction training on the network; performing supervised training by utilizing error reverse fine adjustment, optimizing weight w and bias b in the MT-CNN by correcting the error, and predicting the cement clinker fCaO in real time by utilizing the trained MT-CNN model. Calculation of time delay between each variable and the clinker fCaO is avoided and the calculation quantity needed by time sequence matching is reduced; the convergence speed, the precision and the generalization ability of the model are improved; and the fCaO content of the cement clinker can be predicted well, the quality of the cement clinker can be improved and the production energy consumption can be reduced.

Description

technical field [0001] The invention relates to the monitoring field of cement clinker free calcium, in particular to a method for measuring the softness of cement clinker free calcium. Background technique [0002] The content of free calcium (fCaO) in cement clinker is an important index to measure the quality of clinker in the production of new dry process cement. The content of fCaO in clinker not only affects the stability and clinker strength of cement, but also directly affects the energy consumption of cement firing. At present, it is difficult to monitor the fCaO content of cement clinker online. It mainly relies on manual sampling once an hour and measured it through laboratory tests. The offline measurement results have obvious lag in the guidance of the cement firing process, and it is difficult to realize the cement firing process. Real-time control and optimization. The firing process of cement clinker has the characteristics of large inertia, large time dela...

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Application Information

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IPC IPC(8): G16C20/90G06N3/04G06N3/08
CPCG06N3/049G06N3/084G06N3/045
Inventor 赵彦涛何永强贾利颖杨黎明郝晓辰
Owner YANSHAN UNIV
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