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Method, device and system for predicting, evaluating and optimizing cement clinker performance

A cement clinker and performance prediction technology, applied in prediction, neural learning methods, character and pattern recognition, etc., can solve problems such as limited quality control, lack of reliability and accuracy, and failure to achieve stable optimization and improvement, and achieve Reduce cement production cost and production energy consumption, enhance product market competitiveness, and reduce the effect of optimization cycle

Pending Publication Date: 2021-06-25
CHINA BUILDING MATERIALS ACAD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This lacks reliability and accuracy, the quality control effect is limited, and the goal of stable optimization and improvement cannot be achieved

Method used

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  • Method, device and system for predicting, evaluating and optimizing cement clinker performance
  • Method, device and system for predicting, evaluating and optimizing cement clinker performance
  • Method, device and system for predicting, evaluating and optimizing cement clinker performance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0136] 500 sets of production data were collected in A cement plant, including chemical composition, free calcium oxide f-CaO content, clinker three-rate value, 3-day and 28-day strength and other complete sets of data information. Clean the data, remove the data with missing experimental values, discard the data that cannot be perfected, and sort out and obtain 472 sets of effective cement clinker production data samples. See figure 2 . According to the calculation relationship between the rate value and the chemical composition, data dimensionality reduction is carried out. After selecting the clinker rate value and CaO, SiO 2 、Al 2 o 3 and Fe 2 o 3 Only one of the four main components needs to be determined, and the other three can be determined, so three of the chemical composition variables can be deleted.

[0137] In this embodiment, the clinker rate value and CaO are selected as characteristic variables, and SiO is deleted. 2 、Al 2 o 3 and Fe 2 o 3 Compositi...

Embodiment 2

[0143] The performance prediction model formed by using the cement production process data obtained in Example 1 above can not only predict the strength performance of clinker, but also can be used to guide and optimize the production process and improve the clinker firing quality. The unsupervised learning method was used to analyze the distribution relationship and characteristics of the 3-day and 28-day strength, chemical composition and rate value of 472 groups of clinker samples, and the structure-activity relationship between each parameter variable and performance was obtained. According to the analysis results, for the data of the cement plant, the cement clinker with excellent 3-day and 28-day strength properties can be prepared by appropriately reducing the silicon rate N and increasing the aluminum rate P, such as Figure 5 to Figure 9 As shown, the relationship diagram of silicon rate and 3-day strength, the relationship diagram of silicon rate and 28-day strength, ...

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Abstract

The invention relates to a method, a device and a system for predicting, evaluating and optimizing cement clinker performance. The method comprises the steps of using a machine learning method, and building a cement clinker performance prediction model based on historical data of cement clinker production; obtaining production data of the cement clinker to be detected, and inputting the production data into the performance prediction model to obtain performance prediction data of the cement clinker to be detected; evaluating and analyzing the performance of the cement clinker to be detected; if the performance prediction data of the cement clinker to be detected meet the set requirements, directly outputting the performance prediction data; and if the performance prediction data of the to-be-tested cement clinker does not meet the set requirements, optimizing the production data of the to-be-tested cement clinker until the performance prediction data meets the set requirements. According to the method, a large amount of accumulated production data of a cement plant is utilized, the performance of the clinker is rapidly predicted and evaluated by constructing the performance prediction model of the cement clinker, and stable control and optimization improvement of the production quality of the clinker are achieved.

Description

technical field [0001] The invention relates to the technical field of cement detection, in particular to a cement clinker performance prediction, evaluation and optimization method and its device and system. Background technique [0002] Quickly evaluate the performance of cement clinker, adjust the production plan in time during clinker production, and optimize the clinker production process parameters are the keys to effectively control and optimize the quality of clinker production. At present, the optimization of my country's cement clinker production process generally adopts the traditional trial and error method. However, the determination of cement properties generally takes at least 28 days. Therefore, using the traditional trial and error method to adjust the process and production parameters not only consumes a lot of time and resources, but also fails to meet the timeliness requirements of production control. [0003] Although some scholars have tried empirical...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06K9/62G06N3/08G06N20/00
CPCG06Q10/04G06Q10/06395G06N20/00G06N3/088G06F18/23
Inventor 任雪红张文生叶家元张洪滔史迪董刚
Owner CHINA BUILDING MATERIALS ACAD
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