Sintering process working condition identification method and system considering time sequence

A technology for sintering process and working condition recognition, which is applied in character and pattern recognition, instruments, data processing applications, etc. It can solve the problems of not considering the timing correlation between data and the reliability of working condition recognition results.

Active Publication Date: 2019-09-17
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a time-sequence-considering method for the above-mentioned existing working condition identification method that hardly considers the t

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  • Sintering process working condition identification method and system considering time sequence
  • Sintering process working condition identification method and system considering time sequence
  • Sintering process working condition identification method and system considering time sequence

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Embodiment Construction

[0052] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0053] A sintering process working condition identification method considering timing, such as figure 1 shown, including:

[0054] Step 1: Obtain the detection parameters of the sintering process from the sensor of the sintering machine, and perform data preprocessing on the detection parameters of the sintering process, specifically including:

[0055] Use the median filter to process the detection parameters of the sintering process to reduce the random error of detection; eliminate the zero detection data caused by sensor failure and shutdown; set the sampling interval of data to 30 seconds to reduce the redundancy of data; select each time The length of the subsequence is 5 minutes and contains 10 data points for e...

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Abstract

The invention provides a sintering process working condition identification method and system considering a time sequence. The method takes the time sequence data of the process parameters of a sintering process as the input and takes a sintering process working condition as the output, and comprises the steps of firstly, utilizing a Spearman rank correlation analysis method and an information entropy analysis method for parameter selection and combination, and obtaining the combined decision parameters; then, using a fuzzy C-means clustering algorithm based on the dynamic time warping distance for clustering the time sequence data, and obtaining a clustering result of the combined decision parameters; and finally, using a naive Bayes classifier for the working condition recognition, and obtaining the recognized sintering process working condition. According to the working condition recognition method, the effective recognition of the working condition during the sintering process is achieved, and the important economic value and the application value are achieved.

Description

technical field [0001] The invention relates to the field of pattern recognition and intelligent control of the iron ore sintering production process, in particular to a method and system for identifying the working conditions of the sintering process in consideration of timing. Background technique [0002] Sintering is the main way to artificially enrich ore, and the sinter produced by it is the main raw material for blast furnace ironmaking. With the increase of demand for steel, it is increasingly difficult for natural rich ore to meet the development needs of the steel industry. Therefore, iron ore sintering becomes particularly important. The sintering process is a thermal polymerization process, and its main raw materials are iron ore, return ore, flux and coke. The sintering process has high energy consumption and serious pollution, which has always been an important concern of iron and steel enterprises. The working condition refers to the operating state of the ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/02G06K9/62C22B1/16
CPCG06Q10/0633G06Q50/02C22B1/16G06F18/23213
Inventor 吴敏杜胜陈略峰曹卫华胡杰周凯龙
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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