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Method and system for evaluating performance of sintering process based on time series feature extraction

A technology for operating performance and feature extraction, which is applied in manufacturing computing systems, neural learning methods, data processing applications, etc., and can solve problems such as difficulty in evaluating operating performance during sintering

Active Publication Date: 2022-07-19
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 sintering process performance evaluation method and system based on time series feature extraction to solve the above-mentioned technical defects.

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  • Method and system for evaluating performance of sintering process based on time series feature extraction
  • Method and system for evaluating performance of sintering process based on time series feature extraction

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Embodiment Construction

[0050] In order to have a clearer understanding of the technical features, objects and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0051] The performance evaluation method of sintering process based on time series feature extraction, such as figure 1 shown, including

[0052] Step 1: Preprocess the time series data of the sintering end point and the time series data of the detection parameters;

[0053] Step 2: Taking the sintering end point as the decision parameter, the process capability index is obtained, and based on this, the operation performance level of the sintering process is divided;

[0054] Step 3: Extract four characteristic variables of each detection parameter time series in the sintering process, which are mean value, standard deviation, mean absolute error and trend characteristics;

[0055] Step 4: Use the four characteristic variables of...

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Abstract

The invention provides a method for evaluating the operation performance of the sintering process based on time series feature extraction. The invention uses the process capability index as the evaluation index of the operation performance, and divides the operation performance level based on this. Firstly, four characteristic variables of each detection parameter time series in the sintering process are extracted, which are mean, standard deviation, mean absolute error and trend characteristics. Taking the time series feature variable as the input of the running performance evaluation model, and taking the code of the running performance level as the output of the running performance evaluation model, the back-propagation neural network is used to construct the running performance evaluation model. The invention uses the time series characteristic variable to represent the data redundant time series, which not only helps to improve the evaluation accuracy of the running performance, but also provides a powerful guide for the operator to evaluate and control the sintering process.

Description

technical field [0001] The invention relates to the field of intelligent evaluation and control of iron ore sintering production process, in particular to a method and system for evaluating the operation performance of sintering process based on time series feature extraction. Background technique [0002] Process monitoring is to roughly divide the operation status of the production process into two categories: "normal" and "fault". However, in order to obtain high-quality products and higher comprehensive economic benefits, it is not enough to make a rough division of "normal" and "failure" in the process operating state. As far as possible to ensure that the operating state of the industrial production process is at the optimal level, which involves the evaluation of the operating state of the industrial production process. [0003] Operational status evaluation refers to the evaluation of the pros and cons of process operation performance under the premise of safe produ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/04G06N3/08
CPCG06Q10/0639G06Q50/04G06N3/084Y02P90/30
Inventor 杜胜吴敏陈略峰曹卫华胡杰周凯龙
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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