Integrated PCA-ICA blast furnace process monitoring and fault diagnosis method

A process monitoring and fault diagnosis technology, applied in program control, electrical test/monitoring, test/monitoring control system, etc., can solve the problem of difficult to take into account the coupling relationship of subsystems, difficult to capture fault symptoms, large fluctuation of blast humidity, etc. question

Active Publication Date: 2018-12-21
NORTHEASTERN UNIV
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Problems solved by technology

However, it also belongs to the blast furnace operation and adjustment component. The blast furnace operator will adjust accordingly according to the influence of the blast furnace condition. For example, the humidity of the blast sent into the blast furnace due to the lower tuyere fluctuates greatly, causing the temperature of the blast furnace to go down. It is necessary to add clean coke from the charging system to raise the temperature. , that is to say, there are mutual influences and constraints among different subsystems in order to achieve the goal of stable and direct operation of the blast furnace body, energy saving and consumption reduction
[0003] Due to the limitation of single-variable process monitoring, it is difficult to take into account the coupling relationship between various subsystems, making it difficult to capture the fault symptoms when they appear, and it is difficult to contain the occurrence of faults in time for remedial measures, and it is inevitable to contain the occurrence of faults in time failure loss

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  • Integrated PCA-ICA blast furnace process monitoring and fault diagnosis method
  • Integrated PCA-ICA blast furnace process monitoring and fault diagnosis method
  • Integrated PCA-ICA blast furnace process monitoring and fault diagnosis method

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Embodiment Construction

[0161] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0162] The blast furnace operating process data not only has Gaussian distribution characteristics, but also has non-Gaussian distribution characteristics. As shown in Table 1, it is the weight distribution of different process variables in the blast furnace ironmaking process.

[0163] Table 1 Weight distribution of different process variables in blast furnace ironmaking process

[0164]

[0165]

[0166] A blast furnace process monitoring and fault diagnosis method integrating PCA-ICA, which makes full use of the information contained in multivariate data and fully mines the internal structure of the data, so as to achieve the characteristics of both data variance...

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Abstract

The invention provides an integrated PCA-ICA blast furnace process monitoring and a fault diagnosis method, and relates to the technical field of blast furnace smelting process monitoring. The methodincludes the following steps that variable selection is assisted and input variable determination of a blast furnace process monitoring mode is determined; monitoring mode is practiced and monitoringof the integrated PCA-ICA is achieved. According to the integrated PCA-ICA blast furnace process monitoring and the fault diagnosis method, the integrated PCA-ICA process monitoring method is adoptedto monitor a blast furnace process, a novel fault identification index is designed, control limits of corresponding fault identification index are provided in the same time, so that an abnormal operation condition of a blast furnace is monitored and anomaly sources are identified, an inner structure of data is sufficiently analyzed, and thus the abnormal operation condition of the blast furnace ismonitored and the anomaly sources are identified to provide a technical support for ensuring persistent and stable operation of the blast furnace.

Description

technical field [0001] The invention relates to the technical field of blast furnace smelting process monitoring, in particular to a blast furnace process monitoring and fault diagnosis method integrating PCA-ICA. Background technique [0002] Blast furnace ironmaking is a complex closed system with multiple variables, strong coupling, and large time delay, which contains many subsystems that are independent and affect each other. Each subsystem is independent in space. For example, the charging subsystem belongs to the upper adjustment of the blast furnace and feeds materials from the top of the blast furnace. The hot blast system belongs to the lower adjustment of the blast furnace. independent in space. However, it also belongs to the blast furnace operation and adjustment component. The blast furnace operator will adjust accordingly according to the influence of the blast furnace condition. For example, the blast furnace temperature fluctuates greatly due to the blast b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 周平向文文张瑞垚
Owner NORTHEASTERN UNIV
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