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Blast furnace ironmaking process monitoring method based on Local-DBKSSA

A technology of process monitoring and blast furnace ironmaking, applied in the direction of electrical program control, comprehensive factory control, manufacturing computing system, etc., can solve the problems of loss of performance, lack of multi-view complex dynamics, nonlinearity, burial, etc., and achieve high fault monitoring rate , Improving the monitoring ability and the effect of low false detection rate

Pending Publication Date: 2022-08-09
ZHEJIANG UNIV
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Problems solved by technology

However, the accumulation of noise caused by time-delay shifting techniques may bury useful information
[0004] Meanwhile, according to our knowledge of the prior art, when the above methods are applied to BFIP, they all lose their ideal performance due to the lack of consideration of multi-view complex dynamics and nonlinearity

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  • Blast furnace ironmaking process monitoring method based on Local-DBKSSA
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Embodiment Construction

[0055] In order to describe the technical solutions of the present invention more clearly and completely, the present invention will be further elaborated below with reference to the accompanying drawings and embodiments.

[0056] like figure 1 As shown, a modeling method based on local dynamic wide-kernel steady-state subspace analysis (Local-DBKSSA) of the present invention includes the following steps:

[0057] (1) For offline modeling, each sensor (flow sensor, temperature sensor, concentration sensor, etc.) needs to be installed at each position in the process, and the corresponding data is stored in the database. Then, based on the data collected in the database, the process data during normal operation, where the m-dimensional measurement vector at the t-th time can be expressed as Subsequently, the time lag vector can be constructed as follows,

[0058]

[0059] Here the parameter q represents the number of time lags, and T is the transpose symbol. After colle...

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Abstract

The invention discloses a blast furnace ironmaking process monitoring method based on Local-DBKSSA to improve the monitoring performance of the blast furnace ironmaking process, and the method comprises two parts of offline modeling and online monitoring. The offline modeling comprises regularization of original data, construction of a time expansion matrix, feature extraction and SPSamp; performing NPS decomposition, and calculating a statistical magnitude and a threshold value; the online monitoring comprises regularization of test samples, time expansion samples, feature reconstruction, SPS part construction, local statistics and process state judgment. According to the method, dynamic wide nonlinear features are constructed on the basis of time shifting and multi-core projection, so that process features are explored from more angles. The features are then integrated into steady state subspace analysis (SSA) to accurately estimate steady state projection from time-varying data. Moreover, in order to reduce the influence of large fluctuation in the process and improve the fault detection capability, the invention further provides statistics based on a local strategy.

Description

technical field [0001] The invention relates to the field of blast furnace ironmaking process monitoring, in particular to a blast furnace ironmaking process monitoring method based on Local-DBKSSA (local dynamic wide nuclear steady state subspace analysis). Background technique [0002] The blast furnace ironmaking process (BFIP) is the core front-end production link of modern steel manufacturing. Ensuring the stability of BFIP is also a prerequisite for enterprise operation. When an abnormality occurs, serious situations such as increased raw material consumption, substandard smelting quality, and increased equipment failures will occur, resulting in heavy losses of resources, and even serious production accidents and casualties. For this reason, realizing more accurate and comprehensive process monitoring is an important means to ensure the safety and efficiency of BFIP, and it is also one of the most worthy concerns of the industry and scholars. At present, what hinder...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/30
Inventor 杨春节楼嗣威许永泓杨越麟吴平
Owner ZHEJIANG UNIV
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