Data processing method and device of sintering control parameter

Abstract

The invention relates to a data processing method for sintering control parameters. The method comprises the following steps: defining the normal numeric ranges of the control parameters; setting a first timer so as to control detection instruments to detect the real-time production data of the control parameters periodically; setting a second timer so as to periodically acquire the real-time production data of the control parameters detected by the detection instruments; carrying out the exception discarding treatment of the real-time production data of the control parameters according to the normal numeric ranges of the control parameters; and storing the data after the exception discarding treatment into a real-time database. The invention also provides a data processing device for the sintering control parameters. The data processing method and the data processing device can realize the noise processing of the real-time production data of the control parameters in the sintering process, and improve the accuracy and stability of the status control in the sintering process.

Description

technical field [0001] The invention relates to the field of iron and steel smelting, in particular to a data processing method and device for sintering control parameters. Background technique [0002] Sintering is a method in which powdery materials are heated at high temperature and sintered into blocks under the condition of incomplete melting. The control of the sintering process is very complicated, which involves a large number of physical parameters such as temperature, pressure, speed, and flow rate, as well as complex processes such as physical changes, chemical reactions, and liquid phase generation, as well as the distribution of gas in the solid material layer and the distribution of temperature fields. and many other issues. From the point of view of control, the sintering process is a typical complex controlled object with multi-variable, nonlinear and strong coupling characteristics. Therefore, in actual production, it is very important to realize precise a...

AI Technical Summary

Problems solved by technology

Moreover, the instruments that collect real-time production data also cause data noise due to their own faults, such as collection errors or collection failures.

Therefore, if the real-time production data obtained by the instrument detection is directly used for sintering process control, it is easy to cause a sudden change in the control model based on the production data, which will affect the accuracy and stability of the sintering process control

[0005] However, the existing technologies are all directly using the real-time production data obtained by instrument detection to calculate the process state, so as to control the sintering process

The existing technology is still unable to realize the real-time processing of the real-time production data of the control parameters in the sintering process, and cannot effectively remove the noise data. Therefore, the accuracy and stability of the sintering process control cannot be well guaranteed

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