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PCA (Principle Component Analysis) model based furnace temperature and tension monitoring and fault tracing method of continuous annealing unit

A furnace temperature and model technology, applied in heat treatment process control, manufacturing tools, heat treatment equipment, etc., can solve problems such as difficult monitoring and fault diagnosis, large number of process variables, and inability to guarantee product quality

Inactive Publication Date: 2010-12-01
SHANGHAI BAOSTEEL IND TECHNOLOGICAL SERVICE +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the complex process of strip continuous annealing and the large number of process variables, it is very difficult to monitor and troubleshoot the production process using traditional methods, so product quality cannot be guaranteed

Method used

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  • PCA (Principle Component Analysis) model based furnace temperature and tension monitoring and fault tracing method of continuous annealing unit
  • PCA (Principle Component Analysis) model based furnace temperature and tension monitoring and fault tracing method of continuous annealing unit
  • PCA (Principle Component Analysis) model based furnace temperature and tension monitoring and fault tracing method of continuous annealing unit

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0188] Embodiment 1: Process monitoring and fault diagnosis of continuous annealing unit temperature

[0189] variable selection

[0190] According to the knowledge of the annealing mechanism, 32 process variables are selected for the establishment of the temperature model, including: plate temperature of each section, furnace temperature of each section, speed, thickness, and width of the central section.

[0191] data collection

[0192] For the modeling data of the temperature monitoring model based on PCA, the quenching and tempering degree of the steel strip is selected as T-3CA, and the normal production data of the annealing unit is used for one month, and the field data collection frequency is 1 second / time.

[0193] In practical applications, the process data comes from the field, and is affected by factors such as the accuracy and reliability of the measuring instrument and the field measurement environment, and inevitably has various measurement errors. The use of...

Embodiment 2

[0203] Embodiment 2: Process monitoring and fault diagnosis of tension in continuous annealing unit

[0204] variable selection

[0205] According to the knowledge of the annealing mechanism, 22 process variables are selected for the establishment of the tension model, including tension and process variables related to tension: 19 tension measuring points, central section speed, thickness, and width.

[0206] data collection

[0207] The quenching and tempering degree of the PCA-based tension monitoring model is selected as T-4CA, the normal production data of the annealing unit is used for 10 days, and the field data collection frequency is 1 second / time. Taking the average, we get 30,000 modeling samples.

[0208] model training

[0209] The above effective modeling data is sent to the PCA tension monitoring and fault diagnosis offline model, and the model parameters are obtained through training.

[0210] model validation

[0211] In order to verify the reliability of ...

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Abstract

The invention relates to a fault monitor and diagnosis method of a continuous annealing unit, in particular to a PCA (Principle Component Analysis) model based furnace temperature and tension monitoring of a continuous annealing unit, mainly comprising the following steps of firstly, according to process variable data obtained in the field, and establishing a temperature and tension monitor modelby utilizing a principle component analysis PCA method; secondly, establishing an off-line model and calculating the T2 statistics quantity and the SPE statistics quantity as well as contributed control limits thereof by utilizing the data, obtained in step one, when process variable is in a normal work condition; thirdly, applying an on-line model, calculating the T2 statistics quantity and the SPE statistics quantity of current data, monitoring whether a current state is normal or not according to information supplied by the off-line model, and giving alarm signals if abnormal; fourthly, determining a leading variable which causes a fault by utilizing contribution of the T2 statistics quantity and contribution of the SPE statistics quantity. The invention monitors the furnace temperature and tension in real time in the production process and traces back a fault reason for leading to system abnormality when the abnormality occurs.

Description

technical field [0001] The invention relates to fault monitoring and diagnosis of a continuous annealing unit, in particular to a method for monitoring the furnace temperature and tension of the continuous annealing unit and tracing back the fault. Background technique [0002] After cold rolling, the strip steel produces cold plastic deformation, and there are obvious cold work hardening phenomena and extremely high internal stress. In order to eliminate cold work hardening and internal stress, stabilize the structure, and improve the performance of the steel, the strip steel after cold rolling should be annealed. Annealing is a heat treatment process that heats the strip steel to an appropriate temperature, keeps it warm for a certain period of time, and then cools it slowly to obtain a state close to equilibrium. The continuous annealing unit integrates strip cleaning, annealing, leveling, finishing and other processes, and has many advantages such as high production eff...

Claims

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Application Information

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IPC IPC(8): C21D11/00
Inventor 陈卫东李东江汪源王仲庆徐家倬
Owner SHANGHAI BAOSTEEL IND TECHNOLOGICAL SERVICE
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