Method for forecasting continuous casting crystallizer steel leakage by adopting spatial density-based clustering DBSCAN

Abstract

The invention discloses a method for forecasting continuous casting crystallizer steel leakage by adopting spatial density-based clustering DBSCAN, and belongs to the technical field of ferrous metallurgy continuous casting detection. In the method, continuous casting steel leakage forecast and clustering analysis are organically combined, temperature data series at different times are analyzed through density-based clustering, and crystallizer steel leakage is recognized online and forecasted accurately. The method particularly comprises the steps that feature extraction is conducted on crystallizer copper plate thermocouple temperature data through density-based clustering, a steel leakage sample accumulation area and a mean vector are obtained, whether the temperature series detected inreal time are located in the accumulation area or not is judged online on the basis, a typical steel leakage temperature mode is recognized, and crystallizer steel leakage is forecasted. According tothe method, typical change features of thermocouple temperature in the time and space are extracted and fused according to the single and approximate features of the temperature mode during steel leakage, the similarity of a large quantity of steel leakage samples is excavated through clustering analysis, temperature fluctuation and misforecast caused by factors such as normal working condition and manual operation are effectively rejected, and the steel leakage forecast accuracy rate is significantly increased.

Description

technical field [0001] The invention belongs to the technical field of iron and steel metallurgy continuous casting detection, and relates to a method for predicting steel breakout of a continuous casting mold by using space density clustering DBSCAN. Background technique [0002] Continuous casting mold breakout is a catastrophic accident that occurs when surface defects such as bonding or cracks develop to a certain extent. It will not only disrupt the normal production order, but also seriously damage equipment such as molds and sector rollers, causing huge losses. Economic loss brings great safety hazards at the same time. Therefore, it is of great significance to develop an accurate and efficient mold breakout prediction method to ensure the smooth operation of the continuous casting process. [0003] Common breakouts in the continuous casting process include: bonded breakouts, cracked breakouts and hanging breakouts. Among them, bonded breakouts have the highest occu...

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Problems solved by technology

The limitation of this method is that each temperature time series has different amplitude, rate of change, temperature difference, etc. under different steel types and process parameters. large

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