US 2023/0191476 A1 · REAL-TIME MONITORING METHOD AND STABILITY ANALYSIS METHOD FOR CONTINUOUS CASTING PROCESS

Abstract

A real-time monitoring method for continuous casting process and a stability analysis method for continuous casting process includes several sub-processes divided according to the process sequence of the continuous casting process. The real-time monitoring method includes: determining the current sub-process of continuous casting process according slab length data and slab speed data, performing an abnormality diagnosis on the real-time data of key parameters corresponding to the current sub-process, and generating abnormality diagnosis results corresponding to the current sub-process. The stability analysis method provides: dividing actual data of key parameters into data segments corresponding to a plurality of sub-processes, inputting the actual data of key parameters belonging to the corresponding data segments into a stability feature model, outputting a stability feature index, performing abnormality diagnosis on the stability feature index, and generating an abnormality diagnosis result corresponding to the corresponding sub-process based on the output of the abnormality diagnosis.

Claims10

Dependent claims

A real-time monitoring method for continuous casting process, wherein the continuous casting process comprises a plurality of sub-processes divided according to the process sequence of the continuous casting process, and the real-time monitoring method comprises:

acquiring actual data of key parameters related to a key apparatus among a plurality of continuous casting apparatus from a process control system for continuous casting and/or a data acquisition system for the plurality of continuous casting apparatus;
receiving actual slab length data and actual slab speed data from the process control system in real time, and determining the current sub-process of the continuous casting process according to the actual slab length data and the actual slab speed data;
in the current sub-process, performing an abnormality diagnosis on the real-time data of the key parameters of the key apparatus corresponding to the current sub-process, and generating an abnormality diagnosis result corresponding to the current sub-process based on the output of the abnormality diagnosis.

A stability analysis method for continuous casting process, wherein the continuous casting process comprises a plurality of sub-processes divided according to the process sequence of the continuous casting process, and the stability analysis method comprises:

dividing actual data of key parameters related to key apparatus among a plurality of continuous casting apparatus into a plurality of data segments respectively corresponding to the plurality of sub-processes, wherein the actual data is obtained from a process control system for the continuous casting and/or a data acquisition system for the plurality of continuous casting apparatus during the continuous casting process;
inputting actual data of at least two key parameters belonging to the corresponding data segments into a stability feature model which outputs a stability feature index, wherein the stability feature model is predefined according to the correlation between the at least two key parameters;
performing an abnormality diagnosis for the output stability feature index, and generating an abnormality diagnosis result corresponding to the corresponding sub-process based on the output of the abnormality diagnosis.

Dependencies are inferred from the claim text.

Real-time monitoring method and stability analysis method for continuous casting process

Life of this patent

Real-time monitoring method and stability analysis method for continuous casting process

Life of this patent

Abstract

Claims10