Cold rolled strip steel galvanizing line process control method

Abstract

The invention relates to a cold rolled strip steel galvanizing line process control method and belongs to the technical field of cold rolled strip steel processing line automation. The technical scheme comprises the following steps of classifying to-be-produced strip steel through utilization of a steel type classification algorithm; carrying out data matching based on steel type groups and stripsteel specification data, and correcting computed values through adoption of values if the same type of strip steel is produced previously; solving corresponding parameter set values through adoptionof a linear difference value algorithm; carrying out production if the set values are confirmed to be correct; and storing all history data, carrying out offline optimization and fitting a set value curve. The method has the beneficial effects that a galvanizing line process control level is improved, use convenience of production line workers is improved, misoperation and a defective rate are greatly reduced, and powerful support is provided for an information system by relatively precise production data and product information.

Description

technical field [0001] The invention relates to a process control method for a cold-rolled strip steel galvanizing line, which belongs to the technical field of cold-rolled strip steel processing line automation. Background technique [0002] In the galvanizing treatment line in the field of cold-rolled strip steel production, the process control system is an important part of the connection between the manufacturing execution system (MES) and the site controller (PLC). The parameter setting of the link and the statistics of the actual production data play a vital role. The core function module of the process control system is the mathematical model for parameter setting calculation. The old production line of the existing technology considers a single product category and simple site conditions at the beginning of the design. The mathematical model cannot support the current demand, resulting in parameter setting. Generally, extensive setting methods are adopted, which can...

AI Technical Summary

Problems solved by technology

The core function module of the process control system is the mathematical model for parameter setting calculation. The old production line of the existing technology considers a single product category and simple site conditions at the beginning of the design. The mathematical model cannot support the current demand, resulting in parameter setting. Generally, the extensive setting method is adopted, which cannot fully combine product characteristics and historical production data, resulting in low production accuracy, requiring more manual intervention, and cannot meet the needs of small batches and multiple varieties of orders.

Images