Method for predicting sheet temperature of steel strip, method for controlling sheet temperature of steel strip, steel strip production method, and method for generating steel strip sheet temperature prediction model

A method for generating a steel strip sheet temperature prediction model, the method being used to generate a sheet temperature prediction model for predicting a sheet temperature of a steel strip on an outlet side of a soaking zone in an annealing step in a hot strip annealing equipment, the method comprising:

• a learning data acquisition step of acquiring a plurality of pieces of learning data by using, as input data,
• one or more pieces of operation track record data selected from among pieces of track record data on an operation of the hot strip annealing equipment,
• one or more parameters selected from among attribute parameters related to dimensions of steel strips,
• one or more parameters selected from among attribute parameters related to component compositions of steel strips, and
• one or more parameters selected from among attribute parameters related to shapes of steel strips, and
• by using, as output data, information obtained based on the input data and related to sheet temperatures of steel strips on the outlet side of the soaking zone in the annealing step;
• and
• a sheet temperature prediction model generation step of generating a sheet temperature prediction model through machine learning using the plurality of pieces of learning data generated in the learning data acquisition step,
• the sheet temperature prediction model being adapted to receive, as input data, operation data, an attribute parameter related to the dimensions of the steel strip, an attribute parameter related to a component composition of the steel strip, and an attribute parameter related to a shape of the steel strip, and provide, as output data, a sheet temperature of the steel strip on the outlet side of the soaking zone.