Rolling load prediction method, rolling load prediction device, and rolling control method
AssigneeJfe Steel Corporation
InventorsTomohiko Sugiyama, Kaoru Tanaka, Kei Nishikawa
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Abstract
A rolling load prediction method predicts a rolling load of a rolling mill for rolling steel and includes predicting the rolling load of the rolling mill in a case where the steel is rolled under an operating condition for prediction, by inputting the operating condition for prediction into a rolling load prediction model that has been trained with operation record data including at least a factor related to a temperature of the steel as an input variable and an actual value of the rolling load of the rolling mill as an output variable.
Claims4
A rolling load prediction device for predicting a rolling load of a rolling mill for rolling steel, the device comprising:
- circuitry configured to:
- predict the rolling load of the rolling mill in a case where the steel is rolled under an operating condition for prediction, by inputting the operating condition for prediction into a rolling load prediction model that has been trained with operation record data including at least a factor related to a temperature of the steel as an input variable and an actual value of the rolling load of the rolling mill as an output variable;
- calculate a setting value of the rolling mill using the predicted rolling load of the rolling mill;
- and
- control the rolling mill according to the calculated setting value, wherein
- the factor related to the temperature of the steel includes a temperature of a skid rail that supports the steel in a heating furnace.
A rolling control method comprising:
- calculating a setting value of a rolling mill using a rolling load of the rolling mill predicted using a rolling load prediction method;
- and
- controlling the rolling mill according to the calculated setting value, wherein
- the rolling load prediction method including
- predicting the rolling load of the rolling mill in a case where the steel is rolled under an operating condition for prediction, by inputting the operating condition for prediction into a rolling load prediction model that has been trained with operation record data including at least a factor related to a temperature of the steel as an input variable and an actual value of the rolling load of the rolling mill as an output variable, and
- the factor related to the temperature of the steel includes a temperature of a skid rail that supports the steel in a heating furnace.
Dependencies are inferred from the claim text.