Rubber mixing machine control device, method and program utilizing machine learning

A mixing machine control method comprising:

• acquiring a measured value of a rubber temperature parameter related to a temperature of a rubber material to be kneaded by a mixing machine and measured values of correlation parameters that have a correlation with a change in the value of the rubber temperature parameter caused by the kneading of the mixing machine and include at least operational control parameters of the mixing machine specified by correlation analysis;
• assigning the measured values to an operational control parameter-calculation model equation, which is modified from a rubber temperature parameter-calculation model equation including the operational control parameters and the correlation parameters and calculates a predetermined operational control parameter among the plurality of operational control parameters, and calculating a constant and coefficients of the operational control parameters and the correlation parameters by using a machine learning algorithm;
• and
• calculating the predetermined operational control parameter, which is required in a case in which the rubber temperature parameter is controlled to a predetermined value, by using an operational control parameter-calculation equation specified by the coefficients and the constant calculated using the machine learning algorithm.

A non-transitory computer-readable storage medium having stored therein a program causing a computer to implement:

• acquiring a measured value of a rubber temperature parameter related to a temperature of a rubber material to be kneaded by a mixing machine and measured values of correlation parameters that have a correlation with a change in the value of the rubber temperature parameter caused by the kneading of the mixing machine and include at least operational control parameters of the mixing machine specified by correlation analysis;
• assigning the measured values to an operational control parameter-calculation model equation, which is modified from a rubber temperature parameter-calculation model equation including the operational control parameters and the correlation parameters and calculates a predetermined operational control parameter among the plurality of operational control parameters, and calculating a constant and coefficients of the operational control parameters and the correlation parameters by using a machine learning algorithm;
• and
• calculating the predetermined operational control parameter, which is required in a case in which the rubber temperature parameter is controlled to a predetermined value, by using an operational control parameter-calculation equation specified by the coefficients and the constant calculated using the machine learning algorithm.