Monitoring and control device for the automated optimization of the grinding line of a roller system and corresponding method

A system, comprising:

• a grinding system including:
• control circuitry including data receiving circuitry;
• at least one roller pair, wherein the at least one roller pair includes two rollers for processing a product, at least one of the rollers including a plurality of sensors for detecting measurement values indicating a state of the at least one of the rollers, each of the rollers including a rotational axis;
• a measuring device in a receiving opening of a roller body of the at least one of the rollers of the at least one roller pair for processing the product, the measuring device including at least one of the plurality of sensors for detecting the measurement values indicating a state of the at least one of the rollers, the measurement values from the at least one of the rollers of the at least one roller pair being received from data transmitting circuitry of the measuring device using the data receiving circuitry of the control circuitry, wherein:
• the control circuitry is configured to identify at least one of a type of the at least one of the rollers and identification of the at least one of the rollers based on electronically stored data of an identifier,
• the plurality of sensors, connected to the control circuitry, including two or more temperature sensors disposed along the rotational axis of the at least one of the rollers for ascertaining at least one of a temperature profile and a temperature gradient of the at least one of the rollers,
• the plurality of sensors further include at least one of a vibration sensor and an accelerometer for monitoring at least one of a rotational speed and an acceleration/deceleration of the at least one of the rollers, and
• the control circuitry includes machine learning circuitry configured to generate and predict at least one of a remaining service life of the at least one of the rollers, wear parameters of the at least one of the rollers, an operating parameter of the at least one of the rollers, a roller operation and a width of gap between the two rollers of the at least one roller pair, and a parallelism of the two rollers which are optimizable in an automated manner by at least one of the control circuitry and closed-loop control circuitry connected to the control circuitry based on the measurement values which have been received by way of the machine learning circuitry.