A rolling system, particularly a cold-rolling system for cold-rolling a metal strip (2): having at least one cold-rolling stand (1) an unwinding device (3) upstream of the cold-rolling stand (1), a unit (10) connected between the unwinding device (3) and the cold-rolling stand (1), including at least three rolls (6, 7, 8) each rotationally driven about a rotational axis (6A, 7A, 8A). Each roll (6, 7, 8) can be adjusted individually or together in the direction of the respective rotational axis (6A, 7A, 8A) and in a direction transverse to the rotational axis (6A, 7A, 8A) by a driving and adjusting device (11).

A method influences the geometry of a rolled item in a controlled manner. In the method, the rolled item is transformed from an initial condition into an intermediate or final condition by rolling with the aid of a rolling stand having at least one processing assembly. An improvement in the geometry of the rolled item, particularly during processing of asymmetric rolled items, is achieved in that the at least one processing assembly is operated in a force-controlled manner on the basis of a desired force.

There is provided a zigzagging control method for a workpiece including: an estimation step of, before rolling of a tail portion of the workpiece, acquiring at least any one of an inter-roll thrust force estimated based on an inter-roll cross angle and an inter-roll friction coefficient and a material-roll thrust force estimated based on a material-roll cross angle and a material-roll friction coefficient; and a tail control step of, during the rolling of the tail portion of the workpiece, measuring work-side and drive-side rolling loads, correcting a rolling load difference or a rolling load difference ratio based on any two of acquired parameters including a roll-axis-direction thrust counterforce at the measurement of the rolling loads, the inter-roll thrust force, and the material-roll thrust force, and performing reduction leveling control on a rolling mill based on the corrected rolling load difference or rolling load difference ratio.

There is provided a zigzagging control method for a workpiece including: an estimation step of, before rolling of a tail portion of the workpiece, acquiring at least any one of an inter-roll thrust force estimated based on an inter-roll cross angle and an inter-roll friction coefficient and a material-roll thrust force estimated based on a material-roll cross angle and a material-roll friction coefficient; and a tail control step of, during the rolling of the tail portion of the workpiece, measuring work-side and drive-side rolling loads, correcting a rolling load difference or a rolling load difference ratio based on any two of acquired parameters including a roll-axis-direction thrust counterforce at the measurement of the rolling loads, the inter-roll thrust force, and the material-roll thrust force, and performing reduction leveling control on a rolling mill based on the corrected rolling load difference or rolling load difference ratio.

A calibration determination device includes: a free roll that conveys the bonding member; a load detection device that detects a load applied to a bearing of the free roll; a tension adjustment device that winds the bonding member to increase a tension applied to the bonding member and unwinds the bonding member to reduce the tension applied to the bonding member so as to adjust the tension applied to the bonding member; and a calibration determination unit that determines whether calibration of the load detection device is necessary. The tension adjustment device unwinds the bonding member to cause the bonding member not to be subjected to the tension, and the calibration determination unit determines whether the calibration of the load detection device is necessary based on the load detected by the load detection device with the bonding member not being subjected to the tension.

A calibration determination device includes: a free roll that conveys the bonding member; a load detection device that detects a load applied to a bearing of the free roll; a tension adjustment device that winds the bonding member to increase a tension applied to the bonding member and unwinds the bonding member to reduce the tension applied to the bonding member so as to adjust the tension applied to the bonding member; and a calibration determination unit that determines whether calibration of the load detection device is necessary. The tension adjustment device unwinds the bonding member to cause the bonding member not to be subjected to the tension, and the calibration determination unit determines whether the calibration of the load detection device is necessary based on the load detected by the load detection device with the bonding member not being subjected to the tension.

The present invention discloses a control method of hot mill coiler side guides based on spark recognition, where the side guides are adjusted according to the width of sparks from the friction between the hot rolled strip (20) and the side guides (11). An industrial camera (9) is provided obliquely above the side guides (11), and a detection system implements a real-time analysis on the images taken by the industrial camera and determines the magnitude of sparks generated on either side of the side guides according to the spark width. For each unilateral side guide, it is adjusted according to the spark width M.sub.S corresponding to that side guide (11). For said unilateral side guide (11), the deviation of the single-side spark width ΔM.sub.S is obtained according to ΔM.sub.S=M.sub.S−M.sub.aim. The position adjustment magnitude ΔW.sub.S of the unilateral side guide (11) can be obtained according to formula (I). And the pressure adjustment magnitude ΔP.sub.S of the unilateral side guide (11) can be obtained according to formula (II). This method allows the hot rolled strip (20) always in the relative center of the steel coil, reduces the wear of the side guides (11), avoids various defects of the steel coil, and makes the steel coil in good shape.

The present invention discloses a control method of hot mill coiler side guides based on spark recognition, where the side guides are adjusted according to the width of sparks from the friction between the hot rolled strip (20) and the side guides (11). An industrial camera (9) is provided obliquely above the side guides (11), and a detection system implements a real-time analysis on the images taken by the industrial camera and determines the magnitude of sparks generated on either side of the side guides according to the spark width. For each unilateral side guide, it is adjusted according to the spark width M.sub.S corresponding to that side guide (11). For said unilateral side guide (11), the deviation of the single-side spark width ΔM.sub.S is obtained according to ΔM.sub.S=M.sub.S−M.sub.aim. The position adjustment magnitude ΔW.sub.S of the unilateral side guide (11) can be obtained according to formula (I). And the pressure adjustment magnitude ΔP.sub.S of the unilateral side guide (11) can be obtained according to formula (II). This method allows the hot rolled strip (20) always in the relative center of the steel coil, reduces the wear of the side guides (11), avoids various defects of the steel coil, and makes the steel coil in good shape.

The prediction system of strip chew collects and stores first data and second data as adaptive model construction data. The first data indicates the occurrence or non-occurrence of the strip chew in an object rolling path and the occurrence point of the strip chew. The second data includes information on a preceding rolling path and attribute information on an object strip. The system constructs an adaptive model using the stored adaptive model construction data, and stores the constructed adaptive model as an adapted model. The system collects prediction data similar to the second data. Then, the system inputs the prediction data to the adapted model to predict the occurrence or non-occurrence of the strip chew in the object rolling path and all or some of the occurrence points of the strip chew before the prediction object strip reaches the object rolling path.

The prediction system of strip chew collects and stores first data and second data as adaptive model construction data. The first data indicates the occurrence or non-occurrence of the strip chew in an object rolling path and the occurrence point of the strip chew. The second data includes information on a preceding rolling path and attribute information on an object strip. The system constructs an adaptive model using the stored adaptive model construction data, and stores the constructed adaptive model as an adapted model. The system collects prediction data similar to the second data. Then, the system inputs the prediction data to the adapted model to predict the occurrence or non-occurrence of the strip chew in the object rolling path and all or some of the occurrence points of the strip chew before the prediction object strip reaches the object rolling path.