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EP-4735965-A1 - METHOD FOR CONTROLLING AN INSTALLATION FOR ROLLING METAL STRIPS

EP4735965A1EP 4735965 A1EP4735965 A1EP 4735965A1EP-4735965-A1

Abstract

The invention relates to a method for controlling an installation for rolling metal strips with one or more rolling stands arranged in a rolling train for achieving a wear-optimized method of operation of the rolling stands, comprising reading and collecting and/or combining state variables of at least one rolling stand and/or of the metal strip from a control system for the process automation of the installation or directly from a field plane of the installation, wherein the state variables comprise physical measured values and/or values derived from measured values in the form of actual values of individual rollers of at least one rolling stand and/or of the metal strip during operation of the rolling train and/or predicted state variables of individual rollers of a rolling stand and/or of the metal strip from at least one process model of the process automation, comprising evaluation of the collected state variables in a rule-based manner or in the form of pattern recognition based on mass data, wherein the state variables are read, collected and/or combined and evaluated in a computer-implemented and automated manner, and the evaluation comprises the recognition of the current state of wear of individual rollers, the calculation of a service life prediction relating to individual rollers and at least one automatically created roller change prediction and/or adapted rolling programme scheduling based on the service life prediction.

Inventors

  • Raming, Philipp

Assignees

  • SMS Group GmbH

Dates

Publication Date
20260506
Application Date
20240624

Claims (13)

  1. 1. Method for controlling a plant for rolling metal strips with one or more rolling stands arranged in a rolling mill to achieve a wear-optimized mode of operation of the rolling stands, comprising reading out and collecting and/or summarizing process values, in particular in the form of state variables of at least one rolling stand and/or the metal strip from a control system for process automation of the plant or directly from a field level of the plant, wherein the process values comprise physical measured values and/or values derived from measured values in the form of actual values of individual rolls of at least one rolling stand and/or the metal strip during operation of the rolling mill and/or predicted state variables of individual rolls of a rolling stand and/or the metal strip from at least one process model of the process automation, comprising an evaluation of the collected state variables in a rule-based manner or in the form of mass data-based pattern recognition, wherein the reading out, collecting and/or summarizing and evaluation of the process values is carried out in a computer-implemented and automated manner and the evaluation includes the detection of the current wear state of individual rolls, the calculation a service life prediction concerning individual rolls and at least one automatically generated roll change forecast and/or adapted rolling program planning based on the service life prediction.
  2. 2. Method according to claim 1, characterized in that the roll change forecast includes both future and current events.
  3. 3. Method according to one of claims 1 or 2, characterized in that the process values are selected from a group of process values comprising roller identifiers and/or roller positions; identifiers of chocks and/or their position; installation position and/or position and/or type of rollers; identifiers and/or position of bearings; roller geometry; material and/or surface quality of the rollers; roller speed; rolling angle; roller rise; setting position of the rollers; roller lead; actual service life of the rollers; strip tension; rolling force; strip speed; strip temperature; mass flow of the strip; thickness of the strip, in each case before and/or after a rolling stand; bearing temperatures of the rollers; measured or calculated flatness values of the strip; pressure, temperature, volume flow and composition of the rolling emulsion.
  4. 4. Method according to one of claims 1 to 3, characterized in that the predicted process values are selected from a group of process values comprising the temperature of the rollers and/or a temperature profile of the rollers and/or the contour of the rollers resulting from the wear.
  5. 5. Method according to one of claims 1 to 4, characterized in that historical data of process disturbances of the rolling mill and/or data from the control system are read out, collected and evaluated, wherein these data are correlated with wear and repair data of rolls from a roll repair in order to recognize disturbance patterns.
  6. 6. Method according to one of claims 1 to 5, characterized in that the detection of disturbance patterns is carried out using machine learning methods
  7. 7. Method according to one of claims 1 to 6, characterized in that the evaluation of the process values in their development (trend) and/or absolute change is carried out as a function of rule-based limit values.
  8. 8. Method according to one of claims 1 to 7, comprising a roll change indication for an operator in a process control station and/or the initiation of a forced stop of the rolling mill without operator intervention when a roll wear condition that is critical for process stability is reached.
  9. 9. Method according to one of claims 1 to 8, characterized in that a feedback of values of the service life prediction and/or of current process values of the system is provided in the process automation of the rolling mill and the fed-back values are used as reference variables for calculating setting values in a level-2 automation of the system or are incorporated into the process automation in order to directly adapt the load and/or mass flow distribution in the rolling mill.
  10. 10. Method according to claim 9, characterized in that the fed-back values of the service life prediction are used as reference variables for the automatic control of the speed of the rolling mill and/or the roll rise of individual rolling stands and/or the load distribution between the individual rolling stands.
  11. 11. Method according to one of claims 1 to 10, characterized in that an automated repair and/or provision request is generated and transmitted to a roller workshop from the service life prediction and/or the roller change forecast.
  12. 12. Method according to one of claims 1 to 11, characterized in that current events and faults in the operation of the rolling mill are assessed and classified by artificial intelligence and automatically initiate operator interventions in the process automation and/or issue maintenance and/or repair requirements and/or instructions and/or recommendations.
  13. 13. Method according to one of claims 6, 11 or 12, characterized in that methods of machine learning or artificial intelligence comprise methods selected from a group comprising physical-mathematical models, neural networks, decision gates, if-then queries, self-learning algorithms, statistical models, status queries, adaptive models.

Description

Method for controlling a plant for rolling metal strips The invention relates to a method for controlling a plant for rolling metal strips with one or more rolling stands arranged in a rolling mill to achieve a wear-optimized operation of the rolling stands. The service life of rolls in rolling stands of rolling mills for the production of metal flat products is fundamentally critical for the operation of the rolling mill. From time to time, working rolls of rolling stands must be replaced, renewed or repaired. These are usually processed in a roll workshop, where the worn roll contour is returned to its original state by welding and turning or grinding. The reworking of the rolls in the roll workshop is normally carried out by CNC-controlled processing machines. Rolls are replaced from time to time after visual or measured assessment of the wear status of the rolls, which requires the rolling mill to be shut down temporarily. Therefore, for an optimized rolling process, the service life of the individual rolls is as long as possible in order to reduce the number of roll changes. Automated processes for detecting the state of wear of individual rollers are known from the state of the art in order to be able to initiate appropriate maintenance and repair measures. US 2002/0116980 A1, for example, discloses a method for inspecting a rolling stand, which comprises non-destructive monitoring of individual rolls of the rolling stand, in which the amplitude of a voltage signal is monitored and the change in the amplitude on i the wear condition of the individual roller is deduced. Based on the recorded signal, any defect in the roller or roll is classified by comparing it with stored patterns of voltage curves. The method includes calculating a maximum threshold value for the recorded voltage signal and determining a repair measure depending on a difference between the threshold value and the recorded voltage value. The method also includes recording historical data relating to the individual rollers, whereby the historical data and the wear indication of the roller in question are linked to a CNC control of the processing machines for restoring the roller. The linking of a roll workshop with data from the rolling mill for controlling machine tools in the roll workshop is also known, for example, from JP H08 10810 A. A method for controlling a rolling mill is known from JP 2001300609 A, which also provides for a computer-aided linking of the roll workshop's maintenance plan with the rolling program run on the rolling mill. The invention is based on the object of providing a coupling between a rolling mill and a roll maintenance system such that the operator is given a lead time for commissioning and decommissioning and/or for repairing rolls, which enables the rolling mill to be operated in a way that optimizes service life. Overall, the available rolling time and the process stability of the rolling mill are to be increased according to the invention. The object is achieved by providing a method with the features of claim 1. Advantageous embodiments of the invention emerge from the subclaims. One aspect of the invention relates to methods for controlling a plant for rolling metal strips with one or more rolling stands arranged in a rolling mill to achieve a wear-optimized operation of the rolling stands, - comprising the reading out and collecting and/or summarizing of process values, in particular in the form of state variables of at least one rolling stand and/or the metal strip from a control system for process automation of the system or directly from a field level of the system, wherein the process values comprise physical measured values and/or values derived from measured values in the form of actual values of individual rolls of at least one rolling stand and/or the metal strip during operation of the rolling mill and/or predicted state variables of individual rolls of a rolling stand and/or the metal strip from at least one process model of the process automation, comprising an evaluation of the collected process values in a rule-based manner or in the form of mass data-based pattern recognition, wherein the reading out, collecting and/or summarizing and evaluation of the process values is carried out in a computer-implemented and automated manner and the evaluation comprises the recognition of the current wear state of individual rolls, the calculation of a service life forecast relating to individual rolls and at least one automatically created roll change forecast based on the service life forecast and/or adapted rolling program planning. One aspect of the invention relates to the individual observation of the respective rolls of the rolling stands and the evaluation of the process values or state variables collected with regard to the rolls of the rolling stands in order to achieve maximum utilization of the rolls in question before a roll change, in order to be able to recognize process-critical