A control method and system with steel signal threshold matching and correction
By collecting and calculating the average values of the steel passing torque and the no-load torque on the rolling line, setting the optimal threshold for the rolling distance, and performing abnormal early warning and correction, the problem of abnormal steel signals during the steel rolling process was solved, realizing intelligent matching and control, and avoiding production disorder and accidents.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YANGCHUN NEW STEEL CO LTD
- Filing Date
- 2024-01-15
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies cannot achieve intelligent optimization and matching when steel signals are abnormal during the rolling process, which can lead to production disruptions and process accidents.
By collecting the average values of the rolling line's steel-passing torque and no-load torque, the optimal value of the steel-passing signal trigger torque is calculated, the optimal threshold for the rolling distance is set, abnormal warnings are issued, and torque threshold matching adjustments are made in a timely manner to correct any abnormalities in the rolling mill.
This achieves quantitative control of the steel signal, avoids interlock action delays and process accidents, and ensures the smooth progress of the rolling process.
Smart Images
Figure CN117655114B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of steel production, and more specifically, to a control method and system for steel signal threshold matching and correction. Background Technology
[0002] A crucial control element in the rolling process of a steel rolling mill is the presence of steel signal, which includes the rolling line torque and the no-load torque. This is because the presence of steel signal directly affects the normal operation of the entire rolling control system. If the presence of steel signal malfunctions during rolling, the entire control system will be unable to accurately quantify the position of the workpiece, and will be unable to perform relevant matching control of the workpiece and the rolling mill drive system. Therefore, the normal operation of the presence of steel signal during the rolling process is directly related to the smooth progress of the rolling process. However, existing technologies have significant flaws and shortcomings. When on-site equipment or process equipment malfunctions, the steel presence signal during rolling will also become abnormal. For example, when on-site equipment or process equipment malfunctions, the rolling current and no-load current will become abnormal, which in turn will lead to abnormal rolling torque and no-load torque, resulting in abnormal steel presence signals. Furthermore, the rolling distance matching in existing technologies is fixed. All of the above-mentioned shortcomings mean that once on-site equipment or process equipment malfunctions, the steel presence signal will become abnormal, leading to production disorder and interruption, and ultimately, process accidents. However, on-site equipment or process equipment malfunctions are unavoidable in normal rolling processes. Therefore, existing technologies cannot properly match the entire rolling process and cannot achieve intelligent optimization and intelligent matching in case of abnormalities, which will cause process accidents and steel accumulation during rolling. Summary of the Invention
[0003] The technical problem to be solved by the present invention is to provide a control method and system for steel signal threshold matching and correction to address the shortcomings of the existing technology, thereby solving the technical problem that abnormal steel signals can lead to production disruptions.
[0004] The present invention discloses a control method for steel signal threshold matching and correction, wherein the method is as follows:
[0005] The average values of the rolling mill's torque and the average unloaded torque were collected.
[0006] Obtain the optimal time interval, and calculate the optimal value of the trigger torque for the steel signal by taking the average value of the rolling line passing through the steel and the average value of the rolling line unloaded torque within the optimal time interval;
[0007] An optimal threshold for the rolling distance of the steel signal is set. If the optimal value of the trigger torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an abnormal warning is issued and the process proceeds to the next step; otherwise, the process is in a normal state.
[0008] When the mill issues an abnormal warning, it triggers torque threshold matching adjustment to promptly correct the rolling line overload torque and rolling line no-load torque in the steel signal.
[0009] As a further improvement, the average torque of the rolling mill is obtained by a torque sensor.
[0010] Furthermore, the expression for calculating the optimal value of the steel signal triggering torque is as follows:
[0011] ;
[0012] Where P is the optimal value of the trigger torque for the steel signal, and i is the number of time points within the time interval. The average value of the rolling mill torque obtained at the aforementioned time point. denoted as the average unloaded torque of the rolling mill obtained at the time point, b is the overload torque adjustment coefficient, a is the ejection torque adjustment coefficient, and e is the correction coefficient.
[0013] Furthermore, the abnormality warning refers to issuing an alarm signal when an abnormality occurs in the no-load torque.
[0014] Furthermore, the torque threshold matching adjustment specifically involves subtracting the optimal value of the trigger torque of the steel signal from the optimal threshold value of the rolling distance of the steel signal to obtain a deviation value, obtaining the deviation value and the target torque for the steel passing through the rolling line, and making the rolling line pass through the steel with the target torque for the steel passing through the rolling line, obtaining the difference between the deviation value and the no-load torque of the rolling line as the target torque for the no-load torque of the rolling line, and making the rolling line run no-load with the target torque for the no-load torque of the rolling line.
[0015] Furthermore, the method for setting the optimal time interval is as follows:
[0016] Set a mean deviation range and a collection time interval, and obtain the maximum and minimum torque values within each collection time interval;
[0017] If both the maximum and minimum torque values are within the deviation range, then the acquisition time interval is taken as the optimal time interval; if the maximum and minimum torque values of at least two acquisition time intervals simultaneously satisfy the deviation range, then the acquisition time interval with the smallest maximum and minimum torque values is taken as the optimal time interval.
[0018] A control system for steel signal threshold matching and correction, comprising,
[0019] The data acquisition module is used to obtain the average value of the rolling mill's passing torque and the average value of the rolling mill's unloaded torque;
[0020] The optimal torque calculation module obtains the optimal time interval, and calculates the optimal value of the trigger torque for the steel signal by taking the average value of the rolling line passing torque and the average value of the rolling line unloaded torque in the optimal time interval.
[0021] The steel signal anomaly identification module sets an optimal threshold for the rolling distance of the steel signal. If the optimal value of the trigger torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an anomaly warning is issued and the process proceeds to the next step; otherwise, it is in a normal state.
[0022] The steel signal correction module is used to trigger torque threshold matching adjustment when the mill issues an abnormal warning, and to correct the rolling line overload torque and rolling line no-load torque in the steel signal in a timely manner.
[0023] Beneficial effects
[0024] The advantages of this invention are:
[0025] 1. This invention achieves the collection of two average values by collecting the average value of the no-load torque of the rolling mill.
[0026] 2. This invention calculates the optimal value of the trigger torque for the steel-carrying signal by obtaining the average value of the steel-carrying torque and the average value of the no-load torque of the rolling line, thereby realizing quantitative control of the steel-carrying signal threshold matching for a specific section.
[0027] 3. This invention provides early warning of abnormal rolling mill torque and rolling mill no-load torque, thereby preventing related interlocking actions from being delayed and connection drives from stopping, and thus avoiding steel piling and process accidents.
[0028] 4. This invention achieves optimal control of matching and correcting the steel-carrying signal threshold of the rolling mill during the rolling process by timely correcting abnormal rolling line overload torque and rolling line no-load torque. Attached Figure Description
[0029] Figure 1 This is a flowchart of the control method for steel signal threshold matching and correction according to the present invention;
[0030] Figure 2 This is a framework diagram of the control system for steel signal threshold matching and correction according to the present invention. Detailed Implementation
[0031] The present invention will be further described below with reference to embodiments, but this does not constitute any limitation on the present invention. Any limited modifications made by any person within the scope of the claims of the present invention are still within the scope of the claims of the present invention.
[0032] See Figure 1-2 The present invention provides a control method for steel signal threshold matching and correction, the method being as follows:
[0033] The average values of the rolling mill's torque and the average unloaded torque were collected.
[0034] The average torque of the steel rolling line is obtained through torque sensors and related transmission lines, shielding systems, anti-weakening systems, and variable conversion control systems.
[0035] By combining the control of the current sensing system and the variable conversion control system, the average value of the torque passing through the rolling line can be collected; by dividing the entire acquisition system into sections for control, the average value of the no-load torque of the rolling line can be accurately quantified and collected.
[0036] Rolling line torque refers to the torque generated by the drive mill during the deformation rolling of the workpiece in the normal rolling process. Mean value acquisition refers to the quantitative control of the mean value through big data collection and algorithmic control. The current sensing system is a signal and information acquisition system composed of torque sensors, related transmission lines, shielding systems, and anti-weakness systems. "After the drive mill throws the workpiece" refers to a specific state in the rolling process where the workpiece leaves the stand. No-load torque refers to the actual torque data of the drive mill under no rolling load. Segmented control refers to dividing the normal rolling process into loaded operation and no-load operation, and then accurately identifying and quantitatively acquiring data from these two states.
[0037] Obtain the optimal time interval, and calculate the optimal value of the trigger torque for the rolling signal by taking the average value of the rolling line passing torque and the average value of the rolling line unloaded torque within the optimal time interval.
[0038] The expression for calculating the optimal value of the trigger torque for the steel signal is:
[0039] ;
[0040] Where p is the optimal value of the trigger torque for the steel signal, and i is the number of time points within the time interval. This represents the average torque across the rolling mill obtained at each time point. denoted as the average unloaded torque of the rolling mill obtained at a given time point, b is the overload torque adjustment coefficient, a is the throw torque adjustment coefficient, and e is the correction coefficient. In this embodiment, e is taken as 2.72.
[0041] When the number of time points i within the time interval is 2, the average rolling torque of the first time point is collected. The average rolling torque at the second time point was 5 N / m. The average unloaded torque of the rolling mill at the first time point was 6 N / m. The average unloaded torque of the rolling mill at the second time point was 7 N / m. When the torque is 8 N / m, the over-steel torque adjustment coefficient b is 1.5, and the over-steel throwing torque adjustment coefficient a is 1.6, the optimal value of the trigger torque p for the steel signal is approximately 5.7.
[0042] By matching big data averages and making dynamic corrections, the optimal threshold for the triggering torque of the steel signal was designed.
[0043] The optimal threshold for the rolling distance of the steel signal is set. If the optimal value of the trigger torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an abnormal warning is issued and the process proceeds to the next step; otherwise, the process is in a normal state.
[0044] An abnormality warning refers to issuing an alarm signal when an abnormality occurs in the no-load torque.
[0045] The optimal threshold for the rolling distance of the steel signal is set through dynamic fluctuation amplitude quantization and dynamic correction. The presence of steel signal refers to the state of the rolling mill, i.e., whether the workpiece has passed through. This state is a very important variable in the production process and is crucial for the control of the entire rolling process. The trigger torque threshold refers to the rising or falling edge of the torque used to control the generation or termination of the steel presence signal; it is one aspect of the steel presence signal threshold control. The rolling distance threshold is a workpiece position monitoring value designed based on the distance between the stands. Dynamic fluctuation refers to the dynamic fluctuation of the distance between the stands caused by dynamic speed fluctuations during normal rolling, and is designed to monitor the dynamic fluctuation of the workpiece position. Amplitude quantization refers to the quantitative standard extracted based on data acquisition and data conversion.
[0046] When an abnormal warning occurs in the rolling mill, the torque threshold matching adjustment is triggered to promptly correct the rolling line overload torque and rolling line no-load torque in the steel signal.
[0047] The torque threshold matching adjustment is specifically as follows: the difference between the optimal value of the trigger torque of the steel signal and the optimal threshold of the rolling distance of the steel signal is used to obtain the deviation value. The deviation value is then compared with the target torque for the steel passing through the rolling line, and the rolling line is made to pass through the steel at the target torque. The difference between the deviation value and the no-load torque of the rolling line is used as the target torque for the no-load operation of the rolling line, and the rolling line is made to run no-load at the target torque for the no-load operation of the rolling line.
[0048] The system includes an abnormal no-load torque early warning and intelligent threshold adjustment. Firstly, it designs an intelligent early warning system for abnormal no-load torque in the transmission rolling line under abnormal equipment and operating conditions. Timely warnings prevent delayed interlocking actions and drive stoppages, thus avoiding steel accumulation and process accidents. Then, the system uses a steel signal triggering an abnormal no-load torque to intelligently match and adjust the torque threshold, thereby preventing control disruptions in the entire rolling system.
[0049] Equipment malfunction refers to a failure in related electromechanical equipment or a decrease in equipment availability during normal rolling. Operating condition malfunction refers to deviations or deviations from standard ranges in process control elements during normal rolling. Intelligent early warning for abnormal no-load torque refers to the system's intelligent and visual early warning system when abnormal no-load torque occurs. Intelligent matching and adjustment of the torque threshold triggered by the steel signal refers to the system's intelligent identification and triggering of the abnormality control system when equipment or process malfunctions lead to abnormal no-load torque, intelligently matching and importing the threshold settings to avoid the impact of abnormal conditions on key production elements.
[0050] The optimal time interval is set as follows:
[0051] Set a mean deviation range and a data collection time interval, and obtain the maximum and minimum torque values within each data collection time interval;
[0052] If both the maximum and minimum torque values are within the deviation range, then the acquisition time interval is taken as the optimal time interval; if the maximum and minimum torque values of at least two acquisition time intervals simultaneously satisfy the deviation range, then the acquisition time interval with the smallest maximum and minimum torque values is taken as the optimal time interval.
[0053] A control system for steel signal threshold matching and correction, comprising,
[0054] The optimal torque calculation module obtains the optimal time interval, and calculates the optimal value of the trigger torque for the rolling signal by taking the average value of the rolling line passing through the steel and the average value of the rolling line unloaded torque within the optimal time interval.
[0055] The steel signal anomaly identification module sets an optimal threshold for the rolling distance of the steel signal. If the optimal value of the trigger torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an anomaly warning is issued and the process proceeds to the next step; otherwise, it remains in a normal state.
[0056] The steel signal correction module is used to trigger torque threshold matching adjustment when an abnormal warning occurs in the rolling mill, and to correct the rolling line overload torque and rolling line no-load torque in the steel signal in a timely manner.
[0057] This control system acquires two average values and performs quantitative control of the steel signal threshold matching for specific sections, avoiding lag in related interlocking actions and stoppage of the connecting drive. This helps to prevent steel piling and process accidents, achieving optimal control of the matching and correction of the steel signal threshold of the rolling mill during the rolling process.
[0058] The above description is only a preferred embodiment of the present invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention, and these will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.
Claims
1. A control method for steel signal threshold matching and correction, characterized in that, The method is as follows: The average values of the rolling mill's torque and the average unloaded torque were collected. Obtain the optimal time interval, and calculate the optimal value of the trigger torque for the steel signal by taking the average value of the rolling line passing through the steel and the average value of the rolling line unloaded torque within the optimal time interval; Set an optimal threshold for the rolling distance of the steel signal. If the optimal value of the trigger torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an abnormal warning is issued, and the process proceeds to the next step. Conversely, it is in a normal state; When an abnormal warning occurs in the rolling mill, the torque threshold matching adjustment is triggered to promptly correct the rolling line overload torque and rolling line no-load torque in the steel signal; The expression for calculating the optimal value of the trigger torque for the steel signal is: ； Where P is the optimal value of the trigger torque for the steel signal, and i is the number of time points within the optimal time interval. The average value of the rolling mill torque obtained at the aforementioned time point. The mean value of the no-load torque of the rolling line obtained at the time point is denoted as b, which is the adjustment coefficient for the steel passing torque, a is the adjustment coefficient for the steel throwing torque, and e is the correction coefficient. The torque threshold matching adjustment specifically involves subtracting the optimal value of the trigger torque of the steel signal from the optimal threshold value of the rolling distance of the steel signal to obtain a deviation value, obtaining the deviation value and the target torque for the steel passing through the rolling line, and making the rolling line pass through the steel with the target torque for the steel passing through the rolling line, obtaining the difference between the deviation value and the no-load torque of the rolling line as the target torque for the no-load torque of the rolling line, and making the rolling line run no-load with the target torque for the no-load torque of the rolling line. The method for setting the optimal time interval is as follows: Set a mean deviation range and a collection time interval, and obtain the maximum and minimum torque values within each collection time interval; If both the maximum and minimum torque values are within the deviation range, then the acquisition time interval is taken as the optimal time interval; if the maximum and minimum torque values of at least two acquisition time intervals simultaneously satisfy the deviation range, then the acquisition time interval with the smallest maximum and minimum torque values is taken as the optimal time interval.
2. The control method for steel signal threshold matching and correction according to claim 1, characterized in that, The average torque of the rolling mill is obtained by a torque sensor.
3. The control method for steel signal threshold matching and correction according to claim 1, characterized in that, The abnormality warning refers to issuing an alarm signal when an abnormality occurs in the no-load torque.
4. A system applying the control method for steel signal threshold matching and correction according to any one of claims 1-3, characterized in that, It includes, The data acquisition module is used to obtain the average value of the rolling mill's passing torque and the average value of the rolling mill's unloaded torque; The optimal torque calculation module obtains the optimal time interval, and calculates the optimal value of the trigger torque for the steel signal by taking the average value of the rolling line passing torque and the average value of the rolling line unloaded torque in the optimal time interval. The steel signal anomaly identification module sets an optimal threshold for the rolling distance of the steel signal. If the optimal value of the triggering torque of the steel signal is greater than the optimal threshold for the rolling distance of the steel signal, an anomaly warning is issued, and the process proceeds to the next step. Conversely, it is in a normal state; The steel signal correction module is used to trigger torque threshold matching adjustment when an abnormal warning occurs in the rolling mill, and to correct the rolling line overload torque and rolling line no-load torque in the steel signal in a timely manner.