Method for diagnosing rigidity deterioration of hot mill and related equipment
By obtaining the actual rolling force and full life cycle data of the hot rolling mill indenter in real time, combined with machine learning algorithms, the shortcomings of the hot rolling mill stiffness degradation detection in the existing technology are solved, efficient and accurate diagnosis and maintenance are achieved, and equipment service life is extended and maintenance costs are reduced.
Patent Information
- Application Number
- CN202510189190.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-20
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-02-20
AI Technical Summary
The existing hot rolling mill stiffness deterioration detection methods lack real-time monitoring and accurate diagnosis, resulting in a shortened service life of the equipment and an increase in maintenance costs.
By obtaining the actual rolling force of the hot rolling mill head, comparing the error with the static calibration value, combining the full life cycle data and machine learning algorithms, the rolling status is monitored and analyzed in real time, identifying the stiffness deterioration trend, and optimizing the maintenance plan.
It realizes rapid and accurate diagnosis of the stiffness deterioration of hot rolling mills, reduces maintenance time and cost, and improves equipment operation stability and production efficiency.
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Figure CN119972813A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of hot rolling mills, and in particular to a method for diagnosing hot rolling mill stiffness degradation and related equipment. Background Art
[0002] Hot rolling mill is an important equipment in steel production. Its main function is to roll the raw steel billet into shape. With long-term operation, the rigidity of the hot rolling mill's ram, hydraulic system, rolling mill arch and other components may deteriorate.
[0003] Traditional hot rolling mill stiffness degradation detection methods mostly rely on regular maintenance, manual inspection or simple visual inspection, and lack real-time monitoring and analysis of equipment performance. These methods not only have the limitations of detection lag and manual intervention, but also cannot accurately determine the cause of degradation, resulting in the service life of the equipment cannot be fully extended and the maintenance cost continues to increase. Therefore, a hot rolling mill stiffness degradation diagnosis method is urgently needed to solve the above problems in the prior art. Summary of the invention
[0004] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description of the Invention section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.
[0005] In a first aspect, the present application provides a method for diagnosing hot rolling mill stiffness degradation, comprising:
[0006] Obtain the actual rolling force of the hot rolling mill head;
[0007] Determine the performance of the hot rolling mill head based on the actual rolling force;
[0008] Based on the performance situation, the diagnosis result of the hot rolling mill stiffness degradation is obtained.
[0009] In some embodiments, determining the performance of the hot rolling mill head based on the actual rolling force includes:
[0010] Compare the actual rolling force with the static calibration value of the hot rolling mill ram;
[0011] comparing the actual rolling force with a static calibration value of the hot rolling mill ram;
[0012] When the error between the static calibration value and the actual rolling force is greater than or equal to a preset value, the performance of the hot rolling mill pressure head is judged to be unstable, wherein the preset value is determined based on the model of the hot rolling mill pressure head.
[0013] In some embodiments, based on the performance conditions, a hot rolling mill stiffness degradation diagnosis result is obtained, including:
[0014] In the case where the performance condition is unstable and the hot rolling mill head has an unstable rolling state on different hot rolling mills, determining that the hot rolling mill stiffness degradation is caused by the hot rolling mill head; or,
[0015] When the performance condition is unstable and the rolling state is unstable on different hot rolling mill heads on the same hot rolling mill, it is determined that the deterioration of the hot rolling mill stiffness is caused by other components of the hot rolling mill, including hydraulic cylinders, rolling mill arches and bearing seats.
[0016] In some embodiments, it further comprises:
[0017] Based on sensor data, the rolling status of the hot rolling mill head is monitored in real time;
[0018] Based on the rolling status, the stiffness degradation trend during hot rolling mill operation is identified.
[0019] In some embodiments, it further comprises:
[0020] Collect the full life cycle data of the hot rolling mill ram, including warehousing information, quality inspection information, outbound information, machine use information, rolling status information, machine removal reason information and return to the factory for repair information;
[0021] Based on the full life cycle data, a full life cycle history file of the hot rolling mill ram is generated for easy tracking and management, in which the hot rolling mill ram is assigned a unique code.
[0022] In some embodiments, it further comprises:
[0023] Based on big data analysis and machine learning algorithms, data mining is performed on the entire life cycle data to identify the patterns in historical data and predict the stable trend of the indenter performance;
[0024] Optimize maintenance plans and equipment management strategies based on prediction results.
[0025] In some embodiments, it further comprises:
[0026] When the performance of the hot rolling mill pressure head is unstable, the hot rolling mill pressure head will be blacklisted, prohibited from being used on the hot rolling mill again, and will be scrapped.
[0027] In a second aspect, the present application proposes a hot rolling mill stiffness degradation diagnosis device, comprising:
[0028] A rolling force acquisition unit, used to acquire the actual rolling force of the hot rolling mill ram;
[0029] A performance condition identification unit, which determines the performance condition of the hot rolling mill head based on the actual rolling force;
[0030] The diagnosis result analysis unit obtains the diagnosis result of the hot rolling mill stiffness degradation based on the performance situation.
[0031] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the method for diagnosing the stiffness degradation of a hot rolling mill of any one of the first aspects when executing the computer program stored in the memory.
[0032] In a fourth aspect, the present application further proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for diagnosing the hot rolling mill stiffness degradation according to any one of the first aspects.
[0033] In summary, this application can accurately determine the performance of the hot rolling mill pressure head by acquiring the actual rolling force of the pressure head in real time, and analyzing the performance stability of the pressure head in combination with the static calibration value, and then quickly diagnose the cause of the deterioration of the rolling mill stiffness, effectively reduce the amount of trial and error in finding problems, and greatly shorten the maintenance time. Through comprehensive data analysis, the degradation trend of the pressure head can be identified in real time, and a basis can be provided for maintenance and equipment management, thereby significantly improving the operating stability of the equipment, reducing the occurrence of failures, and optimizing maintenance strategies. Combining full life cycle data and machine learning technology, the present invention can also conduct in-depth mining of historical data, predict future performance changes, take measures in advance, and avoid production downtime and quality problems caused by equipment performance degradation, and has high economic value and application prospects. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0035] Figure 1 A schematic flow chart of a method for diagnosing stiffness degradation of a hot rolling mill provided in an embodiment of the present application;
[0036] Figure 2 A first schematic diagram of the process performance of a hot rolling mill press head provided in an embodiment of the present application;
[0037] Figure 3 A second schematic diagram of the process performance of a hot rolling mill press head provided in an embodiment of the present application;
[0038] Figure 4 A schematic diagram of the entire life cycle of a hot rolling mill ram provided in an embodiment of the present application;
[0039] Figure 5 A schematic diagram of the structure of a hot rolling mill stiffness degradation diagnosis device provided in an embodiment of the present application;
[0040] Figure 6 A schematic diagram of the structure of a hot rolling mill stiffness degradation diagnostic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0041] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.
[0042] See also Figure 1 , is a schematic flow chart of a method for diagnosing the deterioration of the stiffness of a hot rolling mill provided in an embodiment of the present application, which may specifically include:
[0043] S110, obtaining the actual rolling force of the hot rolling mill pressure head;
[0044] For example, during the operation of a hot rolling mill, obtaining the actual rolling force of the pressure head is an important basis for evaluating the operating status of the mill. The rolling force is the force exerted by the steel strip on the rollers during the rolling process, and its size and changes reflect the stress conditions inside the mill. Since the hot rolling process involves a high-temperature, high-speed metal deformation process, factors such as uneven material quality of the steel strip, thickness changes, and fluctuations in rolling speed will cause dynamic changes in the rolling force. For example, when the hardness of the steel strip varies in different parts, the pressure on the rollers will change accordingly during the rolling process, and this change will be directly transmitted to the pressure head, causing the actual rolling force on the pressure head to be in a constantly changing state.
[0045] In addition, the balance of the actual rolling force of the pressure heads on both sides of the rolling mill is crucial to the stability of the rolling process. Once the actual rolling force deviation of the pressure heads on both sides is too large, it will cause uneven force on the rolling mill, which will lead to serious problems such as strip deviation or even scrapping. For example, if the actual rolling force measured by the pressure head on one side is much higher than that on the other side, the control system will adjust according to the erroneous rolling force data, causing the roller to deviate from the normal trajectory during the rolling process. Therefore, accurately obtaining the actual rolling force of the pressure heads on both sides and conducting comparative analysis is also one of the key links to ensure the normal operation of the rolling mill.
[0046] S120, determining the performance of the hot rolling mill head based on the actual rolling force;
[0047] For example, when determining the performance of the hot rolling mill ram, the key is to accurately compare the actual rolling force with the static calibration value of the ram. When the error between the actual rolling force and the static calibration value is greater than or equal to the preset value determined based on the ram model, it can be determined that the ram performance is unstable. This is because in a dynamic rolling environment, the performance stability of the strain gauges and wiring inside the ram faces challenges, and it may not be able to accurately convert the changes in rolling force into accurate measurement signals; at the same time, the steel shell of the ram, as a key component for pressure transmission, may change its elastic properties during long-term stress, thereby affecting the accuracy of pressure transmission, and ultimately resulting in a large deviation between the measured rolling force and the actual value.
[0048] In some cases, the gain slope of the control program can be adjusted on site to keep the mill running in the short term, but this cannot cover up the possible defects in the head performance. For example, in a scenario where the actual rolling force deviation of the heads on both sides of the mill is large, the measured value of the head on one side deviates significantly from the actual value, which will cause the control system to receive incorrect feedback information, thereby causing an incorrect adjustment of the roll pressure, seriously affecting the rolling quality of the strip and the operating stability of the mill. Therefore, continuous and accurate monitoring of the actual rolling force and comparative analysis with the static calibration value are critical to accurately determine the cause of the mill stiffness degradation.
[0049] S130. Based on the performance conditions, a diagnosis result of the hot rolling mill stiffness degradation is obtained.
[0050] For example, when it is determined that the performance of the hot rolling mill pressure head is unstable, it is necessary to further investigate its performance on different hot rolling mills. If the pressure head causes the deterioration of the rolling mill stiffness and unstable rolling state on multiple different hot rolling mills, then it can be basically determined that there is a serious problem with the pressure head itself. This is because if only the local operating conditions of a certain rolling mill are abnormal, the pressure head will not have similar faults on different rolling mills. In this case, the pressure head may have defects in manufacturing process, material durability, etc. Even after repair and static calibration, the rolling force cannot be accurately measured during the actual dynamic rolling process, resulting in the loss of control of the rolling mill stiffness. It must be replaced and blacklisted to prevent it from being used again.
[0051] On the contrary, if the rolling instability occurs on the same rolling mill regardless of which pressure head is replaced, it means that the problem is not with the pressure head, but with other parts of the hot rolling mill. For example, the hydraulic cylinder may have seal failure and internal parts wear, resulting in unstable pressure output; the window surface of the rolling mill arch is worn or corroded, which changes the support conditions of the rolls and affects the rigidity of the entire rolling mill; the wear of the bearing seat will make the rolls rotate unsmoothly and cause rolling force fluctuations. The failure of these components will interfere with the normal operation of the rolling mill and deteriorate the rigidity of the rolling mill. At this time, these components need to be fully inspected, repaired or replaced to restore the normal performance of the rolling mill.
[0052] Finally, by accurately judging the performance of the press head and conducting in-depth analysis of different situations, the root cause of the hot rolling mill stiffness degradation can be quickly and accurately determined. This not only greatly reduces the time and labor costs of traditional component-by-component troubleshooting and improves maintenance efficiency, but also effectively avoids product quality degradation and production losses caused by long-term shutdown and maintenance errors, ensures the stable operation of the hot rolling mill, and improves the economic benefits and product quality of steel production.
[0053] In some examples, based on the actual rolling force, the performance of the hot rolling mill head is determined, including:
[0054] Compare the actual rolling force with the static calibration value of the hot rolling mill ram;
[0055] comparing the actual rolling force with a static calibration value of the hot rolling mill ram;
[0056] When the error between the static calibration value and the actual rolling force is greater than or equal to a preset value, the performance of the hot rolling mill pressure head is judged to be unstable, wherein the preset value is determined based on the model of the hot rolling mill pressure head.
[0057] For example, during the operation of a hot rolling mill, accurately judging the performance of the pressure head is crucial to evaluating the degradation of the mill's stiffness. When the error between the static calibration value and the actual rolling force is greater than or equal to the preset value determined based on the model, the pressure head performance is determined to be unstable. This is because under actual working conditions, the strain gauges and wiring inside the pressure head need to cope with complex dynamic rolling force changes. If the sensitivity of the strain gauge changes due to long-term use or dynamic impact, or if the wiring becomes loose or aged, the actual rolling force measured will deviate from the true value and exceed the preset error range, thereby affecting the precise control of the rolling process and causing the risk of mill stiffness degradation.
[0058] From the perspective of the pressure head structure, the elastic properties of its steel shell may gradually change during the long-term bearing of rolling force. For example, the accumulation of small plastic deformations caused by repeated force causes the elastic modulus of the shell to change, which in turn affects the accuracy of pressure transmission. In this case, even if the performance is normal at a specific point of static calibration, the measured rolling force may deviate greatly from the static calibration value at other load points of actual dynamic rolling, resulting in unstable pressure head performance, which ultimately affects the overall stiffness and rolling quality of the hot rolling mill. Therefore, this comparative judgment method is of great significance for timely discovering potential problems of the pressure head and ensuring the stable operation of the rolling mill.
[0059] In some examples, based on the performance conditions, hot rolling mill stiffness degradation diagnosis results are obtained, including:
[0060] In the case where the performance condition is unstable and the hot rolling mill head has an unstable rolling state on different hot rolling mills, determining that the hot rolling mill stiffness degradation is caused by the hot rolling mill head; or,
[0061] When the performance condition is unstable and the rolling state is unstable on different hot rolling mill heads on the same hot rolling mill, it is determined that the deterioration of the hot rolling mill stiffness is caused by other components of the hot rolling mill, including hydraulic cylinders, rolling mill arches and bearing seats.
[0062] For example, during the operation of a hot rolling mill, accurately determining the cause of stiffness degradation is the key to ensuring production. When the performance of the pressure head is unstable and causes unstable rolling states on different hot rolling mills, it can be determined that the pressure head causes stiffness degradation. Because the working environment and working conditions of different hot rolling mills are different, if the same pressure head has problems on multiple devices, it means that the pressure head itself has serious defects. For example, there may be defects in the manufacturing process of the pressure head, which makes it impossible for the internal sensor or elastic element to maintain stable performance under long-term use or different rolling forces, thereby continuously outputting erroneous rolling force measurement values, misleading the rolling mill control system, and ultimately causing the rolling mill stiffness to deteriorate, affecting product quality and production efficiency.
[0063] However, when unstable performance occurs and different pressure heads produce unstable rolling conditions on the same hot rolling mill, the source of the problem should be focused on other components of the hot rolling mill. For example, if there is a problem with the piston seal inside the hydraulic cylinder, it will cause hydraulic oil leakage, which will make the pressure transmission of the hydraulic cylinder unstable. No matter which pressure head is replaced, the abnormal rolling state of the mill cannot be changed. Similarly, if the mill arch is subjected to the impact and corrosion of rolling force for a long time, the flatness and dimensional accuracy of its window will change, changing the support conditions of the rolls and affecting the stiffness of the entire mill. The wear of the bearing seat will also cause the rotation center of the roll to shift, causing uneven distribution of rolling force. Failures of these components will change the stiffness characteristics of the mill and cause rolling instability, so these components need to be inspected and repaired in detail.
[0064] like Figure 2 and Figure 3 As shown, Figure 2 and Figure 3 All of them are schematic diagrams of the process performance of the hot rolling mill ram, showing the rolling status of the SGQG-RZ-C0455450-0005 ram at different process positions. The ram only has unstable rolling at the F4 position, while it is in good condition at the F1, F5 and other positions. This shows that the performance of the ram itself may not be a big problem, and the problem is likely to be with the components of the F4 rolling mill's press-down system. These components may have been worn and corroded due to long-term use, affecting the normal operation of the mill. Based on this, arranging equipment personnel to inspect, repair or replace the rolling arch and other components of the F4 rolling mill can accurately solve the problem, quickly restore the performance of the rolling mill, and ensure the smoothness of the production process.
[0065] Figure 3 The rolling status of the F5 mill when different pressure heads are installed is presented. By comparison, it is found that the F5 mill is unstable only when the SGQG-RZ-C045450-0007 pressure head is used, and it is stable when other pressure heads are used. It can be determined that the SGQG-RZ-C045450-0007 pressure head has deteriorated, causing the performance of the mill to be affected. In response to this situation, timely arranging equipment personnel to replace the pressure head can effectively restore the stiffness performance of the F5 mill, ensure the stable operation of the mill, and avoid product quality problems and reduced production efficiency caused by the instability of the mill, which reflects the importance of accurate diagnosis and timely treatment in equipment maintenance.
[0066] In summary, through comprehensive analysis of the performance of the pressure head and its performance on different rolling mills, the real cause of the hot rolling mill stiffness degradation can be accurately determined, thereby avoiding blind maintenance, improving maintenance efficiency, reducing equipment downtime, ensuring the stable operation of the hot rolling mill and the smooth progress of steel production, and saving the enterprise a lot of manpower, material and time costs.
[0067] In some examples, it also includes:
[0068] Based on sensor data, the rolling status of the hot rolling mill head is monitored in real time;
[0069] Based on the rolling status, the stiffness degradation trend during hot rolling mill operation is identified.
[0070] For example, in the production process of a hot rolling mill, the rolling state of the ram is crucial to the rolling quality and the operating stability of the unit. In order to monitor the rolling state of the ram in real time, a variety of sensors, such as force sensors, temperature sensors, and displacement sensors, can be used to collect data related to the rolling process. These data are monitored in real time through an advanced data acquisition system and fed back to the central control system. The sensor data can reflect the changes in the force on the ram, the fluctuations in temperature, and the changes in displacement. This information is the key parameter for evaluating the working state of the ram of the hot rolling mill. By analyzing these real-time data, potential abnormalities such as ram surface wear, overload, or insufficient heating can be discovered in a timely manner during the production process, thereby effectively improving the reliability and production efficiency of the rolling process.
[0071] After monitoring the rolling state of the hot rolling mill ram, it is necessary to further identify and predict the ram stiffness degradation trend. The degradation of the ram stiffness is usually manifested as changes in rolling force, increased ram deformation, and other phenomena. As the ram performance declines, the ram's ability to transmit rolling force during the rolling process gradually decreases, which will eventually affect the stability of the entire rolling process. Based on the data collected by the sensor, a mathematical model can be established to detect the degradation trend of the ram stiffness through a comprehensive analysis of multiple parameters such as rolling force, ram deformation, and temperature. For example, the change in stiffness can be determined by comparing the deviation between the actual rolling force and the theoretically predicted rolling force. If it is found that this deviation is gradually increasing, it may be a signal that the ram stiffness has decreased.
[0072] Based on real-time monitoring of rolling status and identification of stiffness degradation trends, accurate diagnosis and prediction of the hot rolling mill head status can be achieved. This method can not only detect abnormal changes in the head in a timely manner, but also predict stiffness degradation in advance, avoiding head damage or production interruption caused by stiffness loss during production. In addition, by accumulating standardized test data for different types of heads, the maintenance and maintenance plan of the rolling mill can be further optimized, the reliability and production efficiency of the production line can be improved, thereby reducing maintenance costs in long-term operation and improving the economy and service life of the hot rolling mill.
[0073] In some examples, it also includes:
[0074] Collect the full life cycle data of the hot rolling mill ram, including warehousing information, quality inspection information, outbound information, machine use information, rolling status information, machine removal reason information and return to the factory for repair information;
[0075] Based on the full life cycle data, a full life cycle history file of the hot rolling mill ram is generated for easy tracking and management, in which the hot rolling mill ram is assigned a unique code.
[0076] For example, Figure 4 As shown in the figure, a schematic diagram of the whole life cycle of the hot rolling mill ram is shown. Collecting the whole life cycle data of the hot rolling mill ram is a systematic work, covering information from the ram storage to the return to the factory for repair. The storage information records the initial state and basic properties of the ram, such as model, specification, supplier, etc. The quality inspection information reflects the quality status of the ram before it is put into use, ensuring that it meets the production requirements, which is an important basis for ensuring the reliability of subsequent use. The outbound information clarifies when the ram enters the production line, which is closely related to the production plan and equipment deployment. The machine use information includes various parameters and performances of the ram in actual production, such as working hours, rolled strip specifications, etc. These data directly reflect the operation of the ram under actual working conditions. The rolling status information involves real-time data such as rolling force and displacement borne by the ram, which is the key to analyzing the ram performance and mill status. The machine reason information reveals the reason why the ram is out of production, which may be normal replacement, fault repair or reaching the service life, etc., providing important clues for subsequent management and maintenance. The factory repair information records the repair process and results of the indenter after a problem occurs, which helps to evaluate the repair effect and the remaining life of the indenter.
[0077] Based on the collected full life cycle data, it is of great significance to generate a full life cycle resume file of the hot rolling mill press. The resume file is like a "growth record book" of the press, integrating the data of each stage to form a complete information chain for easy tracking and management. In order to ensure the uniqueness and traceability of the resume file of each press, assigning a unique code to the hot rolling mill press is a key step. This unique code is like the "ID number" of the press, which runs through the entire life cycle of the press. Whether it is in the warehouse, out of the warehouse, on the machine, off the machine or returned to the factory for repair, this code can be quickly and accurately associated with the corresponding resume file to obtain detailed information about the press. This method of code allocation and resume file generation makes the management of presses more standardized and information-based, improves management efficiency and accuracy, and avoids information confusion and omissions.
[0078] There are many advantages and practical application value in collecting data throughout the life cycle and generating history files for management. First, it helps to achieve refined management. Managers can accurately grasp the performance status and historical usage of each pressure head based on the detailed information in the history files, so as to formulate more reasonable maintenance plans and replacement cycles, avoid excessive or insufficient maintenance, and reduce maintenance costs. Secondly, in terms of troubleshooting and diagnosis, the history files provide rich historical data and background information. When a problem occurs, the historical records of the relevant pressure heads can be quickly consulted to analyze the possible causes, improve the efficiency and accuracy of fault diagnosis, and shorten downtime.
[0079] In some examples, it also includes:
[0080] Based on big data analysis and machine learning algorithms, data mining is performed on the entire life cycle data to identify the patterns in historical data and predict the stable trend of the indenter performance;
[0081] Optimize maintenance plans and equipment management strategies based on prediction results.
[0082] For example, based on big data analysis and machine learning algorithms, in-depth mining of the full life cycle data of the hot rolling mill punch can effectively identify potential patterns and trends in historical data. By collecting the full life cycle data of the punch, including usage status, maintenance records, mechanical properties data during rolling, etc., data mining technology can be used to reveal the performance change patterns of the punch under different working conditions. For example, through cluster analysis of historical data, it is possible to identify the trend of punch wear under different working environments or conditions, or discover the performance attenuation pattern of the punch under specific conditions. Machine learning algorithms, especially supervised learning and time series analysis methods, can further analyze these patterns and construct a predictive model for changes in punch performance, thereby providing a scientific basis for equipment status assessment and future maintenance decisions.
[0083] Based on the prediction results of historical data, the performance stability trend of the hot rolling mill head can be accurately predicted. Through the output of the prediction model, managers can foresee the performance degradation or failure risk of the head in advance. For example, if the prediction results show that the performance of a certain head will drop sharply in the short term, managers can take targeted measures in advance, such as adjusting production plans, increasing maintenance frequency or preparing spare parts. This predictive management method can greatly reduce the probability of sudden failures, reduce equipment downtime, optimize resource allocation, and ensure the continuity and stability of production. At the same time, the prediction results can also be used as a reference for evaluating the replacement or scrapping of the head, thereby extending the service life of the equipment.
[0084] Based on the prediction of the stable performance trend of the pressure head, the maintenance plan and equipment management strategy are optimized. Through accurate performance prediction, maintenance personnel can formulate more accurate maintenance plans based on the actual operating status of the pressure head, rather than relying on traditional scheduled maintenance or empirical judgment. This maintenance plan based on data and prediction results can perform repairs or replace parts at the most appropriate time, avoid premature or late maintenance operations, reduce maintenance costs and improve equipment utilization. At the same time, equipment management strategies can also be dynamically adjusted in this way. For example, if the prediction model shows that the failure rate of a certain type of pressure head is high, you can consider increasing the inventory of this type of equipment or arranging spare pressure heads in advance to ensure that the production process is not affected. The comprehensive use of data analysis and machine learning prediction results will help improve the intelligence and accuracy of equipment management, and ultimately achieve efficient and low-cost management of the production process.
[0085] In some examples, it also includes:
[0086] When the performance of the hot rolling mill pressure head is unstable, the hot rolling mill pressure head will be blacklisted, prohibited from being used on the hot rolling mill again, and will be scrapped.
[0087] For example, during the operation of a hot rolling mill, when the performance of the pressure head is judged to be unstable, it means that the rolling force data measured by it deviates greatly from the actual situation. This deviation may be caused by various problems inside the pressure head, such as aging or damage of the strain gauge, which makes it no longer accurate in sensing pressure changes; loose or short-circuited wiring will interfere with the transmission of electrical signals, resulting in distorted measurements; deformation of the steel shell or change in elastic modulus affects the uniformity and accuracy of pressure transmission. These problems will cause the mill control system to receive erroneous rolling force feedback, which will in turn affect the key links such as the adjustment of the mill's reduction amount and the thickness control of the strip, resulting in a decline in the quality of the strip, uneven thickness, surface defects, and other problems, which seriously affect production efficiency and product quality. Therefore, measures must be taken for unstable pressure heads.
[0088] Blacklisting unstable indenters and prohibiting their use is a key step to ensure stable production. If unstable indenters are allowed to continue to be used, their unreliable measurement data will continue to interfere with the normal operation of the mill, increasing the risk of equipment failure and the complexity of maintenance. For example, when rolling high-precision strip steel, inaccurate rolling force measurement may cause the rolls to be over- or under-pressed, causing the thickness accuracy of the strip to exceed the allowable range and generate a large amount of scrap. Moreover, repeated use of unstable indenters may further damage other parts of the mill. For example, due to incorrect rolling force, the bearing seat may be subjected to excessive unbalanced force, which will accelerate its wear and increase the overall equipment maintenance cost. Therefore, prohibiting its use is to eliminate potential production risks at the source.
[0089] See also Figure 5, is a schematic structural diagram of a hot rolling mill stiffness degradation diagnosis device provided in an embodiment of the present application, comprising:
[0090] A rolling force acquisition unit 21, used to acquire the actual rolling force of the hot rolling mill ram;
[0091] A performance condition identification unit 22 determines the performance condition of the hot rolling mill head based on the actual rolling force;
[0092] The diagnosis result analysis unit 23 obtains the diagnosis result of the hot rolling mill stiffness degradation based on the performance condition.
[0093] See also Figure 6 The embodiment of the present application also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any method of the diagnostic device for hot rolling mill stiffness degradation are implemented.
[0094] Since the electronic device introduced in this embodiment is a device used to implement a diagnostic device for hot rolling mill stiffness degradation in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation mode of the electronic device of the present embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by the technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.
[0095] During the specific implementation process, when the computer program 311 is executed by a processor, any implementation method in the embodiments corresponding to the first aspect can be implemented.
[0096] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0097] Those skilled in the art will appreciate that the embodiments of the present application may provide methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-readable program code.
[0098] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0099] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0101] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes Figure 1 A process of a method for diagnosing stiffness degradation of a hot rolling mill in a corresponding embodiment.
[0102] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. Available media may be magnetic media, (e.g., floppy disk, hard disk, tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk (SSD)), etc.
[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0104] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.
[0108] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
[0109] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.
[0110] Obviously, those skilled in the art can make various changes and modifications to this specification without departing from the spirit and scope of this specification. Thus, if these modifications and modifications of this specification fall within the scope of the claims of this specification and their equivalents, this specification is also intended to include these modifications and modifications.
Claims
1. A method for diagnosing the deterioration of the stiffness of a hot rolling mill, characterized in that: The method comprises: Obtain the actual rolling force of the hot rolling mill head; Determining the performance of the hot rolling mill ram based on the actual rolling force; Based on the performance conditions, a diagnosis result of hot rolling mill stiffness degradation is obtained.
2. The method according to claim 1, characterized in that: Determining the performance of the hot rolling mill head based on the actual rolling force includes: comparing the actual rolling force with a static calibration value of the hot rolling mill ram; When the error between the static calibration value and the actual rolling force is greater than or equal to a preset value, the performance of the hot rolling mill ram is judged to be unstable, wherein the preset value is determined based on the model of the hot rolling mill ram.
3. The method according to claim 1, characterized in that The method of obtaining a diagnosis result of the hot rolling mill stiffness degradation based on the performance condition includes: In the case where the performance condition is unstable and the hot rolling mill ram has unstable rolling conditions on different hot rolling mills, determining that the hot rolling mill stiffness degradation is caused by the hot rolling mill ram; or, When the performance condition is unstable and different hot rolling mill rams have unstable rolling states on the same hot rolling mill, it is determined that the degradation of the hot rolling mill stiffness is caused by other components of the hot rolling mill, wherein the other components include hydraulic cylinders, rolling mill arches and bearing seats.
4. The method according to any one of claims 1 to 3, characterized in that: Also includes: Based on the sensor data, real-time monitoring of the rolling state of the hot rolling mill ram; Based on the rolling state, a stiffness degradation trend during operation of the hot rolling mill is identified.
5. The method according to claim 1, characterized in that Also includes: Collecting the full life cycle data of the hot rolling mill ram, wherein the full life cycle data includes warehousing information, quality inspection information, outbound information, machine use information, rolling status information, machine removal reason information and return to the factory repair information; Based on the full life cycle data, a full life cycle history file of the hot rolling mill ram is generated for easy tracking and management, wherein the hot rolling mill ram is assigned a unique code.
6. The method according to claim 5, characterized in that Also includes: Based on big data analysis and machine learning algorithms, data mining is performed on the full life cycle data to identify patterns in historical data and predict the stable trend of the indenter performance; Optimize maintenance plans and equipment management strategies based on prediction results.
7. The method according to claim 2, characterized in that Also includes: When the performance of the hot rolling mill pressure head is unstable, the hot rolling mill pressure head is blacklisted, and is prohibited from being used on the hot rolling mill again, and is scrapped.
8. A hot rolling mill stiffness degradation diagnostic device, characterized in that: include: A rolling force acquisition unit, used to acquire the actual rolling force of the hot rolling mill ram; a performance condition identification unit, which determines the performance condition of the hot rolling mill ram based on the actual rolling force; The diagnosis result analysis unit obtains a diagnosis result of the hot rolling mill stiffness degradation based on the performance condition.
9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of a method for diagnosing hot rolling mill stiffness degradation as described in any one of claims 1 to 7 when executing the computer program stored in the memory.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for diagnosing the deterioration of rigidity of a hot rolling mill according to any one of claims 1 to 7 is implemented.
Citation Information
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