Intelligent control method and system for the pickling section speed of a pickling and rolling mill

Abstract

This invention provides an intelligent control method and system for the pickling section speed of a pickling and rolling mill, comprising: statistically analyzing factors affecting the production rhythm of the mill; establishing a basic pickling speed model based on the master speed of each section and the looper, and calculating the speed of the intelligent rhythm model of the pickling section; determining the production rhythm of the inlet section and adjusting the speed according to abnormal situations; determining the production rhythm of the outlet section and obtaining the speed; determining the production rhythm of the rolling mill section and adjusting the speed; compiling a speed change table corresponding to different abnormal times, predicting speed changes according to abnormal situations, and maintaining continuous operation of the pickling section; determining whether the incoming strip head is high-temperature coiling material, and if so, automatically reducing the pickling speed; configuring an intelligent production configuration interface to set various necessary modes and parameters. This invention, combined with the mill production rhythm, can predict the required time for each section in advance before coiling, and statistically analyze possible changes during operation, comprehensively intervening in the speed to make the mill operation more stable and efficient.

Description

Technical Field

[0001] This invention relates to the technical field of cold rolling production, and more specifically, to an intelligent control method and system for the speed of the pickling section of a pickling mill. Background Technology

[0002] The pickling and rolling mill consists of four sections: the entrance section, the pickling section, the disc shear section, and the rolling mill section. The pickling section typically requires minimal downtime and, where possible, a stable speed. This is because if the strip remains in the pickling solution for too long, it will be over-pickled, resulting in poor ductility and affecting finished product quality. Conversely, if the pickling time in the pickling section is too short, it will be under-pickled, affecting rolling stability and surface quality.

[0003] Pickling speed is affected by various factors such as pickling quality, inlet section master speed, outlet section master speed, mill section master speed, 1# / 2# / 3# looper quantity, welding time, welding machine status, change of specifications, roll change, strip breakage, inlet coil lifting, inlet feeding, inlet strip threading, disc shearing, edge wire treatment, escape fault, blade change, outlet strip grinding, outlet steel coil warehousing, equipment failure, etc.

[0004] During production, the unit's status changes rapidly, and various abnormalities can affect the production rhythm. To ensure stable and continuous production, continuous micro-adjustments to the unit speed are necessary. Currently, intervention in strip speed is mainly achieved through operators at each section's control point, who communicate with each other based on the situation in each section. The main operator then manually adjusts the speed based on this information. Typically, this involves reducing the pickling speed when an abnormality occurs to allow sufficient time to address the issue, and then restoring the pickling speed after the problem is resolved. Due to the inherent uncertainty of human intervention, the prediction and judgment of abnormalities are often inaccurate, resulting in inconsistent speeds in the pickling process, which negatively impacts unit capacity and pickling quality.

[0005] Therefore, a new technical solution is needed to improve the above-mentioned technical problems. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide an intelligent control method and system for the pickling section speed of a pickling mill.

[0007] According to the present invention, an intelligent control method for the pickling section speed of a pickling mill unit is provided, the method comprising the following steps:

[0008] Step S1: Analyze the factors that affect the production rhythm of the unit, including the master speed of each section, the influence of the incoming steel type, the position and amount of looper, the inlet coiling, the threading, the welding rhythm, the welding status and completion of the welding machine, the rhythm of the weld passing through the disc shear, and the status and abnormal conditions of the rolling mill section.

[0009] Step S2: Establish a basic pickling speed model based on the main command speed and loop of each segment, and calculate the speed of the intelligent rhythm model of the pickling segment;

[0010] Step S3: Determine the production rhythm of the inlet section, combine the actual looper quantity at the inlet with the welding machine status, calculate the required time, determine whether it meets the continuous production requirements, and adjust the speed according to abnormal situations;

[0011] Step S4: Determine the production rhythm of the export section, monitor each action and status, and calculate the looper filling capacity and obtain the speed when an abnormal situation occurs;

[0012] Step S5: Determine the production rhythm of the rolling mill section, monitor the faults and roll changing status of the rolling mill section, and adjust the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper.

[0013] Step S6: Compile a table of speed changes corresponding to different abnormal times, predict speed changes based on abnormal conditions, and maintain the continuous operation of the pickling section;

[0014] Step S7: Determine if the incoming strip head is a high-temperature coiled material. If so, automatically reduce the pickling speed.

[0015] Step S8: Configure the intelligent production configuration interface and set various necessary modes and parameters.

[0016] Preferably, the abnormal situations in step S1 include welding machine malfunction, wire escape, edge blockage, specification change, roller replacement, belt breakage, and equipment failure.

[0017] Preferably, the master control speeds in step S1 include the inlet master control speed, the outlet master control speed, and the mill master control speed.

[0018] The influence of incoming steel grades includes the pickling capability of different steel grades and the surface strip quality;

[0019] There are three loops.

[0020] Preferably, the calculation formula for the pickling rate model in step S2 is as follows:

[0021] V AI =f(V ENT V CNT V EXT V TCM (T,L,W)

[0022] Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCMThe estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

[0023] Preferably, the intelligent production configuration interface in step S8 is used to set various necessary modes and parameters, including but not limited to the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

[0024] The present invention also provides an intelligent control system for the speed of the pickling section of a pickling mill, the system comprising the following modules:

[0025] Module M1: Statistically analyzes factors affecting the production rhythm of the unit, including the master speed of each section, the impact of incoming steel type, the position and quantity of looper, inlet coiling, threading, welding rhythm, welding machine welding status and completion, the rhythm of weld passing through the disc shear, and the status and abnormal conditions of the rolling mill section.

[0026] Module M2: Based on the speed of each segment's main command and the loop, establish a basic pickling speed model and calculate the speed of the intelligent rhythm model for the pickling segment;

[0027] Module M3: Determines the production rhythm of the entry section, calculates the required time based on the actual looper quantity at the entry section and the status of the welding machine, determines whether the continuous production requirements are met, and adjusts the speed according to abnormal situations.

[0028] Module M4: Determines the production rhythm of the export section, monitors each action and status, and calculates the looper filling capacity and obtains the speed when an abnormal situation occurs;

[0029] Module M5: Determines the production rhythm of the rolling mill section, monitors the faults and roll changing status of the rolling mill section, and adjusts the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper;

[0030] Module M6: Compiles speed change tables corresponding to different abnormal times, predicts speed changes based on abnormal situations, and maintains continuous operation of the pickling section;

[0031] Module M7: Determines whether the incoming strip head is high-temperature coiled material; if so, automatically reduces the pickling speed.

[0032] Module M8: Configures the intelligent production configuration interface, allowing you to set various necessary modes and parameters.

[0033] Preferably, the abnormal situations in module M1 include welding machine malfunction, wire escape, edge blockage, specification change, roller change, belt breakage, and equipment failure.

[0034] Preferably, the master control speeds in module M1 include the entry section master control speed, the exit section master control speed, and the mill section master control speed;

[0035] The influence of incoming steel grades includes the pickling capability of different steel grades and the surface strip quality;

[0036] There are three loops.

[0037] Preferably, the calculation formula for the pickling rate model in module M2 is as follows:

[0038] V AI =f(V ENT V CNT V EXT V TCM (T,L,W)

[0039] Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCM The estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

[0040] Preferably, the intelligent production configuration interface in module M8 is used to set various necessary modes and parameters, including but not limited to the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. Based on the production rhythm of the pickling and rolling mill, this invention provides a pickling speed control method that meets production needs, reduces the frequency of manual speed intervention, and makes the mill more intelligent.

[0043] 2. The intelligent speed control method for the pickling section of the pickling mill described in this invention, combined with the production rhythm of the mill, can predict the time required for each section in advance before the coil is loaded, and count the possible changes that may occur during operation, and comprehensively intervene in the speed to make the mill operation more stable and efficient.

[0044] 3. In accordance with the spirit of the present invention, in a certain cold rolling pickling mill, the speed control method significantly reduced the operating load, improved production efficiency, and made the mill production more stable.

[0045] 4. This invention estimates the time required for each stage of operation, takes into account potential abnormalities during unit operation, and considers the production rhythm to comprehensively calculate a reasonable pickling stage speed, thereby reducing the rate of human intervention and improving unit stability. Attached Figure Description

[0046] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0047] Figure 1 This is a diagram showing the intelligent production configuration of the pickling section in this invention.

[0048] Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0049] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0050] Example 1:

[0051] Reference Figure 1 and Figure 2 According to the present invention, an intelligent control method for the pickling section speed of a pickling mill unit is provided, the method comprising the following steps:

[0052] Step S1: Analyze the factors affecting the unit's production rhythm, including the master speed of each section, the impact of the incoming steel grade, the position and quantity of the looper, the inlet coiling, strip threading, welding rhythm, welding machine welding status and completion, the rhythm of the weld passing through the disc shear, and the status and abnormal conditions of the rolling mill section; abnormal conditions include welding machine malfunctions, edge wire escape, edge blockage, specification changes, roll changes, strip breakage, and equipment failure; the master speed of each section includes the inlet section master speed, the outlet section master speed, and the rolling mill section master speed; the impact of the incoming steel grade includes the pickling capability of different steel grades and the surface strip quality; the number of loopers is three.

[0053] Step S2: Based on the main command speed of each segment and the loop, establish a basic pickling speed model, and calculate the speed of the intelligent rhythm model of the pickling segment; the calculation formula for the pickling speed model is:

[0054] V AI =f(V ENT V CNT V EXT V TCM (T,L,W)

[0055] Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCMThe estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

[0056] Step S3: Determine the production rhythm of the inlet section, combine the actual looper quantity at the inlet with the welding machine status, calculate the required time, determine whether it meets the continuous production requirements, and adjust the speed according to abnormal situations;

[0057] Step S4: Determine the production rhythm of the export section, monitor each action and status, and calculate the looper filling capacity and obtain the speed when an abnormal situation occurs;

[0058] Step S5: Determine the production rhythm of the rolling mill section, monitor the faults and roll changing status of the rolling mill section, and adjust the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper.

[0059] Step S6: Compile a table of speed changes corresponding to different abnormal times, predict speed changes based on abnormal conditions, and maintain the continuous operation of the pickling section;

[0060] Step S7: Determine if the incoming strip head is a high-temperature coiled material. If so, automatically reduce the pickling speed.

[0061] Step S8: Configure the intelligent production configuration interface to set various necessary modes and parameters; the intelligent production configuration interface is used to set various necessary modes and parameters, including but not limited to the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

[0062] The present invention also provides an intelligent control system for the speed of the pickling section of a pickling mill. The intelligent control system for the speed of the pickling section of a pickling mill can be implemented by executing the process steps of the intelligent control method for the speed of the pickling section of a pickling mill. That is, those skilled in the art can understand the intelligent control method for the speed of the pickling section of a pickling mill as a preferred embodiment of the intelligent control system for the speed of the pickling section of a pickling mill.

[0063] Example 2:

[0064] The present invention also provides an intelligent control system for the speed of the pickling section of a pickling mill, the system comprising the following modules:

[0065] Module M1: Statistically analyzes factors affecting the unit's production rhythm, including the master speed of each section, the impact of incoming steel grade, the position and quantity of loopers, inlet coiling, strip threading, welding rhythm, welding machine welding status and completion, the rhythm of weld seam passing through the disc shear, and the status and abnormal conditions of the rolling mill section; abnormal conditions include welding machine malfunctions, edge wire escape, edge blockage, specification changes, roll changes, strip breakage, and equipment failures; master speed of each section includes inlet section master speed, outlet section master speed, and rolling mill section master speed; the impact of incoming steel grade includes the pickling capability of different steel grades and the surface strip quality; the number of loopers is three.

[0066] Module M2: Based on the main command speed and looper speed of each segment, a basic pickling speed model is established, and the speed of the intelligent rhythm model of the pickling segment is calculated; the calculation formula of the pickling speed model is:

[0067] V AI =f(V ENT V CNT V EXT V TCM (T,L,W)

[0068] Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCM The estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

[0069] Module M3: Determines the production rhythm of the entry section, calculates the required time based on the actual looper quantity at the entry section and the status of the welding machine, determines whether the continuous production requirements are met, and adjusts the speed according to abnormal situations.

[0070] Module M4: Determines the production rhythm of the export section, monitors each action and status, and calculates the looper filling capacity and obtains the speed when an abnormal situation occurs;

[0071] Module M5: Determines the production rhythm of the rolling mill section, monitors the faults and roll changing status of the rolling mill section, and adjusts the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper;

[0072] Module M6: Compiles speed change tables corresponding to different abnormal times, predicts speed changes based on abnormal situations, and maintains continuous operation of the pickling section;

[0073] Module M7: Determines whether the incoming strip head is high-temperature coiled material; if so, automatically reduces the pickling speed.

[0074] Module M8: Configures the intelligent production configuration interface, which sets various necessary modes and parameters; the intelligent production configuration interface is used to set various necessary modes and parameters, including but not limited to the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

[0075] Example 3:

[0076] Based on the production rhythm of the pickling and rolling mill, a pickling speed control method that meets production needs is provided to reduce the frequency of manual speed intervention and make the mill more intelligent.

[0077] In the production of the pickling and rolling mill, the pickling process section has a relatively stable speed. This invention provides an intelligent control method for the pickling speed by taking into account the overall operating status and abnormal conditions of the entire pickling and rolling mill.

[0078] Specifically, this is achieved through the following technical solutions:

[0079] Step (1): Analyze the factors affecting the unit's production rhythm, as follows:

[0080] ①Master control speeds for each section: master control speed of the inlet section, master control speed of the outlet section, and master control speed of the mill section;

[0081] ② The impact of different incoming steel grades, such as the pickling ability and surface strip quality of different steel grades;

[0082] ③ The positions and quantities of the three loops;

[0083] ④ The rhythm of inlet rolling, threading, and welding;

[0084] ⑤ Real-time monitoring of welding machine status and completion;

[0085] ⑥ The rhythm of the weld seam passing through the disc shear;

[0086] ⑦ Status and abnormal conditions of the rolling mill section;

[0087] Step (2): Establish a basic pickling speed model based on the main command speed of each segment and the looper speed.

[0088] V AI =f(V ENT V CNT V EXT V TCM (T,L,W)

[0089] In the formula: V AI The maximum speed calculated by the intelligent rhythm model for the pickling section (not greater than the speed of the conventional L2 pickling model);

[0090] V ENT : Entry segment master speed;

[0091] V CNT Central section command speed;

[0092] V EXT : Export section master speed;

[0093] V TCM : Rolling mill section master speed;

[0094] T: Estimated time for unit anomaly;

[0095] L: Position of each loop;

[0096] W: Weld location.

[0097] Step (3): Determine the production rhythm of the entry section, such as monitoring the actions of winding and hoisting, and calculate the required time in combination with the actual amount of looper at the entry and the status of equipment such as welding machine, and determine whether it can meet the continuous production requirements. Once any abnormal situation is found in the front and rear rolls, such as welding time exceeding the limit or unwinding abnormality of the unwinding machine, the speed should be adjusted appropriately to ensure production stability and the continuity of the pickling section.

[0098] Step (4): Determine the production rhythm of the export section, monitor each action and status, and when abnormalities such as edge slippage, edge blockage, or changes in specifications occur, which may cause the disc shear to slow down or even stop, calculate the remaining length of the loop filling based on the percentage of the loop high synchronization position, the actual looping quantity, and the total length of the loop, so as to quickly calculate the loop filling capacity and obtain a reasonable speed:

[0099]

[0100] L 总 : Looping length 100%;

[0101] P: Percentage of high synchronization bit in the loop;

[0102] L a : Actual length during looper operation;

[0103] δ: Number of loop layers;

[0104] Step (5): Determine the production rhythm of the rolling mill section, monitor the faults and roll changing status of the rolling mill section, and combine the uncoiling rhythm, the logistics of the walking beam, and the actual amount of the exit looper. The uncoiling rhythm is determined by the position of the uncoiling trolley, whether there is a roll on the uncoiling trolley, the occupancy of the walking beam saddle, and the operation of the automatic stepper. If there is any abnormality, the speed is adjusted appropriately.

[0105] Step (6): For any abnormal situation that occurs in the unit, compile a table of speed changes corresponding to different abnormal times. For example, if the welding machine is abnormal, the speed of the pickling section will be slightly reduced. When the abnormal time of the welding machine exceeds a certain range, the speed should be reduced again in advance to maintain the continuous operation of the pickling section.

[0106] Step (7): Determine whether the incoming material head is high-temperature coiled material. To ensure pickling quality, the high-temperature coiled material head needs to stay in the pickling section for a longer time, and the pickling speed needs to be automatically reduced. The unit itself has a judgment signal regarding whether it is high-temperature coiled material. The speed reduction speed when the high-temperature coiled material passes through the pickling section is manually set by inputting the setting on the HMI screen. This invention realizes the tracking of the material head and automatic speed switching.

[0107] Step (8): Configure as required by the operating process, such as Figure 1 The intelligent production configuration interface allows for the setting of various necessary modes and parameters.

[0108] The intelligent speed control method for the pickling section of a pickling mill described in this invention, combined with the mill's production rhythm, can predict the required time for each section before coiling and analyze potential changes during operation, comprehensively intervening in the speed to make the mill operation more stable and efficient. Based on the spirit of this invention, in a cold rolling pickling mill, this speed control method significantly reduced the operating load, improved production efficiency, and made the mill's production more stable. This invention, by predicting the required time for each section, considering potential anomalies during mill operation, and taking into account the production rhythm, comprehensively judges and calculates a reasonable pickling section speed, reducing the rate of human intervention and improving mill stability.

[0109] Those skilled in the art can understand this embodiment as a more specific description of Embodiment 1 and Embodiment 2.

[0110] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0111] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A method for intelligent control of the pickling section speed of a pickling and rolling mill, characterized in that, The method includes the following steps: Step S1: Analyze the factors that affect the production rhythm of the unit, including the master speed of each section, the influence of the incoming steel type, the position and amount of looper, the inlet coiling, the threading, the welding rhythm, the welding status and completion of the welding machine, the rhythm of the weld passing through the disc shear, and the status and abnormal conditions of the rolling mill section. Step S2: Establish a basic pickling speed model based on the main command speed and loop of each segment, and calculate the speed of the intelligent rhythm model of the pickling segment; Step S3: Determine the production rhythm of the inlet section, combine the actual looper quantity at the inlet with the welding machine status, calculate the required time, determine whether it meets the continuous production requirements, and adjust the speed according to abnormal situations; Step S4: Determine the production rhythm of the export section, monitor each action and status, and calculate the looper filling capacity and obtain the speed when an abnormal situation occurs; Step S5: Determine the production rhythm of the rolling mill section, monitor the faults and roll changing status of the rolling mill section, and adjust the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper. Step S6: Compile a table of speed changes corresponding to different abnormal times, predict speed changes based on abnormal conditions, and maintain the continuous operation of the pickling section; Step S7: Determine if the incoming strip head is a high-temperature coiled material. If so, automatically reduce the pickling speed. Step S8: Configure the intelligent production configuration interface and set various necessary modes and parameters; The intelligent production configuration interface in step S8 is used to set various necessary modes and parameters, including the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

2. The intelligent control method for the pickling section speed of a pickling mill according to claim 1, characterized in that, Abnormal situations in step S1 include welding machine malfunction, wire escape, edge blockage, change of specifications, roller replacement, belt breakage, and equipment failure.

3. The intelligent control method for the pickling section speed of a pickling mill according to claim 1, characterized in that, The master control speeds in step S1 include the inlet section master control speed, the outlet section master control speed, and the mill section master control speed. The influence of incoming steel grades includes the pickling ability of different steel grades and the surface quality of strip steel; There are three loops.

4. The intelligent control method for the pickling section speed of a pickling mill according to claim 3, characterized in that, The calculation formula for the pickling rate model in step S2 is as follows: V AI =f(V ENT ,V CNT ,V EXT ,V TCM ,T,L,W) Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCM The estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

5. An intelligent control system for the speed of the pickling section of a pickling and rolling mill, characterized in that, The system includes the following modules: Module M1: Statistically analyzes factors affecting the production rhythm of the unit, including the master speed of each section, the impact of incoming steel type, the position and quantity of looper, inlet coiling, threading, welding rhythm, welding machine welding status and completion, the rhythm of weld passing through the disc shear, and the status and abnormal conditions of the rolling mill section. Module M2: Based on the speed of each segment's main command and the loop, establish a basic pickling speed model and calculate the speed of the intelligent rhythm model for the pickling segment; Module M3: Determines the production rhythm of the entry section, calculates the required time based on the actual looper quantity at the entry section and the status of the welding machine, determines whether the continuous production requirements are met, and adjusts the speed according to abnormal situations. Module M4: Determines the production rhythm of the export section, monitors each action and status, and calculates the looper filling capacity and obtains the speed when an abnormal situation occurs; Module M5: Determines the production rhythm of the rolling mill section, monitors the faults and roll changing status of the rolling mill section, and adjusts the speed in combination with the unloading rhythm and the actual rolling volume of the exit looper; Module M6: Compiles speed change tables corresponding to different abnormal times, predicts speed changes based on abnormal situations, and maintains continuous operation of the pickling section; Module M7: Determines whether the incoming strip head is high-temperature coiled material; if so, automatically reduces the pickling speed. Module M8: Configures the intelligent production configuration interface, allowing you to set various necessary modes and parameters; The intelligent production configuration interface in module M8 is used to set various necessary modes and parameters, including the maximum and minimum values ​​of pickling speed and speed adjustment strategies under various abnormal conditions.

6. The intelligent control system for the pickling section speed of the pickling mill unit according to claim 5, characterized in that, Abnormal situations in module M1 include welding machine malfunction, wire escape due to edge change, edge blockage, change of specifications, roller change, belt breakage, and equipment failure.

7. The intelligent control system for the pickling section speed of the pickling mill unit according to claim 5, characterized in that, The master control speeds in module M1 include the inlet master control speed, the outlet master control speed, and the mill master control speed. The influence of incoming steel grades includes the pickling ability of different steel grades and the surface quality of strip steel; There are three loops.

8. The intelligent control system for the pickling section speed of the pickling mill unit according to claim 7, characterized in that, The calculation formula for the pickling rate model in module M2 is as follows: V AI =f(V ENT ,V CNT ,V EXT ,V TCM ,T,L,W) Among them, the main control speed V of the entry segment ENT Central section command speed V CNT The exit section's command speed V EXT Rolling mill section master speed V TCM The estimated time T for unit anomalies, the position L of each looper section, the position W of the weld, and the maximum speed V calculated by the intelligent rhythm model of the pickling section. AI .

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