Continuous cold rolling mill steel strip breakage control method

Abstract

The invention relates to the technical field of rolling, and discloses a continuous cold rolling mill steel strip breakage control method which comprises the following steps: S1, after a rolling mill is shut down, positioning a strip breakage position through a three-dimensional scanning system and detecting strip steel state parameters; s2, the strip tail strip steel is reserved in the rolling mill, and a rack linkage system is synchronously activated; a space coupling bridging structure of strip tail strip steel and strip head strip steel is established, a retained strip tail is creatively used as a strip threading supporting foundation, a traditional manual crowbar strip threading mode is replaced, the problem that a strip steel passing path is unstable after strip breakage is solved, the cooperative control precision of the strip head strip steel in the process of passing through multiple racks is guaranteed, and the working efficiency is improved. The risks of strip steel overlying and secondary fracture in the strip threading process are reduced, so that the safety and reliability of broken strip recovery operation are improved; by constructing a dynamic deviation correction compensation system and a full-rack collaborative threading mechanism, the spatial pose change of the bridging structure is monitored in real time, and the displacement compensation action is automatically triggered, so that the path deviation in the strip steel advancing process can be eliminated.

Description

Technical Field

[0001] This invention relates to the field of rolling technology, specifically to a method for controlling strip breakage in cold continuous rolling mills. Background Technology

[0002] Cold rolling is a process that uses hot-rolled steel coils as raw materials, pickles to remove oxide scale, and then produces cold-rolled sheets through processes such as cold rolling, degreasing, annealing, and leveling. Due to work hardening, the strength and hardness of hardened coils increase, while their toughness and plasticity decrease, limiting their stamping performance. They are mainly used for simple deformation parts. The proportion of high-strength steel produced by cold rolling mills is gradually increasing. However, after a high-strength steel strip breaks, restarting the mill is prone to accidents such as rolling over limits, roll jamming, and strip breakage. More often than not, it is necessary to re-roll other thicknesses for production, which seriously affects the stable operation of the mill and restricts the full utilization of the mill's capacity.

[0003] Currently, in the handling of strip breakage accidents in cold rolling mills, when a steel strip suddenly breaks on the production line, operators need to manually locate the breakage point based on experience and manually remove strip fragments. Then, a pry bar is used to guide the leading strip back through the rolling mill. Because the tail strip remains inside the mill after the breakage, causing spatial interference, and manual strip threading is difficult to coordinate with the speed ratio of multiple stands in real time, the tension distribution of the strip becomes unbalanced during the threading process, leading to strip stacking, scratches, or even secondary breakage. Especially when dealing with high-strength thin strip, existing technology cannot dynamically compensate for the superposition effect of the vertical deformation of the tail strip and the sickle-bend defect of the leading strip, resulting in the loss of control over the stability of the threading path.

[0004] Therefore, a method for controlling strip breakage in cold continuous rolling mills is proposed to solve the above problems. Summary of the Invention

[0005] (a) Technical problems to be solved

[0006] To address the shortcomings of existing technologies, this invention provides a method for controlling strip breakage in cold continuous rolling mills, thus solving the problems mentioned in the background section.

[0007] (II) Technical Solution

[0008] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling strip breakage in a cold continuous rolling mill, the method comprising the following steps:

[0009] S1. After the rolling mill stops, the location of the strip break is located and the strip condition parameters are detected using a three-dimensional scanning system;

[0010] S2. Retain the tail strip inside the mill and simultaneously activate the stand linkage system;

[0011] S3. Drive the strip at the head of the belt to move forward in the belt breakage frame linkage mode, so that the strip at the head of the belt forms a spatial coupling bridging structure above the tail of the belt.

[0012] S4. Based on the bridging structure triggering the whole stand collaborative strip threading mechanism, guide the leading strip steel through the rolling mill unit;

[0013] S5. Real-time monitoring of pressure distribution and strip deformation parameters in the bridging area;

[0014] S6. After the strip is threaded to the coiler, the tail of the strip is automatically collected, and the rolling mill is started to resume production.

[0015] S7. When the bridge offset is detected to exceed the safety threshold, the dynamic correction compensation system is activated.

[0016] S8. Establish a tape threading efficiency optimization model based on historical tape breakage data and dynamically adjust the frame linkage parameters.

[0017] Preferably, step S1 includes:

[0018] S11. Deploy laser displacement sensor arrays between rolling mill units to construct a three-dimensional thermal map of the strip breakage location in real time;

[0019] S12. Collect residual stress distribution data of the strip steel at the tail end using a strain gauge;

[0020] S13. Use a machine vision system to identify the sickle bend defect index and edge damage geometric parameters of the leading strip steel.

[0021] Preferably, step S3 includes:

[0022] S31. Set the speed gradient of the leading strip: inlet frame speed ≤ strip breakage frame speed ≤ outlet frame speed;

[0023] S32. When the vertical radius of curvature of the tail strip is less than the preset critical value, the hydraulic lifting device is activated to assist in bridging.

[0024] S33. Monitor the temperature field of the bridging contact surface in real time using an infrared thermometer to avoid local overheating and melting.

[0025] Preferably, the cooperative strapping mechanism in step S4 includes:

[0026] S41. An electromagnetic guide roller assembly is installed between frames F2 and F3 to generate an axial constraint magnetic field;

[0027] S42. Apply micro-tension control to the bridging area to maintain the tension value in the range of 0.5-1.2kN;

[0028] S43. Use an air pressure balancing device to eliminate the floating effect of strip steel between frames.

[0029] Preferably, the dynamic correction compensation system in step S7 includes:

[0030] S71. Establish the functional relationship between the bridging offset δ and the corrective force:

[0031] F c =k·e λ·δ ·g(v);

[0032] Where F c δ represents the corrective force to be applied, k is the measured value of the real-time offset, λ is the system stiffness coefficient, g(v) is the deformation sensitivity factor, and g(v) is the strip speed compensation function.

[0033] S72. When the offset δ is greater than 3mm, the wedge corrector driven by the servo motor is activated.

[0034] S73, the corrector's stroke accuracy reaches ±0.05mm through closed-loop control of the laser rangefinder.

[0035] Preferably, the optimization model construction in step S8 includes:

[0036] S81. Collect mapping data of historical strip breakage locations, strip defect types, and strip threading time;

[0037] S82. Identify the correlation features between rack speed ratio and bridging success rate using convolutional neural networks;

[0038] S83. Establish a dynamic priority matrix:

[0039] P = α·L + β·D + γ·S;

[0040] Where P represents the parameter optimization weight, L represents the camber defect level, D represents the strip breakage location coefficient, S represents the strip strength attenuation rate, and α, β, and γ are dynamic adjustment coefficients, α+β+γ=1;

[0041] S84. Based on the weight matrix P, the rack linkage acceleration curve is corrected in real time.

[0042] Preferably, it also includes safety control steps:

[0043] S91. When the detected slippage of the tail strip is greater than 5mm, the vacuum adsorption fixing device is automatically triggered.

[0044] S92. Install a strip attitude sensing module at the coiler inlet to ensure the success rate of strip head biting in;

[0045] S93. Upload tape breakage processing data to the cloud analysis platform in real time via the Industrial Internet of Things.

[0046] Preferably, the implementation of the method needs to meet the following collaborative indicators:

[0047] S101, the strapping time is controlled within 15±1.5 minutes, and verified in real time through an efficiency optimization model;

[0048] S102. The stability of the bridging structure must meet the technical requirement that the deformation rate of the steel strip is less than 0.3%.

[0049] S103. The dynamic correction response time must complete the offset compensation within 500ms;

[0050] S104, the annualized reduction in downtime due to faults must reach a benchmark of 60 minutes per 10,000 units of production capacity.

[0051] Preferably, it also includes an economic benefit optimization module:

[0052] S111. Extract the tape threading time reduction value based on the historical tape breakage processing database, and dynamically output the increase in production capacity per tape breakage through the capacity gain calculation model:

[0053] ΔQ=T s ×V p ×η;

[0054] Where ΔQ represents the increased production from a single belt break treatment, and T s V represents the time savings. p η represents the production line baseline speed, and η represents the yield compensation coefficient.

[0055] S112. When the real-time monitoring system detects that the monthly frequency of strip breakage reaches the preset threshold, the raw material quality screening protocol is automatically activated, triggering the high-precision sickle bend detector to perform a full-width scan of the steel coils entering the warehouse.

[0056] S113. After completing the screening operation, start the economic benefit verification procedure, analyze the deviation between the actual increase in output and the model prediction value, and dynamically update the optimization weight factor of the compensation coefficient η.

[0057] Preferably, the implementation of the method on a five-stand continuous rolling mill requires the following configuration:

[0058] S121. An independently driven variable frequency speed control system is configured in racks F1-F5, with a speed response time ≤0.8 seconds and a torque fluctuation rate of less than 3%.

[0059] S122, a six-degree-of-freedom bridging auxiliary robotic arm is installed in the gap between the F2 and F3 frames, with a repeatability of ±0.1mm. The end effector is equipped with a piezoelectric ceramic micro-force sensor.

[0060] S123. A non-contact strip straightness online detector is installed 15 meters in front of the coiler, with a detection tolerance zone ≤1.5IU and a sampling frequency ≥100Hz;

[0061] S124. During the bridging operation, a three-dimensional positioning compensation algorithm is activated to calibrate the spatial overlap between the head strip and the tail strip in real time, with the positioning deviation threshold set to ≤2.5mm.

[0062] S125, The starting speed follower controller during the winding and biting process ensures that the relative speed difference when the lead enters the winding machine is less than 0.3m / s.

[0063] (III) Beneficial Effects

[0064] Compared with the prior art, the present invention provides a method for controlling strip breakage in cold continuous rolling mills, which has the following beneficial effects:

[0065] 1. In this invention, when handling a sudden strip breakage accident in a cold rolling mill, a spatial coupling bridging structure is established between the strip tail and the strip head. The retained strip tail is creatively used as the support foundation for strip threading, replacing the traditional manual pry bar threading method. This solves the problem of strip instability in the threading path after the strip breakage, ensures the coordinated control accuracy of the strip head passing through multiple stands, reduces the risk of strip stacking and secondary fracture during the threading process, and thus improves the safety and reliability of the strip breakage recovery operation.

[0066] 2. In this invention, during the strip breakage recovery operation, a dynamic correction and compensation system and a full-stand collaborative strip threading mechanism are constructed to monitor the spatial pose changes of the bridging structure in real time and automatically trigger displacement compensation actions, so as to eliminate the path deviation of the strip during the movement of the strip. When strip tail deformation and strip head defects are detected, the strip threading trajectory deviation is corrected in time through multi-stand speed linkage control, ensuring the continuous stability of the strip's entire path from the rolling mill to the coiling area, and avoiding strip scratches and equipment collision accidents.

[0067] 3. In this invention, when handling the entire process of strip breakage recovery, the strip threading efficiency optimization model and preventive control module are integrated to simultaneously analyze the characteristics of the strip breakage location, the type of strip defect, and the unit status parameters. This enables the system to make autonomous optimization decisions on multi-dimensional strip threading strategies, allowing the system to adaptively match the best recovery scheme for different strip breakage conditions, thereby improving the success rate and timeliness of the strip threading operation. At the same time, the fault warning mechanism reduces the probability of subsequent strip breakage, thereby improving the production continuity and overall yield of the continuous rolling mill. Attached Figure Description

[0068] Figure 1 This is a flowchart of a method for controlling strip breakage in a cold rolling mill according to the present invention. Detailed Implementation

[0069] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0070] Specific embodiment: A method for controlling strip breakage in cold continuous rolling mills, the method includes the following steps:

[0071] S1. After the rolling mill stops, the location of the strip break is located and the strip condition parameters are detected using a three-dimensional scanning system;

[0072] S2. Retain the tail strip inside the mill and simultaneously activate the stand linkage system;

[0073] S3. Drive the strip at the head of the belt to move forward in the belt breakage frame linkage mode, so that the strip at the head of the belt forms a spatial coupling bridging structure above the tail of the belt.

[0074] S4. Based on the bridging structure triggering the whole stand collaborative strip threading mechanism, guide the leading strip steel through the rolling mill unit;

[0075] S5. Real-time monitoring of pressure distribution and strip deformation parameters in the bridging area;

[0076] S6. After the strip is threaded to the coiler, the tail of the strip is automatically collected, and the rolling mill is started to resume production.

[0077] S7. When the bridge offset is detected to exceed the safety threshold, the dynamic correction compensation system is activated.

[0078] S8. Establish a tape threading efficiency optimization model based on historical tape breakage data and dynamically adjust the frame linkage parameters.

[0079] Step S1 includes:

[0080] S11. Deploy laser displacement sensor arrays between rolling mill units to construct a three-dimensional thermal map of the strip breakage location in real time;

[0081] S12. Collect residual stress distribution data of the strip steel at the tail end using a strain gauge;

[0082] S13. Use a machine vision system to identify the sickle bend defect index and edge damage geometric parameters of the leading strip steel.

[0083] Step S3 includes:

[0084] S31. Set the speed gradient of the leading strip: inlet frame speed ≤ strip breakage frame speed ≤ outlet frame speed;

[0085] When setting the velocity gradient in step S31, a dynamic velocity difference compensation model is used:

[0086]

[0087] in v is the allowable speed difference between racks. e v is the reference speed for the export rack. i ζ is the real-time speed of the inlet frame, ζ is the damping coefficient for plastic deformation of the strip, and t is the duration of the threading process.

[0088] S32. When the vertical radius of curvature of the tail strip is less than the preset critical value, the hydraulic lifting device is activated to assist in bridging.

[0089] S33. Monitor the temperature field of the bridging contact surface in real time using an infrared thermometer to avoid local overheating and melting.

[0090] The cooperative weaving mechanism in step S4 includes:

[0091] S41. An electromagnetic guide roller assembly is installed between frames F2 and F3 to generate an axial constraint magnetic field;

[0092] S42. Apply micro-tension control to the bridging area to maintain the tension value in the range of 0.5-1.2kN;

[0093] S43. Use an air pressure balancing device to eliminate the floating effect of strip steel between frames.

[0094] The dynamic correction compensation system in step S7 includes:

[0095] S71. Establish the functional relationship between the bridging offset δ and the corrective force:

[0096] F c =k·e λ·δ ·g(v);

[0097] Where F c δ represents the corrective force to be applied, k is the measured value of the real-time offset, λ is the system stiffness coefficient, g(v) is the deformation sensitivity factor, and g(v) is the strip speed compensation function.

[0098] S72. When the offset δ is greater than 3mm, the wedge corrector driven by the servo motor is activated.

[0099] S73, The corrector's stroke accuracy reaches ±0.05mm through closed-loop control of the laser rangefinder;

[0100] The displacement control in step S73 introduces a thermal deformation compensation term:

[0101] δ t =δ0+[[a·(T(x)-T0)·L]dx];

[0102] Where δ tδ0 is the offset after thermal deformation compensation, a is the initial value of laser ranging, T(x) is the linear expansion coefficient of the strip, T(x) is the temperature distribution function of the bridging area, T0 is the ambient reference temperature, and L is the bridging contact length.

[0103] Step S8, the optimization model construction, includes:

[0104] S81. Collect mapping data of historical strip breakage locations, strip defect types, and strip threading time;

[0105] S82. Identify the correlation features between rack speed ratio and bridging success rate using convolutional neural networks;

[0106] S83. Establish a dynamic priority matrix:

[0107] P = α·L + β·D + γ·S;

[0108] Where P represents the parameter optimization weight, L represents the camber defect level, D represents the strip breakage location coefficient, S represents the strip strength attenuation rate, and α, β, and γ are dynamic adjustment coefficients, α+β+γ=1;

[0109] S84. Based on the weight matrix P, the rack linkage acceleration curve is corrected in real time.

[0110] It also includes safety control steps:

[0111] S91. When the high-precision laser displacement sensor detects that the slippage of the strip at the tail is greater than 5mm, the distributed vacuum adsorption fixing device is automatically triggered. This device forms a uniform adsorption force field at the bottom of the strip through a negative pressure generator.

[0112] The threshold setting in step S91 uses a stress-coupled algorithm:

[0113] S max =σ y / (E·ρ·g)×ln(1+β·v);

[0114] Where S max σ is the threshold for dynamic slip. y Where ρ is the yield strength of the strip, E is the elastic modulus, ρ is the material density, g is the gravitational acceleration, β is the surface friction factor of the strip, and v is the real-time velocity of the strip.

[0115] S92. A multispectral vision perception module and strain sensor array are configured at the inlet of the coiler to capture the spatial pose and surface stress distribution of the strip steel in real time, and the coiler biting parameters are adjusted in advance through the attitude prediction algorithm.

[0116] S93. Key data such as the location coordinates of the tape breakage, the tape threading time sequence, and the equipment status log are uploaded to the cloud analysis platform in real time through the industrial IoT gateway, and the remote expert diagnosis interface is triggered.

[0117] S94. When the cloud platform analysis system detects an abnormal slippage frequency, it automatically sends equipment maintenance instructions to the field control system and simultaneously activates the backup adsorption unit to enhance the fixing effect.

[0118] The implementation of this method must meet the following collaborative indicators:

[0119] S101. The actual strapping time control needs to be continuously monitored by a real-time data acquisition system to ensure that it is maintained within the preset time threshold range, and the efficiency optimization model performs an accuracy check every 15 seconds.

[0120] S102. The stability verification of the bridging structure needs to combine three-dimensional strain scanning and infrared thermal imaging dual-mode detection technology to capture the deformation distribution of the strip steel in real time and ensure that the deformation rate is consistently lower than the upper limit of the technical specifications.

[0121] S103. The dynamic correction system needs to be configured with a millisecond-level response verification module to synchronously record action delay data when the offset compensation command is triggered, and complete the compensation loop within 500ms.

[0122] S104. The assessment of annualized downtime reduction needs to be linked to the production line capacity benchmark database, and the actual reduction should be verified through the monthly performance audit report.

[0123] S105. The system protection mechanism needs to be verified regularly through a fault simulation test platform to ensure its response timeliness and that the dual protection capability of gas separation and recombination and electrolyte leakage control continues to meet the standards.

[0124] It also includes an economic efficiency optimization module:

[0125] S111. Extract the tape threading time reduction value based on the historical tape breakage processing database, and dynamically output the increase in production capacity per tape breakage through the capacity gain calculation model:

[0126] ΔQ=T s ×V p ×η;

[0127] Where ΔQ represents the increased production from a single belt break treatment, and T s V represents the time savings. p η represents the production line baseline speed, and η represents the yield compensation coefficient.

[0128] S112. When the real-time monitoring system detects that the monthly frequency of strip breakage reaches the preset threshold, the raw material quality screening protocol is automatically activated, triggering the high-precision sickle bend detector to perform a full-width scan of the steel coils entering the warehouse.

[0129] S113. After completing the screening operation, start the economic benefit verification procedure, analyze the deviation between the actual increase in output and the model prediction value, and dynamically update the optimization weight factor of the compensation coefficient η.

[0130] The method requires the following configuration for implementation on a five-stand continuous rolling mill:

[0131] S121. An independently driven variable frequency speed control system is configured in racks F1-F5, with a speed response time ≤0.8 seconds and a torque fluctuation rate of less than 3%.

[0132] S122, a six-degree-of-freedom bridging auxiliary robotic arm is installed in the gap between the F2 and F3 frames, with a repeatability of ±0.1mm. The end effector is equipped with a piezoelectric ceramic micro-force sensor.

[0133] S123. A non-contact strip straightness online detector is installed 15 meters in front of the coiler, with a detection tolerance zone ≤1.5IU and a sampling frequency ≥100Hz;

[0134] S124. During the bridging operation, a three-dimensional positioning compensation algorithm is activated to calibrate the spatial overlap between the head strip and the tail strip in real time, with the positioning deviation threshold set to ≤2.5mm.

[0135] S125. The starting speed follower controller during the winding engagement process ensures that the relative speed difference when the lead enters the winding machine is less than 0.3 m / s. The speed difference suppression adopts the following method:

[0136]

[0137] Where Δv min The critical velocity difference threshold. λ is the angular acceleration modulus of the coiler, λ is the strip thickness compensation coefficient, and d is the measured thickness of the strip at the head. max This refers to the maximum allowable thickness of the equipment.

[0138] The steps of this method are as follows:

[0139] Step 1: Response and Initial Location of Belt Disconnection Accident

[0140] When a strip breakage accident occurs in the rolling mill, the system immediately triggers a three-level response mechanism: First, a laser displacement sensor array performs a three-dimensional scan of the inside of the rolling mill to accurately locate the breakage position and construct a heat map of the strip fragment distribution; simultaneously, a machine vision system captures in real time the camber defect morphology of the strip head and the vertical deformation characteristics of the strip tail. During this stage, the strip tail remains inside the rolling mill to provide a spatial positioning reference for subsequent bridging operations.

[0141] Step 2: Construction of the bridging structure and collaborative weaving

[0142] The leading strip is driven to move towards the tail in a multi-stand linkage mode. An axial constraint magnetic field is generated by electromagnetic guide rollers, creating a spatially coupled bridging structure above the tail. During this process, a six-degree-of-freedom robotic arm fine-tunes the pose of the bridging contact surface in real time, while an infrared temperature measurement system continuously monitors the temperature field distribution in the contact area. When a local pressure imbalance is detected, a hydraulic lifting device automatically compensates for the tail deformation, ensuring the geometric stability of the bridging structure. Subsequently, a full-stand coordinated strip-threading mechanism is activated, guiding the leading strip continuously through the rolling mill unit under micro-tension control.

[0143] Step 3: Dynamic Error Correction and Rewind Recovery

[0144] During the strip threading process, a laser rangefinder monitors the bridging offset in real time. When the offset exceeds the safety threshold, a wedge straightener dynamically applies a corrective force based on a deformation-sensitive factor. Before the strip reaches the coiling area, a non-contact flatness detector predicts the strip head's posture in advance, and the speed follower controller synchronously adjusts the coiler's engagement speed. After the strip head enters the coiler, a vacuum adsorption device immediately fixes the strip tail and initiates the automatic take-up program, ultimately restoring the mill system to operation.

[0145] Step 4: Energy Efficiency Optimization and Prevention Control

[0146] This method analyzes historical strip breakage data using a convolutional neural network to establish a correlation model between the frame speed ratio and the severity of camber defects. During daily operation, a raw material quality screening protocol continuously monitors the edge damage risk of incoming steel coils, automatically triggering a high-precision full-width scan when the predicted strip breakage probability exceeds the limit. The economic benefit verification module simultaneously compares actual increased production with model predictions, dynamically optimizing the threading strategy parameters to form a preventative control closed loop.

[0147] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0148] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for controlling strip breakage in a cold continuous rolling mill, characterized in that: The method includes the following steps: S1. After the rolling mill stops, the location of the strip break is located and the strip condition parameters are detected using a three-dimensional scanning system; S2. Retain the tail strip inside the mill and simultaneously activate the stand linkage system; S3. Drive the strip at the head of the belt to move forward in the belt breakage frame linkage mode, so that the strip at the head of the belt forms a spatial coupling bridging structure above the tail of the belt. S4. Based on the bridging structure triggering the whole stand collaborative strip threading mechanism, guide the leading strip steel through the rolling mill unit; S5. Real-time monitoring of pressure distribution and strip deformation parameters in the bridging area; S6. After the strip is threaded to the coiler, the tail of the strip is automatically collected, and the rolling mill is started to resume production. S7. When the bridge offset is detected to exceed the safety threshold, the dynamic correction compensation system is activated. S8. Establish a tape threading efficiency optimization model based on historical tape breakage data and dynamically adjust the frame linkage parameters.

2. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: Step S1 includes: S11. Deploy laser displacement sensor arrays between rolling mill units to construct a three-dimensional thermal map of the strip breakage location in real time; S12. Collect residual stress distribution data of the strip steel at the tail end using a strain gauge; S13. Use a machine vision system to identify the sickle bend defect index and edge damage geometric parameters of the leading strip steel.

3. The method for controlling strip breakage in a cold rolling mill according to claim 1, characterized in that: Step S3 includes: S31. Set the speed gradient of the leading strip: inlet frame speed ≤ strip breakage frame speed ≤ outlet frame speed; S32. When the vertical radius of curvature of the tail strip is less than the preset critical value, the hydraulic lifting device is activated to assist in bridging. S33. The infrared thermometer monitors the temperature field of the bridging contact surface in real time to avoid local overheating and melting.

4. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: The collaborative strapping mechanism in step S4 includes: S41. An electromagnetic guide roller assembly is installed between frames F2 and F3 to generate an axial constraint magnetic field; S42. Apply micro-tension control to the bridging area to maintain the tension value in the range of 0.5-1.2kN; S43. Use an air pressure balancing device to eliminate the floating effect of strip steel between frames.

5. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: The dynamic correction and compensation system in step S7 includes: S71. Establish the functional relationship between the bridging offset δ and the corrective force: F c =k·e λ·δ ·g(v); Where F c δ represents the corrective force to be applied, k is the measured value of the real-time offset, λ is the system stiffness coefficient, g(v) is the deformation sensitivity factor, and g(v) is the strip speed compensation function. S72. When the offset δ is greater than 3mm, the wedge corrector driven by the servo motor is activated. The S73 laser rangefinder's closed-loop control corrector has a stroke accuracy of ±0.05mm.

6. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: The optimization model construction in step S8 includes: S81. Collect mapping data of historical strip breakage locations, strip defect types, and strip threading time; S82. Identify the correlation features between rack speed ratio and bridging success rate using convolutional neural networks; S83. Establish a dynamic priority matrix: P = α·L + β·D + γ·S; Where P represents the parameter optimization weight, L represents the camber defect level, D represents the strip breakage location coefficient, S represents the strip strength attenuation rate, and α, β, and γ are dynamic adjustment coefficients, α+β+γ=1; S84. Based on the weight matrix P, the rack linkage acceleration curve is corrected in real time.

7. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: It also includes safety control steps: S91. When the detected slippage of the tail strip is greater than 5mm, the vacuum adsorption fixing device is automatically triggered. S92. Install a strip steel attitude sensing module at the inlet of the coiler; S93. Upload tape breakage processing data to the cloud analysis platform in real time via the Industrial Internet of Things.

8. The method for controlling strip breakage in a cold rolling mill according to claim 1, characterized in that: The implementation of the method must meet the following collaborative indicators: S101, the strapping time is controlled within 15±1.5 minutes, and verified in real time through an efficiency optimization model; S102. The stability of the bridging structure must meet the technical requirement that the deformation rate of the steel strip is less than 0.3%. S103. The dynamic correction response time must complete the offset compensation within 500ms; S104, the annualized reduction in downtime due to faults must reach a benchmark of 60 minutes per 10,000 units of production capacity.

9. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: It also includes an economic efficiency optimization module: S111. Extract the tape threading time reduction value based on the historical tape breakage processing database, and dynamically output the increase in production capacity per tape breakage through the capacity gain calculation model: ΔQ=T s ×V p ×η; Where ΔQ represents the increased production from a single belt break treatment, and T s V represents the time savings. p η represents the production line baseline speed, and η represents the yield compensation coefficient. S112. When the real-time monitoring system detects that the monthly frequency of strip breakage reaches the preset threshold, the raw material quality screening protocol is automatically activated, triggering the high-precision sickle bend detector to perform a full-width scan of the steel coils entering the warehouse. S113. After completing the screening operation, start the economic benefit verification procedure, analyze the deviation between the actual increase in output and the model prediction value, and dynamically update the optimization weight factor of the compensation coefficient η.

10. The method for controlling strip breakage in a cold continuous rolling mill according to claim 1, characterized in that: The implementation of the method on a five-stand continuous rolling mill requires the following configuration: S121. An independently driven variable frequency speed control system is configured in racks F1-F5, with a speed response time ≤0.8 seconds and a torque fluctuation rate of less than 3%. S122, a six-degree-of-freedom bridging auxiliary robotic arm is installed in the gap between the F2 and F3 frames, with a repeatability of ±0.1mm. The end effector is equipped with a piezoelectric ceramic micro-force sensor. S123. A non-contact strip straightness online detector is installed 15 meters in front of the coiler, with a detection tolerance zone ≤1.5IU and a sampling frequency ≥100Hz; S124. During the bridging operation, a three-dimensional positioning compensation algorithm is activated to calibrate the spatial overlap between the head strip and the tail strip in real time, with the positioning deviation threshold set to ≤2.5mm. S125, the starting speed follower controller during the winding and biting process ensures that the relative speed difference when the lead enters the winding machine is less than 0.3m / s.

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