Strip steel transmission dynamic compensation sequence control integrated device
Through the strip transmission dynamic compensation sequential control integrated device, combined with the tension and speed detection module, tension feedforward prediction compensation and multi-line synchronous coordination are realized, solving the problems of excessive tension fluctuation and equipment wear in traditional sequential control solutions, and improving the stability of the production process and equipment efficiency.
Patent Information
- Application Number
- CN202510817318.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-18
- Publication Date
- 2025-09-12
AI Technical Summary
Traditional simple closed-loop or decentralized sequential control solutions can lead to excessive tension fluctuations, strip breakage, material wrinkling, and increased equipment wear during strip production due to response lag, coordination failure, or data asynchrony.
A strip drive dynamic compensation sequential control integrated device is designed. Combining a tension detection module, a speed detection module, a dynamic compensation control unit and a sequential control unit, it realizes tension feedforward predictive compensation and multi-line synchronous coordination through a cascade control loop, a predictive maintenance module and an energy feedback module, eliminates tension deviation, and improves control accuracy and equipment efficiency.
It achieves rapid suppression of tension deviation, improves tension fluctuation control accuracy, shortens response time, prevents equipment wear, improves production process stability, reduces unplanned downtime, and saves electricity costs.
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Figure CN120630853A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of strip steel transmission dynamic compensation, in particular to a strip steel transmission dynamic compensation sequential control integrated device. Background Art
[0002] Modern continuous strip production lines have extremely high requirements for tension control accuracy, especially in sudden starts and stops, sudden speed changes, or multi-stage switching processes. Traditional simple closed-loop or decentralized sequential control solutions often lead to excessive tension fluctuations, strip breakage, material wrinkling, and increased equipment wear due to response lags, coordination failures, or data asynchrony.
[0003] Patent CN111420997B discloses a method for controlling the width of the head of hot-rolled finished strip to prevent narrowing. The above patent achieves the greatest possible avoidance of the strip narrowing phenomenon caused by excessive or insufficient actual spacing between frames during strip threading.
[0004] The above patent avoids the strip narrowing phenomenon caused by excessive or insufficient actual spacing between frames during strip threading to the greatest extent by real-time intervention of the speed addition and the main transmission speed adjustment rate. However, it cannot eliminate the adverse effects of tension deviation on strip transmission during the strip production process.
[0005] To this end, this application proposes a strip transmission dynamic compensation sequential control integrated device that superimposes tension feedforward prediction compensation on the basis of a speed closed loop and uses error derivatives to quickly suppress tension deviations. Summary of the Invention
[0006] The purpose of the present invention is to provide an integrated device for dynamic compensation and sequential control of strip transmission to solve the technical problems that the traditional simple closed-loop or distributed sequential control schemes proposed in the above background technology often lead to excessive tension fluctuations, strip breakage, material wrinkling and increased equipment wear due to response lag, coordination failure or data asynchrony.
[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a strip transmission dynamic compensation sequential control integrated device, comprising a tension detection module M1, a speed detection module M2, a dynamic compensation control unit C1 and a sequential control unit C2, wherein the tension detection module M1 is used to collect the strip tension signal in real time, and the speed detection module M2 is used to collect the speed signals of each transmission motor in real time. The dynamic compensation control unit C1 connects the tension detection module M1 and the speed detection module M2 with a digital bus, calculates the feedforward compensation amount based on the deviation between the tension signal and the preset target tension through a model prediction algorithm, and generates a closed-loop tension adjustment instruction, and the sequential control unit C2 and the dynamic compensation control unit C1 exchange data through a real-time Ethernet communication interface, and generates motor start-stop, acceleration, deceleration and tension section switching instructions according to the preset state machine logic and process flow sequence.
[0008] Preferably, the dynamic compensation control unit C1 further includes:
[0009] Tension-velocity model library, which stores dynamic response models for different strip materials and thicknesses;
[0010] The self-learning module uses the gradient descent algorithm to iteratively update the parameters of the tension-velocity model library based on the tension and velocity data collected online;
[0011] Cascade control loop, the inner loop is speed closed-loop control, the outer loop is tension closed-loop control, and the dynamic compensation unit uses FIFO buffering to achieve data flow isolation and synchronization between tension error and speed command.
[0012] Preferably, the integrated device also includes a predictive maintenance integrated module PM. The predictive maintenance integrated module PM collects signals from key parts through vibration sensors and temperature sensors, converts the collected analog quantities through A / D conversion, and transmits them to the predictive maintenance integrated module PM hub through the CAN bus. The predictive maintenance integrated module PM hub extracts fault features based on wavelet packet decomposition and convolutional neural network models, and pushes maintenance suggestions in the form of curves and event logs through the human-machine interface HMI.
[0013] Preferably, the integrated device also includes a multi-line synchronization coordination module SC, which synchronizes the clocks of the main controllers of each line through the IEEE1588 protocol, and dynamically calculates the load distribution coefficient according to the action sequence table based on the speed signal and tension signal of each line, and sends the distribution instructions to the dynamic compensation control unit C1 of each line through ModbusTCP.
[0014] Preferably, the integrated device also includes an energy feedback and reuse module ER, which includes a regenerative braking inverter, which distributes the DC bus energy fed back by the execution drive module D to the local energy storage device and the factory DC bus through the PLC control unit, and switches to the public power grid through the circuit breaker when the bus voltage exceeds the limit.
[0015] Preferably, the sequential control unit C2 includes a state machine engine and a conflict arbitration module. The state machine engine defines several states and transition conditions between states according to the process stage. The conflict arbitration module compares multiple instructions arriving at the same time according to priority, resource occupancy table and timestamp, and feeds back the arbitration results to the scheduling queue of the sequential control unit C2.
[0016] Preferably, the execution drive module D includes a plurality of servo drivers supporting EtherCAT and Profinet, which respectively drive corresponding motors and receive tension compensation instructions from the dynamic compensation control unit C1 and sequence control instructions from the sequence control unit C2.
[0017] Preferably, the human-machine interface HMI is equipped with trend curve display, historical data backtracking and remote diagnosis interface:
[0018] The trend curve module uses the timestamp as the horizontal axis and the tension, speed and drive current signals as the vertical axis;
[0019] The historical data backtracking module supports retrieval by time period and event tag, and displays it in pagination through the database query engine;
[0020] The remote diagnosis interface is interconnected with the factory-level MES system via VPN, enabling two-way synchronization of fault logs and maintenance reports.
[0021] Preferably, the integrated device also includes an interlocking and redundant switching module SL, which collects emergency stop button and safety grating status signals through dual-channel I / O. When any channel detects a dangerous state, the interlocking and redundant switching module SL preferentially disconnects the drive module to put the equipment into a safe shutdown, and broadcasts the shutdown signal to all control nodes through the redundant network.
[0022] Preferably, the communication between each module and unit in the integrated device adopts CRC check and heartbeat message mechanism to ensure data integrity and node online status. When message loss and timeout > 50ms are detected, the sequence control unit C2 triggers a safety shutdown and generates a fault code on the human-machine interface HMI;
[0023] All control logic, state machines, model parameters, and historical operating data within the integrated device are stored in a removable solid-state drive. When the solid-state drive is removed and connected to the engineer's PC, configuration information in XML format can be exported and imported using a dedicated upgrade tool, enabling rapid maintenance, backup, and replication.
[0024] Compared with the prior art, the present invention has the following beneficial effects:
[0025] 1. This invention utilizes cascaded feedforward and closed-loop dynamic compensation to superimpose tension feedforward prediction compensation on the basis of the speed closed-loop. It uses error derivatives to quickly suppress tension deviations, eliminating the drawbacks of traditional pure PID control, such as slow response to sudden changes and large overshoot, thereby improving tension fluctuation control accuracy and shortening response time.
[0026] 2. The present invention uses a five-state sequential state machine collaborative control to achieve automatic switching according to conditions and real-time arbitration of parallel instructions, preventing startup conflicts, parameter competition and process step loss when multiple motors are connected in parallel, improving the overall efficiency of the equipment and ensuring a smooth and race-free production process.
[0027] 3. This invention utilizes nanosecond-level bus synchronization and multi-line coordination to implement a multi-line load distribution strategy based on tension-to-power ratio. This eliminates asynchronous compensation and tension imbalance caused by inter-row and inter-module clock drift, reduces the maximum tension difference in dual-line coordination tests, and improves overall production line stability.
[0028] 4. The present invention integrates online predictive maintenance and energy feedback management to achieve fault identification and dynamic allocation of feedback energy, solving the problems of traditional maintenance relying on post-inspection and energy waste without recovery, improving the accuracy of fault warning, reducing unplanned downtime, and saving electricity costs. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 Schematic diagram of the integrated system structure framework of the present invention;
[0030] Figure 2 This is a schematic diagram of the dynamic compensation control flow of the present invention;
[0031] Figure 3 Schematic diagram of the state machine sequential control process of the present invention;
[0032] Figure 4 This is a schematic diagram of fault diagnosis data processing according to the present invention;
[0033] Figure 5 Schematic diagram of multi-line power coordination and energy feedback control according to the present invention. DETAILED DESCRIPTION
[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0035] Example 1
[0036] See also Figure 1 and Figure 2, a strip drive dynamic compensation sequential control integrated device, M1: a stack of torque tension sensors are installed on each upstream and downstream sampling roller. After analog pre-amplification, filtering, and A / D conversion, the four tension signals are connected to the PLC's high-speed analog input card via coaxial shielded cables; M2: an incremental encoder is installed at the end of each servo motor shaft. The TTL pulse signal passes through an optoelectronic isolator and is sent to the PLC's high-speed pulse counting module; C1: deployed in the main control PLC, the M1 and M2 signals are collected at a 10ms cycle, and the real-time tension error is calculated based on the second-order inertia model and RLS. Line identification calculates the feedforward compensation value ΔV, generating a speed increment command V' = V0 + ΔV. C2: Implemented as a function block within the same PLC program as C1, using STEP-7's SFC to define five process states: idle run, acceleration, steady speed, deceleration, and shutdown. State transitions are triggered by signals such as tension, speed, and product length. D: The PLC communicates with four servo drives via an EtherCAT master, sending V' and C2 state commands every 10ms. The drives' internal PID controllers follow the command, with a current loop response period of 125us. The HMI: WinCC on an IPC, connected to the PLC via Profinet, displays four tension curves, four motor speeds, and system status in real time, and allows for online parameter adjustment.
[0037] Idle running state: C2 issues D idle running command, and the system tension target is set to 0;
[0038] Acceleration stage: When the loading mechanism is ready, C2 switches to the acceleration state, and C1 feedforward acceleration compensation to ensure that the tension rises steadily;
[0039] Steady speed stage: After reaching the set belt speed, it enters the steady speed state, and C1 closed-loop tension control and feedforward compensation are carried out in parallel;
[0040] Slow down and stop: after receiving the linkage signal, the speed will be reduced according to the process sequence until the tension is set to zero and the machine stops;
[0041] The operator clicks "System Initialization" on the HMI. After receiving the startup command, the PLC controls C2 to complete the initial self-test, and sequentially checks the tension sensor signal input, motor position feedback signal, power supply status, and EtherCAT communication status.
[0042] C2 sets the tension target to 0, and C1 does not output compensation instructions;
[0043] The D module drives the motor to idle at low speed, the feeding section and the tension detection section maintain the minimum speed limit, and the tension sensor begins to collect the initial tension value. If the tension fluctuation is greater than ±5N, it is considered that the system is not tensioned, and a prompt is given to adjust the feeding mechanism;
[0044] Set the target idle speed on the HMI, such as 60m / min, the C2 state machine switches to "acceleration", and C1 obtains the current tension T a , target tension T0, calculation error ΔT=T0-T a , use the predictive control formula to calculate the feedforward quantity: ΔV=K p ×ΔT+K d ×d(ΔT) / dt, where K p =0.015, K d =0.008, dynamically updated every 10ms, the calculated speed command V1=V0+ΔV is sent to the corresponding servo driver via EtherCAT to adjust the motor speed in real time;
[0045] C1 enters closed-loop regulation mode, with PID and feedforward acting simultaneously. If the tension sensor fluctuates but the rate of change is less than 0.2N / ms, integral regulation is used to suppress perturbations. C2 detects the product's running length, entering a sampling window every 5m, and storing the speed, tension, and load current in a loop buffer.
[0046] Receive a stop command from the operator or upper-level MES; C2 slowly reduces the target speed according to the state logic, and C1 maintains tension without collapse compensation; a stop command is issued after the tension is less than 2N and the speed is less than 0.5m / min; all execution modules stop, and the data cache is packaged into the HMI database.
[0047] Example 2
[0048] See also Figure 3 A strip drive dynamic compensation sequential control integrated device is provided. Based on Example 1, a PM is added: a three-axis vibration sensor and a PT100 temperature sensor are respectively arranged at the main motor and the key heavy roller bearing seat. The analog signals are collected into independent A / D modules and transmitted to the PM industrial PC via the CAN bus. The PM industrial PC is installed with a Python real-time analysis program and receives 50Hz vibration and 1Hz temperature data per second.
[0049] Feature extraction: Vibration data is decomposed by wavelet packets to extract the energy distribution feature vector E=[E1,E2,...,E8]; the slope ΔT / Δt of the temperature curve is calculated;
[0050] Fault identification: The feature vector is input into a pre-trained CNN model, which outputs the probabilities of five typical faults, including bearing wear, shaft runout, and motor imbalance.
[0051] When the probability of a certain fault is greater than 0.7, the PM generates structured data of "warning-component name-recommended maintenance date" and pushes it to the HMI event log via OPC-UA;
[0052] The triaxial accelerometer outputs an analog signal with a sampling rate of 10kHz. The analog signal is sent to the industrial A / D acquisition card through the pre-filter module. The sampled data is packaged into data blocks with a frame length of 500ms and transmitted to the PM via the CAN bus.
[0053] The PM performs wavelet packet decomposition every second, extracting the energy of each frequency band: Feature Vector = [E1, E2, ..., E8]. The temperature sensor output is updated every 2 seconds, using a sliding window average method for noise reduction. The combined feature vectors are input into a CNN model, which includes probability scores for five typical fault conditions. If a fault score is greater than 0.8, the PM automatically generates an alarm data structure and writes it to the HMI alarm register via Modbus RTU.
[0054] Example 3
[0055] See also Figure 4 A strip steel transmission dynamic compensation sequential control integrated device is based on Examples 1 and 2 and is extended to two strip steel production lines A and B. The coordinated control is as follows: the PLCs of lines A and B are each connected to the IEEE1588 precision time protocol slave station, and the workshop switch is used as the PTP master clock. The synchronization deviation is less than 100ns per second. Lines A and B each report to the SC master station PLC every 10ms to check the current line speed V a 、V b and tension T a 、T b ;
[0056] Load factor calculation: SC master station uses the formula α=T a ·V a / (T a ·V a +T b ·V b ), β=1-α;
[0057] Where α and β are power allocation ratios;
[0058] α and β, as well as the start and stop timestamps of the next process, are sent to each PLC via ModbusTCP. C1 automatically adjusts the feedforward compensation weight based on the received α and β to achieve multi-line tension synchronization.
[0059] The master PLCs of production lines A and B are each equipped with an IEEE1588 protocol slave chip, and the PTP master switch broadcasts a time calibration frame every second. The PLC system core time synchronization error is controlled within 100ns, ensuring consistent event marking accuracy.
[0060] Each production line reports the current line speed V and tension T to the SC master station every 10ms, and the SC calculates the power index of each line: P line=T×V, get the power ratio of each line, and calculate the load adjustment factor: α=P A / (P A +P B );
[0061] If α>0.6, it means that the load on line A is too heavy. The SC sends an instruction to reduce the feedforward coefficient of the motor on line A from 0.95 to 0.9, and increase it to 1.05 on line B. If the start / stop time interval between the two lines is less than 10s, the SC broadcasts the next action timestamp to the A / B line PLCs simultaneously through ModbusTCP, and presets the C2 switching time difference Δt=3s to buffer the system inertia difference.
[0062] Example 4
[0063] See also Figure 5 A strip steel transmission dynamic compensation sequential control integrated device is based on Example 3 and adds an ER. A regenerative braking inverter is connected in parallel to the servo drive DC bus. The inverter output is connected to the local 200V DC bus and a 50kW lithium battery energy storage device, and is connected to the factory DC bus through a bidirectional converter cabinet. The inverter control unit communicates with the PLC via Modbus RTU and reports the bus voltage Vdc and feedback power Prec every 100ms.
[0064] When Prec>0, the PLC will first distribute energy to the local energy storage, and then send it to the plant bus after the energy storage is full;
[0065] If the bus voltage is greater than 210V, the PLC commands the circuit breaker to give priority to transmitting the feedback energy to the public grid interface;
[0066] All switching events and electrical quantity changes are displayed in real time through HMI trend curves and archived in the database;
[0067] All servo drives send bus voltage Vdc and feedback current Irec to the PLC controller every 100ms. The PLC calculates instantaneous power Prec = Vdc × Irec. If Prec > 3kW and lasts > 1s, it is considered a "feedback event."
[0068] If the local energy storage SOC is less than 90%, the feedback power will be supplied to the lithium battery pack first; if the energy storage SOC is ≥90%, it will be switched to the workshop DC bus; if the bus voltage rises to the set upper limit, the PLC will issue a command to close the relay and send excess energy to the public grid;
[0069] All current and voltage signals are redundantly sampled twice and averaged to prevent spikes from causing false triggers. The energy flow path and key node parameters are displayed synchronously in the HMI in animation / digital form and written into the "energy history library."
[0070] Example 5
[0071] See also Figure 5 A strip steel transmission dynamic compensation sequential control integrated device, based on Example 4, strengthens remote maintenance and configuration management: all PLC and PM system configurations are stored on a removable SSD. When the SSD is inserted into the USB port of an engineer's laptop, a dedicated tool automatically mounts and reads the XML format configuration file, supporting the "export-modify-import" process; the HMI establishes a VPN tunnel with the plant-level MES system through the built-in OpenVPN client, port 1194; three topics, "device status," "maintenance log," and "configuration change," are published and subscribed to via the MQTT protocol, enabling real-time interaction with the cloud diagnostic platform. All remote operations are recorded in the SSD log area, and an audit playback function is provided on the HMI;
[0072] All PLC control logic, model parameters, and HMI screen data structures are stored in the SML standard format. A dedicated configuration management tool automatically identifies SSD devices, verifies the integrity of configuration files through CRC, and allows engineers to modify and upload them synchronously.
[0073] After the HMI's embedded VPN client is started, it establishes an encrypted channel with the upper-level server. The MQTT client subscribes to topics and periodically pushes operating status, alarm history, and maintenance logs. Engineers can issue new models or configurations through the web console, and the system receives them and hot-switches logic blocks during low-load time windows, enabling non-stop updates.
[0074] Working Principle: The integrated device uses a tension detection module to collect strip tension signals in real time and compares them with the preset target tension to determine the tension error. The dynamic compensation control unit utilizes a cascade control structure—an outer tension closed loop and an inner speed closed loop—to perform PID+feedforward predictive compensation on the error, generating speed correction commands to achieve precise adjustment and stable control of strip tension.
[0075] The sequential control unit uses a predefined five-state state machine to conditionally transition between states based on multiple signals such as tension, speed, process length, and external commands. Each state corresponds to a different speed target and tension target curve, ensuring smooth transition and precise connection between the strip process stages.
[0076] Each detection module, control unit and execution drive module are interconnected through the EtherCAT real-time bus, and CRC check and heartbeat mechanisms are used to ensure data integrity and node online status. When multiple production lines or multiple modules work together, nanosecond-level alignment between subsystems is achieved through the IEEE1588 clock synchronization protocol to ensure the synchronous execution of tension compensation and sequential control logic across modules.
[0077] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.
Claims
1. A strip transmission dynamic compensation sequence control integrated device, comprising a tension detection module M1, a speed detection module M2, a dynamic compensation control unit C1, and a sequence control unit C2, characterized in that: The tension detection module M1 is used to collect the strip tension signal in real time, and the speed detection module M2 is used to collect the speed signals of each transmission motor in real time. The dynamic compensation control unit C1 connects the tension detection module M1 and the speed detection module M2 with a digital bus. Based on the deviation between the tension signal and the preset target tension, the feedforward compensation amount is calculated through the model prediction algorithm, and a closed-loop tension adjustment instruction is generated. The sequential control unit C2 and the dynamic compensation control unit C1 exchange data through a real-time Ethernet communication interface, and generate motor start-stop, acceleration, deceleration and tension section switching instructions according to the preset state machine logic and process flow sequence.
2. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The dynamic compensation control unit C1 further includes: Tension-velocity model library, which stores dynamic response models for different strip materials and thicknesses; The self-learning module uses the gradient descent algorithm to iteratively update the parameters of the tension-velocity model library based on the tension and velocity data collected online; Cascade control loop, the inner loop is speed closed-loop control, the outer loop is tension closed-loop control, and the dynamic compensation unit uses FIFO buffering to achieve data flow isolation and synchronization between tension error and speed command.
3. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The integrated device also includes a predictive maintenance integrated module PM. The predictive maintenance integrated module PM collects signals from key parts through vibration sensors and temperature sensors, converts the collected analog quantities through A / D conversion, and transmits them to the predictive maintenance integrated module PM hub through the CAN bus. The predictive maintenance integrated module PM hub extracts fault features based on wavelet packet decomposition and convolutional neural network models, and pushes maintenance suggestions in the form of curves and event logs through the human-machine interface HMI.
4. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The integrated device also includes a multi-line synchronization coordination module SC, which synchronizes the clocks of the main controllers of each line through the IEEE1588 protocol, and dynamically calculates the load distribution coefficient according to the action sequence table based on the speed signal and tension signal of each line, and sends the distribution instructions to the dynamic compensation control unit C1 of each line through ModbusTCP.
5. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The integrated device also includes an energy feedback and reuse module ER, which includes a regenerative braking inverter. The module distributes the DC bus energy fed back by the drive module D to the local energy storage device and the plant DC bus through the PLC control unit, and switches to the public power grid through a circuit breaker when the bus voltage exceeds the limit.
6. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The sequential control unit C2 includes a state machine engine and a conflict arbitration module. The state machine engine defines several states and transition conditions between states according to the process stage. The conflict arbitration module compares multiple instructions arriving at the same time according to priority, resource occupancy table and timestamp, and feeds back the arbitration results to the scheduling queue of the sequential control unit C2.
7. The strip transmission dynamic compensation sequential control integrated device according to claim 5, characterized in that: The execution drive module D includes multiple servo drivers supporting EtherCAT and Profinet, which respectively drive corresponding motors and receive tension compensation instructions from the dynamic compensation control unit C1 and sequence control instructions from the sequence control unit C2.
8. The strip transmission dynamic compensation sequential control integrated device according to claim 3, characterized in that: The human-machine interaction interface (HMI) is equipped with trend curve display, historical data backtracking and remote diagnosis interface: The trend curve module uses the timestamp as the horizontal axis and the tension, speed and drive current signals as the vertical axis; The historical data backtracking module supports retrieval by time period and event tag, and displays it in pagination through the database query engine; The remote diagnosis interface is interconnected with the factory-level MES system via VPN, enabling two-way synchronization of fault logs and maintenance reports.
9. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The integrated device also includes an interlocking and redundancy switching module SL, which collects emergency stop button and safety grating status signals through dual-channel I / O. When any channel detects a dangerous state, the interlocking and redundancy switching module SL preferentially disconnects the drive module to put the equipment into a safe shutdown, and broadcasts the shutdown signal to all control nodes through the redundant network.
10. The strip transmission dynamic compensation sequential control integrated device according to claim 1, characterized in that: The communication between each module and unit in the integrated device adopts CRC check and heartbeat message mechanism to ensure data integrity and node online status. When message loss and timeout > 50ms are detected, the sequential control unit C2 triggers a safety shutdown and generates a fault code on the human-machine interface HMI; All control logic, state machines, model parameters, and historical operating data within the integrated device are stored in a removable solid-state drive. When the solid-state drive is removed and connected to the engineer's PC, configuration information in XML format can be exported and imported using a dedicated upgrade tool, enabling rapid maintenance, backup, and replication.
Citation Information
Patent Citations
Constant tension control device of submerged pipeline laying equipment and method thereof
CN102359662A
Tension roll control device for plate and strip processing line and tension control method
CN103072841A
Feed-forward control-based winding tension control method for a winding drum coating machine
CN113515046A
Feed-forward compensation method and system for inlet tension through cold rolling mill feed-forward thickness control
CN115318850A
Compensation method and system for strip steel rolling tension of tandem cold mill
CN118988995A
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