DES formula intelligent regulation and control system and method based on multi-parameter dynamic balance

Abstract

The invention provides a DES formula intelligent regulation and control system and method based on multi-parameter dynamic balance. The method comprises the following steps: multiple paths of PLCs are concurrently connected through a multi-thread communication module to form a PLC cluster; the edge layer is used for carrying out protocol conversion on the process parameters and then sending the process parameters to the application layer, and carrying out local judgment on whether line width data is out of tolerance or not through edge calculation; the upper computer is used for carrying out data processing and analysis on technological parameters and then writing the technological parameters into the data center, the data center is used for storing DES formulas and historical and current data, and the dynamic balance engine constructs a parameter coupling model and is used for calling the historical and current data and carrying out decision calculation according to the parameter coupling model; and generating a regulation and control instruction and issuing the regulation and control command to the PLC cluster through the upper computer. The DES formula intelligent regulation and control system based on multi-parameter dynamic balance can achieve the effects of full-process automation of line width detection, multi-parameter dynamic balance regulation and control, large-capacity data storage and data traceability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial automation control, and in particular to a DES formula intelligent regulation and control system and method based on multi-parameter dynamic balance. BACKGROUND

[0002] In the current production scene of continuous DES engineering of chemical lines, the automatic and continuous production process of the three major processes of developing, etching and stripping is realized through continuous chemical process, so as to achieve the goal of fine chemical production. However, the existing DES system still has the following problems: first, manual intervention leads to low system reliability. In the production process of the DES system of the PCB board, the existing line width detection and qualified judgment full process depends on the visual confirmation and paper record of the operator, which is not only low in efficiency, but also has high misjudgment rate due to the existence of eye recognition error and environmental interference, which directly affects the product yield. Second, single parameter adjustment will lead to secondary deviation of the system, such as developing acceleration leading to decrease of material viscosity, at this time, if only the speed is reduced without controlling the developing tank pressure, excessive etching under large pressure will make the substrate film thinned, and the etching ability is decreased when entering the etching tank. Third, the data storage capacity is seriously insufficient. The process condition parameters in the DES formula, such as developing spray pressure, etching speed and high-precision line width measurement data, are limited by the local memory capacity of the equipment, and the historical data cannot be saved for a long time, which leads to the system to rely on fragmented experience records when selecting conditions, and the risk of parameter misuse is significantly increased. Fourth, the system lacks an abnormal traceability mechanism. The abnormal information of the equipment during operation is frequently lost due to the lack of centralized storage architecture, such as pressure mutation, valve fault code and memory state, and fault checking needs to check multiple source scattered logs, which is time-consuming and laborious, and seriously affects the troubleshooting efficiency and production continuity.

[0003] Therefore, there is an urgent need for a DES formula intelligent regulation and control system and method which can realize line width detection full process automation, multi-parameter dynamic balance regulation and control, large-capacity data storage and data traceability. SUMMARY

[0004] In order to solve the problems existing in the prior art, the purpose of the present application is to provide a DES formula intelligent regulation and control system and method based on multi-parameter dynamic balance, so as to realize line width detection full process automation, multi-parameter dynamic balance regulation and control, large-capacity data storage and data traceability.

[0005] The present application realizes the above-mentioned purpose through the following technical solutions: The application discloses a DES formula intelligent regulation and control system based on multi-parameter dynamic balance, which comprises a device layer, an edge layer and an application layer.

[0006] According to the DES formula intelligent regulation and control system based on multi-parameter dynamic balance, the multi-thread communication module comprises at least two servers and a multi-thread communication component, each server is connected with multiple PLC controllers through the multi-thread communication component, and is provided with a load balancing mechanism and a fault transfer mechanism.

[0007] According to the DES formula intelligent regulation and control system based on multi-parameter dynamic balance, the multi-thread communication module adopts a Modbus communication protocol, and the server cluster is of a master-slave type architecture.

[0008] The master and standby nodes of the server cluster adopt a heartbeat detection mechanism, the heartbeat detection mechanism is used for periodically sending state packets, and if a timeout response is not received, the fault transfer mechanism is triggered.

[0009] According to the DES formula intelligent regulation and control system based on multi-parameter dynamic balance, the edge layer adopts an edge gateway, and the edge gateway is used for converting received Modbus TCP protocol data into MQTT protocol data and pushing the MQTT protocol data to the application layer.

[0010] The edge gateway is provided with a local cache strategy based on a SQLite temporary table, which is used to cache the Modbus TCP protocol data through the SQLite temporary table when communication is interrupted.

[0011] The edge layer further comprises an identification code PC, which is connected with a code scanning gun, is used to bind data of a unique batch identification code generated by scanning the code scanning gun with a current DES formula version and device parameters, generate a current batch data packet, and send the current batch data packet to the application layer through the edge gateway.

[0012] The upper computer accesses the DES formula system through an office network, and is used to send execution deviation data obtained by comparing and calculating the process parameters with formula target values to the DES formula system, and the DES formula system adjusts the DES formula according to the execution deviation data.

[0013] The parameter coupling model comprises a pressure coupling model, a chemical reaction coupling model and a production timing coupling model, coupling parameters of the pressure coupling model comprise developing spray pressure, etching spray pressure, spray pipe flow and pressure-flow coefficient, coupling parameters of the chemical reaction coupling model comprise pickling pressure, rust prevention pressure, etching switch and reaction rate, and coupling parameters of the production timing coupling model comprise air knife pressure, production speed and mechanical delay.

[0014] An ultra-low-cost DES formula intelligent control method based on multi-parameter dynamic balance, applied to the DES formula intelligent control system based on multi-parameter dynamic balance, comprises: The DES formula system analyzes formula parameters according to a production plan pushed by a data center, generates a DES formula, and sends a control command to a PLC cluster through an upper computer.

[0015] The upper computer compares and calculates real-time collected process parameters with formula target values, and obtains execution deviation data.

[0016] The dynamic balance engine performs decision calculation on the process parameters according to the parameter coupling model, obtains coupling parameters of the process parameters and their joint debugging values, packs the execution deviation data and the joint debugging values to generate a control instruction.

[0017] The upper computer sends a control command to the PLC cluster according to the control instruction.

[0018] According to the DES formula intelligent regulation and control method based on multi-parameter dynamic balance provided by the application, the dynamic balance engine is provided with a regulation and control decision condition, that is, when any process parameter is out of tolerance and the deviation rate of the coupled parameter is greater than 5%, multi-parameter linkage adjustment calculation is started and the linkage adjustment value is generated.

[0019] Therefore, compared with the prior art, the DES formula intelligent regulation and control system can realize the beneficial effects of line width detection full-process automation, multi-parameter dynamic balance regulation and control, large-capacity data storage and data traceability.

[0020] The application will be described in further detail below in combination with the drawings and specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 is a network connection diagram of an embodiment of the DES formula intelligent regulation and control system based on multi-parameter dynamic balance.

[0022] Figure 2 is a data transmission diagram of an embodiment of the DES formula intelligent regulation and control system based on multi-parameter dynamic balance.

[0023] Figure 3 is a system diagram of an embodiment of the DES formula intelligent regulation and control system based on multi-parameter dynamic balance.

[0024] Figure 4 is a network connection diagram of an embodiment of the DES formula intelligent regulation and control system based on multi-parameter dynamic balance, in which Modbus RDC and PLC controller communication is used.

[0025] Figure 5 is a flowchart of a DES formula intelligent regulation and control method based on multi-parameter dynamic balance with ultra-low cost. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme and advantages of the application clearer, the technical scheme in the application will be described clearly and completely below in combination with the drawings in the application. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0027] Reference to an "example" in this text means that a particular feature, structure, or characteristic described in connection with the example can be included in at least one example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same example, nor are they necessarily mutually exclusive or alternative examples to one another. It is expressly understood that the examples described herein can be combined with each other in their various permutations.

[0028] Reference to an "example" in this text means that a particular feature, structure, or characteristic described in connection with the example can be included in at least one example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same example, nor are they necessarily mutually exclusive or alternative examples to one another. It is expressly understood that the examples described herein can be combined with each other in their various permutations. Figures 1-2 The application provides a DES formula intelligent regulation and control system based on multi-parameter dynamic balance, which comprises a device layer 10, an edge layer 20 and an application layer 30. The device layer 10 comprises a multi-channel PLC controller and a multi-thread communication module. The multi-channel PLC controller is connected in parallel through the multi-thread communication module to form a PLC cluster, which is used for device-level control according to a DES formula, real-time collection of process parameters of each instrument terminal and real-time monitoring of line width, and transmission of the process parameters and line width data to the edge layer 20 through the multi-thread communication module. The edge layer 20 is used for transmitting the process parameters to the application layer 30 after protocol conversion, and locally determining whether the line width data is out of tolerance through edge computing. The application layer 30 comprises a host computer, a data center 32 and a dynamic balance engine 33. The host computer is used for writing the data processed and analyzed by the process parameters into the data center 32. The data center 32 is used for storing the DES formula, historical and current data. The dynamic balance engine 33 is provided with a parameter coupling model, which is used for calling the historical and current data and making decision calculation according to the parameter coupling model, generating a regulation and control instruction and issuing the regulation and control command to the PLC cluster through the host computer.

[0029] Specifically, the parameters of the DES formula in the embodiment include but are not limited to production speed, developing spray pressure, pre-etching spray pressure, post-etching spray pressure, film-removing spray pressure, film-removing cleaning spray pressure, post-peeling water washing pressure, pickling pressure, anti-rust pressure, air knife pressure, spray tube flow and etching switch.

[0030] Specifically, the host computer in the embodiment adopts an MES terminal PC 31, and is connected with a human resource management system, a formula system, a two-dimensional code traceability module and an instrument data module, which are used for production execution system operation end, manual formula auditing and task triggering. The human resource management system synchronizes formula execution progress with the MES terminal PC 31, and is used for updating work order state. The formula system is the core of production full life cycle management. The two-dimensional code traceability module associates batch full elements including but not limited to process parameters, abnormal records, operators and the like by scanning codes with a code scanning gun, and can check formula parameter execution records by scanning codes. The instrument data module converts instrument analog signals into structured data, and stores the structured data in the database of the MES terminal PC 31.

[0031] Specifically, the implementation process of the chemical line continuous DES engineering in the embodiment is as follows: the data center 32 issues a production plan to a formula system, the formula system analyzes formula parameters of the production plan, generates a DES formula, and automatically issues the DES formula to a production device through a DES formula intelligent control system, the device automatically produces according to the DES formula, and if the DES formula is inconsistent with the production process, a warning is popped up and the device is stopped.

[0032] The chemical line continuous DES engineering can automatically switch different DES formulas through the DES formula intelligent control system when different products are produced, and the improvement of DES item switching operation CT is tested, and the testing process is as follows: The single item switching condition is set as follows: before improvement, 2278 seconds, after improvement, 1347 seconds, and reduction of 931 seconds; the average manufacturing switching is set to 8 times per day, and more than 4 times in each column, so that the daily reduction is 931*8=7448 seconds. The test results are as follows: the daily output of the DES formula system before and after improvement: before improvement, 7965 sheets per day, after improvement, 8723 sheets per day, and the output is increased by 758 sheets.

[0033] Referring to Figure 3 Specifically, the system data transmission process is explained by taking a spray pump frequency converter and an etching valve device as an example: the application layer 30 sends a control instruction to the edge gateway 21, the edge gateway 21 converts the control instruction into Modbus TCP protocol data and transmits it to the main PLC controller; the main PLC controller controls the signal according to the type of the control instruction: the analog output drives the spray pump frequency converter, the flow rate / pressure of the spray pipeline is changed through mechanical adjustment; the digital output controls the start and stop of the etching liquid valve, and the injection state of the etching tank is operated after logical judgment.

[0034] In the embodiment, the multi-thread communication module includes at least two servers and a multi-thread communication component, each server is connected with multiple PLC controllers through the multi-thread communication component, and is configured with a load balancing mechanism and a failover mechanism, the concurrent requests of the PLC controllers are automatically distributed to multiple servers or threads through the load balancing mechanism, and the concurrent requests of the PLC controllers are automatically forwarded from the fault server or thread to the non-fault server or thread through the failover mechanism.

[0035] Specifically, the multi-thread communication module is provided with a load balancer, which monitors the CPU / memory of the server in real time and guides the new PLC controller connection to the node with lower load.

[0036] Specifically, the embodiment supports register reading and writing of mainstream PLCs such as Siemens S7, Mitsubishi FX / Q series, etc. by developing a multi-thread communication component, such as coil state, holding register value.

[0037] Specifically, the embodiment collects running data of the PLC controller, such as the current recipe version, device status code, etc., and dynamically displays the interface and data anomaly warning on the host computer, such as flashing prompt for parameter out-of-tolerance.

[0038] In the embodiment, the multi-thread communication module adopts the Modbus communication protocol, and the server cluster is of a master-slave architecture, which is used to establish a communication connection between the host computer of the master station and the PLC cluster through the Modbus TCP protocol, and transmit the process parameters and line width data output by the slave station PLC controller in the Modbus TCP protocol data.

[0039] Specifically, the embodiment supports concurrent connection of ≥200 PLCs by building a double-server MB1\MB2 of a master-slave architecture mode.

[0040] Specifically, the master node of the double-server is used to process real-time requests of the PLC controller, and the standby node is used to continuously monitor the state of the master node and synchronize data.

[0041] Referring to Figure 4 Specifically, the embodiment can also use the Modbus RDC protocol to communicate with the PLC controller based on Modbus RDC, and acquire process parameters through a register data collector. Users can maintain DES related data through the DES management software IS APP, and communicate the client data and the data center 32 through the RDCAPI interface, and realize slave data display through the Dashboard API interface, wherein the slave data refers to a copy of the master database synchronized by the server slave database in the master-slave architecture.

[0042] The master and standby nodes of the server cluster adopt a heartbeat detection mechanism, which is a periodic state packet sending mechanism. If there is no response after timeout, the failover mechanism is triggered.

[0043] Specifically, the heartbeat detection mechanism of the embodiment is that a dedicated heartbeat data line sends a state packet every second, and if the response times out, it is determined as no response. When the master node fails, the standby node takes over the PLC IP address and service of the fault point, and synchronizes the data changes of the master node to the standby node in real time, and the PLC controller communication is maintained through the Modbus TCP connection.

[0044] The server and PLC controller are connected via PLC IP binding, ensuring that continuous requests from the same PLC are always processed by the same server during normal operation, thus avoiding data corruption.

[0045] In this embodiment, the edge layer 20 uses an edge gateway 21, which is used to convert the received Modbus TCP protocol data into MQTT protocol data and push it to the application layer 30.

[0046] Specifically, in this embodiment, the edge layer 20 can also be a switch. By deploying edge computing nodes on the switch side close to the PLC controller, the real-time linewidth data is locally determined to be out of tolerance, and only the determination result is uploaded to the application layer 30.

[0047] Specifically, in this embodiment, the edge layer 20 is provided with an interruption detection mechanism and a breakpoint resumption mechanism. The interruption detection mechanism is used to detect whether a communication interruption has occurred, and the breakpoint resumption mechanism is used to rebuild the connection and locate the breakpoint after communication is restored.

[0048] The interruption detection mechanism is as follows: the edge gateway 21 sends three consecutive requests at 100ms intervals. If no response is received from the device, it is determined that the communication is interrupted, and a communication interruption alarm is triggered and the precise interruption timestamp is recorded. For example, if the recorded timestamp is 15:30:01 on July 4, 2025, an interruption request with the current status TaskID=20250704153001 is sent.

[0049] The breakpoint resumption mechanism includes: after the edge gateway 21 detects that the Modbus TCP port is reachable, it automatically re-establishes the Socket connection and sends a heartbeat packet to verify the link stability. It then queries the SQLite temporary table for tasks that meet the condition of "retry count < 3 and status is interrupted," extracting TaskID=20250704153001 by priority, thus completing the power outage scan.

[0050] Specifically, in this embodiment, before retransmitting the cached data after communication recovery, a consistency check is performed to avoid repeated write / read errors, and the cached data is compressed to reduce bandwidth usage.

[0051] Specifically, the device status is confirmed by sending a Modbus read command to query the current value of register 0x0012: 0x01 0x03 0x00 0x12 0x00 0x01 0x84 0xA5. If the device response value is inconsistent with the target value, the request before the interruption is considered unsuccessful, and the write command needs to be resent. If the device response value is consistent with the target value, the request before the interruption is considered to have been successfully executed, the task is marked as "complete," and the cache is deleted.

[0052] In the embodiment, the edge gateway 21 is provided with a local cache strategy based on an SQLite temporary table, for caching the Modbus TCP protocol data through the SQLite temporary table when communication is interrupted.

[0053] Specifically, the SQLite temporary table in the embodiment is shown in Table 1 below: Table 1 SQLite Temporary Table

[0054] When communication interruption is detected, the task state is recorded as an interruption state, and the instruction frame is saved to data_packet. When communication is restored, power failure scanning is performed by querying the SQLite temporary table. For example, tasks with Status = "interruption" AND RetryCount < 3 in the cache table are sorted according to the timestamp to extract the highest priority task to locate the breakpoint.

[0055] In the embodiment, the edge layer 20 further includes an identification code PC connected with a code scanning gun, for data binding of a unique batch identification code generated by scanning the code scanning gun with the current DES formula version and device parameters, generating a current batch data packet and sending it to the application layer 30 through the edge gateway 21.

[0056] Specifically, the identification code PC in the embodiment is used to realize the association and binding of the DES formula and the product batch ID, and is used to call the data packet by the two-dimensional code traceability module. When scanning the code, the identification code PC automatically captures the current formula version and device parameters, and checks the matching of the batch type and the formula.

[0057] In the embodiment, the host computer accesses the DES formula system through an office network, and sends execution deviation data obtained by comparing and calculating the process parameters with the formula target value to the DES formula system. The DES formula system adjusts the DES formula according to the execution deviation data.

[0058] Specifically, the above deviation feedback is used to realize dynamic adjustment of the DES formula. For deviation feedback of the same batch of products, short-term adjustment is performed, i.e., the formula system issues a temporary compensation instruction through the MES terminal PC 31. For deviation of the same process parameter appearing in multiple batches of production equipment, more stable DES formulas are generated by accumulating historical data.

[0059] In the embodiment, the parameter coupling model includes a pressure coupling model, a chemical reaction coupling model, and a production timing coupling model, the coupling parameters of the pressure coupling model include developing spray pressure, etching spray pressure, spray pipe flow, pressure-flow coefficient, the coupling parameters of the chemical reaction coupling model include pickling pressure, anti-rust pressure, etching switch, reaction rate, and the coupling parameters of the production timing coupling model include air knife pressure, production speed, and mechanical delay.

[0060] Referring to Figure 4 The application provides an ultra-low-cost DES formula intelligent regulation and control method based on multi-parameter dynamic balance, which is applied to a DES formula intelligent regulation and control system based on multi-parameter dynamic balance and includes the following steps. S1: The DES formula system analyzes formula parameters according to a production plan pushed by a data center 32, generates a DES formula, and issues a control command to a PLC cluster through an upper computer.

[0061] S2: The upper computer compares and calculates real-time collected process parameters with formula target values to obtain execution deviation data.

[0062] S3: A dynamic balance engine 33 performs decision calculation on the process parameters according to a parameter coupling model to obtain coupling parameters of the process parameters and their joint debugging values, packs the execution deviation data and the joint debugging values to generate a regulation and control instruction.

[0063] S4: The upper computer issues a regulation and control command to the PLC cluster according to the regulation and control instruction.

[0064] In the embodiment, the dynamic balance engine 33 is provided with a regulation and control decision condition, that is, when any process parameter is out of tolerance and the deviation rate of its coupling parameter is greater than 5%, multi-parameter joint adjustment calculation is started and the joint debugging value is generated.

[0065] Specifically, the multi-parameter dynamic regulation and control process is illustrated by examples. The basic conditions are set as follows: the technical end maintenance speed is 1.5 m / min, and the spray pressure is 0.3 MPa. It is detected that the real-time process parameters of the equipment end are as follows: the real-time collected display speed of the equipment is 1.6 m / min, and the pressure is 0.3 MPa. At this time, the parameter coupling model is called, and the judgment process is as follows: the speed is increased to cause the material viscosity to be reduced, the pressure needs to be reduced synchronously to maintain the gap stability, and the parameter coupling relationship is obtained as follows: the temperature is increased by 0.1 m / min, and the pressure needs to be reduced by 0.05 MPa to maintain the gap.

[0066] Then, according to the regulation decision condition: when any parameter is out of tolerance and the associated parameter deviation rate is greater than 5%, it is judged to start the multi-parameter linkage adjustment calculation, and the linkage value is generated: the speed is reduced to 0.1 m / min, and the pressure is reduced to 0.25 MPa.

[0067] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not contradict, they should be considered within the scope of the present disclosure.

[0068] The above-described embodiments are merely preferred embodiments of the present application, and cannot be used to limit the scope of protection of the present application. Any non-essential changes and replacements made by those skilled in the art based on the present application shall fall within the scope of protection of the present application.

Claims

1. A DES formulation intelligent control system based on multi-parameter dynamic equilibrium, characterized in that, include: The system comprises a device layer, an edge layer, and an application layer. The device layer includes multiple PLC controllers and a multi-threaded communication module. These PLC controllers are connected concurrently through the multi-threaded communication module to form a PLC cluster. This cluster is used for device-level control based on the DES recipe, and for real-time acquisition of process parameters and linewidth monitoring from each instrument terminal. The process parameters and linewidth data are then sent to the edge layer via the multi-threaded communication module. The edge layer converts the process parameters according to a protocol and sends them to the application layer. Edge computing is used to locally determine whether the linewidth data exceeds tolerance. The application layer includes a host computer, a data center, and a dynamic balancing engine. The host computer processes and analyzes the process parameters and writes the data to the data center. The data center stores the DES recipe, historical data, and current data. The dynamic balancing engine constructs a parameter coupling model to retrieve historical and current data, perform decision calculations based on the parameter coupling model, generate control commands, and send control commands to the PLC cluster via the host computer.

2. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 1, characterized in that: The multi-threaded communication module includes at least two servers and a multi-threaded communication component. Each server manages the connection of multiple PLC controllers in a single thread by deploying the multi-threaded communication component. It is also configured with a load balancing mechanism and a failover mechanism. The load balancing mechanism automatically distributes the concurrent requests of the PLC controllers to multiple servers or threads, and the failover mechanism automatically forwards the concurrent requests of the PLC controllers from a faulty server or thread to a fault-free server or thread.

3. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 2, characterized in that: The multi-threaded communication module adopts the Modbus communication protocol, and its server cluster has a master-slave architecture. It is used to establish a communication connection between the master station host computer and the PLC cluster through the Modbus TCP protocol, and to transmit the process parameters and line width data output by the slave station PLC controller using the Modbus TCP protocol. The primary and backup nodes of the server cluster use a heartbeat detection mechanism, which involves periodically sending status packets. If no response is received within a timeout period, the failover mechanism is triggered.

4. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 3, characterized in that: The edge layer employs an edge gateway, which is used to convert received Modbus TCP protocol data into MQTT protocol data and push it to the application layer.

5. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 4, characterized in that: The edge gateway is configured with a local caching strategy based on an SQLite temporary table, which is used to cache the Modbus TCP protocol data through the SQLite temporary table when communication is interrupted.

6. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 5, characterized in that: The edge layer also includes an identifier PC, which is connected to a barcode scanner and is used to bind the unique batch identifier generated by the barcode scanner with the current DES recipe version and device parameters, generate the current batch data packet, and send it to the application layer through the edge gateway.

7. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 1, characterized in that: The host computer connects to the DES formulation system via the office network and sends the execution deviation data obtained by comparing and calculating the process parameters with the formulation target value to the DES formulation system. The DES formulation system then adjusts the DES formulation based on the execution deviation data.

8. The DES formulation intelligent control system based on multi-parameter dynamic balance according to claim 7, characterized in that: The parameter coupling model includes a pressure coupling model, a chemical reaction coupling model, and a production time coupling model. The coupling parameters of the pressure coupling model include developing spray pressure, etching spray pressure, nozzle flow rate, and pressure-flow coefficient. The coupling parameters of the chemical reaction coupling model include pickling pressure, rust prevention pressure, etching switch, and reaction rate. The coupling parameters of the production time coupling model include air knife pressure, production speed, and mechanical delay.

9. A low-cost intelligent control method for DES formulation based on multi-parameter dynamic equilibrium, characterized in that, The system applied to the DES formulation intelligent control system based on multi-parameter dynamic equilibrium as described in any one of claims 1-8 includes: The DES recipe system analyzes recipe parameters based on the production plan pushed by the data center, generates DES recipes, and sends control commands to the PLC cluster via the host computer. The host computer compares and calculates the real-time collected process parameters with the target values ​​of the formula to obtain execution deviation data; The dynamic balancing engine performs decision calculations on the process parameters based on the parameter coupling model, obtains the coupling parameters of the process parameters and their joint adjustment values, and packages the execution deviation data and the joint adjustment values ​​to generate control instructions; The host computer sends control commands to the PLC cluster according to the control instructions.

10. The intelligent control method for DES formulation based on multi-parameter dynamic equilibrium according to claim 9, characterized in that: The dynamic balancing engine is configured with control decision conditions. The control decision conditions are as follows: when any of the process parameters exceeds the tolerance and the deviation rate of its coupled parameters is >5%, multi-parameter linkage adjustment calculation is initiated and the joint adjustment value is generated.

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