Self-adaptive parameter calibration control system and method in material supply process

Abstract

The invention provides a self-adaptive parameter calibration control system and method in a material supply process, and relates to the technical field of automatic control production operation, and the system comprises a database system which is used for recording the corresponding relation between tire models and feeding data, and recording the corresponding relation between two-dimensional code data and raw materials; the information management system is used for verifying, recording, adjusting, transferring and tracking the input data information and issuing corresponding automatic control signals; and the automatic control system is used for receiving the automatic control signal issued by the information management system and controlling the output of the production equipment. The information management system is used for calculating the maximum residual quantity of molding input materials, dynamic optimization of the feeding amount is achieved in combination with the material proportion configuration of the MES management end, unreasonable feeding amount caused by insufficient information is avoided, after material information is obtained through code scanning, the system automatically compares standard specifications with input specifications, specification mistake proofing is achieved, and the production efficiency is improved. And the problem of specification inconformity caused by manual judgment errors is completely eradicated.

Description

Technical Field

[0001] This application relates to the field of automated control production operation technology, and more specifically, to an adaptive parameter calibration control system and method for a material supply process. Background Technology

[0002] With continuous economic development and intensified market competition, enterprises have an increasingly urgent need to improve production quality, reduce production costs, and ensure production quality. Manufacturing technology is also upgrading from traditional technologies to automated control technologies, giving rise to a large number of specialized automated equipment for various industries. Most of these specialized automated equipment relies on its own control system (PLC, microcontroller, controller, etc.) to operate, providing only a limited number of control buttons or HMIs with limited information as human-machine interface points, lacking the conditions and capabilities for complex information processing. This lack of information processing leads to problems such as insufficient material input, incorrect input specifications, negative quantities of semi-finished products, and production even when no material is available, especially when semi-finished products are used as raw materials in molding processes. These issues make it difficult to guarantee production quality and ensure accurate material traceability. Existing technologies include solutions for material traceability and input detection: Chinese invention patent CN118862916A discloses a method for error-proof management of tire semi-finished components using QR codes. This method includes establishing a database linking different tire semi-finished component codes with assembled finished component codes in a login system; generating QR codes for different tire semi-finished component specifications when traceability cards are generated for each tire semi-finished component manufacturing process; during tire production, operators use a PDA to scan the QR code on the corresponding tire semi-finished component's traceability card to identify material information and compare it with the database information; for each tire produced, the quantity of a corresponding tire semi-finished component is automatically decremented by scanning the QR code information using a PDA; when the scanned material information of a tire semi-finished component is inconsistent with the database, a screen error alarm is set; when a designated person verifies and releases the tire semi-finished component, the designated person logs into the system to retrieve an authorization code, and only after entering the authorization code and authorized personnel information into the PDA can the alarm be deactivated and normal production resume.

[0003] However, this solution is essentially a method to assist manual verification, providing verification information to production personnel. It only has the ability to control production stoppages, not production control. This existing technology is essentially a database management and data display system and method, which still does not solve the problem of production continuing even without raw materials. It can only record data and issue warnings. Summary of the Invention

[0004] To address the aforementioned problems, this application employs an adaptive parameter calibration control system for a material supply process, comprising: Database system: used to record the correspondence between tire models and material input data, and the correspondence between QR code data and raw materials; Information management system: used to verify, record, adjust, transfer, and track input data, and to issue corresponding automated control signals; Automated control system: Used to receive automated control signals from the information management system and control the output of production equipment.

[0005] Optionally, the database system and information management system are deployed at field terminals, which include industrial control computers, and the industrial control computers include I / O devices and barcode scanning devices.

[0006] Optionally, the barcode scanning device includes a barcode scanning device base and a barcode scanning device terminal. The barcode scanning device base establishes a communication connection with an industrial control computer via a serial port, and the barcode scanning device terminal is coupled to the scanning device base using a wireless protocol. The industrial control computer is used for software operation, network interconnection, and human-computer interaction.

[0007] Optionally, the hardware of the automated control system includes a programmable logic controller (PLC), and the software of the automated control system includes the control program of the PLC. The PLC is networked with an industrial control computer through basic network infrastructure, and then establishes a connection channel with the information management system.

[0008] Optionally, the information management system includes a barcode information receiving service and a production management system field terminal, which is deployed and runs on an industrial control computer, establishes communication with the automation control system based on network configuration, and performs signal interaction and information processing.

[0009] Optionally, the database system is also responsible for providing data storage services during the execution of the information management system.

[0010] Optionally, the production equipment includes a tire production molding machine and auxiliary mechanical mechanisms, and the overall operation is controlled by an information control system and an automated control system.

[0011] Optionally, it also includes a trial production feeding control terminal, which is used to directly control the production equipment and shield the database system, information management system and automation control system after feeding.

[0012] This application also provides an adaptive parameter calibration control method for a material supply process, characterized in that: it adopts any of the aforementioned adaptive parameter calibration control systems based on the material supply process, including: on the semi-finished product input molding machine page, based on the material input data, calculating the maximum remaining quantity of input material for molding based on logical correlation, maintaining the maximum remaining quantity of input material on the MES management terminal's input material ratio configuration page, and controlling output based on the remaining quantity; by comparing standard specifications with input specifications, ensuring material input under the plan, and simultaneously performing specification error prevention.

[0013] Optionally, after the semi-finished materials are transported to the feeding position, the barcode is scanned using a scanning terminal. After the barcode content is received and distributed by the barcode scanning service, it is processed by the production management system. After data verification, conversion and binding, it is stored in the corresponding location in the database. The information management system verifies, records, adjusts, transfers, and tracks the input data, while simultaneously issuing corresponding automated control signals to control the output of the molding machine. For the semi-steel two-stage forming machine, separate switches are set on the industrial control computer page to control the first and second stages respectively.

[0014] The beneficial effects of the adaptive parameter calibration control system and method for a material supply process provided in this application are as follows: (1) By constructing a dedicated information processing layer through a database system and an information management system, the limited information processing capabilities of traditional equipment are overcome. The database system records the correspondence between tire models and material feeding data, and between QR codes and raw materials, forming a structured data system; the information management system undertakes complex data verification, calculation, and tracking tasks, solving the limitation that the original equipment could only achieve simple logic control, and providing in-depth information support for the production process.

[0015] (2) The maximum remaining quantity of materials used for molding is calculated by the information management system and combined with the material usage ratio configuration of the MES management terminal to achieve dynamic optimization of the material input quantity, avoiding unreasonable material input due to insufficient information. After obtaining material information by scanning the code, the system automatically compares the standard specifications with the input specifications to achieve specification error prevention and eliminate the problem of specification discrepancies caused by human judgment errors. The information management system verifies and tracks the input data in real time and forms a closed-loop control logic by combining the material inventory information recorded in the database. When insufficient materials or abnormal quantity are detected, the production can be stopped in time through the automated control system to avoid ineffective production. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0017] Figure 1This is a schematic diagram of the adaptive parameter calibration control system for the material supply process provided in the embodiments of this application; Figure 2 This is a schematic diagram of the adaptive parameter calibration control process for the material supply process provided in the embodiments of this application. Detailed Implementation

[0018] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0019] like Figures 1-2 As shown, this application provides an adaptive parameter calibration control system for a material supply process, comprising: Database system: used to record the correspondence between tire models and material input data, and the correspondence between QR code data and raw materials; The database system also provides data storage services during the execution of the information management system, including production process data, verification result data, alarm record data, and traceability data.

[0020] First, define the data structure and build a tire model-material input data table, a QR code-raw material data table, and a production traceability data table.

[0021] The Tire Model - Material Feeding Data Table includes the following fields: Tire Model ID (primary key, 10-character code), Semi-finished Product Type ID (8-character code), Unit Material Feeding Amount (numerical, accuracy 0.001 kg / piece), Single Tire Material Feeding Loss Rate (numerical, range 0.5%-3%), Safety Margin Threshold (numerical, 5%-10% of unit material feeding amount), Applicable Molding Machine Model (multi-value field, associated with molding machine equipment code), and Data Effective Date (date type). The QR code-raw material data table includes the following fields: QR code unique identifier (primary key, 20-character code, format: "batch number-specification code-production date"), raw material batch number (12-character code), specification parameters (including subfields such as dimensional tolerance ±0.1mm, material code, density, etc.), total input quantity (numerical, accuracy 0.001kg / unit), total consumption quantity (numerical, accuracy 0.001kg / unit), production time (timestamp type), expiration date (date type), storage location code (10-character code), and alternative material association ID (foreign key, associated with tire model-semi-finished product type ID in the material input data table, can be null). The production traceability data table includes the following fields: production plan number (15-character code), tire unique identifier (18-character code), input material QR code list (multi-value field), material input time (timestamp type), operator ID (6-character code), molding machine equipment code (8-character code), production status (enumerated type: normal / alarm / interrupted), alarm code (5-character code, can be empty), and output time (timestamp type).

[0022] The information management system is used to verify, record, adjust, transfer, and track input data, and to issue corresponding automated control signals. The information management system includes two core modules: barcode information receiving service and production management system field terminal.

[0023] The barcode information receiving service is deployed on an industrial control computer and supports RS232 / RS485 serial communication, Bluetooth 5.0, and Wi-Fi 802.11n wireless communication protocols. It is used to receive barcode data transmitted by barcode scanning devices. The parsed data includes the unique QR code identifier, raw material batch number, and specification parameter information. If the parsing fails, a barcode parsing failure alarm will be triggered immediately. The production management system provides a visual human-machine interface on-site, supporting functions such as production plan import, material feeding parameter configuration, material verification result display, alarm information display, and production data query.

[0024] The information management system includes a barcode information receiving service and a field terminal for the production management system. Deployed and running on an industrial control computer, it establishes communication with the automation control system based on network configuration, performing signal interaction and information processing. The communication mechanism of the information management system establishes communication with the automation control system based on network configuration technology, using Modbus TCP or Profinet communication protocols. Control signals include at least three types: production permission, production prohibition, and alarm trigger.

[0025] The automated control system receives automated control signals from the information management system to control the output of production equipment. The hardware uses a programmable logic controller (PLC, supporting Siemens S7-1200 / S7-1500 series or Mitsubishi FX5U series), equipped with digital input modules, digital output modules, and analog input modules. It supports an Ethernet interface (RJ45) and uses an Ethernet switch as the basic network infrastructure to network with the industrial control computer. The software consists of a PLC control program, using ladder diagram or structured text programming, including signal receiving modules, logic judgment modules, equipment control modules, and alarm feedback modules. It supports online debugging and parameter modification. It receives control signals from the information management system, controls the start / stop of production equipment and the operation / pause of the feeding mechanism through the digital output module, and collects the equipment operating status through the digital input module and feeds it back to the information management system.

[0026] In addition to the database system, information management system, and automated control system, it also includes the original field terminals, trial production material feeding control terminals, and production equipment.

[0027] Field terminals include industrial control computers, I / O devices (keyboard, mouse, touch screen) and barcode scanning devices; The barcode scanning device includes a barcode scanning device base and a barcode scanning device terminal. The base establishes a communication connection with the industrial control computer through an RS485 serial port, and the terminal is coupled to the base via Bluetooth 5.0 wireless protocol, supporting mainstream two-dimensional barcodes such as QR codes and DataMatrix codes.

[0028] It also includes a trial production material feeding control terminal, which directly controls the production equipment and shields the database system, information management system, and automation control system after material feeding. The trial production material feeding control terminal is used in trial tire production scenarios, directly controlling the production equipment and shielding the database system, information management system, and automation control system after material feeding. It uses hard wiring in parallel with the PLC emergency stop circuit and is equipped with independent stop and start buttons. The buttons have a self-locking design; pressing the start button outputs a control signal with higher priority than the information management system, controlling the molding machine to start. Simultaneously, it sends trial production mode commands through a software interface. The system automatically skips specification verification, margin calculation, and other logic, only recording the production plan number and trial production batch information.

[0029] The production equipment includes tire forming machines and auxiliary mechanical mechanisms. Overall operation is controlled by an information management system and an automated control system. The production equipment includes tire forming machines (semi-steel one-stage / two-stage forming machines) and auxiliary mechanical mechanisms (feeding mechanism, cutting mechanism, conveyor rollers). Overall operation is controlled collaboratively by the information management system and the automated control system. Action signals from the auxiliary mechanical mechanisms are sent by the PLC through digital output modules, and position signals are fed back through digital input modules.

[0030] Each molding machine produces tire blanks according to the production plan. Based on the production plan, the machine can obtain the type, weight, or quantity of semi-finished products required to produce one tire blank from the database. When the operator puts the material in, they first select the type of semi-finished product and then perform a barcode scanning operation. Through this operation, the scanned specifications, batch weight, or quantity can be obtained from the database. The two sets of data are compared, and a timer is set to execute every 5 seconds. If the scanned specifications are different from the required specifications, a stop signal is issued to the stop point through KEPServer (Industrial Data Connection and Integration Platform). Through calculation, the remaining quantity and weight of materials after the machine is put in are obtained. The safe quantity and weight of each material are different. The corresponding relationship is obtained from the database. If it is not within the safe range, a stop signal is issued.

[0031] If the production type is trial production, no verification is performed when obtaining the planned specifications. The correspondence between the specifications of alternative materials is obtained from the database, and whether it is an alternative material is determined separately in the specification error prevention logic.

[0032] The unit material input ratio configuration page of the MES management terminal is used to maintain the unit material input quantity, material loss rate, safety margin threshold and alternative material relationship for each tire model. The configuration data is synchronized to the tire model-material input data table in the database system in real time. The configuration permission is only granted to the administrator. After the semi-finished materials are produced, a unique QR code is generated and affixed to the surface of the material packaging. At the same time, information such as QR code data, raw material batch number, specifications, and total input are entered into the QR code-raw material data table of the database system. Operators log in to the production management system on-site, enter the production plan number, and the system automatically retrieves information such as the tire model, required semi-finished product types, standard specifications, and unit feed quantity corresponding to the plan from the database.

[0033] Semi-finished materials are transported to the feeding position manually or automatically. Operators select the corresponding type of semi-finished product and use a barcode scanning device terminal to scan the QR code on the material packaging. The barcode data is transmitted to the barcode scanning device base via Bluetooth 5.0 wireless protocol. The base then sends the data to the industrial control computer via RS485 serial port, where it is parsed by the barcode information receiving service.

[0034] After parsing, the production management system's on-site terminal retrieves the raw material information (specifications, total input) corresponding to the QR code from the database, along with the standard specifications corresponding to the current production plan, for dual verification. Compare the scanned specifications with the standard specifications to verify the specifications. The comparison dimensions include dimensional tolerances and material codes. If it is a substitute material, it is necessary to verify whether the scanned material is in the substitute material association list for this tire model. Substitute materials are only allowed to be used when the original specification material is in short supply, and the reason for the substitution must be recorded. The status is verified by checking whether the total input of materials is greater than the total consumed, and whether the remaining amount (total input - total consumed) is greater than 0. If the verification passes, the system will automatically bind the QR code data to the current production plan number, store it in the production traceability data table, and calculate the remaining amount of the current material. Remaining amount = total input amount - total consumption amount. If the verification fails, the system will immediately trigger an alarm, displaying the alarm code and reason. At the same time, it will send an alarm trigger signal to the PLC through the KEPServer, and the PLC will control the audible and visual alarm to start, and the molding machine will be prevented from starting. The operator needs to handle the alarm according to the reason, and after handling, re-scan the code for verification.

[0035] The production management system's field terminal calculates the maximum producible quantity of the current material based on the following formula: Maximum production quantity = INT[(remaining quantity - safety margin threshold) ÷ (unit feed quantity × (1 + feed loss rate))]; Where INT is the floor function, the safety margin threshold is 5%~10% of the unit feed amount, and the feed loss rate is 0.5%~3%; The system displays the maximum production quantity. After the operator starts the molding machine, the system automatically updates the total amount of material consumed for each tire produced. The total amount consumed (t) = total amount consumed (t-1) + unit feed amount × (1 + feed loss rate), and recalculates the remaining amount and the maximum production quantity. The system is configured with a timed verification mechanism, which executes every 5 seconds. The verification content includes: Is the remaining quantity ≥ the safety margin threshold? If the remaining quantity < the safety margin threshold, the HMI interface will display a warning of insufficient material quantity, but production is allowed to continue until the maximum production quantity is reached. Is the remaining quantity ≤ 0? If the remaining quantity is ≤ 0, the system will immediately send a production stop signal to the PLC. The PLC will control the molding machine to stop production and trigger a material depletion alarm. Material needs to be replenished and the barcode needs to be scanned and verified again before production can be resumed. Has the quantity produced reached the maximum production quantity? If the quantity produced equals the maximum production quantity, the system issues a production halt signal and stops production.

[0036] During the trial production of the tire, the operator clicks the trial production mode switch on the HMI interface. The system disables the specification verification, margin calculation and output control logic. The operator directly controls the molding machine production through the start button of the trial feeding control terminal. During the production process, only the production plan number, trial production batch number and operator ID are recorded. Semi-steel two-stage forming machine control: Separate feeding switches for the first stage and the second stage are set on the industrial control computer HMI interface. Operators can control the feeding timing and feeding amount of the first and second stages respectively according to the production process requirements. The feeding data of the two stages are recorded separately and the remaining amount is calculated independently.

[0037] After each tire is produced, the system automatically generates a unique identifier for data traceability and recording, and associates the identifier with information such as the QR code list of input materials, feeding time, operator ID, molding machine equipment code, and production status, and stores it in the production traceability data table; It supports querying corresponding production process data and material traceability information by production plan number, tire unique identifier or material batch number. The query results can be exported to Excel format and the traceability data can be kept for ≥3 years.

[0038] When the barcode scanning device loses communication, the HMI interface displays that the barcode scanning device is offline and the system suspends production. Operators need to check the Bluetooth connection between the barcode scanning device terminal and the base, or check the serial port connection between the base and the industrial control computer. After communication is restored, the barcode scanning verification needs to be performed again. When the database connection fails, the system automatically saves the current production data to the local cache of the industrial control computer. The HMI interface displays that the database is offline. The operator needs to check the network connection. After the database connection is restored, the cached data is automatically synchronized to the database. After the synchronization is completed, the system resumes normal production. When PLC communication is interrupted, the HMI interface displays a communication failure. The system immediately issues a stop signal, and the molding machine stops urgently. Operators need to check the network connection between the PLC and the industrial control computer (IP address configuration, Ethernet switch status). Production needs to be restarted after communication is restored.

[0039] Taking a typical tire production scenario as an example, the specific implementation process is as follows: The MES management terminal is configured to set the unit material feeding amount for each tire model to 1.5kg / tire, the material loss rate to 1%, the safety margin threshold to 0.075kg (1.5kg×5%), and to configure the alternative material association ID. QR codes are generated based on the batch number, specification code, production date, and total input quantity of semi-finished materials and entered into the database. Operators log in to the system, enter the production plan number, and the system retrieves the standard specifications of the tire model to be produced. Operators scan the QR code, and the system parses and compares the specification parameters. Verification is successful. Material input calculation: Remaining amount = 30.0kg - 0 = 30.0kg, Maximum production quantity = INT[(30.0 - 0.075) ÷ (1.5 × (1 + 1%))] = INT[29.925 ÷ 1.515] = 19 pieces; The operator starts the molding machine. For each tire produced, the total consumed increases by 1.515 kg (1.5 kg × 1.01), and the remaining amount decreases accordingly. When the 19th tire is produced, the total consumed = 19 × 1.515 = 28.785 kg, and the remaining amount = 30.0 - 28.785 = 1.215 kg ≥ 0.075 kg, so production is allowed. After production is completed, the remaining amount = 1.215 kg, and the maximum number of tires that can be produced = INT[(1.215 - 0.075) ÷ 1.515] = INT[1.14 ÷ 1.515] = 0 tires. The system issues a production stop signal and stops production. The system generates unique identifiers for each of the 19 tires for traceability, and records information such as the QR code of the materials used, the feeding time, and the operator's ID for each tire.

[0040] Example 2 The difference between this embodiment and Embodiment 1 is that this embodiment is a scenario where substitute materials are used because there is a shortage of semi-finished materials.

[0041] Record the batch number, QR code, and total input of the substitute material, and associate the substitute material when entering the material information into the database; Operators scan the QR code of the substitute material, and the system verifies whether the material is in the list of substitute materials associated with the tire model. If the verification is successful, the use of the substitute material is recorded in the production traceability data table. Maximum production quantity = INT[(20.0-0.075)÷(1.5×1.01)] = INT[19.925÷1.515] = 13 pieces. The production process is the same as in Example 1.

[0042] Example 3: The difference between this embodiment and Embodiment 1 is that this embodiment is a trial production scenario. The workshop conducts trial production of tires. Click the trial production mode switch on the HMI interface and enter the trial production plan number. The operator directly controls the molding machine to produce through the start button of the trial production feeding control terminal, without the need for barcode scanning verification and surplus calculation. The system records the production plan number, trial production batch number and operator ID, without performing specification verification and output quantity limit.

[0043] like Figure 1 As shown, the database system and information management system are deployed at field terminals, which include industrial control computers (ICCs) and I / O devices and barcode scanning devices. Deploying the database system and information management system at field terminals (including I / O devices and barcode scanning devices) enables the system to acquire field data in real time, improving the timeliness and accuracy of data processing. It also facilitates field operation and management, enhancing the system's flexibility and operability.

[0044] The barcode scanning device includes a base and a terminal. The base communicates with an industrial control computer via a serial port, while the terminal is wirelessly coupled to the base. The industrial control computer handles software operation, network connectivity, and human-machine interaction. It provides operators with a user-friendly interface for monitoring and management, while ensuring stable software operation and uninterrupted network connectivity, guaranteeing normal information exchange between different system components.

[0045] The hardware component of an automated control system includes a programmable logic controller (PLC), while the software component includes the PLC's control program. The PLC connects to an industrial control computer via a basic network infrastructure, thereby establishing a connection channel with the information management system.

[0046] This application also provides an adaptive parameter calibration control method for a material supply process, including: 1. Semi-finished product input into the molding machine page. Based on the original material input data, the calculation logic is extended to include a maximum remaining quantity of material for molding input (maintained by the molding input material ratio configuration page in the MES management terminal), enabling output control based on the remaining quantity; by comparing standard specifications with input specifications, the material input under the plan is ensured, while specification error prevention is implemented; a button is added, which is controlled by the workshop foreman to filter out trial specifications; 2. After the semi-finished materials are transported (manually or automatically) to the feeding position, the barcode is scanned using a scanning terminal. The barcode content is received and distributed by the barcode scanning service and then processed by the production management system. After a series of data verifications, conversions, and bindings, it is stored in the corresponding location in the database. 3. The information management system verifies, records, adjusts, transfers, and tracks the input data. Simultaneously, it sends corresponding automated control signals to control whether the molding machine produces output. 4. Special measures are taken for the semi-steel two-stage forming machine, with separate switches on the page to control the first and second stages respectively; 5. The automated control system automatically controls output under different conditions based on the control signal feedback from the information management system; 6. Under the collaborative control of the information management system and the automation control system, the entire process is automated. Information technology ensures the accuracy of material input logic, while automation ensures input rate and production quality.

[0047] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An adaptive parameter calibration control system for a material supply process, characterized by, The application relates to a self-adaptive parameter calibration control system based on a material supply process. The database system is used for recording the correspondence between tire models and raw material data and recording the correspondence between two-dimensional code data and raw materials. The information management system is used for verifying, recording, adjusting, transferring and tracking input data information and issuing corresponding automatic control signals. The automatic control system is used for receiving the automatic control signals issued by the information management system and controlling the output of production equipment.

2. The adaptive parameter calibration control system of a material supply process of claim 1, wherein: The database system and the information management system are arranged on a field terminal, and the field terminal comprises an industrial computer, the industrial computer comprises an I / O device and a bar code scanning device.

3. The adaptive parameter calibration control system of a material supply process according to claim 2, characterized in that: The bar code scanning device comprises a bar code scanning device base and a bar code scanning device terminal, the bar code scanning device base is connected with the industrial computer through a serial port, the bar code scanning device terminal is coupled with the scanning device base through a wireless protocol, and the industrial computer is used for software running, network intercommunication and man-machine interaction.

4. The adaptive parameter calibration control system of a material supply process of claim 1, wherein: The hardware part of the automatic control system comprises a programmable logic controller, the software part of the automatic control system comprises a control program of the programmable logic controller, the programmable logic controller is connected with the industrial computer through a basic network facility, and then a connection channel is established between the programmable logic controller and the information management system.

5. The adaptive parameter calibration control system of a material supply process of claim 1, wherein: The information management system comprises a bar code information receiving service and a production management system field terminal, is arranged on the industrial computer, is connected with the automatic control system based on network configuration, and performs signal interaction and information processing.

6. The adaptive parameter calibration control system of a material supply process of claim 1, wherein: The database system is also responsible for data storage service during the execution of the information management system.

7. The adaptive parameter calibration control system of a material supply process of claim 1, wherein: The production equipment comprises a tire production forming machine and an auxiliary mechanical mechanism, and the whole operation control is controlled by the information control system and the automatic control system.

8. The adaptive parameter calibration control system of a material supply process of claim 2, wherein: The application also comprises a trial production material control terminal, the trial production material control terminal is used for directly controlling the production equipment and shielding the control of the database system, the information management system and the automatic control system after material feeding.

9. A method of adaptive parameter calibration control of a material supply process, characterized by: The application is carried out by using the self-adaptive parameter calibration control system based on the material supply process, comprising the following steps: on a semi-finished product input forming machine page, the maximum number of remaining forming input materials is calculated based on the input data, the maximum number of remaining forming input materials is maintained by an MES management end forming input material proportion configuration page, and the output is controlled according to the remaining quantity; by comparing the standard specification with the input specification, the material input under the plan is ensured, and specification error prevention is simultaneously performed.

10. The adaptive parameter calibration control system of a material supply process of claim 9, wherein: After the semi-finished product material is transported to a feeding position, a scanning terminal is used for scanning a bar code, the bar code content is received and distributed by a bar code scanning service, and then is transmitted to a production management system for processing, and after data verification, conversion and binding, is stored in a corresponding position in a database; The information management system verifies, records, adjusts, transfers and tracks input data information, and simultaneously issues corresponding automatic control signals to control the output of the forming machine; For a semi-steel two-section forming machine, a separate switch is arranged on an industrial computer page to control the first section and the second section feeding respectively.

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