An intelligent execution method and system for mixed flow production based on RFID and multiple checks

Abstract

The present application belongs to the field of flexible manufacturing system and industrial internet of things, and particularly relates to a mixed flow production intelligent execution method and system based on RFID and multiple verification; the method comprises the following steps: obtaining an identity mark and process path information and writing the identity mark and process path information into a label; reading a process instruction; reading the identity mark; obtaining a second process instruction; performing cross verification; starting an execution result verification device to perform automatic detection and generate execution result verification information; and executing an abnormality processing program when verification fails; the present application provides a mixed flow production intelligent execution method and system based on RFID and multiple verification, and aims to solve the technical problems of insufficient process instruction verification, lack of verification of execution results, risk of deadlock in abnormality processing logic and the like in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of flexible manufacturing systems (FMS) and industrial Internet of Things (IIoT) technology, and particularly relates to a mixed-flow production intelligent execution method and system based on RFID and multiple verification. Background Technology

[0002] With the increasing demand for personalized customization, mixed-flow production of multiple varieties and small batches has become an important development direction for modern manufacturing. Under this model, the same production line needs to process workpieces with different process paths, assembly materials, and processing parameters in sequence, which places extremely high demands on the flexibility and accuracy of the production line.

[0003] In existing technologies, barcodes, QR codes, or RFID tags are commonly used for workpiece identification. For example, scanning the barcode on a workpiece allows for querying and issuing process instructions from the Manufacturing Execution System (MES). Other solutions write process information into accompanying RFID tags, which are then read and executed by the workstation equipment. However, these solutions have the following technical problems: 1. Lack or reliance on a single information verification mechanism: A single information source (whether MES or RFID) carries the risk of information errors or tampering. For example, when the MES system issues instructions, network latency or database errors may cause instruction anomalies; RFID tags may also be incorrectly written at the input port or damaged during transit. Without a cross-validation mechanism, if the information source is faulty, subsequent workstations will execute incorrect processes, leading to batch quality incidents.

[0004] 2. Lack of closed-loop verification of execution results: Existing solutions mainly focus on the correctness of instructions "before execution," but lack effective automatic monitoring methods for whether the "execution results" of instructions are correct. Equipment (such as robots) may fail to execute or make errors due to mechanical failures, abnormal material supply, etc., and the system cannot automatically detect this, increasing the risk of non-conforming products flowing into the next process.

[0005] 3. Inadequate exception handling logic: Traditional methods typically involve simple alarm shutdowns or RFID record-keeping when errors occur. However, in extreme cases where the RFID tag itself is damaged or the reader malfunctions, the system may be unable to write the exception information to the tag, causing the exception handling process to fail. This could lead to production line congestion or faulty workpieces entering the normal process. Summary of the Invention

[0006] This invention aims to solve the technical problems existing in the current mixed-flow production technology, such as insufficient verification of process instructions, lack of verification of execution results, and deadlock risk in exception handling logic, and to provide an intelligent execution method and system that can achieve zero-error and highly flexible production.

[0007] To address the aforementioned technical problems, this invention provides a mixed-flow production intelligent execution method based on RFID and multiple verification, comprising the following steps: At the production line entrance, a unique identification mark for the workpiece is obtained, and complete process path information corresponding to the unique identification mark is obtained from the Manufacturing Execution System (MES). The complete process path information is then written into the accompanying RFID tag bound to the workpiece. When the workpiece arrives at the target station, the control system of the target station executes the following steps: The first process instruction for the current workstation is read from the accompanying RFID tag by an RFID reader. The unique identification of the workpiece is read using a visual scanning device; The control system sends the unique identifier it reads to the MES in order to obtain the reference second process instruction for the current workstation stored in the database of the MES. The control system performs cross-validation between the first process instruction and the reference second process instruction; If the cross-validation passes, the control system controls the automated equipment to perform the operation corresponding to the first process instruction or the reference second process instruction; After the automated equipment completes its operation, the control system activates the execution result verification device to automatically detect the processing or assembly results of the workpiece and generate execution result verification information. When cross-validation fails or execution result verification fails, the control system executes an exception handling procedure: it attempts to write a preset exception status code into the accompanying RFID tag. If writing fails or the tag is unreadable, a system exception record associated with the unique identifier is generated in the control system; and the logistics system is controlled to transfer the workpiece to the exception handling station.

[0008] Furthermore, the step of writing the complete process path information into the accompanying RFID tag also includes writing the unique identification of the workpiece into the accompanying RFID tag; The cross-verification step also includes comparing whether the unique identifier read from the RFID tag matches the unique identifier read by the visual scanning device.

[0009] Furthermore, the unique identifier of the workpiece is a QR code, barcode, or direct part identification (DPM) code, and the visual scanning device is an industrial camera or barcode scanner.

[0010] Furthermore, before the control system controls the automated equipment to perform operations, a material pre-verification step is also included: The automated equipment scans the material identification marks on the materials to be used; The control system compares the scanned material information with the preset material information contained in the first process instruction or the reference second process instruction; Only after the comparison is passed will the automated equipment be controlled to grab the material to be used and perform the operation.

[0011] Furthermore, the execution result verification device is a visual sensor; The step of automatically detecting the processing or assembly results of the workpiece includes: The visual sensor acquires an image of the workpiece after the operation is completed; The image processing module within the control system analyzes the image to determine whether the model, location, or state of the processed or assembled item meets the preset standards.

[0012] Furthermore, after the execution result verification is successful, it also includes: The control system writes the execution result verification information and operation completion timestamp information back into the accompanying RFID tag to form an unalterable electronic record.

[0013] Furthermore, a mixed-flow production intelligent execution system based on RFID and multiple verification is also provided, which includes: The information writing module is used to obtain the unique identification of the workpiece at the production line entrance, obtain the corresponding complete process path information from the Manufacturing Execution System (MES), and write the complete process path information into the accompanying RFID tag bound to the workpiece. and a workstation control unit deployed at at least one target workstation, the workstation control unit comprising: The multi-source verification module is used to read the first process instruction in the accompanying RFID tag and the unique identification on the workpiece when the workpiece arrives at the target workstation, and obtain the reference second process instruction from the MES based on the unique identification, and perform cross-verification on the first and reference second process instructions; The process execution module is used to control the automated equipment to perform corresponding operations after the multi-source verification module passes the verification. The result verification and write-back module is used to control the execution result verification device to verify the processing or assembly results of the workpiece after the operation is completed, and can write the verification results back to the accompanying RFID tag. The exception handling module is used to execute an exception handling procedure when the cross-validation fails or the result verification fails: attempt to write the exception status code to the accompanying RFID tag; if the writing fails or the tag is unreadable, generate a system exception record and control the logistics system to transfer the workpiece to the exception handling station.

[0014] Furthermore, the multi-source verification module includes: An RFID reading unit, connected to an RFID reader / writer, is used to read the first process instruction; A visual scanning unit, connected to a visual scanning device, is used to read the unique identifier; The MES interaction unit is used to communicate with the MES via the network, send the unique identifier, and receive the reference second process instruction. The instruction comparison unit is used to compare the data fields of the first process instruction and the reference second process instruction one by one, and output a verification pass signal when they are completely consistent.

[0015] Furthermore, the process execution module is also used to control the automated equipment to perform identification scanning of the material to be used before controlling the automated equipment to perform operations, and to compare the scanning result with the material information in the instruction, and only to perform subsequent operations after the comparison is successful.

[0016] Furthermore, the result verification and write-back module includes an image processing unit connected to a vision sensor. The image processing unit is configured to run an image recognition algorithm to determine whether the assembly result of the workpiece meets the preset quality standard.

[0017] Compared with the prior art, the beneficial effects of this invention are significant and multifaceted: 1. Multiple verification channels reduce errors: Cross-verification of "accompanying RFID information" and "real-time MES information" forms the first line of defense, avoiding the risk caused by errors from a single source.

[0018] 2. An automatic verification step for the results after equipment execution has been added, and combined with material pre-verification, a complete closed loop of "instruction-material-execution-verification" has been formed.

[0019] 3. Improved robustness of exception handling: An exception handling logic compatible with RFID faults was designed. Even if the RFID tag is damaged and the exception code cannot be written, the abnormal workpiece can be accurately diverted through system-level recording, avoiding logic deadlock. Attached Figure Description

[0020] To enable those skilled in the art to more clearly and comprehensively understand the technical solutions of the present invention, preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the accompanying drawings are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. In the accompanying drawings: Figure 1 is a schematic diagram of the system architecture of an embodiment of the present invention.

[0021] Figure 2 is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, several preferred embodiments of the invention will be described in detail below with reference to the accompanying drawings. It should be understood that the embodiments described herein are merely for explaining the invention and do not constitute any limitation on its scope of protection. Any modifications, equivalent substitutions, or improvements made based on the spirit and principles of this invention should be included within the scope of protection of this invention.

[0023] Example 1: This example provides a mixed-flow intelligent execution method for production based on RFID and multiple verification. Please refer to Figures 1 and 2. This method can be applied to a seat installation station on a typical automobile assembly line, where "Model A - high-end leather seats" and "Model B - standard fabric seats" need to be installed in a mixed-flow manner.

[0024] The specific steps of this method are as follows: Step S101: Binding and distributing process information.

[0025] When a vehicle of model A enters the production line via a pallet, the information writing module 100 is activated. This module first uses a vision scanning device to read the QR code on the vehicle body to obtain its unique identifier, such as "Order A001". Then, the information writing module 100 sends a query request to the Manufacturing Execution System (MES) via Ethernet. The MES returns its complete process path information based on "Order A001". This information is a structured data file containing detailed information on the operations to be performed at each workstation and the required materials. For the seat installation workstation, this information is "Installing high-spec genuine leather seats, material number PN001". The information writing module 100 encodes this complete process path information, along with the "Order A001" identifier, and writes it into the accompanying RFID tag 10 bound to the pallet. In this embodiment, the data written in the accompanying RFID tag 10 is structured data, including at least an identification field, a process path version field, a workstation number field, a current workstation process instruction field, a material number field, an execution status field, and an abnormal status field. Specifically, the identification field stores the unique identification of the workpiece, such as "Order A001"; the process path version field indicates the process path version issued by the MES; the workstation number field distinguishes different target workstations such as seat installation workstations, interior assembly workstations, and inspection workstations; the current workstation process instruction field stores the first process instruction corresponding to the target workstation; the material number field stores the number of the material required for this workstation; the execution status field records whether the current workstation has been executed and whether the execution has passed; and the abnormal status field records states such as cross-validation failure, material pre-validation failure, execution result verification failure, or RFID read / write abnormality.

[0026] After the information writing module 100 writes the above data into the accompanying RFID tag 10, the accompanying RFID tag 10 can be read and verified by an RFID reader, and the read identity identifier, process path version, workstation number, and material number can be compared with the complete process path information returned by the MES. If the comparison is consistent, it is determined that the workpiece at the online port is successfully bound to the accompanying RFID tag 10; if the comparison is inconsistent, the writing operation is re-executed or an online port binding error record is generated.

[0027] Step S102: Workstation arrival and acquisition of multi-source information.

[0028] When the pallet carrying the vehicle body of model A arrives at the seat installation station, sensors (such as photoelectric switches) at the station trigger the station control system 20 to start operating. The station control system 20 performs the following information acquisition actions: 1. The RFID reader 21 deployed above the workstation entrance reads the information stored in the accompanying RFID tag 10 and parses out the "first process instruction" for the current workstation: "Install high-end genuine leather seats, material number PN001".

[0029] 2. Using an industrial camera (as a vision scanning device 22) deployed on the side of the workstation, the QR code on the vehicle body is photographed and decoded to obtain the unique identification of the workpiece: "Order A001".

[0030] Step S103: Cross-validation and decision.

[0031] The workstation control system 20 sends the unique identifier "Order A001" to the MES via TCP / IP protocol. After receiving the request, the MES queries its database in real time and returns the reference "Second Process Instruction" for "Order A001" at the current seat installation workstation: "Install high-end genuine leather seat, material number PN001".

[0032] The instruction comparison unit inside the workstation control system 20 compares the data fields of the first process instruction obtained from RFID and the second process instruction obtained from MES one by one. In this example, the two are completely consistent, therefore the cross-validation is deemed successful. Specifically, the instruction comparison unit can compare the first process instruction and the reference second process instruction item by item according to the preset field order. The preset fields include at least the workpiece unique identifier, target station number, process path version, process number, material number, equipment action parameters, and result verification standard.

[0033] Before comparing process instructions, the workstation control system 20 can also compare the unique identification of the workpiece read from the accompanying RFID tag 10 with the unique identification of the workpiece read by the vision scanning device 22. If the two are inconsistent, it indicates that there may be a situation where the accompanying RFID tag 10 is mis-attached to the workpiece, the tag data is incorrectly written, or the workpiece has entered the wrong workstation. The workstation control system 20 determines that the cross-verification has failed and triggers the exception handling module 500.

[0034] If the two match, the workstation control system 20 sends the unique identification of the workpiece and the current target workstation number read by the vision scanning device 22 to the MES. The MES then returns a reference second process instruction that the workpiece should execute at the current target workstation. Subsequently, the instruction comparison unit performs a field-level comparison between the first process instruction parsed from the accompanying RFID tag 10 and the reference second process instruction returned by the MES. If the process path version, process number, material number, equipment action parameters, and result verification standards are all consistent, a verification pass signal is output; if any field is inconsistent, a verification failure signal is output, and the inconsistent field and its corresponding field value are recorded.

[0035] Step S104: Instruction execution and material pre-verification.

[0036] After the cross-check passes, the process execution module 300 of the station control system 20 sends an execution instruction to the automation device 30 (such as a six-axis industrial robot). Before the robot moves to the bin area to grab the seat, a material pre-check step is performed: a barcode scanner is integrated on the robot gripper, and it will first scan the barcode on the seat bin to be grabbed. The station control system 20 compares the scanned material number with "PN001" in the instruction. After confirming that they are consistent, it controls the robot to grab the seat for installation operation; If the scanned material number is inconsistent with the material number in the first process instruction or the reference second process instruction, the station control system 20 does not issue a grabbing instruction to the automation device 30 and identifies this exception as a failure in material pre-check. At this time, the station control system 20 can send the material pre-check failure information to the exception handling module 500, and the exception handling module 500 performs exception status recording and logistics diversion processing.

[0037] In this embodiment, the material pre-check does not replace the cross-check between the first process instruction and the reference second process instruction, but is performed after the cross-check passes and before the automation device 30 performs the actual grabbing or assembly action, to prevent misplacement in the bin, incorrect material distribution, or the robot grabbing the wrong material.

[0038] Step S105: Verify the execution result and write back information.

[0039] After the robot installs the seat on the vehicle body and retreats to a safe position, the result verification and write-back module 400 of the station control system 20 activates the execution result verification device 40. In this embodiment, this device is a high-resolution industrial camera installed above the station.

[0040] The camera takes a picture of the seat installation area and sends the image data to the station control system 20. The image processing module inside the system runs an image analysis algorithm. Specifically, the algorithm first extracts the seat contour through Canny edge detection and performs contour matching with the pre-stored standard contour template of the "high-end leather seat" to verify whether the model is correct; at the same time, the algorithm identifies two key positioning hole feature points on the seat and calculates their coordinate deviations relative to the vehicle body reference point. If the deviation values (x, y) are both less than the preset threshold (such as ±2 mm), it is determined that the installation position is qualified.

[0041] The analysis result is "correct model, installed in place", that is, the execution result verification passes. Subsequently, the result verification and write-back module 400 writes a string containing information such as "seat station - verification passed - execution successful - 20251117231000" back into the accompanying RFID tag 10 through the RFID reader 21; In this embodiment, the execution result verification information includes at least the workpiece's unique identifier, the target workstation number, the execution completion time, the verification result, the verification items, and the anomaly type. The verification items may include whether the seat model is correct, whether the seat installation position is within a preset deviation range, and whether the seat is properly installed. If the seat model is inconsistent with the seat model corresponding to the reference second process instruction, or if the coordinate deviation of the key positioning hole relative to the vehicle body reference point exceeds a preset threshold, or if the image processing module detects that the seat is not properly installed, the workstation control system 20 determines that the execution result verification has failed.

[0042] When the execution result verification is successful, the result verification and write-back module 400 writes the execution result verification information and operation completion timestamp back to the accompanying RFID tag 10, and can also upload it to the MES simultaneously. In this way, both the accompanying RFID tag 10 and the MES can record the execution result of the target workstation for subsequent workstation reading, quality traceability, and anomaly analysis.

[0043] Step S106: Exception handling and dynamic redirection.

[0044] When cross-validation fails, material pre-validation fails, or execution result verification fails, the exception handling module 500 intervenes and executes the exception handling procedure. The exception handling module 500 generates a corresponding exception status code based on the source of the exception. For example, if the first process instruction is inconsistent with the referenced second process instruction, an exception status code indicating process instruction cross-validation failure is generated; if the unique identifier read from the accompanying RFID tag 10 is inconsistent with the unique identifier read from the visual scanning device 22, an exception status code indicating identity inconsistency is generated; if the material number is inconsistent, an exception status code indicating material pre-validation failure is generated; and if the execution result verification is unqualified, an exception status code indicating execution result verification failure is generated.

[0045] The exception handling module 500 first attempts to write the exception status code, target workstation number, exception occurrence time, and exception summary to the accompanying RFID tag 10 via the RFID reader / writer 21. If the RFID reader / writer 21 returns a successful writing signal, the workstation control system 20 marks the workpiece as having completed the tag exception record and sends an exception diversion instruction to the logistics system 50.

[0046] If the RFID reader 21 returns a write failure, read timeout, verification error, or tag unreadable signal, the exception handling module 500 will no longer use the accompanying RFID tag 10 as the sole exception record carrier, but will instead generate a system exception record in the local database of the workstation control system 20 and / or the MES. The system exception record includes at least the workpiece's unique identifier, target workstation number, exception status code, exception occurrence time, exception source, exception summary, and current logistics location. For cross-validation failures, the system exception record may also include field values ​​from the first process instruction, field values ​​from the reference second process instruction, and inconsistent fields; for execution result verification failures, the system exception record may also include verification items, actual test results, and preset standards.

[0047] After a system anomaly record is generated, the workstation control system 20 associates the unique identifier of the workpiece with the anomaly status and sends an anomaly diversion command to the logistics system 50 via fieldbus, industrial Ethernet, or discrete output interface. The logistics system 50 controls the conveyor line stopper, diversion mechanism, or transfer device to operate according to the anomaly diversion command, transferring the corresponding workpiece to a preset anomaly handling workstation. If the accompanying RFID tag 10 of the workpiece is unreadable, the workstation control system 20 can reread the unique identifier on the workpiece using the vision scanning device 22 to confirm the workpiece to be diverted.

[0048] Through the above processing, even if the accompanying RFID tag 10 is damaged, unreadable, or unwritable when an anomaly occurs, the workstation control system 20 can still generate a system anomaly record based on the unique identification of the workpiece and control the logistics system 50 to complete the anomaly diversion, thereby avoiding the single-point dependence of the anomaly handling process on the RFID tag.

[0049] Example 2: This example provides an intelligent execution system for mixed-flow production based on RFID and multiple verification. This system is the physical carrier for implementing the method described in Example 1. Referring to Figure 1, the system includes an information writing module 100 deployed at the production line inlet and a workstation control unit deployed at at least one target workstation. The workstation control unit may include a multi-source verification module 200, a process execution module 300, a result verification and write-back module 400, and an exception handling module 500.

[0050] The information writing module 100 is used to obtain the unique identification of the workpiece at the production line entry point and obtain the complete process path information corresponding to the unique identification from the MES. The information writing module 100 writes the complete process path information and the unique identification of the workpiece into the accompanying RFID tag 10 bound to the workpiece, and can read the data in the accompanying RFID tag 10 for verification after writing.

[0051] The multi-source verification module 200 is used to acquire information from multiple sources when a workpiece arrives at the target workstation. The multi-source verification module 200 includes an RFID reading unit, a visual scanning unit, a MES interaction unit, and an instruction comparison unit. The RFID reading unit is connected to the RFID reader 21 and is used to read the first process instruction for the current target workstation from the accompanying RFID tag 10; the visual scanning unit is connected to the visual scanning device 22 and is used to read the unique identification mark on the workpiece; the MES interaction unit is used to send the unique identification mark and the current target workstation number to the MES and receive the reference second process instruction returned by the MES; the instruction comparison unit is used to compare the data fields of the first process instruction and the reference second process instruction item by item, and outputs a verification pass signal when the comparison matches, and outputs a verification failure signal when the comparison does not match.

[0052] The process execution module 300 controls the automated equipment 30 to perform corresponding operations after the multi-source verification module 200 outputs a verification pass signal. Before the automated equipment 30 picks up the material to be used, the process execution module 300 can also control the automated equipment 30 or its cooperating scanning device to read the material identification on the material to be used, and compare the read material information with the preset material information in the first process instruction or the reference second process instruction. Only after the material information comparison is successful will the process execution module 300 issue a picking or assembly action instruction to the automated equipment 30.

[0053] The result verification and write-back module 400 is connected to the execution result verification device 40. After the automated equipment 30 completes its operation, it controls the execution result verification device 40 to acquire images of the workpiece after processing or assembly, and uses the image processing unit to determine whether the workpiece's model, position, or status meets preset standards. When the execution result verification is successful, the result verification and write-back module 400 writes the execution result verification information and operation completion timestamp back to the accompanying RFID tag 10, and can also simultaneously upload it to the MES.

[0054] The exception handling module 500 is used to execute exception handling procedures when cross-validation fails, material pre-validation fails, or execution result verification fails. The exception handling module 500 first attempts to write the exception status code to the accompanying RFID tag 10; if writing fails or the accompanying RFID tag 10 is unreadable, the exception handling module 500 generates a system exception record with a unique identifier associated with the workpiece in the local database of the workstation control system 20 and / or the MES, and controls the logistics system 50 to transfer the workpiece to the exception handling workstation.

[0055] Through the above system structure, a data closed loop is formed between the information writing module 100, the multi-source verification module 200, the process execution module 300, the result verification and write-back module 400, and the exception handling module 500: the online port completes the binding of the workpiece identity and the process path, the target station completes the cross-verification of the RFID first process instruction and the MES reference second process instruction, the automated equipment 30 executes the operation after the verification is passed, the execution result verification device 40 verifies the execution result, and the exception handling module 500 performs RFID exception code writing or system exception record fallback when an exception occurs, and controls the logistics system 50 to complete the exception diversion.

[0056] Finally, it should be emphasized that the embodiments described above are merely illustrative of the technical concept and preferred implementation of the present invention, and are not intended to exhaustively describe or limit the scope of protection of the present invention. Any person skilled in the art, after understanding the spirit and core technical solutions of the present invention, may make various modifications, equivalent substitutions, or improvements based on the content disclosed in the present invention without departing from its basic principles. These obvious modifications or substitutions should all be considered to be included within the scope of protection claimed by the present invention.

Claims

1. A mixed-flow production intelligent execution method based on RFID and multiple verification, characterized in that, Includes the following steps: At the production line entrance, a unique identification mark is obtained for the workpiece, and the complete process path information corresponding to the unique identification mark is obtained from the Manufacturing Execution System (MES). The complete process path information is then written into the accompanying RFID tag bound to the workpiece. When the workpiece arrives at the target station, the control system of the target station executes the following steps: The first process instruction for the current workstation is read from the accompanying RFID tag by an RFID reader. The unique identification of the workpiece is read using a visual scanning device; The control system sends the unique identifier it reads to the MES in order to obtain the reference second process instruction for the current workstation stored in the database of the MES. The control system performs cross-validation between the first process instruction and the reference second process instruction; If the cross-validation passes, the control system controls the automated equipment to perform the operation corresponding to the first process instruction or the reference second process instruction; After the automated equipment completes its operation, the control system activates the execution result verification device to automatically detect the processing or assembly results of the workpiece and generate execution result verification information. When cross-validation fails or execution result verification fails, the control system executes an exception handling procedure: it attempts to write a preset exception status code into the accompanying RFID tag. If writing fails or the tag is unreadable, a system exception record associated with the unique identifier is generated in the control system; and the logistics system is controlled to transfer the workpiece to the exception handling station.

2. The intelligent execution method for mixed-flow production based on RFID and multiple verification as described in claim 1, characterized in that, The step of writing the complete process path information into the accompanying RFID tag also includes writing the unique identification of the workpiece into the accompanying RFID tag; The cross-verification step also includes comparing whether the unique identifier read from the RFID tag matches the unique identifier read by the visual scanning device.

3. The intelligent execution method for mixed-flow production based on RFID and multiple verification as described in claim 1, characterized in that, The unique identifier of the workpiece is a QR code, barcode, or direct component identification code, and the visual scanning device is an industrial camera or barcode scanner.

4. The intelligent execution method for mixed-flow production based on RFID and multiple verification as described in claim 1, characterized in that, Before the control system controls the automated equipment to perform operations, a material pre-verification step is also included: The automated equipment scans the material identification marks on the materials to be used; The control system compares the scanned material information with the preset material information contained in the first process instruction or the reference second process instruction; Only after the comparison is passed will the automated equipment be controlled to grab the material to be used and perform the operation.

5. The intelligent execution method for mixed-flow production based on RFID and multiple verification as described in claim 1, characterized in that, The execution result verification device is a visual sensor; The step of automatically detecting the processing or assembly results of the workpiece includes: The visual sensor acquires an image of the workpiece after the operation is completed; The image processing module within the control system analyzes the image to determine whether the model, location, or state of the processed or assembled item meets the preset standards.

6. A mixed-flow production intelligent execution method based on RFID and multiple verification as described in claim 1 or 5, characterized in that, After the execution result verification is successful, it also includes: The control system writes the execution result verification information and operation completion timestamp information back into the accompanying RFID tag to form an unalterable electronic record.

7. A mixed-flow production intelligent execution system based on RFID and multiple verification, characterized in that, include: The information writing module is used to obtain the unique identification of the workpiece at the production line entry point, obtain the corresponding complete process path information from the Manufacturing Execution System (MES), and write the complete process path information into the accompanying RFID tag bound to the workpiece. and a workstation control unit deployed at at least one target workstation, the workstation control unit comprising: The multi-source verification module is used to read the first process instruction in the accompanying RFID tag and the unique identification on the workpiece when the workpiece arrives at the target workstation, and obtain the reference second process instruction from the MES based on the unique identification, and perform cross-verification on the first and reference second process instructions; The process execution module is used to control the automated equipment to perform corresponding operations after the multi-source verification module passes the verification. The result verification and write-back module is used to control the execution result verification device to verify the processing or assembly results of the workpiece after the operation is completed, and can write the verification results back to the accompanying RFID tag. The exception handling module is used to execute an exception handling procedure when the cross-validation fails or the result verification fails: attempt to write the exception status code to the accompanying RFID tag; if the writing fails or the tag is unreadable, generate a system exception record and control the logistics system to transfer the workpiece to the exception handling station.

8. The intelligent execution system for mixed-flow production based on RFID and multiple verification as described in claim 7, characterized in that, The multi-source verification module includes: An RFID reading unit, connected to an RFID reader / writer, is used to read the first process instruction; A visual scanning unit, connected to a visual scanning device, is used to read the unique identifier; The MES interaction unit is used to communicate with the MES via the network, send the unique identifier, and receive the reference second process instruction. The instruction comparison unit is used to compare the data fields of the first process instruction and the reference second process instruction one by one, and output a verification pass signal when they are completely consistent.

9. The intelligent execution system for mixed-flow production based on RFID and multiple verification as described in claim 7, characterized in that, The process execution module is also used to control the automated equipment to perform identification scanning of the material to be used before controlling the automated equipment to perform operations, and compare the scanning result with the material information in the instruction. Subsequent operations are only performed after the comparison is successful.

10. The intelligent execution system for mixed-flow production based on RFID and multiple verification as described in claim 7, characterized in that, The result verification and write-back module includes an image processing unit connected to a vision sensor. The image processing unit is configured to run an image recognition algorithm to determine whether the assembly result of the workpiece meets the preset quality standard.

Images