Automatic issuing and recycling control method and system of PCB production tool data

Abstract

The application provides a kind of PCB production tool data automatic issue and recovery control method and system, method includes the following steps: receiving the PCB production tool data that is audited, stores to PCB production tool database after carrying out digital signature and compliance inspection;Online production information in manufacturing execution system is obtained, tool data is matched with it and is classified according to pre-set system, and classified ready data with target path is generated;According to production state event, data is automatically issued to specified equipment, and equipment end state is monitored in real time;Based on equipment feedback or system state change triggers data recovery process, completes safe deletion confirmation and archives.This application realizes the automatic closed-loop management of tool data full life cycle, effectively improves the management efficiency and accuracy, guarantees the consistency and safety of multi-factory area collaborative management, and provides complete data support for quality traceability.

Description

Technical Field

[0001] This invention relates to the field of industrial automation technology, specifically to a method and system for the automatic distribution and retrieval management of PCB production tool data. Background Technology

[0002] The PCB manufacturing industry currently faces significant challenges in managing electronic tool data. The types of electronic tools that need to be managed on production lines are extremely diverse, typically including LDI inner and outer layer files, solder mask LDI data, inkjet printer programs, stencil machine parameters, sealing data, drilling tape, router tape, laser engraving data, and halftone dot fabrication data, among others. Efficient management of this electronic tool data is crucial for ensuring both final product quality and production efficiency.

[0003] However, existing technologies in the industry have significant disadvantages. Tool documentation, after approval, is typically distributed manually, lacking a unified and standardized automated management mechanism. This traditional model leads to a high risk of tool version confusion, requiring engineers to manually verify whether the version they are using is the current online model, making it easy for old and new models to be used interchangeably. Especially in complex environments with multi-plant collaborative production, managing similar models poses significant security risks, and updates to tool documentation for the same model often cause production inconsistencies, posing a high risk to quality control.

[0004] In recent years, the PCB industry has made significant progress in automation technology. For example, industry-developed carrier disassembly and automatic recycling equipment, as well as automated batch collection equipment for circuit boards, have effectively solved the problem of scratch damage to physical objects during collection. Furthermore, inner layer ink coating devices have improved ink recovery efficiency, and milling cutter shank recycling devices have enabled the recycling of tool components. Automatic board unloading and stacking equipment has achieved automatic sorting and unloading of pallets, boards, and films.

[0005] However, it must be clearly pointed out that these innovations mainly focus on the automation of physical processes, leaving a gap in the intelligent management of electronic tool data. Existing technological innovations largely revolve around the automation of hardware equipment and physical materials, without delving into the management of electronic tool data. With the deepening of Industry 4.0 and intelligent manufacturing, the PCB industry has placed higher demands on the full lifecycle management of electronic tool data, and traditional manual intervention methods are no longer sufficient to meet these needs.

[0006] Therefore, the industry urgently needs an innovative solution that can achieve intelligent and automated management of electronic tool data, which is precisely the core problem that this patented technology aims to solve. Summary of the Invention

[0007] This invention provides an automatic distribution and retrieval management method for PCB production tool data, which solves the technical problems of easy version confusion, low efficiency, and difficulty in collaborative management across multiple factories caused by the reliance on manual management of existing PCB production tool data.

[0008] This invention is achieved through the following technical solution:

[0009] In a first aspect, this application provides a method for the automatic distribution and retrieval management of PCB production tool data, characterized by the following steps:

[0010] Receive the audited PCB tool data, digitally sign and perform compliance checks on it, and store the verified tool data in the PCB production tool data library;

[0011] The system acquires online production information from the manufacturing execution system, matches the tool information in the PCB production tool database with the online production information, and classifies them according to a preset classification system to generate classification-ready data with target paths.

[0012] In response to production status events, classify ready data is sent to the devices specified by their target paths, and the status of the data on the devices is continuously monitored and feedback is received on the status of the devices.

[0013] Based on the status feedback from the equipment or the status change event of the manufacturing execution system, the data retrieval process is triggered and executed. After the retrieved data is confirmed to be safely deleted, it is archived to the historical database.

[0014] A further optimized solution involves receiving the audited PCB tool data, performing digital signature and compliance checks on it, and storing the verified tool data in the PCB production tool database. This specifically includes the following steps:

[0015] Receive tool materials with an approval mark;

[0016] Add digital signatures and timestamps to the tool data to generate traceable copies of the data;

[0017] Store a copy of the data in a hierarchical PCB manufacturing tool database;

[0018] Perform automated verification of the format, compatibility, and security of the incoming data copies, and store the verified tool data in the PCB production tool data library.

[0019] A further optimized solution involves obtaining online production information from the manufacturing execution system, matching tool data from the PCB production tool database with the online production information, and classifying the data according to a preset classification system to generate classification-ready data with target paths. This specifically includes the following steps:

[0020] Real-time synchronization of online models, work indication status, and plant configuration from the manufacturing execution system;

[0021] The tool matches the part number attribute with the synchronized online model number to obtain the matching results.

[0022] Based on the matching results and plant configuration, a three-level model of "layer-part number-tool type" is adopted to assign a unique storage and distribution path to tool data, and generate classified ready data with target paths.

[0023] A further optimized solution involves responding to production status events by sending categorized ready data to the devices specified in their target paths and continuously monitoring the data's status on the devices. This specifically includes the following steps:

[0024] Monitor changes in production plans, order status, or equipment status within the manufacturing execution system as trigger events for issuance;

[0025] If an event is triggered, the task of sending the data will be initiated based on the target path information carried by the classified ready data. The data will be sent to the target device using a transmission mechanism with breakpoint resume and integrity verification.

[0026] After the data is distributed, the operating status of the device is continuously acquired through heartbeat detection, forming a status monitoring log.

[0027] A further optimized solution involves triggering and executing a data retrieval process based on equipment status feedback or manufacturing execution system status change events. After confirming the secure deletion of the retrieved data, it is archived to a historical database. This process specifically includes the following steps:

[0028] Set the end of the work instruction or device offline as the trigger condition for recycling;

[0029] When the conditions are met, a data deletion command is sent to the relevant device, and the system waits for a confirmation signal that the deletion operation was successful.

[0030] After confirmation of deletion, all versions of the tool's data are categorized according to preset rules and moved to the historical archive.

[0031] A further optimized solution includes the following steps before responding to a production status event, sending classified ready data to the device specified by its target path, and continuously monitoring the status of the data on the device:

[0032] Compare the version numbers of the tool data that have been classified with the version numbers of the currently active online models in the Manufacturing Execution System;

[0033] If the versions are the same, the subsequent distribution process can continue.

[0034] A further optimized solution involves the following steps: in the process of acquiring online production information from the Manufacturing Execution System (MES), matching tool data from the PCB production tool database with the online production information, classifying the data according to a preset classification system, and generating classification-ready data with target paths, logically isolated storage spaces are created for different factory areas based on the factory configuration information obtained from the MES, ensuring that the tool data completes factory isolation during the matching phase.

[0035] A further optimized solution is to temporarily store, verify, and manage the versions of all tool data in a PCB production tool data library before proceeding to subsequent processes.

[0036] A further optimization is that the method constructs a digital twin of the tool data, so that its lifecycle status is synchronously mapped with the actual production progress of the physical production line.

[0037] Secondly, this application provides a PCB manufacturing tool data lifecycle management system for implementing the method described above, comprising:

[0038] The data acquisition and inspection module is used to receive the tool data of the audited PCB, perform digital signature and compliance checks on it, and store the verified tool data in the PCB production tool data library.

[0039] The intelligent classification and storage module is communicatively connected to the data acquisition and inspection module. It is used to acquire online production information in the manufacturing execution system, match the tool data in the PCB production tool database with the online production information, classify them according to a preset classification system, and generate classification-ready data with target paths.

[0040] An automatic delivery execution module is communicatively connected to the intelligent classification and storage module. It is used to respond to production status events, deliver classified ready data to the device specified by its target path, continuously monitor the status of the data on the device, and provide feedback on the status of the device.

[0041] The status monitoring and recycling module is connected in communication with the automatic delivery and execution module. It is used to trigger and execute the data recycling process based on the status feedback from the equipment or the status change event of the manufacturing execution system. After confirming the safe deletion of the recycled data, it archives it to the historical database.

[0042] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0043] By constructing an automated tool and data management process, a closed-loop management system covering the entire lifecycle—from data entry, intelligent matching, and automatic distribution to status monitoring and archiving—was achieved. This method effectively improves the efficiency and accuracy of tool and data management, completely avoiding version confusion and misuse issues that may arise from manual operation. Simultaneously, the system ensures consistency and security in collaborative data management across multiple plant environments through real-time data synchronization and event-driven mechanisms, and provides comprehensive data support for production quality traceability. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0045] Figure 1 A flowchart illustrating the automatic distribution and retrieval management method for PCB production tool data provided in this application embodiment;

[0046] Figure 2 This is a functional block diagram of the automatic distribution and retrieval management system for PCB production tool data provided in the embodiments of this application. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0048] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0049] PCB: Printed Circuit Board;

[0050] LDI: Laser Direct Imaging;

[0051] MES: Manufacturing Execution System;

[0052] MI: Manufacturing Instruction;

[0053] This invention provides an automatic distribution and retrieval management method for PCB production tool data, such as... Figure 1 As shown, it includes the following steps:

[0054] Step S1: Receive the audited PCB production tool data, digitally sign and verify it for compliance, and store the verified tool data in the PCB production tool data library;

[0055] Step S2: Obtain online production information from the manufacturing execution system, match the tool information in the PCB production tool database with the online production information, and classify them according to the preset classification system to generate classification-ready data with target paths;

[0056] Step S3: In response to production status events, send classified ready data to the devices specified by their target paths, and continuously monitor the status of the data on the devices.

[0057] Step S4: Based on the status feedback from the equipment or the status change event of the manufacturing execution system, trigger and execute the data retrieval process, and archive the retrieved data to the historical database after confirming safe deletion.

[0058] This invention, based on the concept of digital twins, constructs a full lifecycle management system for PCB production tool data, achieving tight integration of electronic data and physical production processes. The core innovation of this invention lies in the introduction of intelligent buffering and security verification mechanisms, a multi-dimensional classification and precise matching system, and adaptive distribution and retrieval algorithms, thereby realizing automated management of tool data throughout its entire lifecycle. Simultaneously, through precise management and timely retrieval of tool data, this invention significantly improves storage space utilization and achieves resource optimization.

[0059] This embodiment achieves closed-loop management from data entry verification, intelligent matching and classification, automatic distribution and monitoring, to precise retrieval and archiving by constructing an automated tool data lifecycle management process. This method significantly improves the efficiency and accuracy of tool data management, effectively eliminating the risks of version confusion and misuse that may arise from manual operation. Simultaneously, relying on real-time data synchronization and event-driven mechanisms, it ensures the consistency and security of data management in a multi-plant collaborative environment and provides complete data support for production quality traceability. This technology significantly enhances the intelligence level of the PCB production process, aligns with Industry 4.0, supports the industry's digital transformation, and has value in resource optimization and quality traceability.

[0060] In one embodiment, step S1: receiving the audited PCB production tool data, digitally signing and verifying it, and storing the verified tool data in the PCB production tool database, specifically includes the following steps:

[0061] Step S11: Receive the audited PCB production tool data and add a digital signature and timestamp to the tool data to form a data copy; wherein, the PCB production tool data includes electronic production guidance documents such as LDI photoplotting data, drill tape, router tape, stencil data, and laser engraving data used to guide PCB manufacturing; at the same time, the system implements an audit lock check mechanism, setting multiple verification points in the data output stage to prevent unaudited data from flowing into the production system, ensuring that only audited data can enter the subsequent process; specifically, after the engineers complete the tool data production, they automatically add an audit pass mark to the audited data, which includes metadata such as auditer information, audit time, and audit result; preferably, the RSA asymmetric encryption algorithm is used to digitally sign the tool data, and a timestamp accurate to milliseconds is added to generate a data copy with complete traceability;

[0062] Step S12: Store the data copy into a hierarchical PCB production tool database; wherein, the PCB production tool database adopts a multi-level index structure based on B+ tree, and establishes a hierarchical storage directory according to data type, creation time, version number and other dimensions to realize hierarchical storage of the buffer pool and form a security isolation layer.

[0063] Step S13: Perform automated verification on the copies of incoming data; specifically, perform format compliance checks, equipment compatibility tests, and security threat scans in sequence to ensure that the data meets the requirements of the production system and prevent unqualified data from entering the distribution process.

[0064] In one embodiment, step S2: Obtaining online production information from the manufacturing execution system, matching tool data in the PCB production tool database with the online production information, and classifying them according to a preset classification system to generate classification-ready data with target paths, specifically includes the following steps:

[0065] Step S21: Establish a data connection with the MES system through the RESTful API interface to synchronize the online model list, work instruction status, and factory configuration information once per minute to obtain complete production information data; where the RESTful API interface is a standardized network communication and data interaction method based on the HTTP protocol; the MES system is a manufacturing execution system used to manage the manufacturing process at the shop floor level;

[0066] Step S22: Based on the acquired production information data, the edit distance algorithm and regular expression pattern matching technology are used, combined with rule engine technology, to perform dynamic rule matching on the tool data in the PCB production tool database to match the part number attributes and generate accurate matching results; at the same time, the version number of the tool data that has been classified is compared with the version number of the currently effective online model in the manufacturing execution system. If the versions are consistent, the subsequent issuance process can continue.

[0067] Step S23: Using the matching results and combined with the plant configuration information, allocate storage and distribution paths for each tool data according to the three-level classification model of "layer-part number-tool type", and finally output the classification ready data with clear target paths.

[0068] In one embodiment, step S2 further includes the following steps to enhance the secure isolation and precise control of PCB production tool data in a multi-plant collaborative production environment:

[0069] Step S24: Implement isolation management for similar model tool data in different factories, and obtain the isolated PCB production tool data; specifically, based on the factory configuration information obtained from the manufacturing execution system, create a logically isolated storage space with an independent namespace and access control policy for each factory, and ensure that the similar model data is completely independent through a combination of system identification and physical isolation.

[0070] Step S25: Verify the factory area affiliation of the isolated PCB production tool data and obtain the PCB production tool data that has passed the factory area affiliation verification; specifically, in the data matching stage, by comparing the data attributes with the factory area authorization scope, ensure that the tool data can only be distributed to the production equipment in the authorized factory area, and at the same time establish a complete access log recording mechanism.

[0071] Step S26: Classify the PCB production tool data that have passed the factory area ownership verification and generate classification ready data; specifically, automatically optimize the storage structure and distribution path according to factors such as tool type, usage frequency and priority, and generate a metadata description file containing complete path information for each data to achieve adaptive classification.

[0072] In one embodiment, step S3: In response to a production status event, classifying ready data is sent to the device specified by its target path, and the status of the data on the device is continuously monitored, specifically including the following steps:

[0073] Step S31: Establish a production status event listening mechanism by deploying a message middleware (such as Kafka or RabbitMQ) between the manufacturing execution system and the control system to capture production plan change events, order status update signals and equipment status change data in real time;

[0074] Step S32: When a production status event that meets the preset conditions is detected, the task execution process is triggered; specifically, by parsing the target path information contained in the classification ready data, and combining factors such as task urgency and equipment load status, the priority is dynamically calculated to generate a task execution sequence using a multi-level feedback queue scheduling algorithm to achieve adaptive delivery;

[0075] Step S33: During data transmission, a file transfer mechanism based on the TCP protocol (such as FTP) or the Hypertext Transfer Protocol (HTTP) is used. Flow control is implemented through a sliding window mechanism, and a congestion avoidance algorithm is applied. At the same time, an MD5 checksum is generated for each data packet, and integrity verification is performed after transmission is completed. When data corruption is detected, the breakpoint resume process is automatically triggered to ensure the reliability of the data delivery process.

[0076] Step S34: After the data is distributed, start the device status monitoring program; specifically, continuously collect the device's operating status data through a heartbeat packet detection mechanism every 30 seconds, including key indicators such as CPU utilization, memory usage and network connection status, and perform correlation analysis on the collected status data and operation logs to generate status monitoring logs containing information such as timestamps, device identifiers and status values, and track the data lifecycle in real time.

[0077] In one embodiment, step S4: Based on the status feedback from the device or the status change event of the manufacturing execution system, a data retrieval process is triggered and executed. After confirming the secure deletion of the retrieved data, it is archived to the historical database. This specifically includes the following steps:

[0078] Step S41: Preset multiple recycling trigger conditions, including work instruction completion, order end, equipment offline, or manual triggering;

[0079] Step S42: When the system detects that any of the following conditions are met: work instruction completion, order completion, equipment offline, or manual triggering, send an encrypted deletion command to the target equipment and ensure reliable delivery of the command through a three-way handshake mechanism, while waiting for the equipment to return an operation confirmation signal;

[0080] Step S43: After receiving the confirmation signal, perform collaborative verification with the MES system. By comparing the device data list with the system records, confirm that the data has been completely cleared to prevent data residue caused by network anomalies or device failures and ensure information security.

[0081] Step S44: After verification, the confirmed deleted data is automatically classified and organized according to multiple dimensions such as type, version, and timestamp. Finally, the organized data is transferred to the historical database for long-term storage, supporting version backtracking and data analysis, and completing the entire recycling and archiving process.

[0082] Secondly, such as Figure 2 As shown, this application provides a PCB production tool data lifecycle management system for implementing the method described above, including a data acquisition and inspection module 100, an intelligent classification and storage module 200, an automatic distribution and execution module 300, and a status monitoring and recycling module 400. Through the collaborative work of these modules, the system achieves automated lifecycle management of PCB production tool data from input, classification, distribution to recycling. Specific functions are described below:

[0083] The data acquisition and inspection module 100 is used to receive the tool data of the audited PCB, perform digital signature and compliance checks on it, and store the verified tool data in the PCB production tool data library.

[0084] The intelligent classification and storage module 200 is communicatively connected to the data acquisition and inspection module 100. It is used to acquire online production information in the manufacturing execution system, match the tool data in the PCB production tool database with the online production information, classify according to a preset classification system, and generate classification-ready data with target paths.

[0085] The automatic delivery execution module 300 is communicatively connected to the intelligent classification and storage module 200. In response to production status events, it delivers classified ready data to the device specified by its target path, continuously monitors the status of the data on the device, and provides feedback on the status of the device.

[0086] The status monitoring and recycling module 400 is communicatively connected to the automatic delivery and execution module 300. It is used to trigger and execute the data recycling process based on the status feedback from the equipment or the status change event of the manufacturing execution system. After confirming the safe deletion of the recycled data, it is archived to the historical database.

[0087] The functions of each module in the above-mentioned automatic distribution and recycling management system for PCB production tool data correspond to the steps in the above-mentioned embodiment of the automatic distribution and recycling management method for PCB production tool data. Their functions and implementation processes will not be described in detail here.

[0088] Thirdly, embodiments of this application provide an automatic distribution and retrieval management device for PCB production tool data. The automatic distribution and retrieval management device for PCB production tool data can be a personal computer (PC), laptop computer, server, or other device with data processing capabilities.

[0089] In this embodiment of the application, the automatic distribution and retrieval management device for PCB production tool data may include a processor, a memory, a communication interface, and a communication bus.

[0090] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0091] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces. These interfaces are used for interconnecting components within the automatic distribution and retrieval management equipment for PCB production tool data, as well as for interconnecting the equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0092] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0093] The processor can be a general-purpose processor, which can call the automatic distribution and retrieval management program for PCB production tool data stored in the memory and execute the automatic distribution and retrieval management method for PCB production tool data provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the automatic distribution and retrieval management program for PCB production tool data is called can refer to the various embodiments of the automatic distribution and retrieval management method for PCB production tool data in this application, and will not be repeated here.

[0094] Fourthly, embodiments of this application also provide a readable storage medium.

[0095] The present application stores an automatic distribution and retrieval management program for PCB production tool data on a readable storage medium. When the automatic distribution and retrieval management program for PCB production tool data is executed by a processor, it implements the steps of the automatic distribution and retrieval management method for PCB production tool data as described above.

[0096] The method implemented when the automatic distribution and retrieval control procedure for PCB production tool data is executed can be referred to in the various embodiments of the automatic distribution and retrieval control method for PCB production tool data of this application, and will not be repeated here.

[0097] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for automatically distributing and managing the retrieval of PCB production tool data, characterized in that, Includes the following steps: Receive the audited PCB tool data, digitally sign and perform compliance checks on it, and store the verified tool data in the PCB production tool data library; The system acquires online production information from the manufacturing execution system, matches the tool information in the PCB production tool database with the online production information, and classifies them according to a preset classification system to generate classification-ready data with target paths. In response to production status events, classify ready data is sent to the devices specified by their target paths, and the status of the data on the devices is continuously monitored and feedback is received on the status of the devices. Based on the status feedback from the equipment or the status change event of the manufacturing execution system, the data retrieval process is triggered and executed. After the retrieved data is confirmed to be safely deleted, it is archived to the historical database.

2. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, The process of receiving and verifying the tool data for the PCB, performing digital signature and compliance checks, and storing the verified tool data in the PCB production tool data library specifically includes the following steps: Receive tool materials with an approval mark; Add digital signatures and timestamps to the tool data to generate traceable copies of the data; Store a copy of the data in a hierarchical PCB manufacturing tool database; Perform automated verification of the format, compatibility, and security of the incoming data copies, and store the verified tool data in the PCB production tool data library.

3. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, The process of acquiring online production information from the manufacturing execution system, matching tool data in the PCB production tool database with the online production information, and classifying the data according to a preset classification system to generate classification-ready data with target paths specifically includes the following steps: Real-time synchronization of online models, work indication status, and plant configuration from the manufacturing execution system; The tool matches the part number attribute with the synchronized online model number to obtain the matching results. Based on the matching results and plant configuration, a three-level model of "layer-part number-tool type" is adopted to assign a unique storage and distribution path to tool data, and generate classified ready data with target paths.

4. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, The process of responding to production status events, sending classified ready data to the devices specified in their target paths, and continuously monitoring the status of the data on the devices specifically includes the following steps: Monitor changes in production plans, order status, or equipment status within the manufacturing execution system as trigger events for issuance; If an event is triggered, the task of sending the data will be initiated based on the target path information carried by the classified ready data. The data will be sent to the target device using a transmission mechanism with breakpoint resume and integrity verification. After the data is distributed, the operating status of the device is continuously acquired through heartbeat detection, forming a status monitoring log.

5. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, The data retrieval process is triggered and executed based on the status feedback from the equipment or the status change event of the manufacturing execution system. After the retrieved data is securely deleted and confirmed, it is archived to the historical database. The specific steps include: Set the end of the work instruction or device offline as the trigger condition for recycling; When the conditions are met, a data deletion command is sent to the relevant device, and the system waits for a confirmation signal that the deletion operation was successful. After confirmation of deletion, all versions of the tool's data are categorized according to preset rules and moved to the historical archive.

6. The automatic distribution and retrieval management method for PCB production tool data as described in claim 3, characterized in that, Before responding to a production status event, sending classified ready data to the device specified by its target path, and continuously monitoring the status of the data on the device, the following steps are also included: Compare the version numbers of the tool data that have been classified with the version numbers of the currently active online models in the Manufacturing Execution System; If the versions are the same, the subsequent distribution process can continue.

7. The automatic distribution and retrieval management method for PCB production tool data as described in claim 3, characterized in that, In the step of acquiring online production information from the manufacturing execution system, matching tool data in the PCB production tool database with the online production information, and classifying them according to a preset classification system to generate classification-ready data with target paths, logically isolated storage spaces are created for different factories based on the factory configuration information obtained from the manufacturing execution system, ensuring that the tool data completes factory isolation during the matching stage.

8. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, All tool data is temporarily stored, verified, and version-managed through the PCB production tool data library before proceeding to subsequent processes.

9. The automatic distribution and retrieval management method for PCB production tool data as described in claim 1, characterized in that, The method constructs a digital twin of the tool data, enabling its lifecycle status to be synchronously mapped with the actual production progress of the physical production line.

10. An automatic distribution and retrieval management system for PCB production tool data, characterized in that, include: The data acquisition and inspection module is used to receive the tool data of the audited PCB, perform digital signature and compliance checks on it, and store the verified tool data in the PCB production tool data library. The intelligent classification and storage module is communicatively connected to the data acquisition and inspection module. It is used to acquire online production information in the manufacturing execution system, match the tool data in the PCB production tool database with the online production information, classify them according to a preset classification system, and generate classification-ready data with target paths. An automatic delivery execution module is communicatively connected to the intelligent classification and storage module. It is used to respond to production status events, deliver classified ready data to the device specified by its target path, continuously monitor the status of the data on the device, and provide feedback on the status of the device. The status monitoring and recycling module is connected in communication with the automatic delivery and execution module. It is used to trigger and execute the data recycling process based on the status feedback from the equipment or the status change event of the manufacturing execution system. After confirming the safe deletion of the recycled data, it archives it to the historical database.

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