A laser marking and main QR code information traceability system for automotive headrest assembly parts

Abstract

This invention relates to a laser marking and master QR code information traceability system for automotive headrest assembly parts, belonging to the field of automotive parts traceability technology. The system's laser marking unit identifies component parts based on a laser parameter control algorithm, dynamically adjusts laser marking parameters to generate a marking combination set, and marks the parts to generate part QR codes. The scanning and acquisition unit binds part traceability information with the part QR codes, identifies the part QR codes and generates relevant data, and transmits it to the information aggregation and encryption unit after verification. The information aggregation and encryption unit generates an assembly traceability integration package, using a layered encryption mechanism to generate hierarchically encrypted traceability information packages. The data storage and traceability unit stores the encrypted traceability information and generates the assembly master QR code, prints the assembly master QR code based on the laser marking parameters, and can decrypt and retrieve assembly and part traceability information upon scanning. This system realizes full-process traceability of the automotive headrest assembly and its components, improving traceability accuracy, security, and efficiency.

Description

Technical Field

[0001] This invention belongs to the field of automotive parts traceability technology, specifically relating to a laser marking and main QR code information traceability system for automotive headrest assembly parts. Background Technology

[0002] As an indispensable core safety component of car seats, car headrests are primarily used to support the head and neck of occupants in the event of a collision, sudden braking, or other emergencies, reducing the impact of inertia and lowering the risk of cervical spine injury. Their reliability and production consistency directly affect the driving safety of passengers and are a crucial part of the vehicle's passive safety system. With the rapid development of the automotive industry and the increasing demands of consumers for vehicle safety performance, automakers are implementing increasingly stringent quality control measures for components. Among these measures, the full lifecycle traceability management of the car headrest assembly and its constituent parts has become a core aspect of quality control. Specifically, traceability management needs to cover all stages, including parts procurement, production processing, assembly, factory testing, and after-sales maintenance. This ensures that in the event of quality problems, key information such as the source, production batch, processing technology, and quality inspection records of problematic parts can be quickly identified. It also allows for tracing anomalies in the production process, enabling timely and targeted measures such as recalls and rectifications to reduce quality risks. Furthermore, it facilitates compliance with industry regulatory inspections and ensures product compliance.

[0003] Currently, in the automotive headrest manufacturing sector, most small and medium-sized manufacturers still rely on traditional traceability methods, primarily manual recording and paper labeling. While some manufacturers have introduced simple electronic recording methods, the overall traceability system remains incomplete, exhibiting numerous unresolved flaws that severely impact traceability effectiveness. Traditional paper labeling methods often involve affixing paper labels with traceability codes to the surface of parts. These labels are made of fragile materials and are prone to deformation and detachment during the high-temperature, high-pressure processes of parts manufacturing. They are also easily worn and scratched during transportation and handling, leading to blurred or lost traceability information and hindering effective traceability queries. Furthermore, paper labels lack anti-counterfeiting features, making them susceptible to forgery and alteration, thus compromising the authenticity of traceability information. Manual recording requires operators to manually enter traceability information such as parts manufacturer, batch number, processing technology, and quality inspection results into paper ledgers or simple spreadsheets. This is not only inefficient and consumes a lot of manpower, but also prone to errors, omissions, and coding problems due to human negligence. Furthermore, traceability information from different stages is stored in different ledgers and terminals, lacking unified integration and management. Retrieving traceability information requires checking and searching one by one, which is cumbersome, time-consuming, and labor-intensive. It is difficult to achieve accurate association between the automotive headrest assembly and its constituent parts, and it is impossible to quickly trace all the parts information corresponding to a certain assembly, or to trace the assembly status of a certain part.

[0004] With the development of traceability technology, some large automotive headrest manufacturers have introduced laser marking traceability systems in an attempt to solve the shortcomings of traditional traceability methods. However, existing laser marking traceability systems still have many deficiencies and cannot meet the traceability needs of large-scale and refined production of automotive headrests. On the one hand, existing laser marking systems mostly use fixed marking parameters, which cannot be dynamically adapted and adjusted according to the material differences and surface conditions of the various components of a car headrest. Car headrests have many components, including metal brackets embedded in the core components, outer foam, fabric, and plastic connectors. Different materials have significantly different requirements for marking parameters such as laser energy and pulse width. Furthermore, some components have uneven surfaces or strong reflectivity. Fixed marking parameters can easily lead to insufficient marking clarity, incomplete or blurry QR codes, and subsequent scanning failures, affecting the smooth progress of the traceability process. On the other hand, the encryption and protection measures for traceability information are inadequate. Most systems only use a single encryption method for simple encryption of traceability information, failing to distinguish between core and auxiliary traceability data. They cannot adopt differentiated encryption strategies for information of different importance, making them prone to security risks such as leakage and tampering of traceability information. The leakage or tampering of core information such as component quality inspection records and production batches can distort the traceability results, negating the core meaning of traceability. Furthermore, existing laser marking traceability systems lack a unified master QR code identifier for the assembly. The QR codes of each part are independent of each other and have no clear correlation or mapping relationship. Operators need to scan and identify the QR code of each part one by one to obtain complete assembly traceability information. The traceability process is cumbersome and inefficient. It is impossible to retrieve the traceability information of the assembly and all parts with one click. It is difficult to adapt to the needs of batch traceability and rapid traceability in the mass production of automotive headrests, and it cannot meet the development requirements of automakers for intelligent and efficient traceability.

[0005] In summary, current methods for tracing automotive headrest assemblies and components, whether traditional manual recording, paper labeling, or existing laser marking traceability systems, all suffer from problems such as poor accuracy, low efficiency, information insecurity, cumbersome processes, and insufficient adaptability. These methods fail to meet the needs of full lifecycle traceability management for automotive headrests and are ill-suited to the automotive industry's trend towards high-quality, large-scale, and intelligent development. Therefore, an integrated traceability system is needed that enables precise laser marking of automotive headrest assemblies and their constituent parts, secure encryption of traceability information, accurate association between assemblies and parts, and rapid retrieval of traceability information. This system would address the various shortcomings of existing traceability methods, improve the traceability management system, and enhance the standardization, intelligence, and efficiency of automotive headrest component traceability, thereby meeting the quality control needs of automotive manufacturers and industry regulatory requirements. Summary of the Invention

[0006] To address the aforementioned problems in the existing technology, this invention provides a laser marking and main QR code information traceability system for automotive headrest assembly parts. The objective of this invention can be achieved through the following technical solutions: A laser marking and main QR code information traceability system for automotive headrest assembly parts includes: a laser marking unit, a scanning and acquisition unit, an information aggregation and encryption unit, and a data storage and traceability unit; The laser marking unit identifies the constituent parts based on the laser parameter control algorithm, dynamically adjusts the laser marking parameters to generate a marking combination set, and marks the parts to generate part QR codes. The scanning and collection unit is used to bind the part traceability information with the part QR code, identify the part QR code, generate a part traceability collection data package and a summary list of assembly part traceability, and transmit it to the information summary and encryption unit after verification. The information aggregation and encryption unit is used to generate an assembly traceability integration package, and uses a layered encryption mechanism to generate a hierarchical encrypted traceability information package; The data storage and traceability unit is used to store encrypted traceability information and generate a main QR code for the assembly. The main QR code for the assembly is printed based on the laser marking parameters. When the code is scanned, it can be decrypted to retrieve the traceability information of the assembly and parts.

[0007] Specifically, the laser marking unit includes a parameter recognition module and a marking execution module; The parameter recognition module locates the components of the car headrest, executes the recognition steps of the laser parameter control algorithm, obtains three types of parameters of the components: material, surface flatness, and reflectivity, and converts the parameter signals into digital electrical signals. The coding execution module receives the digital electrical signal, generates a coding combination set, adjusts the working state of the laser emitter, performs laser coding operation on the part according to the coding combination set, and generates a part QR code at a preset position on the part.

[0008] Specifically, the laser parameter control algorithm is executed by the parameter identification module. Based on the adaptive parameter matching logic, it acquires three key parameters: material, surface flatness, and reflectivity, and generates an original parameter dataset. The original parameter dataset is then denoised to remove invalid interference signals and extract effective parameter features to generate an effective parameter set. The system calls a dynamically updated parameter-coding parameter mapping database, stores preset coding parameters based on part material classification, and matches the laser pulse width and energy density parameters according to the parameter values ​​in the effective parameter set to generate the coding combination set.

[0009] Specifically, the scanning and data collection unit includes an information binding module, a QR code recognition module, and a list verification module; The information binding module obtains the part traceability information and performs the binding operation between the part traceability information and the part QR code; The QR code recognition module adjusts the focal length of the scanning lens to a preset matching distance and aligns it with the QR code on the part to perform the recognition operation. The list verification module receives data transmitted from the QR code recognition module and the information binding module, generates a summary list of assembly parts for traceability, and performs verification operations.

[0010] Specifically, the QR code recognition module adopts a multi-view scanning mode, controls the scanning lens to switch cyclically based on a preset angle gradient, stays at each angle for a preset duration and scans the QR code of the part from multiple angles, and each lens synchronously collects QR code image signals. The QR code image signals collected by each lens are spliced ​​and fused, the signal weights of each lens are set to be consistent, the scanning blind spots and signal interference caused by surface materials are filtered and a QR code image is generated, the encoded information in the QR code image is decoded, the underlying encoded data of the QR code is extracted and the encoding format verification and data integrity verification are performed.

[0011] Specifically, the information binding module acquires part traceability information, which includes the full name of the manufacturer, production batch number, specific processing parameters, and piece-by-piece quality inspection records. The part traceability information is stored in a temporary data cache, encoded, and a part traceability code is generated. Based on a two-way binding mechanism, the part traceability code is bound one-to-one with the underlying QR code of the corresponding part, and a binding relationship lookup table is generated.

[0012] Specifically, the list verification module obtains the decoded data transmitted by the QR code recognition module, the binding relationship lookup table, and the part traceability information, and generates a summary list of assembly parts traceability including part QR code encoding, corresponding traceability information, part type, and binding status; The assembly parts traceability summary list is sorted by part type. A preset standard list template is retrieved, including part quantity standards, coding format standards, and information field standards. The assembly parts traceability summary list is verified by a combination of field-by-field comparison and batch verification.

[0013] Specifically, the information aggregation and encryption unit includes an information integration module and an encryption processing module; The information integration module, based on the verification and approval summary list, the binding relationship comparison table, and the part traceability information, classifies and associates all data according to part type and production sequence, and stores the QR code code, traceability information, and binding status of the same part together to generate an assembly traceability integration package. The encryption processing module obtains the assembly traceability integration package, initiates a hierarchical encryption mechanism to perform hierarchical encryption on the assembly traceability integration package, and generates a hierarchical encrypted traceability information package.

[0014] Specifically, the hierarchical encryption mechanism filters the data in the assembly traceability integration package, selecting core traceability data, including parts quality inspection results, production batches, binding relationship comparison tables, and auxiliary traceability data, including basic information of manufacturers. These are stored in two independent data caches and encrypted. Dynamic verification codes are added to the two types of encrypted data. The verification codes are generated according to the data hash value. The core encrypted data, auxiliary encrypted data, and corresponding verification codes are packaged and integrated to generate a hierarchical encrypted traceability information package.

[0015] Specifically, the data storage traceability unit includes a data storage module, a master code generation module, and a decryption retrieval module; The data storage module acquires the hierarchical encrypted traceability information packet, stores it in a distributed storage node, and generates a storage address lookup table. The master code generation module obtains the storage address lookup table and basic assembly information, and performs the assembly master QR code generation operation. The decryption and retrieval module is in real-time standby mode. After receiving the scanning signal, it performs decryption and retrieval of traceability information after scanning.

[0016] Specifically, the master code generation module obtains the identification number of the car headrest assembly, and the identification number is a unique combination of letters and numbers; Based on the underlying encoding information of the assembly parts' QR codes, a hash calculation is performed to generate a hash value. The identification number and the hash value are then fused and encoded to generate the assembly master QR code. A corresponding association mapping relationship is established between the assembly master QR code encoding and the QR code encoding of each part. The association mapping relationship and the assembly master QR code encoding are stored in an encrypted association database.

[0017] Specifically, when the main code generation module prints the assembly main QR code, it completes the printing operation of the assembly main QR code at the preset printing position on the car headrest based on the laser marking parameters generated by the laser marking unit. The decryption and retrieval module obtains the scanning signal of the main QR code of the assembly and extracts the main QR code encoding from the scanning data. It initiates dual security verification, first verifying the encoding format and then verifying the encoding integrity. After the verification is passed, it performs a layered decryption operation, first decrypting the auxiliary encrypted data and then decrypting the core encrypted data. It retrieves the traceability information of each part through the mapping relationship in the encrypted association database, integrates and sorts the assembly traceability information and the traceability information of each part according to the production time sequence, and generates a traceability information query report.

[0018] The beneficial effects of this invention are as follows: This system, through the synergistic effect of laser marking units and laser parameter control algorithms, can dynamically identify key parameters of each component of an automotive headrest, generate a suitable marking combination set, achieve accurate marking of part QR codes, ensure that the QR codes are clear and identifiable, adapt to the marking needs of parts with different materials and surface conditions, solve the problems of poor parameter adaptability and poor marking effect of existing laser marking systems, and provide a reliable foundation for subsequent traceability and identification.

[0019] This system is equipped with a barcode scanning and data collection unit to achieve a one-to-one binding between part traceability information and part QR codes. At the same time, the system uses a list verification module to fully verify the collected data to ensure the integrity and accuracy of traceability information and avoid problems such as incorrect information binding and missing data. Compared with traditional manual recording methods, this system significantly improves the efficiency and reliability of traceability information collection and reduces errors caused by manual intervention.

[0020] This system employs a layered encryption mechanism through an information aggregation and encryption unit to perform hierarchical encryption processing on traceability information. It distinguishes between core and auxiliary traceability data and uses different encryption algorithms. At the same time, it adds a unique dynamic verification code to effectively prevent the leakage and tampering of traceability information, ensuring the security of traceability information and meeting the information security requirements of automotive parts traceability. Furthermore, the encryption process and information integration are seamlessly connected, improving data processing efficiency.

[0021] This system generates a master QR code for the assembly through a data storage traceability unit, establishes an association mapping relationship between the master QR code and the QR codes of each part, and enables one-click retrieval of traceability information for the assembly and each part. At the same time, it uses distributed storage nodes to back up and store encrypted traceability information, ensuring the security of traceability information storage and convenient retrieval. This solves the problems of scattered information and cumbersome retrieval in existing traceability systems, and realizes closed-loop traceability of the entire process of the automotive headrest assembly and its parts. Attached Figure Description

[0022] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0023] Figure 1 This is a system architecture diagram of a laser marking and main QR code information traceability system for automotive headrest assembly parts according to the present invention; Figure 2 This is a flowchart of the workflow in this invention. Detailed Implementation

[0024] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0025] Please see Figures 1-2A laser marking and main QR code information traceability system for automotive headrest assembly parts includes: a laser marking unit, a scanning and acquisition unit, an information aggregation and encryption unit, and a data storage and traceability unit. The laser marking unit identifies the constituent parts based on the laser parameter control algorithm, dynamically adjusts the laser marking parameters to generate a marking combination set, and marks the parts to generate part QR codes. The scanning and collection unit is used to bind the part traceability information with the part QR code, identify the part QR code, generate a part traceability collection data package and a summary list of assembly part traceability, and transmit it to the information summary and encryption unit after verification. The information aggregation and encryption unit is used to generate an assembly traceability integration package, and uses a layered encryption mechanism to generate a hierarchical encrypted traceability information package; The data storage and traceability unit is used to store encrypted traceability information and generate a main QR code for the assembly. The main QR code for the assembly is printed based on the laser marking parameters. When the code is scanned, it can be decrypted to retrieve the traceability information of the assembly and parts.

[0026] Specifically, the laser marking unit includes a parameter recognition module and a marking execution module. These two modules work together via an internal data link to ensure real-time synchronization between parameter recognition and marking operations, avoiding operational deviations caused by data transmission delays. After the parameter recognition module is activated, it first precisely locates each component of the car headrest, determining the marking area and scanning range for each component. Then, it initiates the core recognition step of the laser parameter control algorithm, controlling the non-contact scanning module to comprehensively scan the marking area of ​​each component, collecting three key parameters: material, surface flatness, and reflectivity. After collection, the analog parameter signals are converted into digital electrical signals via a signal conversion module. After removing noise interference, the signals are transmitted to the marking execution module. After receiving the processed digital electrical signal, the coding execution module immediately calls the parameter parsing program pre-stored inside the laser coding unit to parse and process the digital electrical signal, extract key parameter features, and match them to obtain a coding combination set suitable for the part. Then, according to the coding combination set, the working state of the laser emitter is adjusted, the laser emission angle and coding accuracy are calibrated, and the laser coding operation is performed on the preset coding area of ​​the part according to the coding combination set. Finally, a clear and identifiable part QR code is generated at the preset position of the part.

[0027] Specifically, the laser parameter control algorithm is executed by the algorithm chip built into the parameter recognition module. It employs adaptive parameter matching logic, dynamically adjusting the matching strategy based on parameter differences between different parts. The parameter recognition module controls a non-contact scanning module to perform a comprehensive non-contact scan of all components of the automotive headrest, including the metal support embedded within the core headrest component. During the scan, three key parameters are simultaneously captured: material, surface flatness, and reflectivity. All collected parameters are integrated to form a raw parameter dataset, which is stored in the temporary buffer of the parameter recognition module. Subsequently, an adaptive filtering algorithm is used to denoise the raw parameter dataset, filtering out environmental interference signals and device noise generated during the scan. After removing invalid interference data, the effective features of each parameter are extracted and integrated to form a valid parameter set. The parameter recognition module calls a dynamically updated parameter-coding parameter mapping database. This database stores preset coding parameters for various parts according to their material. The parameter data can be updated in real time according to actual production needs. Based on the various parameter values ​​in the effective parameter set, the module matches the coding parameters such as laser pulse width and energy density that are suitable for the part in the database. These parameters are combined to form a complete coding combination set, which is then transmitted to the coding execution module through a dedicated data transmission interface.

[0028] Specifically, the barcode scanning and acquisition unit includes an information binding module, a QR code recognition module, and a list verification module. Each module adopts a modular integrated design, achieving high-speed data interaction through an internal bus to ensure consistent operation and improve overall scanning efficiency. After startup, the information binding module connects to the operator's information input terminal via an information input interface, receiving the part traceability information corresponding to each part entered by the operator. It performs preliminary screening of the entered information, and after confirming its completeness, performs the binding operation between the part traceability information and the part's QR code, ensuring that each part's QR code corresponds to unique part traceability information. After startup, the QR code recognition module first performs self-calibration, adjusting the scanning lens focal length to a suitable scanning distance for the part's QR code to ensure scanning clarity. Then, it aligns the QR code on the part's surface to perform recognition, simultaneously capturing the QR code image and performing preliminary processing. The list verification module receives identification data transmitted by the QR code recognition module, binding data transmitted by the information binding module, and part traceability information through the internal bus. After integrating all the received data, it automatically generates a summary list of assembly parts traceability. The list contains the relevant traceability information and binding status of all parts. Then, it calls a preset verification program to perform a comprehensive verification of the summary list. After the verification is completed and the list is confirmed to be qualified, the relevant data is completely transmitted to the information aggregation and encryption unit through a dedicated data transmission line.

[0029] Specifically, the QR code recognition module employs a multi-view scanning mode, effectively addressing the blind spot problem caused by the installation location and surface material of the part's QR code. The module controls multiple scanning lenses to cyclically switch at preset angle gradients, pausing at each angle for a preset duration to ensure comprehensive, blind-spot-free scanning of the part's QR code. Each scanning lens simultaneously acquires the image signal of the part's QR code, and preliminary enhancement processing is performed on the image signal during acquisition to improve image clarity. Subsequently, a weighted fusion algorithm is used to stitch and fuse the QR code image signals acquired by each scanning lens, ensuring consistent signal weights across lenses. This effectively filters out scanning blind spots and signal interference caused by reflections from the part's surface material, integrating them into a clear and complete QR code image. The QR code recognition module calls the built-in QR code decoding program to decode the encoded information in the spliced ​​and merged QR code image, extract the complete encoded data at the bottom layer of the QR code, and then perform two verification operations on the extracted encoded data: encoding format verification and data integrity verification. After confirming that the encoding format meets the preset standard and that the data is complete and without missing parts, the QR code recognition operation of the part is completed. The decoded complete encoded data is then transmitted to the bill of quantities verification module through the internal bus, providing basic data support for bill of quantities verification and data integration.

[0030] Specifically, the information binding module establishes a stable connection with the information input terminal through a dedicated information input interface, receiving part traceability information entered by the operator. This part traceability information includes the full name of the manufacturer, production batch number, specific processing parameters, and piece-by-piece quality inspection records—all information related to part production. The information binding module stores the received part traceability information in an internal temporary data cache, backing up the information during the caching process to prevent loss. Subsequently, it calls a built-in standardized encoding algorithm to uniformly encode the entered traceability information according to relevant industry standards, converting traceability information in different formats into a unified standard encoding form, generating a unique and non-repeatable part traceability code, ensuring the uniqueness of each part's traceability code. The information binding module adopts a two-way binding mechanism, which binds the generated part traceability code to the corresponding part's QR code underlying code one-to-one. During the binding process, the code format is first checked to see if it conforms to the preset code standard. After confirming that the format is correct, the correspondence between the code and the corresponding part is checked to see if it is complete and accurate. After both checks are correct, the binding relationship is written to the encrypted storage unit for secure storage. At the same time, a binding relationship lookup table is generated to clearly record the correspondence between each part traceability code and the part's QR code code, which is convenient for subsequent query and verification.

[0031] Specifically, the list verification module receives decoded data from the QR code recognition module, a binding relationship lookup table from the information binding module, and parts traceability information via an internal high-speed bus. It categorizes and organizes all received data to ensure it is orderly and traceable. Then, it calls the built-in list generation program to automatically generate a summary list of assembly parts traceability based on the organized data. This list includes key information such as the QR code for each part, its corresponding traceability information, part type, and binding status. The list is categorized and sorted by part type for easy viewing and subsequent verification by operators. The list verification module retrieves a preset standard list template, which includes verification criteria such as part quantity standards, encoding format standards, and information field standards. It comprehensively verifies the generated summary list using a combination of field-by-field comparison and batch verification. It checks each field and each piece of data in the list individually, while simultaneously performing batch verification on the entire list to identify issues such as missing data, encoding errors, and incorrect binding. If the verification fails, a detailed verification error report will be automatically generated, clearly indicating the location and type of the error. The generated list and error report will be returned to the barcode scanning and data collection stage for the operator to correct and then re-verify. If the verification passes, the verification status will be marked as passed, completing the entire verification process and providing a qualified data foundation for subsequent data transmission.

[0032] Specifically, the information aggregation and encryption unit includes an information integration module and an encryption processing module. These two modules work in tandem via a dedicated data interface to ensure seamless integration of information aggregation and encryption processing, thereby improving data processing efficiency. The information integration module connects to the barcode scanning and acquisition unit via a dedicated data transmission line. It receives the verification and acceptance summary list, binding relationship comparison table, and parts traceability information transmitted by the barcode scanning and acquisition unit. It comprehensively reviews all received data, removing duplicates and invalid data to ensure data uniqueness and integrity. Subsequently, it calls the built-in data integration program to classify and associate all data according to part type and production sequence. It associates and stores the QR code encoding of the same part, its corresponding parts traceability information, and binding status, forming part-level associated data. Then, it integrates all parts' associated data with the assembly's basic information to generate a complete assembly traceability integration package containing the assembly's basic information and all parts' associated data. The assembly traceability integration package clearly records the relevant traceability data of the assembly and each part, facilitating subsequent encryption and traceability retrieval. The encryption processing module receives the assembly traceability integration package through the data interface and immediately activates the built-in hierarchical encryption mechanism to perform hierarchical encryption processing on the assembly traceability integration package. The encrypted core encrypted data and auxiliary encrypted data are integrated to form a hierarchical encrypted traceability information package. After encryption, the hierarchical encrypted traceability information package is transmitted to the data storage traceability unit through a dedicated data channel to ensure the security of data transmission and prevent data leakage or tampering.

[0033] Specifically, the layered encryption mechanism is integrated within the encryption processing module, working collaboratively with other functional modules to ensure smooth execution of the encryption process. Upon receiving the assembly traceability integration package transmitted by the information integration module via the data interface, the encryption processing module immediately initiates the layered encryption process. First, it calls the built-in data filtering program to comprehensively and meticulously analyze all data in the assembly traceability integration package, classifying and filtering it according to the importance and security requirements of the traceability information, clearly distinguishing between core traceability data and auxiliary traceability data. Core traceability data includes critical data such as parts quality inspection results, production batch information, and a table showing the binding relationship between each part and a QR code, directly affecting the accuracy and security of traceability. Auxiliary traceability data includes non-core data such as basic manufacturer information, having a smaller impact on traceability security. After filtering, the core traceability data and auxiliary traceability data are stored in two independent data caches, physically isolated to effectively prevent interference between the two types of data. Simultaneously, the data in the caches is temporarily encrypted to prevent data leakage during the caching process. The encryption module then performs encryption operations on the data in the two caches. High-strength encryption algorithms are used to encrypt the core traceability data, enhancing its security. Conventional encryption algorithms are used for the auxiliary traceability data, improving encryption efficiency while ensuring basic security. During encryption, a unique dynamic checksum is added to each type of encrypted data. This checksum is generated based on the hash value of the corresponding encrypted data, forming a unique correspondence and serving as a data integrity verification tool during subsequent decryption. Finally, the encryption module packages and integrates the encrypted core data, auxiliary encrypted data, and corresponding dynamic checksums into a complete hierarchical encrypted traceability information package. This ensures that the package contains all encrypted data and verification information, supporting integrity verification during subsequent data storage and decryption retrieval.

[0034] Specifically, the data storage and traceability unit includes a data storage module, a master code generation module, and a decryption and retrieval module. It adopts an integrated storage-generation-retrieval design, with each module sharing an internal high-speed data bus to achieve rapid data interaction and collaborative operation. The data storage module receives hierarchical encrypted traceability information packets transmitted by the information aggregation and encryption unit through a dedicated data channel. It performs preliminary verification of the received information packets, confirming their integrity and undamaged state. Then, it calls the built-in encrypted storage program to store the hierarchical encrypted traceability information packets in a distributed storage node. The distributed storage node employs a multi-node backup design to ensure the security and reliability of data storage. Simultaneously, it generates a storage address lookup table to record the storage location of the hierarchical encrypted traceability information packets for subsequent retrieval. The master code generation module receives the storage address lookup table and assembly basic information through a data interface. It parses and processes the received data, extracts key information, and then initiates the master QR code generation program to perform the assembly master QR code generation operation, ensuring that the generated assembly master QR code uniquely corresponds to the headrest assembly. The decryption and retrieval module is in real-time standby mode, continuously monitoring the scanning signal transmitted by the scanning device. Upon receiving the scanning signal, it is immediately awakened and performs the decryption and traceability information retrieval operations after scanning, quickly responding to scanning needs and ensuring rapid retrieval of traceability information.

[0035] Specifically, the master code generation module establishes a connection with the assembly production traceability system through a dedicated data interface. It extracts the unique identification number of the automotive headrest assembly from this system. This unique identification number is an alphanumeric combination and is unique, uniquely identifying the headrest assembly. After extraction, the unique identification number is encrypted to prevent leakage. Subsequently, the master code generation module calls the built-in encoding acquisition program to collect the underlying encoding information of all assembly parts' QR codes via the internal data bus. All collected encoding information is comprehensively processed, redundant information is removed, and hash calculations are performed to generate a unique hash value, ensuring a unique correspondence between the hash value and the combination of all part QR code codes. The master code generation module then calls the fusion encoding program to fuse the encrypted assembly-specific identification number with the generated hash value, generating the assembly master QR code according to relevant industry standards. The generated assembly master QR code contains relevant encoding information for the assembly and each part, enabling one-click traceability. Then, the association mapping program is invoked to establish a one-to-one correspondence between the main QR code of the assembly and the QR codes of each part, clarifying the correspondence between the assembly and each part. The established mapping relationship and the main QR code of the assembly are stored together in the encrypted association database. The encrypted association database adopts an encrypted storage design to ensure the security of the mapping relationship and the coding information, and facilitates the rapid matching of information of each part when decrypting and retrieving it later.

[0036] Specifically, when the master code generation module performs the assembly master QR code printing operation, it retrieves the laser marking parameters generated by the laser marking unit through the internal high-speed data bus. These laser marking parameters include key parameters such as laser pulse width, energy density, and scanning speed. The retrieved marking parameters are verified, and after confirming parameter compatibility, the marking parameters are transmitted to the laser marking execution component. Simultaneously, the working state of the laser marking execution component is adjusted, and the printing position and printing accuracy are calibrated. Based on these laser marking parameters, the assembly master QR code is printed at the preset printing position on the car headrest, ensuring that the printed assembly master QR code is clear, complete, and identifiable. After receiving the scanning signal of the assembly master QR code, the decryption and retrieval module immediately extracts the master QR code encoding from the scanning data. The extracted master QR code encoding is initially processed, and then a dual security verification process is initiated. First, the format of the master QR code encoding is verified to conform to the preset standard. After confirming that the format is correct, the integrity of the encoding is verified to prevent tampering or loss of the encoding. After successful dual security verification, the decryption and retrieval module retrieves the corresponding encryption key stored in the encryption processing module via a dedicated data interface. The retrieved key undergoes security verification; once confirmed to be correct, it is used to perform layered decryption of the hierarchical encrypted traceability information package in the data storage module. First, auxiliary encrypted data is decrypted, followed by the core encrypted data, ensuring the orderly and secure decryption process. After decryption, the associated mapping matching algorithm is invoked. Through the mapping relationships in the encrypted association database, the traceability information corresponding to each part is quickly matched and retrieved. The assembly traceability information and the traceability information of each part are integrated and sorted according to production time sequence, forming a clear and intuitive traceability information query report, which is simultaneously presented to the barcode scanning device terminal for easy viewing of traceability details by operators.

[0037] This embodiment discloses a laser marking and main QR code information traceability system for automotive headrest assembly parts, including a laser marking unit, a scanning and acquisition unit, an information aggregation and encryption unit, and a data storage and traceability unit. Each unit is modularly integrated and achieves coordinated linkage through an internal high-speed data bus. The specific implementation process is as follows, where the material coefficient is α, the surface flatness coefficient is β, the reflectivity coefficient is γ, the filtering coefficient is k, the encryption key coefficient is m, and the hash calculation coefficient is n. All parameters are positive numbers and meet the relevant industry standards.

[0038] 1. Specific implementation of the laser marking unit The laser marking unit includes a parameter recognition module and a marking execution module. The two modules work together through an internal data link. The core of the module is to execute a laser parameter control algorithm to complete the parameter acquisition, marking combination generation, and marking of QR codes on the various components of the car headrest (including the metal bracket embedded in the core headrest, the outer foam, the fabric, and the plastic connectors). The specific process is as follows: Parameter Acquisition and Preprocessing: After the parameter recognition module is started, it accurately locates each component of the car headrest, determines the coding area and scanning range of each component, and then controls the non-contact scanning module to perform a comprehensive non-contact scan of the coding area of ​​each component, simultaneously acquiring three key parameters of each component: material coefficient α, surface flatness coefficient β, and reflectivity coefficient γ. After acquisition, the three analog parameter signals are converted into digital electrical signals through the signal conversion module to avoid interference during analog signal transmission.

[0039] Parameter noise reduction calculation: To remove environmental interference signals and equipment noise generated during the scanning process, the parameter identification module performs noise reduction processing on the acquired raw parameter dataset (α, β, γ) using an adaptive filtering algorithm. The filtering calculation process is as follows: First, the filtering coefficient is set to k (k is a positive number greater than 0 and less than 1). Based on the adaptive filtering formula, the original parameters are corrected. The calculation formulas for the corrected parameters are as follows: Corrected material coefficient , where α0 is the standard reference coefficient for this type of material; Corrected surface flatness coefficient , where β0 is the standard reference coefficient for the surface flatness of the part; Corrected reflectivity Where γ0 is the standard reference coefficient of the reflectivity of this type of material; Through the above calculations, invalid interference data in the original parameters are removed, effective parameter features are extracted, and integrated to form an effective parameter set (α1, β1, γ1), ensuring the accuracy of subsequent coding parameter matching.

[0040] 1.3 Coding Combination Set Generation Calculation: The parameter recognition module calls the dynamically updated parameter-coding parameter mapping relationship database. This database stores the preset coding parameters (laser pulse width, energy density) corresponding to various parts according to their material. Based on the effective parameter set (α1, β1, γ1), the coding parameters suitable for the part are calculated through the parameter matching algorithm to generate the coding combination set. The specific process is as follows: Let the laser pulse width be T and the energy density be E. Both are linearly related to α1, β1, and γ1 in the effective parameter set. The correlation formula is: Where a, b, and c are preset correlation coefficients, determined by coding tests of different part materials to ensure that the pulse width is adapted to the part material and surface condition; d, e, and f are preset correlation coefficients that match a, b, and c to ensure that the energy density can achieve clear marking without damaging the surface of the parts; Through the above calculations, the laser pulse width T and energy density E suitable for the current part are obtained. The two are combined to form a complete coding combination set (T, E), which is then transmitted to the coding execution module through a dedicated data transmission interface.

[0041] 1.4 Part QR Code Marking: After receiving the marking combination set (T, E), the marking execution module adjusts the working state of the laser emitter, calibrates the laser emission angle and marking accuracy, and performs laser marking operation on the preset marking area of ​​the part according to the marking combination set (T, E), generating a clear and identifiable part QR code at the preset position of the part. Each part corresponds to a unique part QR code, and the QR code code corresponds precisely to the part itself, providing a foundation for subsequent scanning and traceability.

[0042] 2. Specific implementation of the QR code scanning and data collection unit The QR code scanning and data collection unit includes an information binding module, a QR code recognition module, and a list verification module. Each module achieves high-speed data interaction through an internal bus, completing the binding of part traceability information with part QR codes, part QR code recognition, generation and verification of the assembly part traceability summary list. The specific process is as follows: 2.1 Binding and Encoding Calculation of Part Traceability Information and Part QR Codes: The information binding module receives part traceability information (full name of manufacturer, production batch number, specific processing parameters, and piece-by-piece quality inspection records) entered by operators through a dedicated information input interface. It stores the received traceability information in a temporary data cache and backs it up. Then, it calls the built-in standardized encoding algorithm to uniformly encode the entered traceability information according to relevant industry standards, generating a unique part traceability code. The specific encoding calculation process is as follows: Suppose that the part traceability information contains p types of basic information, and the corresponding code value for each type of information is S1, S2, ..., S... p The standardized coding algorithm integrates various information codes into a unique part traceability code C through weighted summation. The calculation formula is as follows: C = g1 × S1 + g2 × S2 + ... + g p ×S p Where g1, g2, ..., g p These are weighting coefficients for various types of information. The weighting coefficients are set according to the importance of the information. Core information (such as quality inspection records and production batches) has a greater weighting coefficient than auxiliary information (such as basic information about the manufacturer), and the weighting coefficients satisfy g1 + g2 + ... + g p =1; After encoding is completed, a two-way binding mechanism is used to bind the part traceability code C one-to-one with the corresponding part's QR code underlying code D. Double verification is performed during the binding process, as follows: First, the encoding format is checked. The standard threshold for the encoding format is set to H. The format check value of the encoding C is calculated as F = CmodH. If F = 0, the encoding format conforms to the preset standard; if F ≠ 0, the encoding is returned to be re-encoded. After the format verification passes, the corresponding relationship verification is performed, and the binding matching value M = C × h + D × i is calculated, where h and i are preset matching coefficients. The matching threshold is set to M0. If M ≥ M0, the binding corresponding relationship is complete and accurate; if M < M0, the binding relationship is adjusted and the verification is performed again. After both verifications are successful, the binding relationship (C, D) is written into the encrypted storage unit, and a binding relationship lookup table is generated to clearly record the correspondence between the traceability code of each part and the QR code code of the part.

[0043] 2.2 Part QR Code Recognition and Signal Processing Calculation: The QR code recognition module adopts a multi-view scanning mode, controlling multiple scanning lenses to cyclically switch according to a preset angle gradient to scan the part QR code from all directions. Each lens synchronously acquires the QR code image signal. After acquisition, the signals acquired by each lens are stitched and fused using a weighted fusion algorithm. The specific calculation process is as follows: Suppose there are q scanning lenses, and the signal strengths of the QR code images captured by each lens are I1, I2, ..., I... q Assuming all lens signals have the same weight of 1 / q, the fused image signal strength is: I 融合 =(I1+I2+...+I q ) / q; Through the above calculations, signal interference caused by scanning blind spots and reflections from the surface material of the parts is filtered out, generating a clear and complete QR code image. Then, the built-in QR code decoding program is called to decode the encoded information in the fused QR code image, extract the underlying QR code D, and perform data integrity verification on the extracted code D. The verification calculation is as follows: Set the coding integrity check coefficient to j, calculate the coding integrity value K=D×j, and set the integrity threshold to K0. If K≥K0, the coding data is complete and without missing parts; if K<K0, then rescan and identify. After successful verification, the part's QR code is identified, and the decoded code D is transmitted to the list verification module via the internal bus.

[0044] 2.3 Assembly Parts Traceability Summary List Generation and Verification Calculation: The list verification module receives decoded data D transmitted by the QR code recognition module, binding relationship comparison table (C, D) transmitted by the information binding module, and part traceability information through the internal high-speed bus. It classifies and organizes all received data, calls the list generation program to generate the assembly parts traceability summary list, and sorts the list by part type. The list includes key information such as part QR code code D, part traceability code C, part type, and binding status.

[0045] After the list is generated, a preset standard list template is invoked, and a comprehensive check of the list is performed using a combination of field-by-field comparison and batch verification. The specific verification calculations are as follows: Field-by-field comparison: Suppose there are r fields in the list, and the standard value of each field is Z1, Z2, ..., Zn. r The actual values ​​of the corresponding fields in the list are Y1, Y2, ..., Y... r Calculate the alignment deviation value for each field. , ... The deviation threshold is set to ΔZ0. If all ΔZ ≤ ΔZ0, the field is considered to be qualified; if there is any ΔZ > ΔZ0, the field is considered to be unqualified. Batch validation: Calculate the overall validation value of the list Q = (number of qualified fields / r) × 100%, and set the batch validation threshold to Q0. If Q ≥ Q0, the batch validation of the list is qualified; if Q < Q0, the batch validation of the list is unqualified. Only when both field-by-field comparison and batch verification are qualified can the list be deemed qualified, and the verification status be marked as passed. The relevant data (list, binding relationship comparison table, parts traceability information) are then transmitted to the information aggregation and encryption unit via a dedicated data transmission line. If the verification fails, a verification error report is generated, clearly marking the erroneous fields and deviation values. The list and error report are then returned to the barcode scanning and collection stage for correction and re-verification.

[0046] 3. Specific Implementation of the Information Aggregation and Encryption Unit The information aggregation and encryption unit includes an information integration module and an encryption processing module. The two modules work together bidirectionally through a dedicated data interface to complete the generation of the assembly traceability integration package, the generation of layered encryption and hierarchical encryption traceability information packages. The specific process is as follows: 3.1 Assembly Traceability Integration Package Generation: The information integration module receives the verified data (assembly parts traceability summary list, binding relationship comparison table, and parts traceability information) transmitted by the barcode scanning and acquisition unit through a dedicated data transmission line. It comprehensively reviews all received data, removing duplicates and invalid data. Then, it calls the built-in data integration program to classify and associate all data according to part type and production sequence. It associates and stores the QR code D, parts traceability code C, parts traceability information, and binding status of the same part, forming part-level associated data. Finally, it integrates all the associated data of all parts with the basic assembly information to generate a complete assembly traceability integration package containing the basic assembly information and all parts' associated data. The integration package clearly records the relevant traceability data of the assembly and each part, providing a complete data foundation for subsequent encryption processing.

[0047] 3.2 Layered Encryption and Hierarchical Encryption Traceability Information Packet Generation and Calculation: After receiving the assembly traceability integration package, the encryption processing module activates the built-in layered encryption mechanism to perform hierarchical encryption processing on the assembly traceability integration package. The specific encryption process is as follows: 3.2.1 Data Filtering: The built-in data filtering program is invoked to filter all data in the assembly traceability integration package according to importance, distinguishing between core traceability data (parts quality inspection records, production batches, binding relationship comparison tables) and auxiliary traceability data (manufacturer basic information). The two types of data are stored in two independent isolated data caches to avoid mutual interference.

[0048] 3.2.2 Hierarchical Encryption Calculation: Core traceability data is encrypted using a high-strength encryption algorithm, while auxiliary traceability data is encrypted using a conventional encryption algorithm. Both encryption processes are based on a preset encryption key, and the specific calculations are as follows: Let the core traceability data be X1, and the high-strength encryption key be m1 (m1=m×k1, k1 is the core key coefficient). The calculation formula for the core encrypted data X1' is: X1'=X1×m1+s, where s is the preset encryption offset to ensure the encryption security of the core data. Let the auxiliary tracing data be X2, and the regular encryption key be m2 (m 22 =m×k2, where k2 is the auxiliary key coefficient (k2 < k1), and the auxiliary encrypted data X 22 The calculation formula for ' is: X2' = X2 × m2 + t, where t is the preset encryption offset, which matches s, taking into account both auxiliary data security and encryption efficiency; After encryption, a unique dynamic checksum is added to both the core encrypted data X1' and the auxiliary encrypted data X2'. The checksum is generated based on the hash value of the corresponding encrypted data, as follows: The core encrypted data verification code V1 = hash(X1') × n, where hash(X1') is the hash value of the core encrypted data X1', and n is the hash calculation coefficient; The auxiliary encrypted data verification code V2 = hash(X2') × n, where hash(X2') is the hash value of the auxiliary encrypted data X2', which is consistent with the hash calculation coefficient of the core encrypted data; The verification code forms a unique correspondence with the corresponding encrypted data, which is used for data integrity verification during subsequent decryption.

[0049] 3.2.3 Generation of hierarchical encrypted traceability information package: The core encrypted data X1', auxiliary encrypted data X2' and the corresponding verification codes V1 and V2 are packaged and integrated to generate a complete hierarchical encrypted traceability information package (X1', V1, X2', V2), which is transmitted to the data storage traceability unit through a dedicated data channel to ensure the security of data transmission.

[0050] 4. Specific Implementation of Data Storage Traceability Unit The data storage and traceability unit includes a data storage module, a master code generation module, and a decryption and retrieval module. It adopts an integrated storage-generation-retrieval design, with each module sharing an internal high-speed data bus. It completes the hierarchical encrypted traceability information packet storage, generation and printing of the master QR code, scanning and decryption, and retrieval of traceability information. The specific process is as follows: 4.1 Storage of Hierarchical Encrypted Traceability Information Packets: The data storage module receives hierarchical encrypted traceability information packets (X1', V1, X2', V2) transmitted by the information aggregation and encryption unit through a dedicated data channel, and performs preliminary verification on the received information packets as follows: Calculate the packet integrity value U = (X1' + X2') × v, where v is the integrity check coefficient. Set the integrity threshold to U0. If U ≥ U0, the packet is intact and undamaged; if U < U0, the packet is received again. After successful verification, the built-in encrypted storage program is invoked to store the hierarchical encrypted traceability information package to a distributed storage node. A multi-node backup design is adopted to ensure data storage security. At the same time, a storage address lookup table is generated to record the storage location of the hierarchical encrypted traceability information package for easy retrieval later.

[0051] 4.2 Assembly Main QR Code Generation, Calculation, and Printing: The main code generation module receives the storage address lookup table and basic assembly information through a dedicated data interface, and performs the assembly main QR code generation and printing operations. The specific operation process is as follows: 4.2.1 Assembly-Specific Identification Number Extraction and Encryption: The unique identification number G of the automotive headrest assembly is extracted from the assembly production traceability system. This number is a unique combination of letters and numbers. The unique identification number G is encrypted using the following formula: G'=G×m3+u, where m3 is the identification encryption key (m3=m×k3, k3 is the identification key coefficient), and u is the encryption offset to prevent identification leakage.

[0052] 4.2.2 Part QR Code Encoding Hash Calculation: The built-in encoding acquisition program is invoked to collect the underlying encodings D1, D2, ..., D of all assembled part QR codes. q (q is the number of parts). All collected codes are processed, redundant information is removed, and a hash calculation is performed to generate a unique hash value H. The calculation formula is: H = hash(D1 + D2 + ... + D) q )×n, where hash() is the hash calculation function and n is the hash calculation coefficient, which is consistent with the hash calculation coefficient of the encryption verification code, to ensure that the hash value uniquely corresponds to the combination of all parts' QR code codes.

[0053] 4.2.3 Assembly Main QR Code Fusion Encoding: The fusion encoding program is invoked to fuse the encrypted assembly-specific identifier G' with the generated hash value H to generate the assembly main QR code J. The fusion calculation formula is: J = G' × p + H × q, where p and q are fusion coefficients, determined by the QR code encoding standard to ensure that the fusion encoding complies with relevant industry standards. The generated assembly master QR code contains the relevant encoding information of the assembly and each part.

[0054] 4.2.4 Establishing Association Mapping Relationships: Call the association mapping program to establish the main QR code J of the assembly and the QR codes D1, D2, ..., D1 of each component. q The one-to-one correspondence mapping relationship is calculated as follows: J and D i The mapping value L i =J×w+D i ×v, where w and v are mapping coefficients, i = 1, 2, ..., q, and the mapping threshold is set to L0. If L i If L ≥ L0, then the mapping relationship holds; if L i If <L0, then re-establish the mapping; Once all mapping relationships are established, the mapping relationships and the assembly master QR code J are stored together in the encrypted associated database to ensure the security of the mapping relationships and encoding information.

[0055] 4.2.5 Assembly Main QR Code Printing: The main code generation module retrieves the laser marking parameters (T, E) generated by the laser marking unit through the internal high-speed data bus, and verifies the retrieved marking parameters. The verification calculation formula is: T check value = T×t1+t2, E check value = E×e1+e2, where t1, t2, e1, and e2 are check coefficients. The check thresholds are set to T0 and E0. If T check value ≤ T0 and E check value ≤ E0, the parameters are adapted; otherwise, the parameters are adjusted and the check is re-verified. After the parameter verification is passed, the coding parameters (T, E) are transmitted to the laser coding execution component. The component's working status is adjusted, and the printing position and printing accuracy are calibrated. Based on the laser coding parameters, the main QR code of the assembly is printed at the preset printing position on the car headrest, ensuring that the printed main QR code of the assembly is clear, complete, and recognizable.

[0056] 4.3 QR code decryption and traceability information retrieval calculation: The decryption and retrieval module is in real-time standby mode. After receiving the main QR code scanning signal from the scanning device, it immediately performs decryption and traceability information retrieval operations. The specific process is as follows: 4.3.1 Extraction and Dual Verification of Main QR Code Encoding: Extract the main QR code encoding J from the scanned data. Perform preliminary processing on the extracted encoding J, and then initiate dual security verification. The first step is to verify the encoding format by calculating the format verification value F_J = J mod H_J, where H_J is the standard threshold for the encoding format. If F_J = 0, the format is qualified. The second step is to verify the encoding integrity by calculating the integrity value K_J = J × j_J + k_J, where j_J and k_J are integrity verification coefficients. Set the integrity threshold to K_J0. If K_J ≥ K_J0, the encoding is complete. After both verifications pass, proceed to the decryption process.

[0057] 4.3.2 Encryption Key Retrieval and Hierarchical Decryption Calculation: The corresponding encryption keys m1 and m2 stored in the encryption processing module are retrieved through a dedicated data interface. The retrieved keys are then subjected to security verification using the following formula: m1'=m1×s1+s2, m2'=m2×s3+s4, where s1, s2, s3, and s4 are key verification coefficients. The key verification threshold is set to m0. If m1'≥m0 and m2'≥m0, then the key is correct. After key verification, the key is used to decrypt the hierarchically encrypted traceability information packets in the data storage module in layers: Decryption of core source data: X1=(X1'-s) / m1, where X1' is the core encrypted data, s is the encryption offset, and m1 is the core encryption key; Decryption of auxiliary tracing data: X2=(X2'-t) / m2, where X2' is the auxiliary encrypted data, t is the encryption offset, and m2 is the auxiliary encryption key; After decryption, the integrity of the decrypted data is verified using a unique dynamic checksum: Core data verification: V1' = hash(X1) × n. If V1' = V1, then the core data is completely decrypted. Auxiliary data verification: V2'=hash(X2)×n, if V2'=V2, then the auxiliary data is completely decrypted; After both verifications pass, the decrypted data is confirmed to be complete and error-free.

[0058] 4.3.3 Source Information Retrieval and Integration: The associated mapping matching algorithm is invoked, and the mapping relationships (J and each D) in the encrypted associated database are used. i The mapping value L i Quickly match and retrieve the traceability information corresponding to each part, and calculate the matching retrieval value M. i =L i ×x+J×y, where x and y are the coefficients, if M i If the value is greater than or equal to M0 (M0 is the retrieval threshold), then the traceability information of the corresponding part is successfully retrieved. After retrieval, the assembly traceability information (the encrypted and decrypted G' corresponding to the original G and the assembly basic information) and the traceability information of each part (the decrypted X1, X2, and part codes and traceability codes) are integrated and sorted according to the production time sequence. The integration calculation formula is as follows: The integrated sorting value P_i = assembly information weight × A + part information weight × B_i, where A is the assembly information baseline value and B_i is the part information baseline value. The data is sorted according to the size of P_i to generate a clear and intuitive traceability information query report, which is simultaneously presented to the barcode scanning device terminal to realize one-click retrieval of the traceability information of the assembly and each part.

[0059] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A laser coding and main two-dimensional code information traceability system for automobile headrest assembly parts, characterized in that, include: Laser marking unit, barcode scanning and acquisition unit, information aggregation and encryption unit, and data storage and traceability unit; The laser marking unit identifies the constituent parts based on the laser parameter control algorithm, dynamically adjusts the laser marking parameters to generate a marking combination set, and marks the parts to generate part QR codes. The scanning and collection unit is used to bind the part traceability information with the part QR code, identify the part QR code, generate a part traceability collection data package and a summary list of assembly part traceability, and transmit it to the information summary and encryption unit after verification. The information aggregation and encryption unit is used to generate an assembly traceability integration package, and uses a layered encryption mechanism to generate a hierarchical encrypted traceability information package; The data storage and traceability unit is used to store encrypted traceability information and generate a main QR code for the assembly. The main QR code for the assembly is printed based on the laser marking parameters. When the code is scanned, it can be decrypted to retrieve the traceability information of the assembly and parts.

2. The system according to claim 1, characterized in that, The laser marking unit includes a parameter recognition module and a marking execution module; The parameter recognition module locates the components of the car headrest, executes the recognition steps of the laser parameter control algorithm, obtains three types of parameters of the components: material, surface flatness, and reflectivity, and converts the parameter signals into digital electrical signals. The coding execution module receives the digital electrical signal, generates a coding combination set, adjusts the working state of the laser emitter, performs laser coding operation on the part according to the coding combination set, and generates a part QR code at a preset position on the part.

3. The system according to claim 2, characterized in that, The laser parameter control algorithm is executed by the parameter identification module. Based on the adaptive parameter matching logic, it obtains three key parameters: material, surface flatness, and reflectivity, and generates an original parameter dataset. The original parameter dataset is then denoised to remove invalid interference signals and extract effective parameter features to generate an effective parameter set. The system calls a dynamically updated parameter-coding parameter mapping database, stores preset coding parameters based on part material classification, and matches the laser pulse width and energy density parameters according to the parameter values ​​in the effective parameter set to generate the coding combination set.

4. The system according to claim 1, characterized in that, The scanning and data collection unit includes an information binding module, a QR code recognition module, and a list verification module; The information binding module obtains the part traceability information and performs the binding operation between the part traceability information and the part QR code; The QR code recognition module adjusts the focal length of the scanning lens to a preset matching distance and aligns it with the QR code on the part to perform the recognition operation. The list verification module receives data transmitted from the QR code recognition module and the information binding module, generates a summary list of assembly parts for traceability, and performs verification operations.

5. The system according to claim 4, characterized in that, The QR code recognition module adopts a multi-view scanning mode, controlling the scanning lenses to cyclically switch based on a preset angle gradient. Each angle is paused for a preset duration and the QR code on the part is scanned from multiple angles. Each lens synchronously acquires QR code image signals, and the QR code image signals acquired by each lens are stitched and fused together. The signal weights of each lens are set to be consistent, filtering out scanning blind spots and signal interference caused by surface materials, and generating a QR code image. The encoded information in the QR code image is decoded, the underlying encoded data of the QR code is extracted, and encoding format verification and data integrity verification are performed.

6. The system according to claim 4, characterized in that, The information binding module obtains part traceability information, which includes the full name of the manufacturer, production batch number, specific processing parameters, and piece-by-piece quality inspection records. The part traceability information is stored in a temporary data cache, encoded, and a part traceability code is generated. Based on a two-way binding mechanism, the part traceability code is bound one-to-one with the underlying QR code of the corresponding part, and a binding relationship lookup table is generated.

7. The system according to claim 4, characterized in that, The list verification module obtains the decoded data transmitted by the QR code recognition module, the binding relationship lookup table, and the part traceability information, and generates a summary list of assembly parts traceability including part QR code encoding, corresponding traceability information, part type, and binding status. The assembly parts traceability summary list is sorted by part type. A preset standard list template is retrieved, including part quantity standards, coding format standards, and information field standards. The assembly parts traceability summary list is verified by a combination of field-by-field comparison and batch verification.

8. The system according to claim 1, characterized in that, The information aggregation and encryption unit includes an information integration module and an encryption processing module; The information integration module, based on the verification and approval summary list, the binding relationship comparison table, and the part traceability information, classifies and associates all data according to part type and production sequence, and stores the QR code code, traceability information, and binding status of the same part together to generate an assembly traceability integration package. The encryption processing module obtains the assembly traceability integration package, initiates a hierarchical encryption mechanism to perform hierarchical encryption on the assembly traceability integration package, and generates a hierarchical encrypted traceability information package.

9. The system according to claim 8, characterized in that, The layered encryption mechanism filters the data in the assembly traceability integration package, selecting core traceability data, including parts quality inspection results, production batches, and binding relationship comparison tables, as well as auxiliary traceability data, including basic information of the manufacturer. These are stored in two independent data caches and encrypted. Dynamic verification codes are added to the two types of encrypted data. The verification codes are generated according to the data hash value. The core encrypted data, auxiliary encrypted data, and corresponding verification codes are packaged and integrated to generate a hierarchical encrypted traceability information package.

10. The system according to claim 1, characterized in that, The data storage traceability unit includes a data storage module, a master code generation module, and a decryption and retrieval module; The data storage module acquires the hierarchical encrypted traceability information packet, stores it in a distributed storage node, and generates a storage address lookup table. The master code generation module obtains the storage address lookup table and basic assembly information, and performs the assembly master QR code generation operation. The decryption and retrieval module is in real-time standby mode. After receiving the scanning signal, it performs decryption and retrieval of traceability information after scanning.

11. The system according to claim 10, characterized in that, The master code generation module obtains the identification number of the car headrest assembly, and the identification number is a unique combination of letters and numbers; Based on the underlying encoding information of the assembly parts' QR codes, a hash calculation is performed to generate a hash value. The identification number and the hash value are then fused and encoded to generate the assembly master QR code. A corresponding association mapping relationship is established between the assembly master QR code encoding and the QR code encoding of each part. The association mapping relationship and the assembly master QR code encoding are stored in an encrypted association database.

12. The system according to claim 10, characterized in that, When the main code generation module prints the assembly main QR code, it completes the printing operation of the assembly main QR code at the preset printing position on the car headrest based on the laser marking parameters generated by the laser marking unit. The decryption and retrieval module obtains the scanning signal of the main QR code of the assembly and extracts the main QR code encoding from the scanning data. It initiates dual security verification, first verifying the encoding format and then verifying the encoding integrity. After the verification is passed, it performs a layered decryption operation, first decrypting the auxiliary encrypted data and then decrypting the core encrypted data. It retrieves the traceability information of each part through the mapping relationship in the encrypted association database, integrates and sorts the assembly traceability information and the traceability information of each part according to the production time sequence, and generates a traceability information query report.

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