Intelligent equipment information detection and label generation system and method

Abstract

The invention discloses an intelligent equipment information detection and label generation system and method, the system comprises a network server, a label machine, a computer host and detection software, the detection software is installed in the computer host, the network server is in communication connection with the computer host, the computer host is in communication connection with detected equipment, and the detected equipment is in communication connection with the label machine. The labeling machine is in communication connection with the computer host; the detection software is used for acquiring a unique identification code of an integrated circuit chip of detected equipment, and generating a label pattern after comparison and verification of the network server, and the labeling machine is used for printing the label pattern; the full-process automation of equipment information detection, label generation and printing can be realized, the technical problems of high label pasting error rate, low production efficiency, serious resource waste and lack of an automatic checking and tracing mechanism in a traditional manual labeling mode are effectively solved, accurate matching of labels and equipment is guaranteed, and the labor intensity of workers is reduced. The large-scale production requirement is met, and meanwhile, the production cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of electronic equipment manufacturing and testing technology, specifically to a smart device information detection and label generation system and method. Background Technology

[0002] In the electronics manufacturing industry, especially in the production process of computer peripherals such as mice, keyboards, docking stations, and external hard drives, the affixing of product information labels is a crucial step. These labels typically contain key information such as the Integrated Circuit Card Identification Code (ICCID), Serial Number (SN), and International Mobile Subscriber Identity (IMSI), serving not only as the core basis for product identification but also as an important support for product quality traceability, after-sales service, and anti-counterfeiting verification.

[0003] Currently, the industry commonly uses a pre-fabricated labeling method: manufacturers pre-print information labels corresponding to the product model based on the product design. After the product is assembled, production personnel manually identify the product model and match the corresponding pre-fabricated label for affixing. However, this traditional method has several insurmountable drawbacks. First, the models of computer peripherals are increasingly diverse, and different models use different integrated circuit chips, resulting in different identification codes and other information. The variety of pre-fabricated labels makes it easy for production personnel to confuse models during high-intensity assembly line work, leading to incorrect label affixing. This not only affects the normal sales and use of the product but also increases rework costs and the risk of after-sales disputes. Second, the manual label matching process is inefficient, requiring production personnel to check the product model and label information one by one, which cannot keep pace with modern large-scale production and hinders the improvement of overall production efficiency. Furthermore, once the pre-fabricated labels are printed, their information cannot be modified. If the chip model changes or the information is incorrect during product production, all printed labels will be invalidated, resulting in resource waste and increased production costs.

[0004] Furthermore, existing technologies lack automated verification mechanisms for equipment and label information. Manual labeling makes it difficult to quickly detect errors, often revealing problems only during factory testing or user use. This leads to extremely high rectification costs and damage to the company's brand image. Simultaneously, traditional methods cannot achieve real-time updates and traceability of label information. When product quality issues arise, it's difficult to quickly locate key data such as production batch and chip model using label information, hindering quality control and problem investigation. Therefore, there is an urgent need for a technological solution that enables automated detection of equipment information, accurate matching and rapid generation of label information to address the problems of low efficiency, high error rates, and resource waste inherent in existing technologies. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent device information detection and label generation system and method, which aims to improve the problems of high error rate, low production efficiency, serious resource waste and lack of automated verification and traceability mechanism in the traditional pre-made label pasting mode.

[0006] This invention is implemented as follows: According to a first aspect of the present invention, the present invention provides an intelligent device information detection and label generation system, including a network server, a label generator, a computer host, and detection software. The detection software is installed in the computer host. The network server is communicatively connected to the computer host. The computer host is communicatively connected to the device being detected. The label generator is communicatively connected to the computer host. The detection software is used to obtain the unique identification code of the integrated circuit chip of the device being detected, and generates a label pattern after comparison and verification by the network server. The label generator is used to print the label pattern.

[0007] Furthermore, the detection software supports running on Windows or Apple systems, and the device being detected supports running Android or Apple software.

[0008] Furthermore, the computer host is connected to the device under test via wired or wireless means. The wired connection between the computer host and the device under test uses a data cable as the connection medium, while the wireless connection is achieved through the built-in Bluetooth module or 2.4G module of the computer host.

[0009] Furthermore, the network server includes: The verification module is used to receive the unique identification code of the integrated circuit chip uploaded by the detection software and compare it with the standard information database in real time. The database module is used to store integrated circuit chip identification codes and corresponding tag information templates; The communication module is used to perform encrypted data interaction with the computer host and to send out tags to generate relevant data after the comparison and verification are successful.

[0010] Furthermore, the network server is also configured with: The log recording module is used to record the unique identification code of the integrated circuit chip, the verification time, the verification result and the equipment model information corresponding to each verification request, forming production traceability data; The remote update module allows administrators to remotely add, delete, modify, and query integrated circuit chip identification codes and tag information templates in the standard information database via the network, thereby enabling dynamic product configuration management.

[0011] Furthermore, the detection software is configured with a multi-mode hierarchical alarm mechanism. The alarm prompting methods include: displaying a pop-up prompt with configurable color on the computer host screen, a full-screen lock warning interface, and flashing taskbar icons; outputting prompts with different frequencies and durations through the computer host's built-in or external speakers, or calling pre-recorded voice to broadcast error types; driving external sound and light alarm devices via USB or GPIO interfaces, and sending stop control commands to the production line control system; and synchronously generating error logs with timestamps for all alarm events and automatically uploading them to the network server to support quality traceability analysis.

[0012] According to a second aspect of the present invention, the present invention provides a method for detecting and generating smart device information, using the above-mentioned smart device information detection and tag generation system, comprising the following steps: S1: Establish a communication connection between the computer host and the device under test, and start the detection software installed on the computer host; S2: The detection software sends an information reading command to the device under test through the computer host to obtain the unique identification code of the integrated circuit chip of the device under test; S3: The detection software sends the unique identification code of the integrated circuit chip obtained to the network server for comparison and verification via the computer host; S4: If the comparison and verification pass, the detection software receives the tag generation-related data sent by the network server and generates a matching tag pattern based on the tag information template; S5: The detection software sends the generated label pattern data to the label printer that is connected to the computer host. The label printer receives the data and then completes the label printing.

[0013] Furthermore, in step S2, if the detection software fails to obtain the unique identification code, it will automatically retry the reading operation. The number of retries can be preset by the detection software, and an alarm will be issued after the retries fail.

[0014] Furthermore, in step S3, the network server uses an asymmetric encryption algorithm to verify the legitimacy of the request sent by the detection software. The comparison process includes two stages: fuzzy matching and precise verification. First, fuzzy matching is performed using the device type identifier to filter out candidate data. Then, precise verification is performed on the unique identification code of the integrated circuit chip to ensure the accuracy of the comparison results. Furthermore, in step S4, the preset format of the label pattern includes one or more combinations of text information, QR code, and barcode. The text information includes at least two of the following: device model, SN code, ICCID code, and production batch. The network server has a log recording module. If printing is successful in step S5, the detection software automatically uploads the verification log of this detection to the network server, and the log recording module of the network server updates the production traceability database.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention can automate the entire process of equipment information detection, label generation and printing, effectively solving the technical problems of high labeling error rate, low production efficiency, serious resource waste and lack of automated verification and traceability mechanism in the traditional manual labeling method. It not only ensures the accurate matching of labels and equipment, but also adapts to the needs of large-scale production, while reducing production costs, and provides strong support for product quality control and after-sales traceability.

[0016] 2. This invention significantly improves the system's compatibility with different operating systems and different types of tested devices through cross-platform adaptation of the testing software and a wired and wireless dual-connection mode design, thus adapting to diverse production scenario requirements. Attached Figure Description

[0017] Figure 1 This is a block diagram of the electrical control structure of the intelligent device information detection and tag generation system provided by the present invention; Figure 2 This is a block diagram of the network server of the present invention; Figure 3 This is a flowchart of the intelligent device information detection and tag generation method provided by the present invention. Detailed Implementation

[0018] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0019] The following description, in conjunction with the accompanying drawings and specific embodiments, provides further details: Example 1 like Figure 1As shown, this embodiment provides an intelligent device information detection and label generation system, including a network server, a label printer, a computer host, and detection software. The detection software, as the core functional carrier, is installed on the local storage medium of the computer host to ensure operational stability and response speed. A stable communication connection is established between the network server and the computer host via an internal enterprise LAN or the Internet to ensure real-time and secure data transmission. The computer host acts as an intermediate node for data processing and instruction distribution, establishing bidirectional communication with the detected device and the label printer to realize functions such as device information collection and label data distribution. The detected devices are mainly computer peripherals such as mice, docking stations, and external hard drives. Their built-in integrated circuit chips store a unique identification code, which is the core basis for device identification and information matching. The core function of the detection software is to obtain the unique identification code of the integrated circuit chip from the detected device and transmit it to the network server for comparison and verification. After successful verification, the corresponding label pattern is generated according to preset rules, and finally, the label printer completes the physical printing of the label. The entire process requires no manual intervention in the information matching stage, achieving fully automated workflow.

[0020] To adapt to the production environments and equipment configurations of different manufacturers, the testing software adopts cross-platform development technology, which can run stably on mainstream Windows or Apple systems without the need for secondary development for different operating systems. At the same time, the tested devices are compatible with the operating environments of Android or Apple software. Whether it is a smart extension device based on the Android system or a peripheral accessory based on the Apple system, it can be seamlessly connected with this system, which greatly improves the system's versatility and applicability.

[0021] In terms of connectivity, the computer host and the device under test support both wired and wireless connection modes to meet the needs of different production scenarios. The wired connection uses a common data cable as the connection medium, including common interface types such as USB-A, USB-C, and Type-C. Data is transmitted directly through the physical interface, offering advantages such as stable transmission and strong anti-interference capabilities, making it suitable for production lines with high requirements for data transmission reliability. The wireless connection utilizes the computer host's built-in Bluetooth module or 2.4G wireless communication module, establishing communication without physical wiring. This facilitates rapid device changeover and relocation, making it particularly suitable for batch testing scenarios in automated production lines, effectively improving the flexibility of production operations.

[0022] As can be seen from the above, the present invention significantly improves the system's compatibility with different operating systems and different types of tested devices through cross-platform adaptation of testing software and wired and wireless dual connection modes, thus adapting to diverse production scenario requirements.

[0023] like Figure 2As shown, the network server is the core of the system's data storage and verification, comprising a communication module, a verification module, a database module, a log recording module, and a remote update module. The communication module is used for encrypted data interaction with the computer host. All transmitted data is encrypted to prevent information leakage or tampering. Tag generation data is only sent to the computer host after successful verification. The database module stores the integrated circuit chip identification code and its corresponding tag information template. The tag information template is pre-set with text layout, pattern style, and information coverage based on different product models, supporting rapid generation of subsequent tag patterns. The verification module receives the unique identification code of the integrated circuit chip uploaded by the testing software and performs real-time comparison with the standard information database. The log recording module records the unique identification code of the integrated circuit chip corresponding to each verification request, the verification time, the verification result, and the equipment model information, forming production traceability data to facilitate subsequent quality problem investigation and production process optimization. The remote update module allows administrators to add, delete, modify, and query integrated circuit chip identification codes and label information templates in the standard information database remotely via the network. When a company adds a new product model, changes chip configuration, or adjusts label style, the system data can be dynamically updated without operating the network server on-site, which greatly reduces system maintenance costs and enables dynamic product configuration management.

[0024] Furthermore, the detection software is equipped with a multi-mode hierarchical alarm mechanism to promptly report various anomalies occurring during the detection process, ensuring that production personnel can respond and handle problems quickly. Alarm notification methods include: displaying configurable color pop-up notifications on the computer host screen, a full-screen lock warning interface, and flashing taskbar icons. It also outputs frequency and duration-differentiated alert sounds through the computer host's built-in or external speakers, or plays pre-recorded voice prompts to announce error types. External audible and visual alarm devices can be driven via USB or GPIO interfaces, and shutdown control commands can be sent to the production line control system. All alarm events synchronously generate timestamped error logs, which record detailed information such as the time of occurrence, type of anomaly, and involved equipment information, and are automatically uploaded to a network server for storage, providing complete data support for subsequent quality traceability analysis and system fault diagnosis.

[0025] Example 2 This embodiment provides a method for detecting and generating smart device information and tags, using the smart device information detection and tag generation system provided in Embodiment 1, including the following steps: S1: Establish a communication connection between the computer host and the device under test, and start the testing software installed on the computer host. Production personnel, based on the actual conditions of the production site, choose either a wired or wireless method to establish a physical or wireless connection between the device under test and the computer host. After the software starts, it will automatically complete initialization operations, including establishing a connection with the network server and checking the label printer's working status. After initialization is complete, the system enters standby mode, waiting to receive testing commands.

[0026] S2: The testing software sends an information reading command to the device under test via the computer host to obtain the unique identification code of the integrated circuit chip of the device under test. If the testing software fails to obtain the unique identification code due to loose device connection, chip communication failure, or other reasons, the system will automatically trigger a retry reading operation. The number of retries can be preset by production managers through the testing software settings interface, usually set to 3-5 times. If the software still fails to obtain the unique identification code after multiple retries, a multi-mode hierarchical alarm mechanism will be activated to remind production personnel to check the device connection or troubleshoot the device fault.

[0027] S3: The detection software sends the unique identification code of the integrated circuit chip obtained through the computer host to the network server for comparison and verification. The network server uses an asymmetric encryption algorithm to verify the legitimacy of the request sent by the detection software. The comparison process includes two stages: fuzzy matching and precise verification. First, fuzzy matching is performed based on the device type identifier to quickly filter out the candidate data set corresponding to the device type from the standard information database, narrowing the comparison range and improving comparison efficiency. Then, in the candidate data set, the unique identification code of the integrated circuit chip is precisely verified bit by bit to ensure that the identification code is completely consistent with the data in the standard information database, avoiding misjudgments caused by partial field matching. This two-level comparison mechanism balances comparison speed and accuracy, ensuring that every verification result is reliable and error-free.

[0028] S4: If the verification passes, the detection software receives the label generation data from the network server and generates a matching label pattern based on the label information template. The preset format of the label pattern includes one or more combinations of text information, QR code, and barcode. The text information includes at least two of the following: device model, SN code, ICCID code, and production batch. If the verification fails, the network server returns a verification failure feedback message to the detection software. The detection software immediately triggers a multi-mode hierarchical alarm mechanism and terminates the subsequent label generation and printing process to prevent the generation of erroneous labels.

[0029] S5: The testing software sends the generated label pattern data to the label printer, which is connected to the computer host. The label printer receives the data and completes the label printing. After successful label printing, the label printer sends a confirmation signal to the testing software. Upon receiving this signal, the testing software automatically uploads the complete verification log of this test to the network server. The log includes information such as the unique identification code of the integrated circuit chip, verification time, verification result, label generation parameters, and printing status. After receiving the log, the network server's log recording module stores it in the production traceability database and updates the production status information of the corresponding product, completing the entire testing and label generation process.

[0030] In summary, this invention can automate the entire process of equipment information detection, label generation and printing, effectively solving the technical problems of high labeling error rate, low production efficiency, serious resource waste and lack of automated verification and traceability mechanism in traditional manual labeling methods. It not only ensures accurate matching between labels and equipment, but also adapts to the needs of large-scale production, while reducing production costs, and provides strong support for product quality control and after-sales traceability.

[0031] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. 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 smart device information detection and tag generation system, characterized in that, The system includes a network server, a label printer, a computer host, and testing software. The testing software is installed in the computer host. The network server is communicatively connected to the computer host. The computer host is communicatively connected to the device being tested. The label printer is communicatively connected to the computer host. The testing software is used to obtain the unique identification code of the integrated circuit chip of the device being tested, and after comparison and verification by the network server, it generates a label pattern. The label printer is used to print the label pattern.

2. The intelligent device information detection and tag generation system according to claim 1, characterized in that, The detection software supports running on Windows or Apple systems, and the device being tested supports running Android or Apple software.

3. The intelligent device information detection and tag generation system according to claim 1, characterized in that, The computer host is connected to the device under test via wired or wireless means. The wired connection between the computer host and the device under test uses a data cable as the connection medium, while the wireless connection is achieved through the built-in Bluetooth module or 2.4G module of the computer host.

4. The intelligent device information detection and tag generation system according to claim 1, characterized in that, The network server includes: The verification module is used to receive the unique identification code of the integrated circuit chip uploaded by the detection software and compare it with the standard information database in real time. The database module is used to store integrated circuit chip identification codes and corresponding tag information templates; The communication module is used to perform encrypted data interaction with the computer host and to send out tags to generate relevant data after the comparison and verification are successful.

5. The intelligent device information detection and tag generation system according to claim 4, characterized in that, The network server is also configured with: The log recording module is used to record the unique identification code of the integrated circuit chip, the verification time, the verification result and the equipment model information corresponding to each verification request, forming production traceability data; The remote update module allows administrators to remotely add, delete, modify, and query integrated circuit chip identification codes and tag information templates in the standard information database via the network, thereby enabling dynamic product configuration management.

6. The intelligent device information detection and tag generation system according to claim 1, characterized in that, The detection software is equipped with a multi-mode hierarchical alarm mechanism. The alarm prompting methods include: displaying a pop-up prompt with configurable color on the computer host screen, a full-screen lock warning interface, and flashing taskbar icons; outputting prompts with different frequencies and durations through the computer host's built-in or external speakers, or calling pre-recorded voice to broadcast error types; driving external sound and light alarm devices via USB or GPIO interfaces, and sending stop control commands to the production line control system; and synchronously generating error logs with timestamps for all alarm events and automatically uploading them to the network server to support quality traceability analysis.

7. A method for detecting and generating labels for intelligent devices, using the intelligent device information detection and label generation system according to any one of claims 1-6, characterized in that, Includes the following steps: S1: Establish a communication connection between the computer host and the device under test, and start the detection software installed on the computer host; S2: The detection software sends an information reading command to the device under test through the computer host to obtain the unique identification code of the integrated circuit chip of the device under test; S3: The detection software sends the unique identification code of the integrated circuit chip obtained to the network server for comparison and verification via the computer host; S4: If the comparison and verification pass, the detection software receives the tag generation-related data sent by the network server and generates a matching tag pattern based on the tag information template; S5: The detection software sends the generated label pattern data to the label printer that is connected to the computer host. The label printer receives the data and then completes the label printing.

8. The method for intelligent device information detection and tag generation according to claim 7, characterized in that, In step S2, if the detection software fails to obtain the unique identification code, it will automatically retry the reading operation. The number of retries can be preset by the detection software. An alarm will be issued after the retry fails.

9. The method for intelligent device information detection and tag generation according to claim 7, characterized in that, In step S3, the network server uses an asymmetric encryption algorithm to verify the legitimacy of the request sent by the detection software. The comparison process includes two stages: fuzzy matching and precise verification. First, fuzzy matching is performed using the device type identifier to filter out candidate data. Then, precise verification is performed on the unique identification code of the integrated circuit chip to ensure the accuracy of the comparison results.

10. The method for intelligent device information detection and tag generation according to claim 7, characterized in that, In step S4, the preset format of the label pattern includes one or more combinations of text information, QR code, and barcode. The text information includes at least two of the following: device model, SN code, ICCID code, and production batch. The network server has a log recording module. If printing is successful in step S5, the detection software automatically uploads the verification log of this detection to the network server, and the log recording module of the network server updates the production traceability database.

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