Cable quality inspection tool management interaction method, system and device and medium

Abstract

The invention provides a cable quality inspection tool management interaction method, system and device and a medium, and relates to the technical field of intelligent quality inspection. According to the method, batch number input, tool recommendation, AR guidance and traceability report generation controls are integrated through a main interface; specifically, after batch numbers are input, a cable quality inspection database is automatically associated, an optimal tool combination is dynamically recommended based on a multi-source data fusion algorithm, and precise positioning and taking are achieved through intelligent tool rack linkage. In the aspect of AR guidance, an adaptive teaching video and an operation layer are pushed in combination with a context awareness engine, and a user is guided to operate normatively in real time; and integrating full-link data to generate a traceability report of a unique associated batch, wherein the traceability report covers tool use records, parameter configuration and quality inspection conclusions. According to the invention, cable quality inspection whole-process closed-loop management is realized, the detection efficiency and precision are effectively improved, and the operation verifiability and the quality inspection traceability are ensured at the same time.

Description

Technical Field

[0001] The present application relates to the field of intelligent quality inspection technology, and in particular to a cable quality inspection tool management interaction method, system, device and medium. Background Art

[0002] As a vital carrier for power transmission and communications, the quality of cables is directly related to the safe and stable operation of power grids and communication networks. Therefore, ensuring the quality of each batch of cables is crucial. Existing cable quality inspection technology relies primarily on manual experience for tool selection and operational process execution. This approach is not only inefficient but also prone to deviations in test results due to incorrect tool selection and a lack of standardized operational procedures. Furthermore, the disconnect between quality data and production batches makes it difficult to quickly locate the root cause of quality issues. For example, it is impossible to quickly identify problems caused by insufficient cleanliness in a batch of cables. These issues collectively lead to inefficiency, high error rates, and difficulty in traceability during the cable quality inspection process. Summary of the Invention

[0003] The present application provides a cable quality inspection tool management interaction method, system, device and medium to solve one or more technical problems existing in the prior art and at least provide a beneficial option or create conditions.

[0004] In one aspect, the present application provides a cable quality inspection tool management interaction method, comprising the following steps: Displays the main interface for cable quality inspection tool management interaction; wherein the main interface includes a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control; In response to a trigger instruction on the batch number input control, a batch number input sub-interface is displayed, the batch number of the acquired cable is input, and the cable quality inspection database is associated; In response to a trigger instruction for the tool recommendation control, a tool recommendation sub-interface is displayed, and a recommended quality inspection tool combination is dynamically generated according to the batch number, based on the cable quality inspection database and a multi-source data fusion algorithm, and the quality inspection tool combination is located and retrieved through intelligent tool rack linkage; In response to a trigger instruction for the AR guidance control, an AR guidance sub-interface is displayed, and a teaching video and operation guidance layer corresponding to the quality inspection tool combination are generated through a context perception engine, and confirmation of operation steps is supported; In response to the trigger instruction of the traceability report generation control, the traceability report sub-interface is displayed, the full-link operation data is integrated to generate and display a traceable quality inspection report, and it is uniquely associated with the batch number.

[0005] Furthermore, the batch number input sub-interface includes a work order input area, a manual input control, and a database association control; On the batch number input sub-interface, input the batch number of the cable to be obtained and associate it with the cable quality inspection database, including the following steps: In the work order input area, automatically parse the batch number according to the electronic quality inspection work order; In response to a trigger instruction for the manual input control, display a batch number input window, receive the batch number input by the user, and verify its matching with the cable quality inspection database; In response to a trigger instruction for the database association control, based on the parsed or input batch number, retrieve and display the production parameters and historical quality inspection records of the cable from the cable quality inspection database.

[0006] Furthermore, the tool recommendation sub-interface includes a tool combination generation control and a tool highlighting and positioning control; In the tool recommendation sub-interface, based on the batch number, the cable quality inspection database, and a multi-source data fusion algorithm, dynamically generate a recommended quality inspection tool combination, and through the linkage of an intelligent tool rack, achieve the positioning and access of the quality inspection tool combination, including the following steps: In response to a trigger instruction for the tool combination generation control, according to the batch number, call the multi-source data fusion algorithm, based on the production parameters and historical quality inspection records of the cable in the cable quality inspection database, dynamically match and generate a tool recommendation list, and real-time read the electronic tag data of the intelligent tool rack, display the status of each tool in the quality inspection tool combination and its positioning in the intelligent tool rack; the tool recommendation list includes multiple recommended quality inspection tool combinations, and supports the user to select according to actual needs; In response to a trigger instruction for the tool highlighting and positioning control, activate the LED indicator of the intelligent tool rack to highlight and flash to locate the shelf position of the quality inspection tool combination.

[0007] Furthermore, the AR guidance sub-interface includes a teaching video start control, an AR guidance overlay control, and a step confirmation control; In the AR guidance sub-interface, through a context-aware engine, generate a teaching video and an operation guidance layer corresponding to the quality inspection tool combination, and support the confirmation of operation steps, including the following steps: In response to a trigger instruction for the teaching video start control, based on the cable quality inspection database, retrieve the batch number, production parameters, and historical quality inspection records of the cable, and through the context-aware engine, dynamically load and display a teaching video adapted to the quality inspection tool; In response to a trigger instruction for the AR guidance overlay control, display an AR guidance overlay window, and according to the teaching video, real-time display and overlay the operation guidance layer, and synchronously highlight the key operation areas; In response to a trigger instruction for the step confirmation control, record the operation steps completed by the user, the step execution timestamp, the operator information, and the quality inspection result, and store them in the cable quality inspection database.

[0008] Furthermore, the AR guidance sub-interface further includes a remote collaboration support control; In response to a trigger instruction for the remote collaboration support control, activate the AR real-time annotation layer, receive annotation information input by the remote expert, and establish a two-way voice communication link to synchronously transmit the on-site audio and the expert guidance audio.

[0009] Furthermore, the traceability report sub-interface includes a quality inspection batch acquisition area, a report viewing control, and a report export control; In the traceability report sub-interface, integrate the full-link operation data to generate and display a traceable quality inspection report, which is uniquely associated with the batch number, including the following steps: In the quality inspection batch acquisition area, obtain the batch number input by the user, retrieve the production parameters and historical quality inspection records corresponding to the batch number according to the cable quality inspection database, combine the quality inspection tool combination and its positioning in the intelligent tool rack, the operation steps, the step execution timestamp, the operator information, and the quality inspection result, generate the traceable quality inspection report, and add the barcode corresponding to the batch number to its header; In response to a trigger instruction for the report viewing control, display a report viewing window and display the traceable quality inspection report; In response to a trigger instruction for the report export control, display a report export window and support exporting the traceable quality inspection report in multiple formats.

[0010] Furthermore, the main interface further includes a tool management control; In response to a trigger instruction for the tool management control, display a tool management sub-interface; the tool management sub-interface includes a tool health dashboard, an automatic repair control, and an environment adaptation control; In the tool management sub-interface, manage the intelligent tool rack and its environment, including the following steps: In the tool health dashboard, display the monitoring data on the intelligent tool rack in real time, including the usage status of each tool and the remaining days for calibration; In response to a trigger instruction for the automatic repair control, generate a maintenance work order and synchronize it to the maintenance system, triggering the tool calibration or replacement process; In response to a trigger instruction for the environment adaptation control, monitor the environmental humidity and temperature of the intelligent tool rack; if the environmental humidity and temperature exceed the preset safety threshold, trigger an alarm.

[0011] On the other hand, the present application provides an interactive system for managing cable quality inspection tools, including a main interface module, a batch number input module, a tool recommendation module, an AR guidance module, a traceability report generation module, and a tool management module; The main interface module is used to display the main interface for cable quality inspection tool management interaction; wherein, the main interface includes a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control; The batch number input module is used to respond to the trigger instruction of the batch number input control, display the batch number input sub-interface, input the batch number of the acquired cable, and associate it with the cable quality inspection database; The tool recommendation module is configured to respond to a trigger instruction of the tool recommendation control, display a tool recommendation sub-interface, dynamically generate a recommended quality inspection tool combination based on the batch number, the cable quality inspection database and a multi-source data fusion algorithm, and locate and access the quality inspection tool combination through linkage with an intelligent tool rack; The AR guidance module is used to respond to a trigger instruction of the AR guidance control, display an AR guidance sub-interface, generate a teaching video and operation process guidance corresponding to the quality inspection tool combination through a context perception engine, and support confirmation of operation steps; The traceability report generation module is used to respond to the trigger instruction of the traceability report generation control, display the traceability report sub-interface, integrate the full-link operation data to generate and display the traceable quality inspection report, and uniquely associate it with the batch number; The tool management module is used to respond to a trigger instruction of the tool management control, display a tool management sub-interface, and manage the smart tool rack and its environment.

[0012] On the other hand, the present application provides a cable quality inspection tool management and interaction device, including an intelligent tool rack, a processor, and a memory; The intelligent tool rack is used to store cable quality inspection tools, including LED indicators, sensor groups and wireless communication modules; The LED indicator light is used to flash brightly to locate the shelf where the target quality inspection tool is located; The sensor group is used to monitor the status data of the quality inspection tools and the ambient temperature and humidity of the intelligent tool rack in real time; The wireless communication module is used to communicate with the processor; The memory is used to store a program; when the program is executed by the processor, the processor implements the aforementioned cable quality inspection tool management interaction method.

[0013] On the other hand, the present application provides a computer-readable storage medium storing a program executable by a processor, and the program executable by the processor, when executed by the processor, is used to implement the foregoing cable quality inspection tool management interaction method.

[0014] The beneficial effects of the present application are as follows: The present application provides a cable quality inspection tool management interaction method. First of all, this method provides an integrated main interface, including a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control, providing an intuitive operation platform for users. Through the batch number input control, the batch number of the cable can be quickly obtained and associated with the cable quality inspection database to ensure the accuracy and real-time nature of the data. Based on this, using the tool recommendation control, the most suitable combination of quality inspection tools is dynamically generated according to the specific situation of the cable, which not only improves the accuracy of tool selection but also simplifies the tool retrieval process through the linkage of the intelligent tool rack. In addition, the AR guidance control provides detailed teaching videos and operation guidance layers through the context awareness engine, effectively guiding users to correctly use the quality inspection tools and reducing operation errors. Finally, through the traceability report generation control, the full-link operation data is integrated to automatically generate a traceable quality inspection report uniquely associated with the batch number, effectively enhancing the quality traceability ability and making the entire quality inspection process more transparent and reliable. This method effectively improves the efficiency and accuracy of cable quality inspection while ensuring the verifiability and traceability of the detection results. The present application also provides corresponding systems, devices, and media, and the beneficial effects of the systems, devices, and media are similar to those of the method and will not be elaborated here.

[0015] Other features and advantages of the present application will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the specification, claims, and drawings. Description of the Drawings

[0016] The drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention and do not constitute a limitation to the technical solutions of the present invention.

[0017] Figure 1 is a flowchart of the cable quality inspection tool management interaction method provided by the present application; Figure 2 is a schematic diagram of the main interface of the cable quality inspection tool management interaction provided by the present application; Figure 3 is a schematic diagram of the batch number input sub-interface provided by the present application; Figure 4 is a schematic diagram of the tool recommendation sub-interface provided by the present application; Figure 5 It is a schematic diagram of the AR guidance sub-interface provided by this application; Figure 6 It is a schematic diagram of the traceability report sub-interface provided by this application; Figure 7 It is a schematic diagram of the tool management sub-interface provided by this application; Figure 8 It is a structural diagram of the cable quality inspection tool management interaction system provided by this application; Figure 9 It is a structural diagram of the cable quality inspection tool management interaction device provided by this application. Detailed implementation manners

[0018] In order to make the purpose, technical solutions and advantages of this application clearer, the following further elaborates on this application in combination with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0019] The following further describes this application in combination with the specification drawings and specific embodiments. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with each other without conflict.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0022] In the traditional cable quality inspection process, inspectors usually select appropriate inspection tools based on personal experience and intuition. Although this approach can meet the basic requirements to a certain extent, due to the lack of scientific basis, it is prone to low efficiency and errors caused by incorrect tool selection. For example, the incorrect selection of a withstand voltage tester may lead to misjudgment of insulation layer damage, thereby affecting the actual performance of the cable.

[0023] Due to the lack of a unified operation standard, different inspectors may perform inspection steps according to their own habits, which will lead to deviations in inspection results. For example, during infrared detection, if the distance between the movable seats of the main slideway is not adjusted according to the regulations, it will directly affect the detection accuracy, resulting in unnecessary repetitive work or missed inspections.

[0024] Existing quality management systems have difficulty quickly associating specific batches of products with their quality inspection data. Once a quality problem occurs, it is very difficult to quickly locate the specific production batch to determine the root cause of the failure. For example, when a batch of cables has problems due to insufficient cleanliness, enterprises often need to spend a lot of time and resources to find the root cause, seriously affecting the response speed and processing efficiency.

[0025] To address the above problems, this application provides an integrated cable quality inspection tool management interaction method, system, device, and medium. Through a main interface containing a batch number input control, tool recommendation control, AR guidance control, and traceability report generation control, this method realizes the full-process management from cable batch information input to dynamic quality inspection tool recommendation, intelligent guidance, and finally generation of traceable quality inspection reports. Specifically, based on the input cable batch number, the most suitable combination of quality inspection tools is dynamically matched using a multi-source data fusion algorithm, and precise positioning and convenient access are achieved through the linkage of an intelligent tool rack; a context-aware engine is used to provide detailed teaching videos and operation guidance layers to ensure that every operation is accurate; finally, all-link operation data is integrated to generate a traceable quality inspection report uniquely associated with a specific batch. In addition, functions such as tool health monitoring, environment adaptation, and remote collaboration are also supported, further enhancing the practicality and flexibility of the system. This series of innovations not only improves the efficiency and accuracy of the cable quality inspection process but also effectively enhances the quality traceability ability and management level.

[0026] First, the cable quality inspection tool management interaction method provided by the embodiments of this application will be elaborated in detail with reference to the accompanying drawings.

[0027] The cable quality inspection tool management interaction method proposed in the embodiments of this application can be applied to a terminal, a server, or software running on a terminal or a server. The terminal can be a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks, and big data and artificial intelligence platforms.

[0028] Refer to Figures 1 to 6 , the implementation process of the cable quality inspection tool management interaction method provided by the embodiments of this application includes but is not limited to the following steps.

[0029] Step S110, display the main interface 100 of the cable quality inspection tool management interaction.

[0030] Among them, refer to Figure 2The main interface 100 includes a batch number input control 101 , a tool recommendation control 102 , an AR guidance control 103 and a traceability report generation control 104 .

[0031] In step S110, the main interface 100, displaying the cable quality inspection tool management interface, is the first step in the entire quality inspection process. It provides users with a centralized operation platform. This interface integrates multiple key controls, including a batch number input control 101, a tool recommendation control 102, an AR guidance control 103, and a traceability report generation control 104. This design not only simplifies the user operation process but also improves work efficiency through its intuitive interface layout. Users can easily select the desired function from the main interface 100 and quickly enter the subsequent specific operation steps, ensuring smooth quality inspection work.

[0032] Step S120 , in response to a trigger instruction on the batch number input control 101 , the batch number input sub-interface 200 is displayed, the batch number of the acquired cable is input, and the cable quality inspection database is associated.

[0033] In step S120, when the user triggers the batch number input control 101, the system displays a sub-screen dedicated to entering the cable batch number. This step is crucial for linking a specific cable batch with the cable quality inspection database. By accurately entering the batch number, the system automatically retrieves all relevant production parameters and historical quality inspection records for that batch of cables, providing accurate data support for subsequent quality inspections. Furthermore, this process ensures that the quality inspection data for each batch of cables can be uniquely identified and tracked, providing a foundation for quality traceability.

[0034] Step S130, in response to the trigger instruction of the tool recommendation control 102, the tool recommendation sub-interface 300 is displayed, and the recommended quality inspection tool combination is dynamically generated according to the batch number, based on the cable quality inspection database and the multi-source data fusion algorithm, and the positioning and retrieval of the quality inspection tool combination are realized through the linkage of the intelligent tool rack.

[0035] In step S130, after the user triggers the tool recommendation control 102, the system displays a tool recommendation sub-screen 300. Based on the cable batch number and information in the cable quality inspection database, the system dynamically generates a recommended combination of quality inspection tools that best suits the task at hand, using a multi-source data fusion algorithm. This step is significant in that it selects the most appropriate quality inspection tools through scientific methods rather than manual experience. This not only improves tool selection accuracy and reduces errors caused by misselection, but also leverages intelligent tool rack linkage technology to achieve precise positioning and convenient access, significantly enhancing work efficiency and the reliability of inspection results.

[0036] Step S140: In response to a trigger instruction for the AR guidance control 103, display the AR guidance sub-interface 400. Generate a teaching video and an operation guidance layer corresponding to the quality inspection tool combination through the context awareness engine, and support the confirmation of operation steps.

[0037] In step S140, once the user triggers the AR guidance control 103, the system will display the AR guidance sub-interface 400 and use the context awareness engine to provide a detailed teaching video and an operation guidance layer for the selected quality inspection tool combination. This step aims to guide the user to correctly use the quality inspection tools in real time through augmented reality technology, highlight the key operation areas, and ensure that each step can be executed according to the standard process. In addition, the system also supports the function of confirming operation steps, helping the user check whether their operations meet the requirements, further reducing the risk of detection errors caused by improper operations, and ensuring the consistency and accuracy of the detection results.

[0038] Step S150: In response to a trigger instruction for the traceability report generation control 104, display the traceability report sub-interface 500, integrate the full-link operation data to generate and display a traceable quality inspection report, and uniquely associate it with the batch number.

[0039] In step S150, after the user triggers the traceability report generation control 104, the system will display the traceability report sub-interface 500 and integrate the full-link operation data to generate a detailed traceable quality inspection report. The report not only includes all the operation details during the quality inspection process (such as the tools used, the steps executed, and their timestamps, etc.), but also uniquely associates this information with a specific cable batch number. The significance of this step is to achieve data transparency and traceability throughout the quality inspection process, enabling any quality problem to be quickly located to a specific production batch, greatly improving the speed and efficiency of problem-solving, and at the same time providing strong quality control support for the enterprise.

[0040] In some embodiments of the present application, referring to Figure 3 , the batch number input sub-interface 200 includes a work order input area 201, a manual input control 202, and a database association control 203. In step S120, in the batch number input sub-interface 200, the implementation process of inputting and obtaining the batch number of the cable and associating it with the cable quality inspection database includes but is not limited to the following steps.

[0041] Step S210: In the work order input area 201, automatically parse the batch number according to the electronic quality inspection work order.

[0042] In step S210, when the user selects the corresponding electronic quality inspection work order in the work order input area 201, the system can automatically parse the structured data from the electronic work order and extract the corresponding cable batch number. This method not only avoids the errors that may be brought by manual input, but also improves the information entry efficiency, ensures the accuracy and consistency of the batch number, and provides a reliable data basis for the subsequent quality inspection process.

[0043] In step S220, in response to the trigger instruction for the manual input control 202, a batch number input window is displayed, the batch number input by the user is received, and its matching with the cable quality inspection database is verified.

[0044] In step S220, in the case of no electronic work order or when flexible operation is required, the user can directly input the batch number of the cable through the manual input control 202. The system will pop up a special input window to guide the user to complete the input process. Subsequently, the system will perform real-time verification on the input batch number to check whether it exists in the cable quality inspection database. This verification mechanism effectively prevents the use of invalid or incorrect batch numbers, ensures that the subsequent quality inspection operations are always carried out based on the correct cable batch, and thus guarantees the accuracy and effectiveness of the entire quality inspection process.

[0045] In step S230, in response to the trigger instruction for the database association control 203, based on the parsed or input batch number, the production parameters and historical quality inspection records of the cable are retrieved and displayed from the cable quality inspection database.

[0046] In step S230, the setting of the database association control 203 enables the system to quickly connect to the cable quality inspection database after obtaining a valid batch number, query the production parameters (such as material type, insulation layer thickness, conductor diameter, etc.) and historical quality inspection records (such as previous test results, tool usage, exception reports, etc.) related to this batch of cables, and display them in the associated data area 204. This function provides comprehensive data support for quality inspection personnel, helps them more accurately judge the current quality inspection requirements, optimize tool selection and operation processes, and at the same time provides a complete historical basis for quality traceability, improving the scientific nature and traceability of the overall quality inspection work.

[0047] In some embodiments of the present application, referring to Figure 4 , the tool recommendation sub-interface 300 includes a tool combination generation control 301 and a tool highlighting and positioning control 302. In step S130, in the tool recommendation sub-interface 300, according to the batch number, based on the cable quality inspection database and the multi-source data fusion algorithm, a recommended quality inspection tool combination is dynamically generated, and the implementation process of positioning and retrieving the quality inspection tool combination through the linkage of the intelligent tool rack includes but is not limited to the following steps.

[0048] Step S310: In response to a trigger instruction for the tool combination generation control 301, call the multi-source data fusion algorithm according to the batch number, dynamically match and generate a tool recommendation list based on the production parameters and historical quality inspection records of the cables in the cable quality inspection database, and read the electronic tag data of the intelligent tool rack in real time to display the status of each tool in the quality inspection tool combination and its location in the intelligent tool rack. Among them, the tool recommendation list includes multiple recommended quality inspection tool combinations, supporting users to select according to actual needs.

[0049] In step S310, through the cable batch number input by the user, the system automatically retrieves the production parameters related to this batch in the cable quality inspection database (such as material type, insulation layer thickness, conductor cross-sectional area, etc.) and historical quality inspection records (such as previously used tools, test results, abnormal conditions, etc.). On this basis, combined with the multi-source data fusion algorithm, the system can comprehensively analyze the physical characteristics, historical quality performance and current inspection requirements of the cables, and dynamically generate multiple suitable quality inspection tool combination suggestions. This not only improves the scientificity and accuracy of tool selection, but also effectively reduces operation errors caused by insufficient manual experience or misjudgment, ensuring the professionalism and efficiency of the quality inspection process.

[0050] In addition, this step realizes the real-time monitoring and visual management of the usage status of quality inspection tools. When the user triggers this control, the system will connect to the electronic tags (such as RFID chips or sensors) in the intelligent tool rack to obtain the current status information of each tool in the recommended tool combination, including whether it is in place, whether it is being used, the last calibration time, battery power, equipment health index, etc. Moreover, the system will clearly mark the specific location of each recommended tool in the intelligent tool rack (such as the nth layer and the nth drawer); this information is visually displayed to the user through the status window, helping them quickly judge whether the tool is available and avoiding affecting the quality inspection progress due to tool failures or shortages, thus enhancing the stability and controllability of the overall quality inspection process.

[0051] Step S320: In response to a trigger instruction for the tool high-light positioning control 302, activate the LED indicator lights of the intelligent tool rack to highlight and flash the location of the shelf where the quality inspection tool combination is located.

[0052] In step S320, through the setting of the tool high-light positioning control 302, precise positioning of the recommended tool combination is achieved. When the user clicks this control, the LED indicator lights at the corresponding shelf location are activated to flash brightly for prompt. This visual guidance method greatly improves the tool search efficiency, especially suitable for quality inspection environments with a large variety of tools and dense storage, effectively shortening the preparation time and reducing the human operation error rate, providing a strong guarantee for the smooth progress of subsequent quality inspection work.

[0053] In some embodiments of the present application, the multi-source data fusion algorithm uses a dynamic weight matching method to retrieve production parameters (such as the deviation rate of the insulation layer thickness) and historical quality inspection data based on the input cable batch number, and constructs a weighted decision matrix to dynamically generate a recommended tool combination (such as preferentially matching a withstand voltage tester in a high deviation rate scenario).

[0054] In some embodiments of the present application, referring to Figure 5 , the AR guidance sub-interface 400 includes a teaching video start control 401, an AR guidance overlay control 402, and a step confirmation control 403. In step S140, in the AR guidance sub-interface 400, through the context awareness engine, a teaching video and an operation guidance layer corresponding to the quality inspection tool combination are generated, and the implementation process of supporting the confirmation operation step includes but is not limited to the following steps.

[0055] Step S410, in response to a trigger instruction for the teaching video start control 401, based on the cable quality inspection database, retrieve the batch number, production parameters, and historical quality inspection records of the cable, and dynamically load and display a teaching video adapted to the quality inspection tool through the context awareness engine.

[0056] In step S410, after the user clicks the teaching video start control 401, the system automatically obtains the detailed production parameters (such as the insulation layer thickness, conductor material, etc.) and historical quality inspection records (such as past inspection items, abnormal conditions, etc.) of this batch from the cable quality inspection database according to the selected cable batch number in the current quality inspection task. On this basis, combined with the currently recommended quality inspection tool combination, the most suitable teaching video resource is intelligently matched through the context awareness engine. This dynamic loading mechanism ensures that the teaching content is highly relevant to the actual inspection task, improves the practicality and guidance of the teaching video, and provides precise pre-operation training support for quality inspection personnel.

[0057] Step S420, in response to a trigger instruction for the AR guidance overlay control 402, display an AR guidance overlay window, and according to the teaching video, display the overlay operation guidance layer in real time and synchronously highlight the key operation areas.

[0058] In step S420, the key operation points in the teaching video are visually superimposed on the real working scene by using augmented reality (AR) technology, further enhancing the intuitiveness and accuracy of the operation. When the user triggers the AR guidance overlay control 402, the system will render an operation guidance layer in real time in the camera view, such as marking the specific positions to be measured, the wiring points of the tester, the pressure application direction, etc., and highlighting the key operation areas through color changes or flashing effects. This immersive interactive experience not only helps quality inspection personnel better understand the operation requirements of each step, but also effectively reduces quality problems caused by incorrect operations or non-standard operations, greatly improving the detection efficiency and consistency, especially suitable for on-site applications for new employees or complex detection processes.

[0059] In step S430, in response to the trigger instruction for the step confirmation control 403, record the operation steps completed by the user, the step execution timestamp, the operator information, and the quality inspection result, and store them in the cable quality inspection database.

[0060] In step S430, the whole-process recording and closed-loop management of the quality inspection process data are realized. After the user completes a certain quality inspection operation, the operation can be confirmed by clicking the step confirmation control 403. The system will automatically record the execution details of this step, including the specific operation content, the execution time, the operator's identity information, and the corresponding quality inspection result (such as qualified / unqualified, numerical detection results, etc.), and upload and store these information in real time to the cable quality inspection database. This function not only provides complete process data support for subsequent quality traceability, but also provides important basis for the enterprise's quality management, performance appraisal, and process optimization. At the same time, through data traceability, the sense of responsibility of the operators is enhanced, and the standardization level of the overall quality inspection process is improved.

[0061] In some embodiments of the present application, referring to Figure 5 , the AR guidance sub-interface 400 further includes a remote collaboration support control 404. In response to the trigger instruction for the remote collaboration support control 404, activate the AR real-time annotation layer, receive the annotation information input by the remote expert, and establish a two-way voice communication link to synchronously transmit the operation site audio and the expert guidance audio.

[0062] By introducing the remote collaboration support control 404, efficient collaboration between on-site quality inspection operations and remote experts is achieved. When users are performing complex or first-time encountered inspection tasks, they can click on this control to initiate a remote assistance request actively. The system then activates the augmented reality (AR) real-time annotation layer, allowing remote experts to view the on-site video footage through the background interface and directly draw arrows, circle key parts, or add text explanations, etc. on the footage. These annotation information will be overlaid onto the AR display interface of on-site operators in real time, forming an intuitive operation guide. Meanwhile, the system will also automatically establish a low-latency two-way voice communication link to ensure that on-site operators can clearly hear the expert's guiding instructions, and at the same time, experts can also hear the on-site environment sounds and operation feedback. This audio-visual linked remote collaboration mechanism greatly improves the problem response efficiency and operation accuracy, especially suitable for remote areas, emergency fault handling, or high-precision inspection scenarios, not only reducing the dependence on on-site personnel experience, but also significantly enhancing the flexibility and professionalism of the entire quality inspection process.

[0063] In some embodiments of the present application, referring to Figure 6 , the traceability report sub-interface 500 includes a quality inspection batch acquisition area 501, a report viewing control 502, and a report export control 503. In step S150, in the traceability report sub-interface 500, the process of integrating the full-link operation data to generate and display a traceable quality inspection report and uniquely associating it with the batch number includes but is not limited to the following steps.

[0064] Step S510, in the quality inspection batch acquisition area 501, obtain the batch number input by the user, retrieve the production parameters and historical quality inspection records corresponding to the batch number according to the cable quality inspection database, combine the quality inspection tool set and its positioning in the intelligent tool rack, operation steps, step execution timestamps, operator information, and quality inspection results, generate a traceable quality inspection report, and add a barcode corresponding to the batch number to its header.

[0065] In step S510, in the quality inspection batch acquisition area 501, the user inputs the batch number, and the system immediately retrieves the complete production parameters (such as material type, size specifications, etc.) and historical quality inspection records (including previous inspection items, abnormal situations, etc.) of the batch of cables from the cable quality inspection database. On this basis, the system further structurally integrates the tool set used in this quality inspection process, the specific position of the tool in the intelligent tool rack, the detailed execution process of each operation step (including timestamps, operators), and the final quality inspection result, and automatically generates a complete traceable quality inspection report. At the same time, a barcode uniquely corresponding to this batch is automatically added to the report header, which not only improves the standardization degree of the report, but also provides a technical basis for subsequent data management, scanning query, and automated archiving.

[0066] Step S520: In response to a trigger instruction for the report viewing control 502, display a report viewing window and show the traceable quality inspection report.

[0067] In step S520, a convenient and intuitive quality inspection report viewing interface is provided for users. When the user clicks on the report viewing control 502, the system will pop up a dedicated report viewing window to display the content of the generated traceable quality inspection report in a clear and structured format. The report includes key information such as the basic information of the cable, the quality inspection tools used and their status, detailed operation process records, operation time and responsible person, and the final inspection conclusion. This visual presentation method enables quality inspection management personnel, technical personnel, or customers to quickly grasp the quality status of this batch of cables and the entire inspection process, enhances the transparency and credibility of the quality inspection work, and at the same time provides efficient support for internal audits, quality analysis, and problem tracing.

[0068] Step S530: In response to a trigger instruction for the report export control 503, display a report export window and support exporting the traceable quality inspection report in multiple formats.

[0069] In step S530, flexible output of the quality inspection report and multi-platform compatibility are achieved. When the user clicks on the report export control 503, the system will pop up an export window, allowing the user to select different file formats (such as PDF, Word, Excel, CSV, etc.) to export and save the current quality inspection report or send it to relevant personnel. This function meets the data exchange requirements in different usage scenarios, such as for archiving, submitting to customers or regulatory agencies, and importing into the enterprise ERP or MES system for further analysis. In addition, the barcode information is retained in the exported report, supporting barcode scanning and identification for convenient subsequent automated management and tracking. This step not only improves the portability and universality of quality inspection data but also provides strong support for the enterprise to build a digital and intelligent quality management closed-loop.

[0070] In some embodiments of the present application, referring to Figure 2 , the main interface 100 further includes a tool management control 105. In response to a trigger instruction for the tool management control 105, display a tool management sub-interface 600. Referring to Figure 7 , the tool management sub-interface 600 includes a tool health dashboard 601, an automatic repair request control 602, and an environment adaptation control 603.

[0071] In the tool management sub-interface 600, the implementation process of managing the intelligent tool rack and its environment includes but is not limited to the following steps.

[0072] Step S610: In the tool health dashboard 601, display the monitoring data on the intelligent tool rack in real-time, including the usage status of each tool and the remaining days until calibration.

[0073] In step S610, the visualization monitoring of the operation status of the quality inspection tool is realized through the tool health dashboard 601. The system can collect and display in real time the key status information of each tool on the intelligent tool rack, such as whether it is in place currently, usage frequency, last calibration time, and the remaining days until the next calibration. This dynamic monitoring mechanism helps the management personnel to timely grasp the overall health status of the tools, identify potential failure risks in advance, avoid mis-inspection problems caused by tool aging or misalignment, and thus ensure the accuracy and consistency of the quality inspection results.

[0074] In step S620, in response to the trigger instruction for the automatic repair request control 602, a maintenance work order is generated and synchronized to the maintenance system, triggering the tool calibration or replacement process.

[0075] In step S620, through the setting of the automatic repair request control 602, the automation and closed-loop management of the tool maintenance process are realized. When it is detected that a certain tool is approaching the end of the calibration cycle, in an abnormal state, or marked as a faulty device, the user can click on this control to manually initiate a repair request. The system will automatically generate a standardized maintenance work order and synchronize it to the enterprise's maintenance management system. The work order content includes key information such as tool number, location, fault description, and recommended handling methods, ensuring that the maintenance personnel can respond quickly and complete the calibration or replacement operation. This mechanism effectively improves the tool maintenance efficiency, reduces the quality inspection delay caused by tool problems, and enhances the sustainable operation ability of the system.

[0076] In step S630, in response to the trigger instruction for the environment adaptation control 603, the environmental humidity and temperature of the intelligent tool rack are monitored; if the environmental humidity and temperature exceed the preset safety threshold, an alarm is triggered.

[0077] In step S630, through the setting of the environment adaptation control 603, the intelligent perception and early warning of the storage environment of the quality inspection tools are realized. The system will monitor the changes in temperature and humidity of the space where the intelligent tool rack is located in real time and compare them with the preset safety threshold. Once it is found that the environmental parameters exceed the allowable range (for example, too high humidity may cause electronic instruments to get damp, and temperature fluctuations affect precise measurements, etc.), the system will immediately trigger an alarm prompt to notify the relevant personnel to take countermeasures such as ventilation, dehumidification, or adjusting the air conditioner. This not only helps to extend the service life of the tools but also reduces the detection errors caused by environmental factors from the source, further ensuring the stability and reliability of the quality inspection work.

[0078] In summary, the cable quality inspection tool management interaction method provided by the embodiment of the present application has the following technical effects.

[0079] This approach significantly improves the efficiency and accuracy of cable quality inspection through dynamic tool recommendations, real-time augmented reality (AR) guidance, and end-to-end quality traceability. A multi-source data fusion algorithm intelligently recommends the most appropriate combination of quality inspection tools, and AR technology provides detailed operational guidance, ensuring that each step complies with standard requirements. This reduces quality issues caused by insufficient manual experience or improper operation. Furthermore, the system integrates end-to-end operational data to generate traceable quality inspection reports, uniquely linking them to batch numbers, significantly enhancing the ability to locate and track quality issues.

[0080] This approach also optimizes tool management and maintenance processes. The intelligent tool rack's LED indicators, sensor array, and wireless communication module enable real-time monitoring of tool status and storage environment, and automatically generates maintenance work orders to promptly trigger calibration or replacement processes. Support for exporting quality inspection reports in multiple formats and remote collaboration mechanisms makes the system not only suitable for various cable quality inspection scenarios, but also seamlessly integrates with other enterprise management systems to meet the diverse needs of enterprises of all sizes, providing strong support for enterprises to achieve refined management and high-quality development.

[0081] Secondly, refer to Figure 8 An embodiment of the present application provides an interactive system for managing cable quality inspection tools, including a main interface module 710 , a batch number input module 720 , a tool recommendation module 730 , an AR guidance module 740 , a traceability report generation module 750 and a tool management module 760 .

[0082] The main interface module 710 is used to display the main interface for cable quality inspection tool management interaction, wherein the main interface includes a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control.

[0083] The batch number input module 720 is used to respond to the trigger instruction of the batch number input control, display the batch number input sub-interface, input the batch number of the acquired cable, and associate it with the cable quality inspection database.

[0084] The tool recommendation module 730 is used to respond to the trigger instruction of the tool recommendation control, display the tool recommendation sub-interface, dynamically generate the recommended quality inspection tool combination according to the batch number, based on the cable quality inspection database and multi-source data fusion algorithm, and realize the positioning and retrieval of the quality inspection tool combination through the intelligent tool rack linkage.

[0085] The AR guidance module 740 is used to respond to the trigger instruction of the AR guidance control, display the AR guidance sub-interface, generate the teaching video and operation process guidance corresponding to the quality inspection tool combination through the context perception engine, and support the confirmation of operation steps.

[0086] The traceability report generation module 750 is used to respond to a trigger instruction for the traceability report generation control, display a traceability report sub-interface, integrate the full-link operation data to generate and display a traceable quality inspection report, and uniquely associate it with the batch number.

[0087] The tool management module 760 is used to respond to a trigger instruction for the tool management control, display a tool management sub-interface, and manage the intelligent tool rack and its environment.

[0088] Furthermore, referring to Figure 9 , an embodiment of the present application provides a cable quality inspection tool management interaction device, including an intelligent tool rack 810, a processor 820, and a memory 830.

[0089] The intelligent tool rack 810 is used to store the quality inspection tools for cables, including LED indicator lights 811, a sensor group 812, and a wireless communication module 813.

[0090] The intelligent tool rack 810 is an important physical carrier of the cable quality inspection tool management interaction device of the present application. It is mainly used to store various cable quality inspection tools in an orderly manner and achieve efficient management and precise positioning of the tools through integrated intelligent components. This tool rack not only has the traditional tool storage function but also integrates environmental perception, status monitoring, and wireless communication capabilities, constructing an intelligent tool management system integrating "storage, management, and control". Through the intelligent tool rack 810, users can quickly obtain the required tools, real-time master the tool usage status, and at the same time ensure that the tools are stored in a suitable environment, thus significantly improving the efficiency and quality of quality inspection work.

[0091] The LED indicator lights 811 are used to highlight and flash to locate the shelf position of the target quality inspection tool. As a visual guidance component on the intelligent tool rack 810, the core function of the LED indicator lights 811 is to accurately locate the shelf position of the target tool by highlighting and flashing when the user needs to pick up a specific quality inspection tool. This design effectively solves the problem of "difficulty in finding tools" in traditional quality inspection work. Especially in scenarios where there are many types of tools and they are placed densely, the LED indicator lights 811 can quickly guide the operator to find the correct tool, reduce the search time, avoid the risk of mis-taking the wrong tool, and improve the overall operation convenience and accuracy.

[0092] The sensor group 812 is used to monitor the status data of the quality inspection tools and the environmental temperature and humidity of the intelligent tool rack 810 in real time. The sensor group 812 is used to monitor the environmental parameters (such as temperature and humidity) inside and around the intelligent tool rack 810 and the status data of the stored quality inspection tools (such as whether they are in place, usage frequency, last calibration time, etc.). These data provide the basic support for the intelligent judgment and early warning mechanism of the system. For example, when the environmental temperature and humidity are too high, the system can issue an alarm in time; when a tool has not been returned for a long time or is approaching the calibration cycle, a reminder can also be triggered. The existence of the sensor group 812 makes the tool management more refined and automated, helps to extend the service life of the tools and ensure the reliability of the detection results.

[0093] The wireless communication module 813 is used for communication connection with the processor 820. On the one hand, the wireless communication module 813 receives the original data (such as analog signals or low-level digital signals) collected by the sensor group 812, and after performing analog-to-digital conversion, filtering, protocol encapsulation and other processing, uploads it to the processor 820; on the other hand, it receives and parses the control instructions issued by the processor 820, and drives the LED indicator 811 to perform a high-brightness flashing operation, realizing the closed-loop control of "data acquisition - processing - upload" and "instruction reception - parsing - execution". Through this module, seamless connection between the tool rack and the entire quality inspection management system is achieved, ensuring the immediacy and stability of data transmission, supporting the realization of various intelligent functions such as remote monitoring, automatic repair, and environmental adaptation, and enhancing the overall coordination ability and response speed of the system.

[0094] The memory 830 is used to store programs. When the program is executed by the processor 820, the processor 820 realizes the aforementioned cable quality inspection tool management interaction method.

[0095] As the core control unit of this device, the processor 820 undertakes the logical operation, process control and decision-making tasks of the entire cable quality inspection tool management interaction method. It performs a series of complex operations including tool recommendation, AR guidance, report generation, tool health monitoring, etc. according to the user's operation instructions, batch number information, historical records in the database and real-time feedback data from the intelligent tool rack. The processor 820 drives each component to work in coordination by calling the preset program modules in the memory, ensuring that the entire quality inspection process is efficient, accurate and traceable, and is the key center for realizing the intelligent operation of the system.

[0096] The memory 830 is used to store all the program codes, configuration parameters, database structures, user operation records and other key information required for running the cable quality inspection tool management interaction method. When the program is loaded and executed by the processor 820, the memory 830 provides the necessary operating environment and data support to ensure the stable operation of each function of the system. In addition, the memory 830 is also used to store the full-process quality inspection data of each batch of cables in the long term, including the tool combination used, operation steps, timestamps, operator information, quality inspection results, etc., providing a complete historical basis for subsequent quality traceability, data analysis and system optimization, and is the core support module for realizing the digitization and auditability of the whole quality inspection process.

[0097] In addition, an embodiment of the present application provides a computer-readable storage medium, in which there is a program executable by a processor, and the program executable by the processor is used to implement the aforementioned cable quality inspection tool management interaction method when executed by the processor.

[0098] Similarly, the content in the above method embodiments is applicable to the system embodiments, device embodiments and medium embodiments. The functions specifically implemented by the system embodiments, device embodiments and medium embodiments are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0099] In some alternative embodiments, the functions / operations mentioned in the block diagram may not occur in the order mentioned in the operation schematic diagram. For example, depending on the functions / operations involved, two consecutive blocks shown may actually be executed substantially simultaneously or the blocks can sometimes be executed in the reverse order. In addition, the embodiments presented and described in the flowcharts of the present application are provided by way of example for the purpose of providing a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated, in which the order of various operations is changed and the sub-operations described as part of a larger operation are executed independently.

[0100] In addition, although the present application has been described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features may be integrated in a single physical device and / or software module, or one or more functions and / or features may be implemented in separate physical devices or software modules. It should also be understood that a detailed discussion of the actual implementation of each module is not necessary for understanding the present application. Rather, considering the attributes, functions, and internal relationships of the various functional modules in the devices disclosed herein, the actual implementation of the modules will be understood within the ordinary skills of an engineer. Thus, those skilled in the art can implement the present application as set forth in the claims using ordinary techniques. It should also be understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the appended claims and their equivalents.

[0101] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several programs for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0102] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable programs for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by a program execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can retrieve and execute programs from a program execution system, apparatus, or device), or in conjunction with these program execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with a program execution system, apparatus, or device.

[0103] More specific examples (a non-exhaustive list) of computer-readable media include the following: electrical connections (electronic devices) having one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which a program can be printed, for example, the program can be obtained electronically by optically scanning the paper or other media, followed by editing, interpretation, or, when necessary, processing in a suitable manner, and then stored in a computer memory.

[0104] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well-known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0105] In the above description of this specification, the description with reference to terms such as "one embodiment / implementation", "another embodiment / implementation", or "certain embodiments / implementations", etc., means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in the embodiments or examples of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0106] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

[0107] The above has specifically described the preferred embodiments of the present invention, but the present invention is not limited to the embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of the present invention, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present invention.

Claims

1. A method for managing and interacting with cable quality inspection tools, characterized in that, The steps include: Displays the main interface for cable quality inspection tool management interaction; wherein the main interface includes a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control; In response to a trigger instruction on the batch number input control, a batch number input sub-interface is displayed, the batch number of the acquired cable is input, and the cable quality inspection database is associated; In response to a trigger instruction for the tool recommendation control, a tool recommendation sub-interface is displayed, and a recommended quality inspection tool combination is dynamically generated according to the batch number, based on the cable quality inspection database and a multi-source data fusion algorithm, and the quality inspection tool combination is located and retrieved through intelligent tool rack linkage; In response to a trigger instruction for the AR guidance control, an AR guidance sub-interface is displayed, and a teaching video and operation guidance layer corresponding to the quality inspection tool combination are generated through a context perception engine, and confirmation of operation steps is supported; In response to the trigger instruction of the traceability report generation control, the traceability report sub-interface is displayed, the full-link operation data is integrated to generate and display a traceable quality inspection report, and it is uniquely associated with the batch number.

2. The cable quality inspection tool management interaction method according to claim 1, wherein, The batch number input sub-interface includes a work order input area, a manual input control, and a database association control; In the batch number input sub-interface, enter the batch number of the acquired cable and associate it with the cable quality inspection database, including the following steps: In the work order input area, the batch number is automatically parsed based on the electronic quality inspection work order; In response to a trigger instruction of the manual input control, a batch number input window is displayed, the batch number input by the user is received, and the batch number is verified to match the batch number with the cable quality inspection database; In response to a trigger instruction for the database-associated control, based on the parsed or input batch number, the production parameters and historical quality inspection records of the cable are retrieved and displayed from the cable quality inspection database.

3. The cable quality inspection tool management interaction method according to claim 1, wherein The tool recommendation sub-interface includes a tool combination generation control and a tool highlight positioning control; In the tool recommendation sub-interface, a recommended quality inspection tool combination is dynamically generated according to the batch number, based on the cable quality inspection database and the multi-source data fusion algorithm, and the positioning and access of the quality inspection tool combination are realized through the linkage of the intelligent tool rack, including the following steps: In response to a trigger instruction for generating a control for the tool combination, the multi-source data fusion algorithm is called according to the batch number, and a tool recommendation list is generated by dynamic matching based on the production parameters and historical quality inspection records of the cable in the cable quality inspection database. The electronic tag data of the smart tool rack is read in real time to display the status of each tool in the quality inspection tool combination and its location in the smart tool rack. The tool recommendation list includes multiple recommended quality inspection tool combinations, allowing users to select according to actual needs. In response to the trigger instruction of the tool highlight positioning control, the LED indicator light of the smart tool rack is activated, and the LED indicator light is highlighted and flashed to locate the shelf position of the quality inspection tool combination.

4. The cable quality inspection tool management interaction method according to claim 1, wherein The AR guidance sub-interface includes a teaching video start control, an AR guidance overlay control, and a step confirmation control; In the AR guidance sub-interface, through the context awareness engine, generate the teaching video and operation guidance layer corresponding to the quality inspection tool combination, and support the confirmation of operation steps, including the following steps: In response to the trigger instruction for the teaching video start control, based on the cable quality inspection database, retrieve the batch number, production parameters, and historical quality inspection records of the cable, and dynamically load and display the teaching video adapted to the quality inspection tool through the context awareness engine; In response to the trigger instruction for the AR guidance overlay control, display the AR guidance overlay window, and according to the teaching video, display the operation guidance layer in real time and highlight the key operation areas synchronously; In response to the trigger instruction for the step confirmation control, record the operation steps completed by the user, the step execution timestamp, the operator information, and the quality inspection result, and store them in the cable quality inspection database.

5. The cable quality inspection tool management interaction method according to claim 4, wherein The AR guidance sub-interface also includes a remote collaboration support control; In response to the trigger instruction for the remote collaboration support control, activate the AR real-time annotation layer, receive the annotation information input by the remote expert, and establish a two-way voice communication link to synchronously transmit the on-site operation audio and the expert guidance audio.

6. The cable quality inspection tool management interaction method according to claim 1, wherein The traceability report sub-interface includes a quality inspection batch acquisition area, a report viewing control, and a report export control; In the traceability report sub-interface, integrate the full-link operation data to generate and display a traceable quality inspection report, which is uniquely associated with the batch number, including the following steps: In the quality inspection batch acquisition area, obtain the batch number input by the user, retrieve the production parameters and historical quality inspection records corresponding to the batch number according to the cable quality inspection database, combine the quality inspection tool combination and its location in the intelligent tool rack, the operation steps, the step execution timestamp, the operator information, and the quality inspection result, generate the traceable quality inspection report, and add the barcode corresponding to the batch number to its header; In response to the trigger instruction for the report viewing control, display the report viewing window and display the traceable quality inspection report; In response to the trigger instruction for the report export control, display the report export window and support the export of the traceable quality inspection report in multiple formats.

7. The cable quality inspection tool management interaction method according to claim 1, characterized in that The main interface also includes a tool management control; In response to the trigger instruction for the tool management control, display the tool management sub-interface; the tool management sub-interface includes a tool health dashboard, an automatic repair control, and an environment adaptation control; In the tool management sub-interface, manage the intelligent tool rack and its environment, including the following steps: In the tool health dashboard, display the monitoring data on the intelligent tool rack in real time, including the usage status of each tool and the remaining days for calibration; In response to the trigger instruction for the automatic repair control, generate a maintenance work order and synchronize it to the maintenance system, triggering the tool calibration or replacement process; In response to the trigger instruction for the environment adaptation control, monitor the environmental humidity and temperature of the intelligent tool rack; if the environmental humidity and temperature exceed the preset safety threshold, trigger an alarm.

8. A cable quality inspection tool management interaction system, characterized in that It includes a main interface module, a batch number input module, a tool recommendation module, an AR guidance module, a traceability report generation module, and a tool management module; The main interface module is used to display the main interface for cable quality inspection tool management interaction; among them, the main interface includes a batch number input control, a tool recommendation control, an AR guidance control, and a traceability report generation control; The batch number input module is used to respond to a trigger instruction for the batch number input control, display a batch number input sub-interface, input and obtain the batch number of the cable, and associate with the cable quality inspection database; The tool recommendation module is used to respond to a trigger instruction for the tool recommendation control, display a tool recommendation sub-interface, based on the batch number, and based on the cable quality inspection database and a multi-source data fusion algorithm, dynamically generate a recommended combination of quality inspection tools, and realize the positioning and access of the quality inspection tool combination through the linkage of the intelligent tool rack; The AR guidance module is used to respond to a trigger instruction for the AR guidance control, display an AR guidance sub-interface, generate a teaching video and operation process guidance corresponding to the quality inspection tool combination through a context awareness engine, and support the confirmation of operation steps; The traceability report generation module is used to respond to a trigger instruction for the traceability report generation control, display a traceability report sub-interface, integrate the full-link operation data to generate and display a traceable quality inspection report, and uniquely associate it with the batch number; The tool management module is used to respond to a trigger instruction for the tool management control, display a tool management sub-interface, and manage the intelligent tool rack and its environment; 9. A cable quality inspection tool management interaction device, characterized in that, It includes an intelligent tool rack, a processor, and a memory; The intelligent tool rack is used to store cable quality inspection tools, including LED indicator lights, a sensor group, and a wireless communication module; The LED indicator lights are used to highlight and flash to locate the shelf position of the target quality inspection tool; The sensor group is used to monitor the status data of the quality inspection tools and the environmental temperature and humidity of the intelligent tool rack in real time; The wireless communication module is used to communicate and connect with the processor; The memory is used to store a program; when the program is executed by the processor, the processor realizes the cable quality inspection tool management interaction method as described in any one of claims 1 to 7; 10. A computer-readable storage medium storing a program executable by a processor, characterized in that, The program executable by the processor is used to realize the cable quality inspection tool management interaction method as described in any one of claims 1 to 7 when executed by the processor.

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