A test information management system and method based on intelligent data management
Through modular architecture and intelligent data management, the problems of data silos, low equipment utilization and delayed anomaly response in the test information management system have been solved. It has achieved full-process data automation and efficient test management, improved data visualization and decision support capabilities, and supported rapid accountability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN DUANYI TECH CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-31
AI Technical Summary
Existing experimental information management systems suffer from poor data interoperability, low automation, insufficient storage security, weak data visualization capabilities, and a lack of a full-process traceability mechanism, resulting in poor data flow, low processing efficiency, weak storage security, insufficient decision support, and difficulty in defining responsibilities.
It adopts a modular architecture design and intelligent data management, including modules for experimental product management, information management, resource management, task management, record management, monitoring management, data visualization, and system management, to achieve full-process digital management, support multi-dimensional data processing and anomaly detection, and has dynamic device association and real-time video monitoring integration to generate multi-dimensional analysis reports.
It enables automated data flow throughout the entire process, improves equipment utilization and overall throughput, shortens the testing cycle, ensures the integrity and consistency of the data chain, enhances data visualization and decision support capabilities, and supports rapid accountability.
Smart Images

Figure CN122492006A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of experimental data processing and information management technology, specifically relating to an experimental information management system and method based on intelligent data management. Background Technology
[0002] With the deepening of digital transformation, Test Information Management Systems (TIMS) are playing an increasingly crucial role in product quality control, R&D verification, and compliance auditing. This system aims to manage personnel, equipment, environment, samples, and result data throughout the entire lifecycle of the testing process.
[0003] However, existing test information management systems still face many technical bottlenecks and challenges in practical applications, mainly in the following aspects: 1) Heterogeneous systems and poor data interoperability: Currently, many enterprises or research institutions have multiple business systems (such as LIMS, ERP, MES, etc.) developed at different times and by different vendors. Due to the lack of unified data interface standards and incompatible protocols between these systems, experimental data is often locked away. Cross-departmental or cross-system data access requires cumbersome manual export and import, and even secondary data entry, which seriously hinders data flow and overall collaborative efficiency.
[0004] 2) Low level of automation, limiting processing efficiency and accuracy: In traditional experimental management processes, a large amount of data still relies on manual paper records or manual computer entry. This operating mode is not only time-consuming and labor-intensive, increasing labor costs, but also highly susceptible to transcription errors or omissions due to human negligence. At the same time, due to the lack of a built-in intelligent verification and real-time calculation engine, the system struggles to clean, statistically analyze, and issue anomaly warnings for massive amounts of experimental data in a timely manner, leading to delayed decision-making.
[0005] 3) Insufficient data storage security and reliability: Existing systems mostly use local servers or a single centralized database storage solution. This storage method has weak disaster recovery capabilities in the face of physical hardware damage, natural disasters, or ransomware attacks, and there is a risk of data loss or corruption. In addition, static storage is unable to cope with the increasing access pressure of unstructured data (such as high-definition test videos and log files), and data security and long-term preservation face severe challenges.
[0006] 4) Weak Data Visualization and Decision Support Capabilities: Most traditional systems have outdated front-end interfaces that only provide simple list query functions. They lack the ability to drill down into multidimensional data and perform linked analysis, and generally lack advanced visualization components such as dynamic charts, heatmaps, or dashboards. This makes it difficult for managers to intuitively understand experimental trends and identify potential quality risks, thereby weakening the data's support for scientific decision-making.
[0007] 5) Lack of a full-process traceability mechanism: When product quality disputes or safety incidents occur during investigations, it is often necessary to trace back the testing environment and operational details. However, in existing technologies, test data and video monitoring streams are usually separate, lacking technical means to time-stamp and bind test parameters and operational video footage. Once a problem occurs, it is impossible to quickly retrieve the corresponding audio and video evidence through the system, leading to difficulties in determining responsibility and preventing true full-process traceability.
[0008] In summary, existing technologies urgently need a new experimental information management solution that can break down data barriers, improve automation levels, ensure storage security, and possess powerful data visualization and long-term traceability capabilities. Summary of the Invention
[0009] The purpose of this invention is to overcome the shortcomings of traditional test information management systems in terms of data integration, processing efficiency, storage security and visualization functions, and to provide a test information management system and method based on intelligent data management.
[0010] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a test information management system based on intelligent data management, comprising: The test product management module is used to import and configure data for products to be tested; The test information management module is used to define basic test information based on the data of the product to be tested and to associate the required test equipment; The test document management module is used to manage test standard information based on the data of the product to be tested, and to perform standard configuration of the test equipment; The test resource management module is used to manage the test equipment and personnel information, and to monitor the status of the test equipment and data logs; The test task management module is used to start test tasks according to the test items of the product to be tested, associate product information by recognizing the product identification code, drive the configured test equipment to collect data, and generate test reports and evaluation results after the test is completed. The test record management module is used to store test reports and evaluation results, and supports pushing test reports and evaluation results to external platforms; The test category management module is used to define different test types and provide a basis for judging the evaluation results of the test task management module; The monitoring and management module is used to access and manage the real-time playback and replay of video monitoring footage from the test site. The data visualization module is used to integrate and display real-time video surveillance footage, test reports, and evaluation results; The intelligent data management module is used to clean, identify, analyze, and detect anomalies in signal data and video image data within the system. The system management module is used to configure user permissions and operation logs; The test product management module, test information management module, test document management module, test resource management module, test task management module, test record management module, test category management module, monitoring management module, data dashboard visualization module, intelligent data management module, and system management module form a closed-loop logic through data sharing and process triggering, realizing full-process digital management from product import, test configuration, task execution, data collection, result evaluation, record traceability, resource monitoring to statistical analysis.
[0011] The test task management module also includes a three-color alarm light linkage unit, which is used to control the three-color alarm lights to illuminate and display alarms according to the pass / fail status of the test report and evaluation results.
[0012] When associating test equipment with the data of the product to be tested in the test information management module, the module includes: allowing users to freely associate or unassociate different test equipment under the same test item, or assigning the same test equipment to multiple different test items to form a dynamic test topology.
[0013] The intelligent data management module also has signal data processing application functions, which can automatically process and identify features of video streams and image streams from the monitoring and management module, and associate and bind the identification results with test reports and evaluation results.
[0014] The test product management module supports entering or batch importing data of products to be tested according to a preset data format, and establishes a mapping relationship between test product data and test categories and test items.
[0015] The data visualization module further includes an experimental result analysis unit, which is used to perform statistical analysis on the generated experimental report from multiple dimensions and display the analysis results in a graphical manner.
[0016] Secondly, the present invention provides a test information management method based on intelligent data management, comprising the following steps: S1: Maintain different test categories and configure corresponding test items for each category; S2: Import the data of the product to be tested and associate the product with the corresponding test category; S3: Customize basic test information according to test requirements, associate the required test equipment according to test category, and perform standard configuration of test equipment; S4: Start the test task. Scan the QR code of the product to be tested with a barcode scanner. The system will automatically retrieve the product information and activate the configured test equipment to collect data. S5: During the test, real-time video of the site is collected, and the collected test data and video image data are processed and anomalies are detected in real time. S6: After the test is completed, the system will automatically generate test records and test reports; S7: Perform multi-dimensional statistical analysis and display on the generated test records and test reports.
[0017] In step S4, while the device is collecting data, it simultaneously monitors the device status and records data logs to ensure the integrity and traceability of the data collection process.
[0018] The method further includes: during the test, if abnormal values are detected in the test data or the equipment status deviates from the threshold, the system automatically triggers an early warning mechanism and marks and displays it in the data visualization module.
[0019] Thirdly, the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a test information management method based on intelligent data management.
[0020] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a test information management system and method based on intelligent data management. Through modular architecture design and intelligent data processing logic, it effectively solves the pain points of traditional test management models, such as process fragmentation, data silos, low equipment utilization, and delayed anomaly response. By connecting test product management, test task execution, and test record traceability, it breaks down information barriers between various business links in the traditional model. From product import, test configuration, task initiation, data collection to final report generation, the entire process of data flow is automatic, eliminating the need for manual transcription or offline transmission. This not only eliminates the risks of loss and damage caused by paper document circulation but also greatly shortens the test cycle and ensures the integrity and consistency of the data chain.
[0021] Furthermore, unlike traditional fixed test scheduling, this invention introduces a dynamic association mechanism in the test information management module. Users can freely associate or unassociate different test devices under the same test item, and it supports assigning the same device to multiple test items. This flexible many-to-many resource scheduling mode breaks the one-to-one binding limitation between physical equipment and test tasks, making the configuration of test resources more in line with actual production needs, and significantly improving the utilization rate of expensive test equipment and the overall throughput capacity of the laboratory. Attached Figure Description
[0022] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a screenshot of the interface for the experimental product management module; Figure 3 This is a screenshot of the test category management module interface. Figure 4 This is a screenshot of the test task management module interface; Figure 5 This is a screenshot of the monitoring and management module interface. Figure 6 For data visualization dashboards; Figure 7 This is a system diagram of Embodiment 3 of the present invention. Detailed Implementation
[0023] To further understand the content of this invention, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments are merely illustrative and not limiting of the invention.
[0024] Example 1 An experimental information management system based on intelligent data management includes: The test product management module is used to import and configure data for products to be tested; it supports batch import of test product data (including product ID, model, specifications, production batch, etc.) from Excel templates, or real-time acquisition of product data from ERP / MES systems via API interface, and establishes a mapping relationship between test product data and test categories and test items; it has built-in data verification rules that can automatically mark abnormal data and prompt for correction; it establishes a dynamic mapping relationship between product data and test categories and test items (e.g., the "battery pack" product is automatically associated with categories such as "charge and discharge cycle test" and "high temperature aging test" and corresponding test items).
[0025] The test information management module is used to define basic test information based on the data of the product to be tested and associate the required test equipment. It allows for customization of the equipment associated with each test item according to test requirements, thus enabling flexible combinations of various equipment and test items. Basic test information is defined based on imported product data, including test name, start and end times, responsible person, priority, etc. The test equipment association function supports: freely selecting / unassociating test equipment under the same test item; assigning the same equipment to multiple test items (e.g., "Temperature and Humidity Chamber C" simultaneously serves "High and Low Temperature Test" and "Damp Heat Test"); and dynamically generating a test topology diagram to intuitively display the equipment-test item association relationship.
[0026] The test document management module is used to manage test standard information based on the data of the product to be tested and to configure the test equipment according to standards. It supports multiple types of test standard configurations and supports one-click import of Excel spreadsheets for standard configuration, providing a basis for test result evaluation.
[0027] The test resource management module is used to manage the test equipment and personnel information, and monitor the status of the test equipment and data logs; Test equipment management: register equipment number, model, calibration cycle, and current status (idle / running / faulty), and collect equipment operation data (voltage, current, temperature, etc.) in real time through the IoT gateway and record the data logs; Test personnel management: maintain personnel qualification information (such as "high voltage test operation certificate"), and automatically verify the matching of personnel qualifications when assigning tasks.
[0028] The test task management module is used to initiate test tasks based on the test items of the product to be tested, associate product information by identifying the product identification code, drive the configured test equipment to collect data, and generate test reports and evaluation results after the test is completed. Specifically: Different test items are selected for different test tasks. After the test begins, the QR code on the corresponding product is scanned by a barcode scanner to automatically obtain product information. The configured test item equipment begins to collect test data and generates corresponding test task information. After the test is completed, a corresponding test report and test result evaluation data can be generated based on the template, facilitating retrospective analysis. Additionally, a three-color alarm light device is connected, which illuminates corresponding alarm lights based on the test results (e.g., green light for qualified results; yellow light for minor abnormalities; red light for serious abnormalities), and the on-site alarm lights are controlled by relays.
[0029] The test record management module is used to store test reports and evaluation results, and supports pushing test reports and evaluation results to external platforms. After the test task is completed, test record information is generated. Users can use this function to view the test record status and data push status, and it supports automatic and manual push to the target platform.
[0030] The test category management module defines different test types and provides a basis for judging the evaluation results of the test task management module. It maintains test categories, supports testing of multiple products, and is compatible with different test item configurations for different test categories. By selecting the maintained test category data through the test interface, different product testing functions can be implemented.
[0031] The monitoring and management module is used to access and manage the real-time playback of video surveillance footage from the test site; it accesses the cameras at the test site via the RTSP (Real Time Streaming Protocol) protocol, supporting real-time playback of multi-screen splitting; the recorded footage is stored to an NVR (Network Video Recorder), supporting retrieval and playback by time and test task.
[0032] The data visualization module integrates and displays real-time video monitoring footage, test reports, and evaluation results. It presents video monitoring footage and vividly displays historical test data using line charts and bar charts, while also performing detailed statistical analysis of the results based on test type and time dimension. It also includes a test result analysis unit, supporting statistical analysis of pass rates by product model and test category, generating bar charts / pie charts; and generating line charts through trend analysis (such as the capacity degradation trend of a certain product model over the past 3 months).
[0033] The intelligent data management module supports data cleaning, classification, integration, storage, and querying. It also supports signal data processing applications, including processing and recognizing video and image data generated by monitoring and oscilloscopes, monitoring the test status of test components, detecting outliers generated during tests, and analyzing, diagnosing, and mining historical data. Furthermore, it possesses signal data processing application capabilities, enabling automated processing and feature recognition of video and image streams from the monitoring and management module, and linking the recognition results with test reports and evaluation results.
[0034] The system management module includes user management, role management, menu management, organizational structure management, job management, and operation logs, which are used to configure user permissions and operation logs.
[0035] Furthermore, the test product management module, test information management module, test document management module, test resource management module, test task management module, test record management module, test category management module, monitoring management module, data dashboard visualization module, intelligent data management module, and system management module form a closed-loop logic through data sharing and process triggering, realizing full-process digital management from product import, test configuration, task execution, data collection, result evaluation, record traceability, resource monitoring to statistical analysis.
[0036] Example 2 A method for managing experimental information based on intelligent data management includes the following steps: S1: Maintain different test categories and configure corresponding test items for each category; the system administrator enters the test category management interface through the system management module and defines the top-level category according to industry characteristics (such as military, automotive, and electronics). Each category represents a specific type of test, such as "environmental adaptability test", "electromagnetic compatibility test" or "performance durability test".
[0037] For each defined test category, users further configure specific test items. This process includes not only defining the name of the test item (such as "high temperature aging test" or "random vibration test"), but also setting the inherent judgment logic, pass / fail threshold range, and required resource attributes for that test item (such as whether the required equipment type is "temperature and humidity chamber" or whether a "data acquisition card" is needed). These configurations provide a benchmark for the standardized execution of subsequent tests.
[0038] S2: Import the data of the product to be tested and associate the product with the corresponding test category; users can enter the static attribute data of the product to be tested through the test product management module by using template import or API interface connection.
[0039] The system establishes a binding relationship between the imported product data and the specific "test category" defined in step S1, based on preset rules or user-specified methods. The system automatically retrieves all test items under this category and generates a test list for the product, thereby establishing a hierarchical mapping relationship of "product-category-test item" and providing a data index for subsequent task distribution.
[0040] S3: Customize basic test information according to test requirements, associate the required test equipment according to test category and perform standard configuration of test equipment; users create specific test tasks and enter basic information such as test name, commissioning unit, and expected start and end time.
[0041] Based on the test list generated in step S2, the system automatically recommends or allows users to manually select the required test equipment. The core of this system lies in its support for establishing dynamic topology relationships: users can freely associate multiple devices under the same test item according to the real-time status of the devices (idle / occupied / faulty), or assign the same device to multiple different test items, realizing cross-task sharing and maximizing the utilization of hardware resources.
[0042] After selecting the equipment, the system calls the corresponding standard stored in the test document management module, automatically parses the parameter indicators (such as temperature curves and voltage ranges) in the standard file, and sends these parameters to the associated test equipment to complete the automated pre-configuration of the equipment, eliminating the error risk of manual parameter setting.
[0043] S4: Start the test task. Scan the QR code on the product to be tested using a barcode scanner. The system automatically retrieves the product information and activates the configured test equipment for data acquisition. The operator scans the QR code on the product to be tested using a barcode scanner. After receiving the code value, the system first verifies whether the product belongs to the current task queue to prevent incorrect or missed tasks.
[0044] After successful verification, the system automatically activates the corresponding test equipment via industrial bus (such as Modbus, CAN, TCP / IP) according to the configuration in step S3. After the equipment starts up, it collects test data (such as temperature, pressure, and vibration waveforms) at a preset frequency, and the data stream is uploaded to the system server in real time, achieving seamless integration of scan-to-measure.
[0045] S5: During the test, the system collects on-site video in real time and processes and detects anomalies in the collected test data and video images in real time; the monitoring and management module accesses the IPC cameras at the test site through the RTSP protocol, pulls the video stream of the test process in real time, and performs distributed storage.
[0046] The intelligent data management module performs cleaning operations such as filtering and noise reduction and missing value filling on the uploaded time-series signal data; at the same time, it performs frame extraction processing on the video stream and uses computer vision algorithms (such as target detection and behavior recognition) to analyze the test scene and identify visual features such as "smoke", "liquid leakage" and "personnel leaving their posts".
[0047] The system performs spatiotemporal alignment and correlation analysis between the cleaned numerical data and the identified image features. When a numerical value exceeds the limit or a visual anomaly is detected, the system immediately triggers an abnormal event and can activate the three-color alarm light of the test task management module for audible and visual alarms. At the same time, alarm information is pushed to the responsible person's terminal via the message bus, achieving millisecond-level anomaly response.
[0048] S6: Upon completion of the test, the system automatically generates test records and a test report. After the test, the system automatically stops data acquisition and archives all raw data, process logs, and alarm records to the test record management module. The system calls the report template engine to automatically fill in basic test information, product information, collected raw graphs, and the analysis results from step S5. Based on the judgment logic set in step S1, the system automatically provides a "qualified" or "unqualified" judgment conclusion and generates a standardized test report. This eliminates the need for manual data processing, greatly improving the efficiency and objectivity of report preparation.
[0049] S7: Performs multi-dimensional statistical analysis and display of generated test records and reports. The data visualization module provides multi-dimensional analysis dashboards. Users can perform segmented analysis by product model, supplier, test type, time period, etc. For example, statistically analyze the monthly pass rate trend of a certain product model, compare the failure distribution of components from different suppliers, and analyze the failure rate of specific test equipment. The analysis results are displayed intuitively in the form of pie charts, bar charts, line charts, etc., assisting management in quality traceability, capacity assessment, and R&D improvement decisions.
[0050] Example 3 Please see Figure 7 As shown, the present invention also provides an electronic device 100 for a test information management method based on intelligent data management; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
[0051] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the test information management method based on intelligent data management described in Embodiment 2 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.
[0052] The at least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100, connecting various parts of the electronic device 100 via various interfaces and lines.
[0053] The memory 101 in the electronic device 100 stores multiple instructions to implement a test information management method based on intelligent data management, and the processor 102 can execute the multiple instructions to achieve the following: S1: Maintain different test categories and configure corresponding test items for each category; S2: Import the data of the product to be tested and associate the product with the corresponding test category; S3: Customize basic test information according to test requirements, associate the required test equipment according to test category, and perform standard configuration of test equipment; S4: Start the test task. Scan the QR code of the product to be tested with a barcode scanner. The system will automatically retrieve the product information and activate the configured test equipment to collect data. S5: During the test, real-time video of the site is collected, and the collected test data and video image data are processed and anomalies are detected in real time. S6: After the test is completed, the system will automatically generate test records and test reports; S7: Perform multi-dimensional statistical analysis and display on the generated test records and test reports.
[0054] Example 4 If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).
[0055] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0056] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0057] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0058] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.
Claims
1. A test information management system based on intelligent data management, characterized by, include: The test product management module is used to import and configure data for products to be tested; The test information management module is used to define basic test information based on the data of the product to be tested and to associate the required test equipment; The test document management module is used to manage test standard information based on the data of the product to be tested, and to perform standard configuration of the test equipment; The test resource management module is used to manage the test equipment and personnel information, and to monitor the status of the test equipment and data logs; The test task management module is used to start test tasks according to the test items of the product to be tested, associate product information by recognizing the product identification code, drive the configured test equipment to collect data, and generate test reports and evaluation results after the test is completed. The test record management module is used to store test reports and evaluation results, and supports pushing test reports and evaluation results to external platforms; The test category management module is used to define different test types and provide a basis for judging the evaluation results of the test task management module; The monitoring and management module is used to access and manage the real-time playback and replay of video monitoring footage from the test site. The data visualization module is used to integrate and display real-time video surveillance footage, test reports, and evaluation results; The intelligent data management module is used to clean, identify, analyze, and detect anomalies in signal data and video image data within the system. The system management module is used to configure user permissions and operation logs; The test product management module, test information management module, test document management module, test resource management module, test task management module, test record management module, test category management module, monitoring management module, data dashboard visualization module, intelligent data management module, and system management module form a closed-loop logic through data sharing and process triggering, realizing full-process digital management from product import, test configuration, task execution, data collection, result evaluation, record traceability, resource monitoring to statistical analysis.
2. The test information management system based on intelligent data management according to claim 1, characterized in that, The test task management module also includes a three-color alarm light linkage unit, which is used to control the three-color alarm lights to illuminate and display alarms according to the pass / fail status of the test report and evaluation results.
3. The experimental information management system based on intelligent data management according to claim 1, characterized in that, When associating test equipment with the data of the product to be tested in the test information management module, the module includes: allowing users to freely associate or unassociate different test equipment under the same test item, or assigning the same test equipment to multiple different test items to form a dynamic test topology.
4. The test information management system based on intelligent data management according to claim 1, characterized in that, The intelligent data management module also has signal data processing application functions, which can automatically process and identify features of video streams and image streams from the monitoring and management module, and associate and bind the identification results with test reports and evaluation results.
5. The test information management system based on intelligent data management according to claim 1, characterized in that, The test product management module supports entering or batch importing data of products to be tested according to a preset data format, and establishes a mapping relationship between test product data and test categories and test items.
6. The experimental information management system based on intelligent data management according to claim 1, characterized in that, The data visualization module further includes an experimental result analysis unit, which is used to perform statistical analysis on the generated experimental report from multiple dimensions and display the analysis results in a graphical manner.
7. A test information management method based on intelligent data management, based on the test information management system based on intelligent data management according to any one of claims 1 to 6, characterized in that, Includes the following steps: S1: Maintain different test categories and configure corresponding test items for each category; S2: Import the data of the product to be tested and associate the product with the corresponding test category; S3: Customize basic test information according to test requirements, associate the required test equipment according to test category, and perform standard configuration of test equipment; S4: Start the test task. Scan the QR code of the product to be tested with a barcode scanner. The system will automatically retrieve the product information and activate the configured test equipment to collect data. S5: During the test, real-time video of the site is collected, and the collected test data and video image data are processed and anomalies are detected in real time. S6: After the test is completed, the system will automatically generate test records and test reports; S7: Perform multi-dimensional statistical analysis and display on the generated test records and test reports.
8. The experimental information management method based on intelligent data management according to claim 7, characterized in that, In step S4, while collecting data, the device simultaneously monitors its status and records data logs to ensure the integrity and traceability of the data collection process.
9. The experimental information management method based on intelligent data management according to claim 7, characterized in that, The method further includes: during the test, if abnormal values are detected in the test data or the equipment status deviates from the threshold, the system automatically triggers an early warning mechanism and marks and displays it in the data visualization module.
10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the test information management method based on intelligent data management as described in any one of claims 7 to 8.