Bearing detection digitization and precision determination system and operation method thereof

Abstract

The invention discloses a bearing detection digitization and precision judgment system and an operation method thereof, and belongs to the technical field of bearing quality detection, and the system comprises an inspection registration module, a task scheduling module, a detection data entry module, an intelligent judgment engine, a report generation module, a database and a data statistical analysis module. The intelligent judgment engine integrates a bearing part precision judgment unit and a bearing finished product precision judgment unit for part production and finished product acceptance scenes respectively, and can dynamically match a tolerance rule set according to a bearing identifier and a precision grade to realize automatic comparison and intelligent judgment of actually measured data; wherein the finished product precision judgment unit supports a reachability analysis function, and can simulate and compare higher precision grades to locate performance bottlenecks. Through full-process digital closed loop and intelligent judgment, the problems that the bearing detection process is discrete, judgment depends on manpower and data utilization is insufficient are solved, and the detection efficiency, judgment accuracy and data value are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a bearing detection digitization and precision determination system and its operation method, belonging to the technical field of bearing quality detection. BACKGROUND

[0002] As a key basic part of mechanical equipment, the quality of bearings directly affects the precision, service life and reliability of the main machine. Bearing detection runs through the whole process of bearing manufacturing, factory acceptance and failure analysis, and is the core link to ensure the quality of bearings. However, the traditional bearing detection mode has a series of technical pain points, which seriously restricts the improvement of detection efficiency and quality management level.

[0003] The traditional bearing submission, detection and report generation process relies on offline paper documents and manual transmission. The submission unit needs to fill out a paper submission form, the detection agency needs to manually allocate tasks and record detection data, and finally manually prepare a detection report. This mode leads to a long information transmission chain, easy errors, low flow efficiency, and the submission unit cannot real-time master the detection progress, the detection agency has difficulty in internal task coordination, forming multiple information islands.

[0004] Whether it is the size tolerance, rotation accuracy, clearance and vibration value determination of bearing finished products, or the size, geometric tolerance and material performance determination of bearing parts, detection personnel need to manually compare the measured data with the tolerance value one by one. This process is tedious and time-consuming, and a single complex determination usually takes 15 to 30 minutes, and is prone to errors due to human fatigue or understanding bias.

[0005] The bearing-related technical standard system is complex and updated frequently, and technical personnel have difficulty in obtaining and accurately applying the latest standards in time. At the same time, a large amount of historical detection data is stored in a non-structured way, lacking effective management and analysis means, making it difficult to statistically analyze quality trends and locate weak links in the process, and the data value cannot be fully tapped.

[0006] Low efficiency and prone to errors, affecting the professional image and authority of the detection agency's report.

[0007] Currently, there are some bearing detection-related software tools on the market, but most of them have single functions, or are only used for collecting certain specific parameters, or are only simple database management, and cannot realize online collaboration from submission to report generation. Moreover, they lack intelligent judgment based on rule engines and deep data analysis capabilities, and cannot meet the urgent needs of the bearing industry for efficient, accurate and intelligent quality management.

[0008] It is particularly important to note that the traditional detection system does not distinguish between the precision determination of bearing parts and the precision determination of bearing finished products, resulting in insufficient universality and pertinence of the system, and failing to meet the different needs of the two types of users. SUMMARY

[0009] To solve the above technical problems, the application provides a bearing detection digitization and precision determination system and an operating method thereof, which realizes clear distinction and separate protection of bearing component precision determination and bearing finished product precision determination two core scenes, and meets the differentiated needs of bearing manufacturing enterprises and main machine matching enterprises.

[0010] To achieve the above purpose, the application adopts the following technical solutions: In a first aspect, the application provides a bearing detection digitization and precision determination system, characterized in that it comprises: A submission registration module for receiving submission information and bearing identification, generating task data of a unique submission number; A task scheduling module in communication connection with the submission registration module, for managing task state flow and assigning tasks to a detection execution end; A detection data entry module for dynamically calling a corresponding entry template based on the bearing identification, receiving measured data and structurally storing; An intelligent determination engine in communication connection with the detection data entry module, integrating a bearing component precision determination unit and a bearing finished product precision determination unit, for dynamically matching a tolerance rule set according to the bearing identification and a specified precision grade, comparing the measured data with the rule set to generate a determination result; A report generation module for extracting complete data chain based on the submission number, filling into a preset template to generate a standardized detection report; A database for storing bearing parameter library, standard rule library and structured detection data; A data statistical analysis module in communication connection with the database, for multi-dimensional statistical and visual analysis of historical detection data.

[0011] As a preferred, the bearing component precision determination unit is dedicated to the component precision determination scene of bearing manufacturing enterprises, specifically including: receiving detection data of a ring, a rolling element or a retainer; calling a component precision standard library to match a determination rule; outputting a determination result of component size precision, geometric tolerance or material performance.

[0012] As a preferred, the bearing finished product precision determination unit is dedicated to the finished product acceptance scene of main machine matching enterprises, specifically including: receiving comprehensive detection data of a bearing finished product; calling a finished product precision standard library to match a determination rule; outputting a determination result of at least one of size tolerance, rotation precision, clearance and vibration value; wherein, customized threshold configuration of a main machine enterprise is supported.

[0013] As preferred, the bearing part precision judgment unit automatically identifies the part type according to the bearing identification, dynamically calls the corresponding precision standard template, and automatically prompts the associated parameter re-inspection suggestion when the specific parameter in the detection data exceeds the standard.

[0014] As preferred, the bearing finished product precision judgment unit supports reachability analysis based on the same measured data set: sequentially calling higher precision level rule sets for simulation comparison, outputting the highest precision level that can be reached, the restrictive precision level, and the restrictive parameter information that leads to non-compliance.

[0015] As preferred, the input template in the detection data input module is dynamically generated according to the bearing type or detection item type: when the detection object is a bearing ring, the inner diameter, outer diameter, width, roundness, and cylindricality input fields are activated; when the detection object is a bearing finished product, the rotation precision, clearance, and vibration value input fields are activated; irrelevant fields are automatically hidden, and the interface dynamically adapts to the detection scene.

[0016] As preferred, the intelligent judgment engine includes: a standard rule library manager for maintaining structured and updateable tolerance judgment rules; a rule matcher for constructing a composite query key according to the bearing identification and precision level, and accurately extracting the corresponding tolerance value or calculation formula; a data comparator for performing item-by-item automatic comparison of measured data and rule sets; a reachability analyzer for performing simulation comparison across precision levels and bottleneck parameter positioning.

[0017] As preferred, the submission registration module is configured to: after receiving the submission unit and bearing model information, automatically fill in the geometric parameters from the bearing parameter database; provide a standard database selection interface for users to specify the detection and judgment basis; generate a unique submission number and set the task status, and provide a real-time progress query interface.

[0018] As preferred, the data statistical analysis module includes: extracting data by time, submission unit, bearing model, and production line dimensions; generating quality pass rate trend charts, unqualified item Pareto charts, and defect clustering analysis reports; and displaying bearing production enterprise part quality fluctuations or host matching enterprise finished product acceptance trends through a visual dashboard.

[0019] In a second aspect, the application provides an operating method of the bearing detection digitalization and precision judgment system as described above, characterized in that it comprises: S100, receiving submission information and bearing identification through the submission registration module, and generating a unique submission number; S200, receiving measured data and structuring storage through the detection data input module by calling dynamic templates; S300, calling the corresponding precision judgment unit through the intelligent judgment engine, matching the rule set, and generating the judgment result; S400, generating a standardized report through the report generation module associated with the data chain; S500, quality trend mining and visual presentation through the data statistical analysis module.

[0020] Compared with the prior art, the beneficial effects of the present application are that: Through the differentiated design of bearing part precision judgment and bearing finished product precision judgment, the system can accurately meet the different needs of bearing production enterprises and main machine matching enterprises, greatly improving the practical value and market competitiveness of the system; Through online collaboration and automation throughout the process, the submission process is shortened from an average of 4 hours to about 15 minutes, the precision judgment time relying on manual comparison is shortened from 15-30 minutes to 1 second, and the report generation time is shortened to 10 seconds. The overall detection cycle is greatly compressed; Through dynamic standard matching and automatic algorithm judgment, subjective errors and fatigue errors of manual table comparison are completely eliminated, the judgment accuracy is improved, and the consistency of judgment results of different personnel and different times is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the structures shown in the drawings.

[0022] Figure 1 It is the overall architecture diagram of the bearing detection digitization and precision judgment system of the present application; Figure 2 It is the internal structure and working process diagram of the intelligent judgment engine of the present application; Figure 3 It is the detection judgment and data analysis flowchart for bearing production enterprises of the present application; Figure 4 It is the detection judgment and accessibility analysis flowchart for main machine matching enterprises of the present application; Figure 5 It is the flowchart of the operation method of the bearing detection digitization and precision judgment system of the present application. DETAILED DESCRIPTION

[0023] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0024] Referring to Figure 1 It shows the overall architecture of the bearing detection digitization and precision determination system of a preferred embodiment of the present application. The system mainly includes a submission registration module, a task scheduling module, a detection data entry module, an intelligent determination engine, a report generation module, a database and a data statistical analysis module. Each module is connected and data is exchanged through the system internal bus or network interface.

[0025] The database, as the core data hub of the system, stores three types of key data, including: A bearing parameter library stores standard geometric parameters, material information and the like of various bearing types; A standard rule library stores various precision tolerance rules of international standards (ISO), national standards (GB), industry standards (JB) and user-defined standards in a structured form, and the rules can be updated and maintained through a standard rule library manager, wherein the structured form includes a database table and an XML file; Structured detection data stores the numbers, measured data, determination results and associated information of all submission tasks.

[0026] The submission registration module is responsible for the entry management of the detection task. The user or the submitter inputs the submission unit, bearing type, production batch, planned detection item and the like through the interface of the module, wherein the bearing type is the bearing identifier. After receiving the bearing type, the submission registration module can automatically retrieve the standard inner diameter, outer diameter, width and the like of the type from the bearing parameter library and fill them into the form, reducing manual input. The user can select the standard according to which the current detection and determination are based through a drop-down menu, and in an embodiment, the standard can be GB / T307.1-2017. After submission, the module generates a globally unique submission number, in an embodiment, the format of the submission number is JC20231025001, and creates task data with an initial state of to-be-assigned and stores it in the database.

[0027] The task scheduling module monitors the status of all tasks, wherein the task status includes to-be-assigned, in-detection, to-be-determined and completed. The quality supervisor can assign the task with the status of to-be-assigned to a specific detection execution end, i.e., a detection employee account, according to the busyness or expertise of the detection employee through the module, and the task status is updated and the person in charge is recorded, realizing online driving and transparent management of the process.

[0028] The test data entry module is the main interface for inspectors. After logging into the system and accepting a task, the test data entry module dynamically calls and renders the corresponding data entry template from the template library according to the bearing model and test items in the task.

[0029] Specifically, in one embodiment, if the object to be detected is the inner ring of a deep groove ball bearing 6204, the template is automatically activated and the input fields such as inner diameter, inner ring width, inner ring roundness, and inner ring cylindricity are highlighted, while irrelevant fields such as outer diameter and clearance are hidden or disabled.

[0030] In another embodiment, if the object of inspection is a finished bearing of 6204 used for host acceptance, the template automatically activates fields such as inner diameter, outer diameter, width, radial clearance, axial clearance, inner ring radial runout, outer ring radial runout, and vibration acceleration level.

[0031] The inspector fills in the corresponding fields with the measured data obtained by the measuring instruments (including micrometers, roundness testers, vibration meters, etc.). After submission, the data is stored in the database in the form of structured JSON or database records.

[0032] See Figure 2 The intelligent judgment engine is the brain of the system. It includes two core judgment units and a common support system, namely, the bearing component precision judgment unit, the bearing finished product precision judgment unit, and the common support system.

[0033] Specifically: The bearing component precision assessment unit serves bearing component manufacturers. Upon receiving inspection data for components such as raceways and rolling elements, this unit accurately matches the corresponding dimensional tolerance and geometric tolerance rule sets from the component partition of the standard rule library, based on the component type and selected precision level. Then, a data comparator compares the measured data with each rule item by item. It should be noted that this bearing component precision assessment unit has an intelligent correlation prompt function. In one embodiment, if the measured value of the inner ring roundness exceeds the tolerance, the system may automatically prompt a suggestion to re-inspect the inner ring cylindricity and inner diameter dimensional distribution, as these parameters may be correlated in the manufacturing process.

[0034] The bearing finished product accuracy assessment unit serves OEM manufacturers. Its working logic is similar to that of the bearing component accuracy assessment unit, but the rule set it calls focuses on the overall performance of the finished product, such as dimensional tolerances, rotational accuracy, clearance range, and vibration and noise limits. Furthermore, a key enhancement of the bearing finished product accuracy assessment unit is reachability analysis; this function can be triggered after basic qualification is achieved.

[0035] Specifically, the reachability analyzer sequentially calls rule sets of higher requirements than the current level to simulate and compare the same set of measured data. The final output report clearly indicates that the measured data of this batch of bearings can reach a maximum accuracy of P5, and lists the reason why it cannot reach P4 level as the reason for the out-of-tolerance inner ring radial runout parameter, thus providing a quantitative basis for OEM selection or supplier quality rating.

[0036] The public support system includes: The standard rule base manager is used by administrators to maintain and update rules; The rule matcher is responsible for generating compound query keys based on bearing model, accuracy grade, and inspection items to efficiently retrieve rules; And a data comparator, used to perform core numerical or logical comparison operations.

[0037] The report generation module is triggered after the judgment is completed. Based on the inspection number, it retrieves a complete data chain from the database, including inspection information, measured data, and judgment results. The judgment results include accessibility analysis results. Then, it automatically fills the corresponding positions in the preset Word or PDF report template to generate a standardized test report with uniform format and complete content with one click. It also supports electronic signatures and online submission.

[0038] The data statistical analysis module operates independently of the daily inspection process and is used for quality retrospective analysis and decision support. It extracts historical data from the database and supports filtering and analysis by multiple dimensions, including time range, submitting unit / supplier, bearing model, production line / machine. It can automatically generate: monthly / annual trend line charts of quality pass rates; Pareto charts of non-conforming defects for easy identification of major problems; and cluster analysis reports of defect types.

[0039] It should be noted that, for bearing manufacturers, a dashboard showing the CPK process capability index fluctuation of key dimensions of components on each production line can be displayed; for OEMs, a dashboard showing the batch acceptance rate trend of each supplier can be displayed.

[0040] Specifically, in one embodiment, such as Figure 3 As shown, a bearing manufacturer is inspecting a batch of 6204 inner rings. The system operation procedure is as follows: The inspector registers the task, selects model 6204, and specifies the final inspection item for the inner ring, standard GB / T307.1 P6 grade. The task is then assigned to inspector A. After inspector A logs in, the system presents a dynamic template, and the inspector inputs the measured values ​​of the inner diameter, width, and roundness and submits the data.

[0041] The intelligent judgment engine's component precision judgment unit automatically matches and compares the P6 level inner ring tolerance rules to generate a pass / fail judgment. The system automatically generates an inspection report containing all data.

[0042] Specifically, in another embodiment, such as Figure 4 As shown, a main engine manufacturer accepted a batch of 6308 bearings. The system operation procedure is as follows: The OEM quality inspector registered and accepted the task for model 6308. Based on the company's stricter internal control standards, the inspector completed all items of testing, including vibration and clearance, and entered the data. The finished product accuracy judgment unit then made a pass / fail judgment.

[0043] The quality inspector triggers an accessibility analysis, and the system simulates and compares the P5 and P4 level rules. The report shows that the performance of this batch of bearings reaches the P5 level, but the vibration value limits it from reaching the P4 level, generating a detailed acceptance and performance grading report.

[0044] The purchasing department can compare the long-term P5 level attainability of 6308 bearings from different suppliers through the statistical dashboard, and the quality manager can view the roundness pass rate trend of the grinding line 2 this month through the statistical analysis module.

[0045] like Figure 5 As shown, it summarizes the operation method of a digital bearing inspection and accuracy assessment system, including: S100: Receive inspection information and bearing identification through the inspection registration module, and generate a unique inspection number; S200: The test data is received and stored in a structured manner by calling the dynamic template through the test data input module; S300: The intelligent judgment engine calls the corresponding precision judgment unit, matches the rule set, and generates the judgment result. S400: Generate standardized reports by linking data chains through the report generation module; S500 uses a data statistical analysis module to mine and visualize quality trends.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A digital bearing inspection and accuracy assessment system, characterized in that, include: The inspection registration module is used to receive inspection information and bearing identification, and generate task data with a unique inspection number; The task scheduling module is communicatively connected to the inspection registration module and is used to manage the task status transition and allocate tasks to the inspection execution end. The test data entry module is used to dynamically call the corresponding entry template based on the bearing identification, receive the measured data and store it in a structured manner; The intelligent judgment engine is connected to the detection data input module and integrates the bearing component precision judgment unit and the bearing finished product precision judgment unit. It is used to dynamically match the tolerance rule set according to the bearing identification and specified precision level, and compare the measured data with the rule set to generate a judgment result. The report generation module is used to extract the complete data chain based on the test submission number and fill it into a preset template to generate a standardized test report; The database is used to store bearing parameter libraries, standard rule libraries, and structured test data; The data statistical analysis module communicates with the database and is used to perform multi-dimensional statistical and visualization analysis on historical detection data.

2. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The bearing component precision determination unit is specifically designed for component precision determination scenarios in bearing manufacturing enterprises, and specifically includes: Receive test data for raceways, rolling elements, or cages; Call the component precision standard library to match the judgment rules; Output the results of judging the dimensional accuracy, geometric tolerances, or material properties of the parts; The component accuracy determination includes at least one of the following: ring size accuracy determination, rolling element accuracy determination, and bearing component material performance determination.

3. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The bearing finished product accuracy judgment unit is specifically designed for finished product acceptance scenarios of main engine component suppliers, and specifically includes: Receive comprehensive testing data of finished bearing products; Call the finished product accuracy standard library to match the judgment rules; Output the judgment result of at least one of the following: dimensional tolerance, rotational accuracy, clearance, and vibration value; It also supports customized threshold configuration for host manufacturers. The finished product accuracy determination includes at least one of bearing finished product size tolerance determination, rotational accuracy determination, clearance determination, and vibration value determination.

4. The bearing inspection digitalization and accuracy determination system according to claim 2, characterized in that, The bearing component accuracy determination unit automatically identifies the component type based on the bearing markings and dynamically calls the corresponding accuracy standard template; when a specific parameter in the test data exceeds the standard, it automatically prompts a suggestion for re-inspection of the associated parameters.

5. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The bearing finished product accuracy determination unit supports reachability analysis based on the same measured dataset: it sequentially calls higher accuracy level rule sets for simulation comparison and outputs the highest achievable accuracy level, limiting accuracy level, and limiting parameter information that causes non-compliance.

6. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The data entry template in the test data entry module is dynamically generated based on the bearing type or test item type: When the object being inspected is a bearing ring, activate the input fields for inner diameter, outer diameter, width, roundness, and cylindricity. When the object of inspection is a finished bearing, activate the input fields for rotational accuracy, clearance, and vibration value. Irrelevant fields are automatically hidden, and the interface dynamically adapts to the detection scenario.

7. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The intelligent judgment engine includes: The standard rule base manager is used to maintain structured, updatable tolerance determination rules; The rule matcher is used to construct a composite query key based on the bearing identification and accuracy grade, and accurately extract the corresponding tolerance value or calculation formula. A data comparator is used to perform an automatic, item-by-item comparison between measured data and a rule set; The reachability analyzer is used to perform simulation comparisons and bottleneck parameter localization across accuracy levels.

8. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The inspection registration module is configured as follows: After receiving the information of the submitting unit and bearing model, the system automatically fills in the geometric parameters from the bearing parameter database. A standard database selection interface is provided for users to specify the testing and judgment criteria; Generate a unique submission number and set the task status, providing a real-time progress query interface.

9. The bearing inspection digitalization and accuracy determination system according to claim 1, characterized in that, The data statistical analysis module includes: Data was extracted based on time, submitting unit, bearing model, and production line. Generate a quality pass rate trend chart, a Pareto chart of non-conforming items, and a defect cluster analysis report; The visualization dashboard displays the quality fluctuations of bearing manufacturers' components or the finished product acceptance trends of main engine component suppliers.

10. An operating method for the bearing inspection digitization and accuracy determination system as described in any one of claims 1-9, characterized in that, include: S100: Receive inspection information and bearing identification through the inspection registration module, and generate a unique inspection number; S200: The test data is received and stored in a structured manner by calling the dynamic template through the test data input module; S300: The intelligent judgment engine calls the corresponding precision judgment unit, matches the rule set, and generates the judgment result. S400: Generate standardized reports by linking data chains through the report generation module; S500 uses a data statistical analysis module to mine and visualize quality trends.

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