A component size quality control system and method

Abstract

The invention discloses a component dimension quality control system and method, belonging to the technical field of mechanical component dimension quality control, comprising a detection module and a data analysis module. The detection module is used to perform real-time detection on produced gears to obtain detection data of each gear; the data analysis module is used to perform quality control analysis on the detection data of the gears, and determine the corresponding detection result according to the detection data of each gear, the detection result includes whether the detection is qualified and the corresponding detailed result data; for unqualified detection, the detailed result data includes unqualified position and deviation value; for qualified detection, the detailed result data includes error position and error value; the gears are divided into a plurality of statistical parts, the detection result of each gear is obtained in real time, and the detection curve graph corresponding to each statistical part is set according to the obtained detection result; based on each detection curve graph, it is judged whether gear production quality control is needed.

Description

[0001] This application is a divisional application of the application filed on November 24, 2023, with application number 2023115800066 and invention name “A component size quality control system and method”. Technical Field

[0002] The invention belongs to the technical field of mechanical parts dimensional quality control, and in particular is a parts dimensional quality control system and method. Background Art

[0003] Mechanical parts, also known as mechanical elements, are the basic components of machinery and are inseparable individual parts that make up machinery and machines. Gears, bolts, nuts, washers, shafts, keys, pistons, cylinders, bearings, pins, chains, etc. are all mechanical parts; among them, gears are an important part of mechanical parts, and gear size detection has always been a necessary item in the field of gear production and application. However, many companies often only detect gear sizes, which does not have a great effect on improving the quality of future gear production.

[0004] For example, the patent with publication number CN108151646A discloses a gear detection system, which belongs to the field of detection technology and includes a 3D imaging module, a processor module and an error prompt module, wherein the 3D imaging module and the processor module; the processor module includes a real object and standard size comparison unit, a control unit and a result output unit, wherein the real object and standard size comparison unit are connected to the control unit; the control unit is used to control the real object and standard size comparison unit and the result output unit; the result output unit is used to output the result under the control of the control unit; the error prompt module is used to prompt the result output unit of the detection error.

[0005] The above patent identifies the size of the gear by collecting gear images and compares the collected size with the standard size. Although the gear size can be detected, it does not involve how to control the subsequent production quality. This is also a common phenomenon in many current manufacturing companies. Various gear size detection technologies are used to detect gear size and eliminate unqualified ones. No in-depth analysis is performed. Generally, analysis is performed only when the pass rate is too low, and many of them are analyzed manually, which is inefficient. The size quality control cannot be performed in a timely manner.

[0006] Therefore, in order to solve the problem of gear dimensional quality control, the present invention provides a component dimensional quality control system and method. Summary of the invention

[0007] In order to solve the problems existing in the above solutions, the present invention provides a component dimension quality control system and method to solve the existing gear dimension quality control problem.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] A component dimension quality control system, comprising a detection module and a data analysis module;

[0010] The detection module is used to perform real-time detection on the produced gears to obtain detection data of each gear.

[0011] Furthermore, the working method of the detection module includes:

[0012] Establishing a technology library, wherein various verified gear size detection technologies are stored in the technology library and marked as backup technologies; and corresponding technical description data are set for each backup technology;

[0013] Identify the detection environment input by the user, and determine the corresponding backup technology as the recommended technology according to the obtained detection environment and the technical description data;

[0014] The recommended technology is recommended to the user, and the user determines the detection technology to be applied; and the detection is performed according to the detection technology to be applied.

[0015] Furthermore, the method for determining the recommended technology includes:

[0016] Input the obtained detection environment into the technology library for matching, obtain various candidate technologies that meet the detection environment requirements, and mark them as candidate technologies;

[0017] Identify the detection performance value and cost corresponding to the candidate technology, and mark the detection performance value and the cost as HZ and CBM respectively;

[0018] According to the recommended formula TF = b3 × HZ-b4 × CBM 1.38 Calculate the corresponding recommended value TF, b3 and b4 are both proportional coefficients, and the value range is 0 <b3<1,0<b4<1;

[0019] The candidate technology with the highest recommendation value is marked as the recommended technology.

[0020] Furthermore, the method for obtaining the detection performance value includes:

[0021] Identify various backup technologies in the technology library, and obtain the detection accuracy and detection correctness corresponding to each of the backup technologies;

[0022] The backup techniques are compared with each other, and the corresponding detection accuracy and detection correctness are marked as JD1, JD2, ZQ1 and ZQ2 respectively;

[0023] According to the positioning formula DW = [b1 × (1-|JD1-JD2|) + b2 × |ZQ1-ZQ2|] × 100, the corresponding positioning difference is calculated. b1 and b2 are both proportional coefficients with a value range of 0. <b1<1,0<b2<1;

[0024] Identify the positioning differences between the backup technologies, sort the backup technologies in descending order of positioning values, and set the detection performance values ​​of the first and last ranked backup technologies to 100 and 70 respectively;

[0025] Identify the positioning difference between the first and last backup technologies, marked as the standard deviation value BZ;

[0026] Mark the backup technology without detection performance value as a technology to be converted, and mark the technology to be converted as i, i=1, 2, ..., n, and n is the number of technologies to be converted;

[0027] Identify the positioning difference between each technology to be converted and the last backup technology in the sorting, marked as MKi;

[0028] The detection performance value HZ of each technology to be converted is calculated according to the detection performance formula HZ=70+(BZ÷30)×MKi.

[0029] The data analysis module is used to perform quality control analysis on the gear test data, and determine the corresponding test results according to the test data of each gear. The test results include whether the test is qualified and the corresponding detailed result data; if the test is unqualified, the detailed result data includes the unqualified position and the deviation value; if the test is qualified, the detailed result data includes the error position and the error value;

[0030] Divide the gears into several statistical parts, obtain the detection results of each gear in real time, and set the detection curve graph corresponding to each statistical part according to the obtained detection results;

[0031] Based on each test curve, it is determined whether the gear production has a cumulative error exceeding the standard, and gear production quality control is required;

[0032] When it is determined that gear production quality control is required, the data of the period of time exceeding the standard is obtained, and the data of the period of time exceeding the standard includes the period of time exceeding the standard, the comprehensive evaluation value of each statistical department corresponding to the period of time exceeding the standard, the test data, the test results, and the test curve chart;

[0033] Determine the cause of the exceeding of the standard based on the data of the exceeding period; issue an early warning to the corresponding management personnel, and send the obtained cause of the exceeding of the standard to the corresponding management personnel; the management personnel will check and adjust the gear production based on the obtained cause of the exceeding of the standard.

[0034] Furthermore, the setting method of the detection curve graph includes:

[0035] Number each gear according to the detection order, and assign the corresponding number to each statistical unit at the same time; divide the gear detection results according to the corresponding data of each statistical unit, obtain the corresponding statistical result data of each statistical unit, and mark the corresponding number;

[0036] With the number as the horizontal axis and the difference as the vertical axis, establish the coordinate axis corresponding to each statistical department; set the corresponding statistical coordinate according to the statistical result data;

[0037] Mark each statistical coordinate in the corresponding coordinate, and distinguish the coordinates corresponding to the deviation value, use a smooth curve to connect the statistical coordinates in sequence to form a detection curve corresponding to each statistical part, and form a corresponding curve function based on the detection curve, marked as f(x); mark the current coordinate graph as the detection curve graph.

[0038] Furthermore, the method for setting the statistical coordinates includes:

[0039] Identify the error value or deviation value corresponding to the statistical result data;

[0040] If it is an error value, the error value is used as the vertical axis coordinate;

[0041] If it is a deviation value, the absolute value of the deviation value will be taken as the vertical axis coordinate;

[0042] The statistical coordinates corresponding to the statistical result data are formed according to the corresponding numbers.

[0043] Furthermore, the method for determining whether gear production quality control is required includes:

[0044] Preset the analysis time, mark the corresponding analysis span in the detection curve graph in real time according to the analysis time, identify the first coordinate and the second coordinate corresponding to the analysis span, mark the first coordinate as (x1, y1), and mark the second coordinate as (x2, y2);

[0045] Identify the corresponding curve function f(x) in the detection curve graph, and calculate the corresponding comprehensive evaluation value according to the comprehensive evaluation formula;

[0046] When the comprehensive evaluation value is lower than the threshold value X1, it is judged that gear production quality control is not necessary;

[0047] When the comprehensive evaluation value is not lower than the threshold value X1, it is determined that gear production quality control is required.

[0048] Furthermore, the comprehensive evaluation formula is:

[0049] In the formula: i represents the statistical coordinates of the corresponding mark in the span from x1 to x2, i=1, 2, ..., n, n represents the number of statistical coordinates of the corresponding mark; Aci is the correction value of the statistical coordinates of the corresponding mark.

[0050] Furthermore, the comprehensive evaluation formula is:

[0051] Furthermore, the method for setting the cause of exceeding the standard includes:

[0052] Obtain various reasons for exceeding the standard in the corresponding gear production in real time, obtain the historical detection data corresponding to each reason for exceeding the standard, summarize and count the historical detection data, and obtain several matching coordinates corresponding to each reason for exceeding the standard;

[0053] The obtained matching coordinates are input into the coordinate system, and the matching coordinates corresponding to each exceeding reason are clustered in the coordinate system to form a matching range corresponding to each exceeding reason; thus forming a reason matching graph;

[0054] Identify the comprehensive evaluation value corresponding to each statistical department, and form the cause analysis coordinates of each comprehensive evaluation value according to a preset order; input the obtained cause analysis coordinates into the cause matching diagram to obtain the cause of exceeding the standard corresponding to the cause analysis coordinates.

[0055] A method for controlling the quality of component dimensions, the method comprising:

[0056] Establish a technology library, identify the test environment input by the user, and determine the corresponding recommended technology based on the obtained test environment and the technology description data;

[0057] Recommending the recommended technology to the user, and allowing the user to determine the applied detection technology; performing detection according to the applied detection technology;

[0058] Determine the corresponding detection result according to the detection data of each gear, and set the detection curve graph corresponding to each statistical part according to the obtained detection result;

[0059] Determine whether gear production quality control is required based on each test curve graph;

[0060] When it is determined that gear production quality control is necessary, the reasons for exceeding the standards are determined; an early warning is issued to the corresponding management personnel, and the reasons for exceeding the standards obtained are sent to the corresponding management personnel; the management personnel conduct verification and gear production adjustments based on the reasons for exceeding the standards obtained.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] Through the cooperation between the detection module and the data analysis module, dynamic control of gear quality based on real-time detection data is achieved, and the analysis efficiency is improved. When there are production quality problems, users can be warned in time to ensure production quality and reduce production losses.

[0063] By setting up the detection module, intelligent detection of each gear can be achieved, and the appropriate detection technology can be intelligently recommended according to the user's actual detection environment to help users improve the quality control system; at the same time, it is not limited to specified detection technologies, which improves the compatibility of the system and helps users save costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0066] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] like Figure 1 As shown, a component size quality control system includes a detection module, a data analysis module,

[0068] The detection module is used to perform real-time detection on the produced gears to obtain detection data of each gear.

[0069] In one embodiment, the detection module can directly adopt various existing gear size detection technologies and use the existing gear size detection technologies to realize real-time detection of gears. For example, when the manufacturer already has applied gear detection equipment, from the perspective of practical application, it is not necessary to replace other detection equipment, and it is sufficient to realize the corresponding size detection. If the corresponding detection equipment has not been applied, in view of this situation, a size detection technology recommendation method is provided in this embodiment. According to the actual production situation, a detection technology that meets the requirements of the user is intelligently recommended. The specific method is as follows:

[0070] The platform establishes a technology library, which stores various gear size detection technologies verified by the platform and marked as backup technologies; and sets detailed description data for each backup technology, such as detection principle, equipment composition, cost, detection accuracy, detection accuracy, applicable scope and other data, which are integrated and marked as technical description data, where the applicable scope is used to indicate which detection environments the backup technology is applicable to, such as detection technologies suitable for different gear production lines; dynamically calculate the detection performance value of each backup technology based on the detection accuracy and detection accuracy, and add the calculated detection performance value to the technical description data;

[0071] Identify the detection environment input by the user, that is, the subsequent application environment of the detection technology, input the obtained detection environment into the technology library for matching, obtain the candidate technologies that meet the detection environment requirements, mark them as candidate technologies, identify the detection performance value and cost corresponding to the candidate technologies, mark the detection performance value and cost as HZ and CBM respectively, according to the recommended formula TF = b3×HZ-b4×CBM 1.38 Calculate the corresponding recommended value TF, b3 and b4 are both proportional coefficients, and the value range is 0 <b3<1,0<b4<1;

[0072] The candidate technology with the highest recommendation value is marked as a recommended technology and recommended to the user.

[0073] The detection performance value is set comprehensively based on the detection accuracy and detection accuracy of the candidate technology, and the value range is [70, 100]. Detection technologies with a value lower than 70 are not considered. In order to unify the performance evaluation of each detection technology, the detection performance value is set. The specific detection performance value is dynamically adjusted based on the detection accuracy and detection accuracy of each backup technology in the technology library. The specific setting method includes:

[0074] Identify the various backup technologies in the technology library, identify the detection accuracy and detection accuracy of each backup technology, compare each backup technology pairwise without duplication, and mark the corresponding detection accuracy and detection accuracy as JD1, JD2, ZQ1 and ZQ2 respectively. Calculate the corresponding positioning difference according to the positioning formula DW = [b1×(1-|JD1-JD2|)+b2×|ZQ1-ZQ2|]×100, where b1 and b2 are both proportional coefficients with a value range of 0 <b1<1,0<b2<1;

[0075] According to the positioning difference between each pair of backup technologies, the backup technologies are sorted in descending order of the positioning value, and the detection performance values ​​of the first and last backup technologies are set to 100 and 70 respectively. The positioning difference between the first and last backup technologies is identified and marked as the standard difference value BZ, and the backup technologies without detection performance values ​​are marked as technologies to be converted, that is, the other backup technologies except the first and last backup technologies are marked as technologies to be converted, and the technologies to be converted are marked as i, i=1, 2,..., n, where n is the number of technologies to be converted; the positioning difference between each technology to be converted and the last backup technology is identified and marked as MKi; the detection performance value HZ of each technology to be converted is calculated according to the detection performance formula HZ=70+(BZ÷30)×MKi.

[0076] By setting up the detection module, intelligent detection of each gear can be achieved, and the appropriate detection technology can be intelligently recommended according to the user's actual detection environment to help users improve the quality control system; at the same time, it is not limited to specified detection technologies, which improves the compatibility of the system and helps users save costs.

[0077] The data analysis module is used to perform quality control analysis on the inspection data of the gears, determine the corresponding inspection results according to the inspection data of each gear, and can analyze whether the inspection is qualified based on the corresponding inspection technology. The inspection results include whether the inspection is qualified and the corresponding detailed result data. For example, if the inspection is unqualified, the detailed result data includes data such as the unqualified position and deviation value; if the inspection is qualified, the detailed result data includes data such as the error position and error value;

[0078] According to statistical needs, the gears are divided into corresponding statistical departments, which are set by the user according to actual needs, such as dividing them according to the components of the gears to form statistical departments corresponding to each component;

[0079] Obtain the test results of each gear in real time, and set the test curve graph corresponding to each statistical part according to the obtained test results;

[0080] Preset analysis duration. The analysis duration refers to the analysis of gear test results within a certain period of time. Gears that exceed the analysis duration will not participate in the subsequent gear result analysis. That is, the gear test results outside the analysis duration are considered to have no effect on the current cumulative analysis. For example, unqualified data from one year ago has no effect on the current analysis results. The specific analysis duration span is set by the user or determined according to the analysis time preset by the platform.

[0081] According to the analysis time, the corresponding analysis span is marked in real time in the detection curve graph, two statistical coordinates of the corresponding boundary are determined according to the analysis time, the corresponding coordinate span is identified, and the two statistical coordinates are marked as the first coordinate (x1, y1) and the second coordinate (x2, y2), respectively, where x and y correspond to the horizontal axis coordinate and the vertical axis coordinate respectively;

[0082] Identify the corresponding curve function f(x) in the detection curve graph, and use the comprehensive evaluation formula Calculate the corresponding comprehensive evaluation value ZPK, where Aci is the correction value of the statistical coordinates of the corresponding mark, i represents the statistical coordinates of the corresponding mark in the span from x1 to x2, i=1, 2, ..., n, n is a positive integer, and n represents the number of statistical coordinates of the corresponding mark; the correction value is set according to the statistical coordinates of the mark in the detection curve diagram, because the statistical coordinates of the mark are set with opposite signs, and there is an error with the front and back connections, so in order to improve the accuracy, the correction value corresponding to the statistical coordinate is set, and the corresponding mathematical calculation method is used for calculation according to the opposite coordinates to obtain the corresponding correction value, and the existing mathematical model technology can be used to establish the corresponding mathematical model, and the mathematical model is used to intelligently generate the correction value corresponding to the statistical coordinates of each mark.

[0083] In one embodiment, since the error is not very large, the correction value may be ignored.

[0084] When the comprehensive evaluation value is lower than the threshold value X1, no corresponding operation is performed;

[0085] When the comprehensive evaluation value is not lower than the threshold value X1, it indicates that the cumulative error of gear production exceeds the standard and gear production quality control is required.

[0086] The control method is as follows:

[0087] Obtain the data of the period of time when the standard is exceeded, which includes the period of time when the standard is exceeded (the analysis period corresponding to the corresponding analysis duration), the comprehensive evaluation value of each statistical department corresponding to the period of time when the standard is exceeded, the test data, the test results, the test curve chart and other data;

[0088] The reasons for exceeding the standard are determined based on the data of the period of exceeding the standard, and warnings are issued to corresponding management personnel based on the reasons for exceeding the standard. The management personnel then conduct manual verification and production adjustments based on the reasons for exceeding the standard.

[0089] In one embodiment, the method for determining the cause of exceeding the standard is:

[0090] Create a sample data set, which includes material samples and manually annotated sample sets. The material samples are original picture sets, which are combinations of detection curves of several groups of statistical units. The manually annotated sample sets are picture sets after format conversion of the original pictures and manual annotation of the corresponding reasons for exceeding the standard, that is, multiple groups of original image sets are simulated and set with corresponding reasons for exceeding the standard for each group of original image sets by manual means, and there may be multiple possible reasons for exceeding the standard. The ratio of material samples to manually annotated sample sets in the sample data set is 2:1. The pictures in the manually annotated sample set are binarized and saved in a single-channel form, and the photo sample set and the manually annotated sample set are divided according to the ratio to form a second photo sample set and a second manually annotated sample set. A Linknet network model is built based on the Linknet network structure under the Pytorch deep learning framework, the parameters of the Linknet network model are set, the second photo sample set and the second manually annotated sample set are input into the Linknet network model, and the Linknet network model is trained based on the Pytorch deep learning framework. Multiple models are saved during the training process, and the model with the smallest error is selected as the exceeding standard reason analysis model using the validation set data.

[0091] In one embodiment, the method for determining the cause of exceeding the standard is:

[0092] Identify the comprehensive evaluation values ​​corresponding to each statistical unit, and form the cause analysis coordinates of each comprehensive evaluation value in a preset order; if the comprehensive evaluation values ​​are 1, 2, 3, 4, and 5 respectively, the cause analysis coordinates are (1, 2, 3, 4, 5);

[0093] Real-time acquisition of various reasons for exceeding the standard in the gear production, such as corresponding equipment failure, poor equipment performance, operational errors and other reasons; that is, according to the actual application situation, it can be supplemented according to the newly added reasons for exceeding the standard; a large amount of historical detection data corresponding to each reason for exceeding the standard is acquired, and the historical detection data is summarized and counted to obtain the comprehensive evaluation value of each statistical department corresponding to each reason for exceeding the standard, and the corresponding cause analysis coordinates are formed, marked as matching coordinates, and the obtained matching coordinates are input into the coordinate system, and clustering is performed in the coordinate system according to the matching coordinates corresponding to each reason for exceeding the standard, forming clusters corresponding to each reason for exceeding the standard, marked as matching ranges, and labeled with the corresponding reasons for exceeding the standard; the clustering method can be clustered according to various existing clustering algorithms, such as hierarchical clustering method, K-means clustering algorithm, etc.; forming a cause matching graph;

[0094] The obtained cause analysis coordinates are input into the cause matching diagram to identify various possible exceeding causes corresponding to the cause analysis coordinates.

[0095] The setting method of the detection curve graph includes:

[0096] Number each gear according to the detection order, and number them continuously according to the order, so as to be used as the horizontal axis of the coordinate later, such as 1, 2, 3, 4, 5, 6, x1, x2, x3, x4, x5, x6, etc.; there can be multiple numbering methods; divide the gear detection results according to the data corresponding to each statistical part, obtain the statistical result data corresponding to each statistical part, and mark the corresponding number; divide according to the corresponding position in the detailed result data;

[0097] With the number as the horizontal axis and the difference as the vertical axis, the coordinate axis corresponding to each statistical part is established; the corresponding statistical coordinates are set according to the statistical result data, and the error value or deviation value corresponding to the statistical result data is identified. If it is an error value, the error value is directly used as the vertical axis coordinate. If it is a deviation value, the absolute value of the deviation value is taken as the vertical axis coordinate, and then combined with the corresponding number, the statistical coordinates corresponding to the statistical result data are formed; each statistical coordinate is marked accordingly in the corresponding coordinate, and the coordinate corresponding to the deviation value is marked differently, that is, the coordinate converted from a negative value to a positive value is marked to indicate that the true deviation value corresponding to the coordinate is opposite; each statistical coordinate is connected in sequence with a smooth curve to form a detection curve corresponding to each statistical part, and a corresponding curve function is formed according to the detection curve, marked as f(x); the current coordinate graph is marked as a detection curve graph.

[0098] Through the cooperation between the detection module and the data analysis module, dynamic control of gear quality based on real-time detection data is achieved, and the analysis efficiency is improved. When there are production quality problems, users can be warned in time to ensure production quality and reduce production losses.

[0099] A method for controlling the quality of component dimensions, the method comprising:

[0100] Establish a technology library, identify the test environment input by the user, and determine the corresponding recommended technology based on the obtained test environment and the technology description data;

[0101] Recommending the recommended technology to the user, and allowing the user to determine the applied detection technology; performing detection according to the applied detection technology;

[0102] Determine the corresponding test results according to the test data of each gear, the test results include whether the test is qualified and the corresponding detailed result data;

[0103] Divide the gears into several statistical parts, obtain the detection results of each gear in real time, and set the detection curve graph corresponding to each statistical part according to the obtained detection results;

[0104] Based on each test curve, it is determined whether the gear production has a cumulative error exceeding the standard, and gear production quality control is required;

[0105] When it is determined that gear production quality control is required, the data of the period of time exceeding the standard is obtained, and the data of the period of time exceeding the standard includes the period of time exceeding the standard, the comprehensive evaluation value of each statistical department corresponding to the period of time exceeding the standard, the test data, the test results, and the test curve chart;

[0106] Determine the cause of the exceeding of the standard based on the data of the exceeding period; issue an early warning to the corresponding management personnel, and send the obtained cause of the exceeding of the standard to the corresponding management personnel; the management personnel will check and adjust the gear production based on the obtained cause of the exceeding of the standard.

[0107] The specific undisclosed portion refers to a component dimensional quality control system.

[0108] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0109] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A component size quality control system, characterized in that: Including detection module and data analysis module; The detection module is used to perform real-time detection on the produced gears to obtain detection data of each gear; The data analysis module is used to perform quality control analysis on the gear test data, and determine the corresponding test results according to the test data of each gear. The test results include whether the test is qualified and the corresponding detailed result data; if the test is unqualified, the detailed result data includes the unqualified position and deviation value; For qualified tests, detailed result data includes error location and error value; Divide the gears into several statistical parts, obtain the detection results of each gear in real time, and set the detection curve graph corresponding to each statistical part according to the obtained detection results; The setting method of the detection curve graph includes: Number each gear according to the detection order, and assign the corresponding number to each statistical unit at the same time; divide the gear detection results according to the corresponding data of each statistical unit, obtain the corresponding statistical result data of each statistical unit, and mark the corresponding number; With the number as the horizontal axis and the difference as the vertical axis, establish the coordinate axis corresponding to each statistical department; set the corresponding statistical coordinate according to the statistical result data; Mark each statistical coordinate in the corresponding coordinate, and distinguish and mark the coordinate corresponding to the deviation value, connect each statistical coordinate in turn with a smooth curve to form a detection curve corresponding to each statistical part, and form a corresponding curve function based on the detection curve, marked as f(x); mark the current coordinate graph as a detection curve graph; Based on each test curve, it is determined whether the gear production has a cumulative error exceeding the standard, and gear production quality control is required; When it is determined that gear production quality control is required, the data of the period of time exceeding the standard is obtained, and the data of the period of time exceeding the standard includes the period of time exceeding the standard, the comprehensive evaluation value of each statistical department corresponding to the period of time exceeding the standard, the test data, the test results, and the test curve chart; Determine the reason for exceeding the standard based on the data of the exceeding period; issue an early warning to the corresponding management personnel, and send the obtained reason for exceeding the standard to the corresponding management personnel; the management personnel will check and adjust the gear production based on the obtained reason for exceeding the standard; Among them, judging whether gear production quality control is needed includes: Preset the analysis time, mark the corresponding analysis span in the detection curve graph in real time according to the analysis time, identify the first coordinate and the second coordinate corresponding to the analysis span, mark the first coordinate as (x1, y1), and mark the second coordinate as (x2, y2); Identify the corresponding curve function f(x) in the detection curve graph, and use the comprehensive evaluation formula Calculate the corresponding comprehensive evaluation value; Where: i represents the statistical coordinates of the corresponding marker in the span from x1 to x2, i=1, 2, ..., n, n represents the number of statistical coordinates of the corresponding marker; Aci is the correction value of the statistical coordinates of the corresponding marker; When the comprehensive evaluation value is lower than the threshold value X1, it is judged that gear production quality control is not necessary; When the comprehensive evaluation value is not lower than the threshold value X1, it is judged that gear production quality control is required; The setting methods of statistical coordinates include: Identify the error value or deviation value corresponding to the statistical result data; if it is an error value, use the error value as the vertical axis coordinate; if it is a deviation value, use the absolute value of the deviation value as the vertical axis coordinate; form the statistical coordinates corresponding to the statistical result data according to the corresponding serial number; The working methods of the detection module include: Establishing a technology library, wherein various verified gear size detection technologies are stored in the technology library and marked as backup technologies; and corresponding technical description data are set for each backup technology; Identify the detection environment input by the user, and determine the corresponding backup technology as the recommended technology according to the obtained detection environment and the technical description data; Recommending the recommended technology to the user, and allowing the user to determine the applied detection technology; performing detection according to the applied detection technology; The methods for setting the cause of exceeding the standard include: Obtain various reasons for exceeding the standard in the corresponding gear production in real time, obtain the historical detection data corresponding to each reason for exceeding the standard, summarize and count the historical detection data, and obtain several matching coordinates corresponding to each reason for exceeding the standard; The obtained matching coordinates are input into the coordinate system, and the matching coordinates corresponding to each exceeding reason are clustered in the coordinate system to form a matching range corresponding to each exceeding reason; thus forming a reason matching graph; Identify the comprehensive evaluation value corresponding to each statistical department, and form the cause analysis coordinates of each comprehensive evaluation value according to a preset order; input the obtained cause analysis coordinates into the cause matching diagram to obtain the cause of exceeding the standard corresponding to the cause analysis coordinates.

2. A component dimensional quality control system according to claim 1, characterized in that: Recommended techniques are determined by: Input the obtained detection environment into the technology library for matching, obtain various candidate technologies that meet the detection environment requirements, and mark them as candidate technologies; Identify the detection performance value and cost corresponding to the candidate technology, and mark the detection performance value and the cost as HZ and CBM respectively; According to the recommended formula TF=b3×HZ-b4×CBM 1.38 Calculate the corresponding recommended value TF, b3 and b4 are both proportional coefficients, and the value range is 0 <b3<1,0<b4<1; The candidate technology with the highest recommendation value is marked as the recommended technology.

3. A component dimensional quality control system according to claim 2, characterized in that: Methods for obtaining detection performance values ​​include: Identify various backup technologies in the technology library, and obtain the detection accuracy and detection correctness corresponding to each of the backup technologies; The backup techniques are compared with each other, and the corresponding detection accuracy and detection correctness are marked as JD1, JD2, ZQ1 and ZQ2 respectively; According to the positioning formula DW=[b1×(1-|JD1-JD2|)+b2×|ZQ1-ZQ2|]×100, the corresponding positioning difference is calculated. b1 and b2 are both proportional coefficients with a value range of 0. <b1<1,0<b2<1; Identify the positioning differences between the backup technologies, sort the backup technologies in descending order of positioning values, and set the detection performance values ​​of the first and last ranked backup technologies to 100 and 70 respectively; Identify the positioning difference between the first and last backup technologies, marked as the standard deviation value BZ; The backup technology without detection performance value is marked as a technology to be converted, and the technology to be converted is marked as i, i=1, 2, ..., n, and n is the number of technologies to be converted; Identify the positioning difference between each technology to be converted and the last backup technology in the sorting, marked as MKi; The detection performance value HZ of each technology to be converted is calculated according to the detection performance formula HZ=70+(BZ÷30)×MKi.

4. A method for controlling the quality of component dimensions, characterized in that: A component dimensional quality control system according to any one of claims 1 to 3, the method comprising: Establish a technology library, identify the test environment input by the user, and determine the corresponding recommended technology based on the obtained test environment and technical description data; Recommending the recommended technology to the user, and allowing the user to determine the applied detection technology; performing detection according to the applied detection technology; Determine the corresponding detection result according to the detection data of each gear, and set the detection curve graph corresponding to each statistical part according to the obtained detection result; Determine whether gear production quality control is required based on each test curve graph; When it is determined that gear production quality control is necessary, the reasons for exceeding the standards are determined; an early warning is issued to the corresponding management personnel, and the reasons for exceeding the standards obtained are sent to the corresponding management personnel; the management personnel conduct verification and gear production adjustments based on the reasons for exceeding the standards obtained.

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