CN117094604A - Surface quality management method and system for motor stator and rotor stamping die - Google Patents
Surface quality management method and system for motor stator and rotor stamping die Download PDFInfo
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Abstract
The invention provides a method and a system for managing the surface quality of a motor stator and rotor stamping die, and relates to the technical field of quality management, wherein the method comprises the following steps: building an initial database of a stamping die; establishing a die file of a stamping die; carrying out die cleaning on the stamping die through an updating instruction, and acquiring updated data; extracting the central gray level of the segmentation area block; performing three-value comparison; positioning an abnormal region, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region; carry out stamping die's surface quality management, it is not good to have in the prior art to have abnormal identification degree of accuracy and efficiency to stamping die, and then leads to the technical problem that quality detection management effect is not good to single stamping die, realizes carrying out independent quality detection management to stamping die to the land, promotes the quality management effect to stamping die, and then guarantees the technical effect of stamping motor stator and rotor stamping die punching quality.
Description
Technical Field
The invention relates to the technical field of quality management, in particular to a method and a system for managing the surface quality of a motor stator and rotor stamping die.
Background
The stationary part of the motor is called the stator, on which the stationary main pole of the pair of direct current excitation is mounted, and the rotating part is the rotor, on which the armature winding is mounted, the stator and the rotor being produced by punching with dedicated punching dies, the quality of the punching dies having an important influence on the production quality of the stator and the rotor of the motor. In the use process of the stamping die, the surface is worn, and metal scraps, oxides and the like are generated at the same time, so that the stamping die needs to be maintained in time, the existing quality management method of the stamping die is used for integrally managing a batch of stamping dies, and the quality detection management precision of a single stamping die is poor due to the fact that the damage degree of different stamping dies is different and the abnormal recognition accuracy and efficiency of the stamping dies are poor.
In summary, in the prior art, since a lot of stamping dies are generally managed, and the accuracy and efficiency of abnormal identification of the stamping dies are poor, the technical problem of poor quality detection and management effects of a single stamping die is caused.
Disclosure of Invention
The invention provides a method and a system for managing the surface quality of a motor stator and rotor stamping die, which are used for solving the technical problems that in the prior art, as a lot of stamping dies are integrally managed, the abnormal recognition accuracy and efficiency of the stamping dies are poor, and the quality detection management effect of a single stamping die is poor.
According to a first aspect of the present invention, there is provided a surface quality management method for a motor stator and rotor stamping die, including: constructing an initial database of the stamping die, wherein the initial database is extracted and constructed according to factory quality inspection data of the stamping die and comprises traversed roughness data and flatness data; establishing a die file of the stamping die, wherein the die file is established by taking a unique ID of the stamping die as an authentication identifier, taking the initial database as basic data and taking stamping control data as update data; when the accumulated value of any stamping control data meets a preset threshold value, triggering an updating instruction, cleaning the stamping die through the updating instruction, and collecting and obtaining cleaned updating data; establishing a uniform gray space, performing gray conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray of the divided area blocks; performing matching update of the center gray according to the uniform gray space, constructing a center standard value, and performing three-value comparison of corresponding divided area blocks through the center standard value; positioning an abnormal region according to the three-value comparison result, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and flatness data acquisition; and enriching the die file according to the data acquisition result and the three-value comparison result so as to manage the surface quality of the stamping die.
According to a second aspect of the present invention, there is provided a surface quality management system for a motor stator and rotor stamping die, comprising: the initial database construction module is used for constructing an initial database of the stamping die, the initial database is constructed according to factory quality inspection data of the stamping die, and the initial database comprises traversed roughness data and flatness data; the die file establishing module is used for establishing a die file of the stamping die, wherein the die file is established by taking a unique ID of the stamping die as an authentication identifier, taking the initial database as basic data and taking stamping control data as update data; the data updating module is used for triggering an updating instruction when the accumulated value of any stamping control data meets a preset threshold value, cleaning the stamping die through the updating instruction and acquiring cleaned updating data; the gray level conversion module is used for constructing a uniform gray level space, carrying out gray level conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray level of the divided area blocks; the gray scale comparison module is used for performing matching update of the center gray scale according to the uniform gray scale space, constructing a center standard value and performing three-value comparison of the corresponding divided area blocks through the center standard value; the abnormal data sampling module is used for positioning an abnormal region according to the three-value comparison result, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and plane data acquisition; the die file enriching module is used for enriching the die files according to the data acquisition result and the three-value comparison result so as to manage the surface quality of the stamping die.
According to one or more technical solutions adopted by the present invention, the following beneficial effects are achieved:
1. setting up an initial database of the stamping die, wherein the initial database comprises traversed roughness data and flatness data, setting up a die file of the stamping die, triggering an update instruction when the accumulated value of any stamping control data meets a preset threshold value, performing die cleaning on the stamping die through the update instruction, acquiring cleaned update data, constructing a uniform gray scale space, performing gray scale conversion on the update data, dividing a preset area block on the update data, extracting the center gray scale of the divided area block, performing matching update of the center gray scale according to the uniform gray scale space, constructing a center standard value, performing three-value comparison of the corresponding divided area block through the center standard value, positioning an abnormal area according to the three-value comparison result, performing traversing data acquisition of the abnormal area, performing area sampling data acquisition of a conventional area, enriching the die file according to the data acquisition result and the three-value comparison result, performing surface quality management of the stamping die, performing independent quality detection management on the stamping die in a targeted manner, improving the quality management effect on the stamping die, and further guaranteeing the stamping quality of the stamping motor stator and rotor.
2. The method comprises the steps of carrying out factory-leaving CCD sensor data acquisition on a stamping die, constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set, traversing the gray image set, extracting gray data with position marks, carrying out density cluster analysis according to the gray data and the position marks, carrying out data elimination of cluster and independent data according to a density cluster analysis result, and determining uniform gray space according to a data elimination result, so that the technical effects of providing support for surface quality management of the stamping die and improving recognition efficiency and recognition accuracy of abnormal areas of the stamping die are achieved.
3. The method comprises the steps of carrying out use intensity evaluation of a stamping die through stamping control data, generating an intensity association value, carrying out die surface damage evaluation of the stamping die through a data acquisition result and a three-value comparison result, generating a result association value, carrying out surface quality evaluation of the stamping die according to the intensity association value and the result association value, and adding a surface quality evaluation result to a die file, so that a user can conveniently take the die file through a unique ID of the stamping die, and the technical effects of obtaining the surface quality evaluation result and timely maintaining and maintaining the stamping die are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which are included to provide a further understanding of the invention, illustrate and explain the present invention, and together with the description serve to explain the principle of the invention, if not to limit the invention, and to enable others skilled in the art to make and use the invention without undue effort.
Fig. 1 is a schematic flow chart of a method for managing surface quality of a motor stator and rotor stamping die according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a surface quality management system for a motor stator and rotor stamping die according to an embodiment of the invention.
Reference numerals illustrate: the system comprises an initial database building module 11, a mould file building module 12, a data updating module 13, a gray level conversion module 14, a gray level comparison module 15, an abnormal data sampling module 16 and a mould file enriching module 17.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the invention. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present invention are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of a method for managing surface quality of a stamping die for a stator and a rotor of a motor according to an embodiment of the present invention, where the method includes:
constructing an initial database of the stamping die, wherein the initial database is extracted and constructed according to factory quality inspection data of the stamping die and comprises traversed roughness data and flatness data;
the fixed part of the motor is called a stator, the fixed part is provided with a pair of direct-current excited stationary main magnetic poles, the rotating part is provided with a rotor, the armature winding is arranged on the fixed part, and the stator and the rotor are required to be produced by stamping through a special stamping die, so that the quality of the stamping die has an important influence on the production quality of the stator and the rotor of the motor.
The method comprises the steps of constructing an initial database of the stamping die, wherein the initial database is constructed according to factory quality inspection data of the stamping die, the initial database comprises traversed roughness data and flatness data, in short, after the stamping die is produced, a production factory of the stamping die can perform quality inspection once, the initial database comprises data of shape, size, surface roughness, flatness and the like of the stamping die, the initial database is taken as factory quality inspection data, and after the quality inspection is passed, the stamping die is factory, so that the roughness data and the flatness data of the stamping die can be directly extracted from the factory quality inspection data according to the production factory of the stamping die to form the initial database. Flatness refers to the difference in distance between the stamping die surface in a localized area and a reference plane; the surface roughness can be understood as fine pitch and unevenness of minute peaks and valleys in the surface of the press mold.
Establishing a die file of the stamping die, wherein the die file is established by taking a unique ID of the stamping die as an authentication identifier, taking the initial database as basic data and taking stamping control data as update data;
the method comprises the steps of establishing a die file of the stamping die, wherein the die file takes a unique ID of the stamping die as an authentication identifier, simply speaking, encoding the stamping die by a string of unique numbers, letters and the like, generating the unique ID of the stamping die as the authentication identifier, having uniqueness just like an identity card number of a person, further establishing an association relationship between the authentication identifier and the die file, identifying the stamping die and calling the corresponding die file through the unique ID code, and being convenient for carrying out targeted independent management on the stamping die and improving the management effect on the stamping die. The initial database is used as basic data, the die file is built by taking punching control data as update data, the punching control data is processing control data when a punching die is used for producing stator and rotor of a motor, the punching control data comprises punching pressure, generated metal scraps, grease, oxide and the like, the punching control data is updated in real time, and each time the punching die is used, one punching control data is correspondingly recorded, so that the die file is formed according to the initial database and the punching control data.
When the accumulated value of any stamping control data meets a preset threshold value, triggering an updating instruction, cleaning the stamping die through the updating instruction, and collecting and obtaining cleaned updating data;
when the accumulated value of any stamping control data meets a preset threshold value, an updating instruction is triggered, the stamping die is subjected to die cleaning through the updating instruction, in a simple way, the stamping die is used for applying pressure to a metal material to process the metal material into a motor stator and a motor rotor, grease, metal scraps, oxides and the like can be generated on the surface of the stamping die in the processing process, the stamping pressure can possibly wear the stamping die, the stamping effect of the stamping die is reduced, and the quality of the motor stator and the motor rotor produced by stamping is possibly disqualified. Based on this, the destructive power of the different stamping control data to the stamping die is obtained through the prior art analysis, and for example, the stamping test of the motor stator and rotor can be performed on the die sample by obtaining the die sample of the same type as the stamping die, the amounts of grease, metal chips, oxide and the like generated correspondingly to the different stamping control data and the degree of wear caused to the stamping die are obtained according to the test result, and the accumulated stamping pressure corresponding to the amount of grease, metal chips, oxide and the like affecting the stamping quality of the stamping die and the degree of wear is determined as a preset threshold value in combination with practical experience. Further, the stamping control data is subjected to accumulated analysis, namely, the stamping control data updated in real time is accumulated and added to obtain the accumulated value, when the accumulated value reaches the preset threshold value, the fact that the stamping die at the moment needs to be cleaned and maintained is indicated, an updating instruction is triggered, the stamping die is cleaned through the updating instruction, the die cleaning method comprises multiple cleaning modes such as ultrasonic cleaning, high-pressure impact and manual cleaning, the stamping die can be cleaned according to actual conditions, and the method is not limited. After the cleaning is finished, acquiring updated data after the cleaning by a CCD sensor, wherein the updated data is the image data of the stamping die after the cleaning is finished.
Establishing a uniform gray space, performing gray conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray of the divided area blocks;
in a preferred embodiment, further comprising:
carrying out factory-leaving CCD sensor data acquisition on the stamping die, and constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set; traversing the gray image set, and extracting gray data with position marks; performing density cluster analysis according to the gray data and the position mark, and performing data elimination of cluster and independent data according to a density cluster analysis result; and determining the uniform gray scale space according to the data elimination result.
In a preferred embodiment, further comprising:
setting a clustering radius and a core point authentication constraint, performing point position traversal on the gray data according to the clustering radius, and determining a core point through the authentication constraint; constructing a cluster, wherein the cluster takes the core point as a cluster center, takes the gray value of the pixels of the core point as a standard value, and screens the density distribution of the gray value to construct the cluster; and eliminating the non-clustered data points and the data clusters which cannot meet the preset cluster threshold value to obtain the data elimination result.
In a preferred embodiment, further comprising:
carrying out data centralized analysis according to the cluster, and determining a real center; obtaining the distance between each core point in the cluster and the real center, and taking the distance as a distance elimination constraint; obtaining the clustering capacity of the cluster, and taking the clustering capacity as a quantity elimination constraint; and carrying out comprehensive elimination value evaluation through the distance elimination constraint and the number elimination constraint, and eliminating the corresponding data cluster if the comprehensive elimination value cannot meet the preset cluster threshold.
Establishing a uniform gray space, carrying out gray conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray of the divided area blocks, wherein the process of establishing the uniform gray space is as follows:
and carrying out factory-leaving CCD sensor data acquisition on the stamping die, and constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set, in short, when the stamping die is not yet put into use just after factory leaving, carrying out image acquisition on the stamping die which is not put into use through the CCD sensor to obtain the acquisition result, and then carrying out gray processing on an image in the acquisition result to obtain the gray image set of the stamping die as the initial image set. The graying treatment is a common technical means for those skilled in the art, and therefore is not developed here. And traversing the gray image set, extracting gray data with position marks, namely simply extracting gray values of pixel points of each gray image in the gray image set, and marking according to the positions of the gray values on the stamping die to obtain the gray data with the position marks. And performing density cluster analysis according to the gray data and the position mark, wherein the density cluster analysis divides pixels with high enough density into clusters to serve as a density cluster analysis result.
Further, the clustering clusters and the data of the independent data are eliminated through the density clustering analysis result, wherein the clustering clusters refer to the pixel points which are gathered together, the independent data are the pixel points which are not gathered with other pixel points and are used as a clustering result independently, and the gray data of the abnormal pixel points in the clustering clusters and the independent data are required to be eliminated, so that the uniform gray space is obtained, and the specific process is as follows:
the cluster radius and the core point authentication constraint are set, the cluster radius is set by the skilled person, the cluster radius determines the meaning of 'approaching' between the pixel points, and the skilled person can set smaller cluster radius firstly and then gradually increase the cluster radius to realize cluster analysis when the method is applied specifically. The core point authentication constraint is mainly used for judging whether points in the sparse area are marked as abnormal values or form clusters of the points, and simply speaking, the number of data points at least needed by the core points is at least. According to the clustering radius, carrying out point position traversal on the gray data, determining a core point through the authentication constraint, in a simple way, randomly selecting a pixel point in the gray data, taking the pixel point as a clustering center, drawing a circle in the gray data by using the clustering radius as a neighborhood, acquiring all gray data in the neighborhood, judging whether the number of the pixel points in the neighborhood exceeds the core point authentication constraint, if so, taking the central pixel point in the neighborhood as the core point, creating a clustering cluster, taking the points in the clusters, and the like, taking other pixel points in the clustering cluster as the center point, drawing a circular area according to the clustering radius, creating a new clustering cluster, and if the number of the pixel points in the neighborhood does not exceed the number of the core point authentication constraint, taking the pixel points in the neighborhood and the corresponding gray values as independent data, namely, taking the data as a single clustering cluster. And the clustering clusters are obtained by carrying out clustering analysis on all data in gray data, wherein the clustering clusters take the core points as clustering centers, the gray values of pixels of the core points as standard values, the density distribution screening of the gray values is carried out on the built clustering clusters, namely, the gray values of the pixels in each clustering cluster are compared with the gray values of the core points, the gray difference value of each pixel and the gray value of the pixels of the core points is obtained, then, the non-clustered data points and the data clusters which cannot meet the preset clustering threshold value are eliminated, namely, independent data, namely, single points are eliminated, and meanwhile, all the pixels with the number of the pixels in the neighborhood not exceeding the number of the authentication constraints of the core points are eliminated, and the rest clusters after elimination are taken as the data elimination results.
The process of data elimination is as follows: according to the cluster, data centralized analysis is carried out, a real center is determined, the real center is an average value of gray values of core point pixels of the cluster, namely, a plurality of clusters can be obtained through cluster analysis, each cluster is provided with a core point, gray values of a plurality of core points of the plurality of clusters can be compared and analyzed, center points with larger gray value differences with other core points are firstly removed, and the gray average value of the center with smaller gray value differences is calculated to be used as the real center. And obtaining the difference distance between the pixel point of each core point in the cluster and the pixel point of the real center as a distance elimination constraint. Obtaining the clustering capacity of the cluster, wherein the clustering capacity is the number of pixel points in the cluster, and the clustering capacity is taken as a number elimination constraint, namely judging whether the clustering capacity exceeds the number of core point authentication constraints, and if the clustering capacity exceeds the number, not performing elimination; and carrying out comprehensive elimination value evaluation through the distance elimination constraint and the number elimination constraint, in a simple way, the larger the difference distance between the pixel points of each core point in the cluster and the pixel points of the real center, the larger the difference distance, the larger the clustering capacity does not exceed the number of the core point authentication constraint, and the like, so that a person skilled in the art can self-prescribe a setting rule of the comprehensive elimination value, and simultaneously set a preset cluster threshold by combining historical experience, and if the comprehensive elimination value cannot meet the preset cluster threshold, the corresponding data cluster is eliminated.
The rest clusters are used as a gray level uniform space, the gray level uniform space is formed by combining a plurality of clusters, each cluster is used as a preset area block, the cleaned update data, namely the gray level image of the cleaned stamping die is segmented according to the preset area block, the segmentation result is a plurality of segmentation blocks, the gray level value of the center of each segmentation block is the center gray level, and therefore support is provided for subsequent abnormal area analysis.
Performing matching update of the center gray according to the uniform gray space, constructing a center standard value, and performing three-value comparison of corresponding divided area blocks through the center standard value;
in short, the center gray scale is updated according to the uniform gray scale space, and a center standard value is constructed, in short, the center gray scale of the divided block may be an abnormal gray scale value, that is, the center of the divided block has an abnormality, so that the center gray scale needs to be updated according to the uniform gray scale space, the center gray scale of the divided block and the center point gray scale value of the uniform gray scale space are compared, if the difference is small, the doctor-seeking center gray scale is taken as the center standard value, and if the difference is large, the center point gray scale value in the uniform gray scale space is taken as the corresponding center standard value, thereby realizing the matching update of the center gray scale. Further, the three-value comparison of the corresponding divided area blocks is performed through the center standard value, and it should be noted that the center standard value should be a gray value range, and a tiny range can be increased and decreased based on the center gray, for example, the center gray is 20, the center standard value can be set to 18-22, specifically, can be set by a person skilled in the art, and is not limited thereto, and each divided area corresponds to a center standard value. Then comparing the gray data of each pixel point in each block with a central standard value, judging whether the gray data of each pixel point is in the central standard value range, namely, is larger than the central standard value and smaller than the central standard value or is equal to the central standard value, wherein the process is a three-value comparison process, if the gray data of the pixel point is in the central standard value range, namely, is equal to the central standard value, the corresponding gray value is taken as a three-value comparison result, and the three-value comparison result is the gray value distribution range of the pixel point in the block and is a gray value interval; if the gray data of the pixel point is larger than the central standard value, considering the gray of the block to be abnormal, determining the maximum boundary value of the gray value interval according to the specific gray value by using the maximum value of the central standard value as the minimum boundary value of the gray value interval, and obtaining the gray value interval as a three-value comparison result; if the gray data of the pixel point is smaller than the center standard value, the gray of the block is considered to be abnormal, the minimum value of the center standard value is used as the maximum boundary value of the gray value interval, the minimum boundary value of the gray value interval is determined according to the specific gray value, and the gray value interval is obtained as a three-value comparison result.
Positioning an abnormal region according to the three-value comparison result, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and flatness data acquisition;
according to the three-value comparison result, the abnormal region is positioned, in a simple way, if the three-value comparison result is within the central standard value range, the pixel region corresponding to the three-value comparison result is positioned as a conventional region, and if the three-value comparison result is not within the central standard value range, namely, is larger than or smaller than the central standard value, the pixel region corresponding to the three-value comparison result is used as the abnormal region. The traversing data acquisition of the abnormal region is executed, and the region sampling data acquisition of the normal region is executed, namely, the roughness data and the flatness data of the abnormal region and the normal region of the stamping die are respectively acquired, specifically, the roughness and the flatness of the abnormal region and the normal region can be directly acquired through the existing sensor for detecting the roughness and the sensor for detecting the flatness, so that the flatness data and the roughness data of the abnormal region and the flatness data of the normal region are obtained.
And enriching the die file according to the data acquisition result and the three-value comparison result so as to manage the surface quality of the stamping die.
In a preferred embodiment, further comprising:
carrying out the use strength evaluation of the stamping die through the stamping control data to generate a strength association value; performing die surface damage evaluation of the stamping die through the data acquisition result and the three-value comparison result to generate a result association value; carrying out surface quality evaluation of the stamping die according to the strength association value and the result association value; and adding the surface quality evaluation result to the mold file.
The data acquisition result comprises flatness data and roughness data of an abnormal region, flatness data and roughness data of a conventional region, and the die files are enriched according to the data acquisition result and the three-value comparison result so as to carry out surface quality management of the stamping die, wherein the specific process is as follows:
the stamping control data is used for evaluating the use intensity of the stamping die, wherein the use intensity refers to the degree of the use intensity born by the stamping die in a certain time, the use intensity can be expressed in various modes such as time, times and pressure, and the like, and is an important index for measuring the service life and quality of the stamping die. And further evaluating the surface damage of the stamping die through the data acquisition result and the three-value comparison result to generate a result association value, wherein the initial database comprises roughness data and flatness data in delivery quality inspection data of the stamping die, and the initial database is stored in a die file, and the roughness data and flatness data in the delivery quality inspection data are compared with the roughness data and the flatness data acquired in real time to obtain a roughness difference and a flatness difference, wherein the roughness difference, the flatness difference and the three-value comparison result represent the surface damage of the stamping die after the stamping die is put into use, and the roughness difference, the flatness difference and the three-value comparison result can be averaged after normalization processing, so that the average value calculation result is used as the result association value. And finally, carrying out surface quality evaluation on the stamping die according to the strength association value and the result association value, specifically, adding, averaging and the like on the strength association value and the result association value, taking a calculation result as a surface quality evaluation result, adding the surface quality evaluation result to the die file, and facilitating a user to take the die file through the unique ID of the stamping die, thereby obtaining the surface quality evaluation result and timely maintaining and maintaining the stamping die.
In a preferred embodiment, further comprising:
locating an abnormal section, wherein the abnormal section is a range section of surface abnormality determined according to the data acquisition result; the associated attention is distributed through the abnormal value corresponding to the abnormal interval; and updating the cycle data of the stamping die based on the associated attention.
And positioning an abnormal section, wherein the abnormal section is a range section of surface abnormality determined according to the data acquisition result, in short, if small changes exist in the surface roughness and the flatness of the stamping die, the stamping quality of the motor stator and the motor rotor by the stamping die is not affected, the allowable roughness difference range and the allowable flatness difference range are taken as normal sections, roughness data and flatness data in factory quality inspection data are acquired and compared with roughness data and flatness data in the data acquisition result, the roughness difference and the flatness difference are obtained, and the difference ranges of the roughness difference, the flatness difference and the normal sections are respectively obtained as abnormal sections. Through the abnormal value distribution associated attention corresponding to the abnormal section, the abnormal value corresponding to the abnormal section is the maximum difference value between the abnormal section and the normal section, the value range of the associated attention can be 0 to 1, the larger the maximum difference value is, the higher the distributed associated attention is, the periodic data of the stamping die is updated based on the associated attention, the higher the associated attention is, the shorter the corresponding data updating period is, that is, the higher the associated attention is, the greater the abnormal value is, the higher the possible damage degree is, the frequent quality detection of the stamping die is needed, the surface quality evaluation result in the die file is needed to be updated, the stamping die is convenient to maintain in time, and the stamping quality of the stamping die to the stator and the rotor of the motor is ensured.
In a preferred embodiment, further comprising:
evaluating the surface state of the stamping die according to the die file; if the surface state evaluation result cannot meet the preset state threshold value, generating an early warning instruction; and carrying out abnormal management on the stamping die through the early warning instruction.
The surface state evaluation of the stamping die is performed according to the die file, in short, the surface state evaluation can be performed by retrieving the surface quality evaluation result in the die file, specifically, the surface states of different grades can be set according to the surface quality evaluation result, meanwhile, the actual situation is combined, it is determined that the surface damage degree of the stamping die is higher, the stamping die cannot be continuously used, the surface quality evaluation result and the corresponding surface state grade when the stamping quality is unqualified possibly result in the step of taking the grade larger than the surface state grade as a preset state threshold. And further, the corresponding surface state grade is obtained through comparing the surface quality evaluation results in the die file to be used as the surface state evaluation results, if the surface state grade in the surface state evaluation results is not met, namely, is smaller than or equal to a preset state threshold value, an early warning instruction is generated, the abnormal management of the stamping die is carried out through the early warning instruction, the early warning instruction can be sent to the electronic equipment of a worker, or the early warning instruction is displayed through an electronic screen, a signal lamp and the like, the worker is reminded to stop the stamping work of the stamping die in time, the stamping die is overhauled and maintained, and the quality of the stator and the rotor of the motor produced by stamping is prevented from being unqualified.
Based on the analysis, the one or more technical schemes provided by the invention can achieve the following beneficial effects:
1. setting up an initial database of the stamping die, wherein the initial database comprises traversed roughness data and flatness data, setting up a die file of the stamping die, triggering an update instruction when the accumulated value of any stamping control data meets a preset threshold value, performing die cleaning on the stamping die through the update instruction, acquiring cleaned update data, constructing a uniform gray scale space, performing gray scale conversion on the update data, dividing a preset area block on the update data, extracting the center gray scale of the divided area block, performing matching update of the center gray scale according to the uniform gray scale space, constructing a center standard value, performing three-value comparison of the corresponding divided area block through the center standard value, positioning an abnormal area according to the three-value comparison result, performing traversing data acquisition of the abnormal area, performing area sampling data acquisition of a conventional area, enriching the die file according to the data acquisition result and the three-value comparison result, performing surface quality management of the stamping die, performing independent quality detection management on the stamping die in a targeted manner, improving the quality management effect on the stamping die, and further guaranteeing the stamping quality of the stamping motor stator and rotor.
2. The method comprises the steps of carrying out factory-leaving CCD sensor data acquisition on a stamping die, constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set, traversing the gray image set, extracting gray data with position marks, carrying out density cluster analysis according to the gray data and the position marks, carrying out data elimination of cluster and independent data according to a density cluster analysis result, and determining uniform gray space according to a data elimination result, so that the technical effects of providing support for surface quality management of the stamping die and improving recognition efficiency and recognition accuracy of abnormal areas of the stamping die are achieved.
3. The method comprises the steps of carrying out use intensity evaluation of a stamping die through stamping control data, generating an intensity association value, carrying out die surface damage evaluation of the stamping die through a data acquisition result and a three-value comparison result, generating a result association value, carrying out surface quality evaluation of the stamping die according to the intensity association value and the result association value, and adding a surface quality evaluation result to a die file, so that a user can conveniently take the die file through a unique ID of the stamping die, and the technical effects of obtaining the surface quality evaluation result and timely maintaining and maintaining the stamping die are achieved.
Example two
Based on the same inventive concept as the surface quality management method of the motor stator and rotor stamping die in the foregoing embodiment, as shown in fig. 2, the invention further provides a surface quality management system of the motor stator and rotor stamping die, which includes:
the initial database construction module 11 is used for constructing an initial database of the stamping die, the initial database is extracted and constructed according to factory quality inspection data of the stamping die, and the initial database comprises traversed roughness data and plane data;
a die file creation module 12, wherein the die file creation module 12 is configured to create a die file of the stamping die, the die file is created by using a unique ID of the stamping die as an authentication identifier, the initial database as basic data, and stamping control data as update data;
the data updating module 13 is used for triggering an updating instruction when the accumulated value of any stamping control data meets a preset threshold value, performing die cleaning on the stamping die through the updating instruction, and acquiring cleaned updating data;
The gray level conversion module 14 is used for constructing a uniform gray level space, performing gray level conversion on the update data, dividing a preset area block on the update data, and extracting the center gray level of the divided area block;
the gray scale comparison module 15 is used for performing matching update of the center gray scale according to the uniform gray scale space, constructing a center standard value, and performing three-value comparison of the corresponding divided area blocks through the center standard value;
the abnormal data sampling module 16 is used for positioning an abnormal region according to the three-value comparison result, performing traversing data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and plane data acquisition;
the die file enriching module 17, the die file enriching module 17 is used for enriching the die file according to the data acquisition result and the three-value comparison result so as to perform the surface quality management of the stamping die.
Further, the gray conversion module 14 is further configured to:
carrying out factory-leaving CCD sensor data acquisition on the stamping die, and constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set;
Traversing the gray image set, and extracting gray data with position marks;
performing density cluster analysis according to the gray data and the position mark, and performing data elimination of cluster and independent data according to a density cluster analysis result;
and determining the uniform gray scale space according to the data elimination result.
Further, the gray conversion module 14 is further configured to:
setting a clustering radius and a core point authentication constraint, performing point position traversal on the gray data according to the clustering radius, and determining a core point through the authentication constraint;
constructing a cluster, wherein the cluster takes the core point as a cluster center, takes the gray value of the pixels of the core point as a standard value, and screens the density distribution of the gray value to construct the cluster;
and eliminating the non-clustered data points and the data clusters which cannot meet the preset cluster threshold value to obtain the data elimination result.
Further, the gray conversion module 14 is further configured to:
carrying out data centralized analysis according to the cluster, and determining a real center;
obtaining the distance between each core point in the cluster and the real center, and taking the distance as a distance elimination constraint;
Obtaining the clustering capacity of the cluster, and taking the clustering capacity as a quantity elimination constraint;
and carrying out comprehensive elimination value evaluation through the distance elimination constraint and the number elimination constraint, and eliminating the corresponding data cluster if the comprehensive elimination value cannot meet the preset cluster threshold.
Further, the mold file enriching module 17 is further configured to:
carrying out the use strength evaluation of the stamping die through the stamping control data to generate a strength association value;
performing die surface damage evaluation of the stamping die through the data acquisition result and the three-value comparison result to generate a result association value;
carrying out surface quality evaluation of the stamping die according to the strength association value and the result association value;
and adding the surface quality evaluation result to the mold file.
Further, the system further comprises a data updating module for:
locating an abnormal section, wherein the abnormal section is a range section of surface abnormality determined according to the data acquisition result;
the associated attention is distributed through the abnormal value corresponding to the abnormal interval;
and updating the cycle data of the stamping die based on the associated attention.
Further, the system further comprises an anomaly management module for:
evaluating the surface state of the stamping die according to the die file;
if the surface state evaluation result cannot meet the preset state threshold value, generating an early warning instruction;
and carrying out abnormal management on the stamping die through the early warning instruction.
The specific example of the surface quality management method for the motor stator and rotor stamping die in the first embodiment is also applicable to the surface quality management system for the motor stator and rotor stamping die in the present embodiment, and by the foregoing detailed description of the surface quality management method for the motor stator and rotor stamping die, those skilled in the art can clearly know the surface quality management system for the motor stator and rotor stamping die in the present embodiment, so that the details thereof will not be described herein for brevity.
It should be understood that the various forms of flow shown above, reordered, added or deleted steps may be used, as long as the desired results of the disclosed embodiments are achieved, and are not limiting herein.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. The surface quality management method of the motor stator and rotor stamping die is characterized by comprising the following steps of:
constructing an initial database of the stamping die, wherein the initial database is extracted and constructed according to factory quality inspection data of the stamping die and comprises traversed roughness data and flatness data;
establishing a die file of the stamping die, wherein the die file is established by taking a unique ID of the stamping die as an authentication identifier, taking the initial database as basic data and taking stamping control data as update data;
when the accumulated value of any stamping control data meets a preset threshold value, triggering an updating instruction, cleaning the stamping die through the updating instruction, and collecting and obtaining cleaned updating data;
establishing a uniform gray space, performing gray conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray of the divided area blocks;
performing matching update of the center gray according to the uniform gray space, constructing a center standard value, and performing three-value comparison of corresponding divided area blocks through the center standard value;
Positioning an abnormal region according to the three-value comparison result, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and flatness data acquisition;
and enriching the die file according to the data acquisition result and the three-value comparison result so as to manage the surface quality of the stamping die.
2. The method of claim 1, wherein the method further comprises:
carrying out factory-leaving CCD sensor data acquisition on the stamping die, and constructing an initial image set according to an acquisition result, wherein the initial image set is a gray image set;
traversing the gray image set, and extracting gray data with position marks;
performing density cluster analysis according to the gray data and the position mark, and performing data elimination of cluster and independent data according to a density cluster analysis result;
and determining the uniform gray scale space according to the data elimination result.
3. The method of claim 2, wherein the method further comprises:
setting a clustering radius and a core point authentication constraint, performing point position traversal on the gray data according to the clustering radius, and determining a core point through the authentication constraint;
Constructing a cluster, wherein the cluster takes the core point as a cluster center, takes the gray value of the pixels of the core point as a standard value, and screens the density distribution of the gray value to construct the cluster;
and eliminating the non-clustered data points and the data clusters which cannot meet the preset cluster threshold value to obtain the data elimination result.
4. A method as claimed in claim 3, wherein the method further comprises:
carrying out data centralized analysis according to the cluster, and determining a real center;
obtaining the distance between each core point in the cluster and the real center, and taking the distance as a distance elimination constraint;
obtaining the clustering capacity of the cluster, and taking the clustering capacity as a quantity elimination constraint;
and carrying out comprehensive elimination value evaluation through the distance elimination constraint and the number elimination constraint, and eliminating the corresponding data cluster if the comprehensive elimination value cannot meet the preset cluster threshold.
5. The method of claim 1, wherein the method further comprises:
carrying out the use strength evaluation of the stamping die through the stamping control data to generate a strength association value;
performing die surface damage evaluation of the stamping die through the data acquisition result and the three-value comparison result to generate a result association value;
Carrying out surface quality evaluation of the stamping die according to the strength association value and the result association value;
and adding the surface quality evaluation result to the mold file.
6. The method of claim 1, wherein the method further comprises:
locating an abnormal section, wherein the abnormal section is a range section of surface abnormality determined according to the data acquisition result;
the associated attention is distributed through the abnormal value corresponding to the abnormal interval;
and updating the cycle data of the stamping die based on the associated attention.
7. The method of claim 1, wherein the method further comprises:
evaluating the surface state of the stamping die according to the die file;
if the surface state evaluation result cannot meet the preset state threshold value, generating an early warning instruction;
and carrying out abnormal management on the stamping die through the early warning instruction.
8. A motor stator and rotor stamping die surface quality management system, characterized by the steps for performing any one of the motor stator and rotor stamping die surface quality management methods of claims 1 to 7, the system comprising:
The initial database construction module is used for constructing an initial database of the stamping die, the initial database is constructed according to factory quality inspection data of the stamping die, and the initial database comprises traversed roughness data and flatness data;
the die file establishing module is used for establishing a die file of the stamping die, wherein the die file is established by taking a unique ID of the stamping die as an authentication identifier, taking the initial database as basic data and taking stamping control data as update data;
the data updating module is used for triggering an updating instruction when the accumulated value of any stamping control data meets a preset threshold value, cleaning the stamping die through the updating instruction and acquiring cleaned updating data;
the gray level conversion module is used for constructing a uniform gray level space, carrying out gray level conversion on the update data, dividing the update data into preset area blocks, and extracting the center gray level of the divided area blocks;
the gray scale comparison module is used for performing matching update of the center gray scale according to the uniform gray scale space, constructing a center standard value and performing three-value comparison of the corresponding divided area blocks through the center standard value;
The abnormal data sampling module is used for positioning an abnormal region according to the three-value comparison result, performing traversal data acquisition of the abnormal region, and performing region sampling data acquisition of a conventional region, wherein the data acquisition is roughness data and plane data acquisition;
the die file enriching module is used for enriching the die files according to the data acquisition result and the three-value comparison result so as to manage the surface quality of the stamping die.
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