CN116739422A - Cosmetic mirror production quality monitoring management system based on Internet of things - Google Patents
Cosmetic mirror production quality monitoring management system based on Internet of things Download PDFInfo
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Abstract
The application belongs to the field of quality monitoring, relates to a data analysis technology, and is used for solving the problem that a quality monitoring management system for cosmetic mirror production in the prior art cannot perform optimization analysis on quality monitoring procedures according to treatment measures, and particularly relates to a cosmetic mirror production quality monitoring management system based on the Internet of things, which comprises a monitoring management platform, wherein the monitoring management platform is in communication connection with a quality monitoring module, a management analysis module and a storage module, the quality monitoring module comprises an appearance monitoring unit, a size monitoring unit and a weight monitoring unit, and the appearance monitoring unit is used for performing appearance monitoring analysis on a cosmetic mirror finished product and sending an appearance disqualification signal to the monitoring management platform when an appearance monitoring result is disqualified; the application carries out appearance monitoring analysis on the finished product of the cosmetic mirror, extracts, analyzes and calculates each appearance parameter of the cosmetic mirror through an image processing technology to obtain an appearance coefficient, and carries out early warning when the appearance of the cosmetic mirror is unqualified.
Description
Technical Field
The application belongs to the field of quality monitoring, relates to a data analysis technology, and particularly relates to a cosmetic mirror production quality monitoring management system based on the Internet of things.
Background
The main difference between the cosmetic mirror and the mirror is that the cosmetic mirror is provided with an amplifying surface with different proportions, so that a cosmetic user can see the subtle part of the illuminated part conveniently, the mirror is a smooth-surfaced article with the capability of reflecting light, and the most common mirror is a plane mirror and is commonly used as a regular reflecting article;
the quality monitoring and managing system for the cosmetic mirror production in the prior art can only monitor and analyze the quality of the cosmetic mirror, and screen out the cosmetic mirror with unqualified quality, so that the cosmetic mirror with unqualified quality is difficult to treat by adopting various treatment measures, and the quality monitoring procedure cannot be optimized and analyzed according to the treatment measures, so that the overall quality monitoring efficiency cannot be improved;
the application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a cosmetic mirror production quality monitoring and managing system based on the Internet of things, which is used for solving the problem that the cosmetic mirror production quality monitoring and managing system in the prior art cannot perform optimization analysis on quality monitoring procedures according to treatment measures.
The technical problems to be solved by the application are as follows: how to provide a cosmetic mirror production quality monitoring management system based on the internet of things, which can carry out optimization analysis on quality monitoring procedures according to treatment measures.
The aim of the application can be achieved by the following technical scheme: the cosmetic mirror production quality monitoring and managing system based on the Internet of things comprises a monitoring and managing platform, wherein the monitoring and managing platform is in communication connection with a quality monitoring module, a management analysis module and a storage module;
the quality monitoring module comprises an appearance monitoring unit, a size monitoring unit and a weight monitoring unit;
the appearance monitoring unit is used for carrying out appearance monitoring analysis on the finished cosmetic mirror product and sending an appearance disqualification signal to the monitoring management platform when the appearance monitoring result is disqualified;
the size monitoring unit is used for performing size monitoring analysis on the finished cosmetic mirror product and sending a size failure signal to the monitoring management platform when the size monitoring result is failed;
the weight monitoring unit is used for monitoring and analyzing the weight of the finished cosmetic mirror product and sending a weight unqualified signal to the monitoring and managing platform when the weight monitoring result is unqualified;
the management analysis module comprises a scrapping management unit and a reworking management unit, and the scrapping management unit is used for performing management analysis by adopting a scrapping management mode; the reworking management unit is used for carrying out management analysis by adopting a reworking management mode.
As a preferred embodiment of the present application, the specific process of performing the appearance monitoring analysis on the finished cosmetic mirror product by the appearance monitoring unit includes: marking a cosmetic mirror for quality monitoring as a monitoring object, performing image shooting on the front side and the back side of the monitoring object to obtain a monitoring image, extracting scratch data GH and spot data WZ in the monitoring image by an image processing technology, wherein the scratch data GH is a scratch quantity value of the monitoring image, the spot data WZ is a spot area value in the monitoring image, and obtaining missing plating data LD of the monitoring object: shooting an image of an electroplating area of a monitoring object, marking the shot image as an electroplating image, amplifying the electroplating image as a pixel grid image, carrying out gray level conversion, acquiring a gray level range through a storage module, marking the pixel grid with a gray level within the gray level range as an electroplating grid, marking the pixel grid with a gray level outside the gray level range as a non-electroplating grid, and marking the number of the non-electroplating grids as non-electroplating data LD; the appearance coefficient WG of the monitored object is obtained by carrying out numerical calculation on scratch data GH, stain data WZ and missing plating data LD; obtaining an appearance threshold value WGmax through a storage module, and comparing the appearance coefficient WG with the appearance threshold value WGmax: if the appearance coefficient WG is smaller than the appearance threshold WGmax, judging that the appearance monitoring result of the monitored object is qualified; if the appearance coefficient WG is larger than or equal to the appearance threshold WGmax, the appearance monitoring result of the monitored object is judged to be unqualified, and the appearance monitoring unit sends an appearance unqualified signal to the monitoring management platform.
As a preferred embodiment of the present application, the specific process of performing the dimension monitoring analysis on the finished cosmetic mirror product by the dimension monitoring unit includes: the method for acquiring the long bias data CP, the wide bias data KP and the high bias data GP of the monitoring object comprises the following steps of: acquiring a length value and a length range of a monitoring object, marking an average value of a maximum value and a minimum value of the length range as a long-scale value, and marking an absolute value of a difference value between the length value and the long-scale value as long-offset data CP; the acquisition process of the wide bias data KP comprises the following steps: acquiring a width value and a width range of a monitoring object, marking an average value of a maximum value and a minimum value of the width range as a wide scale value, and marking an absolute value of a difference value between the width value and the wide scale value as wide bias data KP; the acquisition process of the high bias data GP comprises the following steps: acquiring a height value and a height range of a monitored object, marking an average value of a maximum value and a minimum value of the height range as a high standard value, and marking an absolute value of a difference value between the height value and the high standard value as high bias data GP; obtaining a size coefficient CC of a monitoring object by carrying out numerical calculation on the long bias data CP, the wide bias data KP and the high bias data GP; the size threshold CCmax is obtained through the storage module, and the size coefficient CC is compared with the size threshold CCmax: if the size coefficient CC is smaller than the size threshold CCmax, judging that the size monitoring result of the monitored object is qualified; if the size coefficient CC is larger than or equal to the size threshold CCmax, the size monitoring result of the monitored object is judged to be unqualified, and the size monitoring unit sends a size unqualified signal to the monitoring management platform.
As a preferred embodiment of the present application, the specific process of monitoring and analyzing the weight of the finished cosmetic mirror product by the weight monitoring unit includes: acquiring a weight value and a weight range of a monitored object, and judging that the weight monitoring result of the monitored object is qualified when the weight value is within the weight range; and when the weight value is out of the weight range, judging that the weight monitoring result of the monitored object is unqualified, and sending a weight unqualified signal to the monitoring management platform by the weight monitoring unit.
As a preferred embodiment of the application, the specific process of the discard management unit adopting the discard management mode for management analysis comprises the following steps: generating a management period, acquiring the times of receiving the appearance disqualification signal, the size disqualification signal and the weight disqualification signal by a monitoring management platform in the management period, marking the times as an appearance value, a size value and a weight value respectively, sequencing the appearance value, the size value and the weight value according to the sequence from big to small to obtain a priority sequence, and executing quality monitoring according to the corresponding working procedure of the priority sequence in the next management period.
As a preferred embodiment of the present application, the specific process of the rework management unit performing management analysis using the rework management mode includes: generating a management period, acquiring the number of unqualified marks of the monitoring objects in the management period, marking the number of the monitoring objects with the number of unqualified marks being one time as primary data YC, marking the number of the monitoring objects with the number of unqualified marks being two times as secondary data EC, and marking the number of the monitoring objects with the number of unqualified marks being three times as tertiary data SC; the reworking coefficient FG of the management period is obtained by carrying out numerical calculation on the primary data YC, the secondary data EC and the tertiary data SC; the reworking threshold FGmax is obtained through the storage module, and the reworking coefficient FG is compared with the reworking threshold FGmax: if the reworking coefficient FG is smaller than the reworking threshold FGmax, judging that the reworking state in the monitoring period is qualified; if the reworking coefficient FG is greater than or equal to the reworking threshold FGmax, the reworking management unit determines that the reworking state in the monitoring period is not qualified, and sends a reworking failure signal to the monitoring management platform.
The working method of the cosmetic mirror production quality monitoring and management system based on the Internet of things comprises the following steps:
step one: and carrying out appearance monitoring analysis on the finished cosmetic mirror product: marking the cosmetic mirror subjected to quality monitoring as a monitoring object, obtaining scratch data GH, stain data WZ and plating omission data LD of the monitoring object, performing numerical calculation to obtain an appearance coefficient WG, and judging whether an appearance monitoring result of the monitoring object is qualified or not through the appearance coefficient WG;
step two: and (3) performing size monitoring analysis on the finished cosmetic mirror product: obtaining long bias data CP, wide bias data KP and high bias data GP of a monitoring object, performing numerical value calculation to obtain a size coefficient CC, and judging whether the size monitoring result of the monitoring object is qualified or not through the size coefficient CC;
step three: monitoring and analyzing the weight of the finished cosmetic mirror product: acquiring a weight value and a weight range of a monitoring object, comparing the weight value with the weight range, and judging whether a weight monitoring result of the monitoring object meets the requirement or not according to a comparison result;
step four: and managing and analyzing the quality monitoring result of the finished cosmetic mirror product by adopting a scrapping management mode or a reworking management mode.
The application has the following beneficial effects:
1. the appearance monitoring unit is used for carrying out appearance monitoring analysis on the finished product of the cosmetic mirror, extracting, analyzing and calculating all appearance parameters of the cosmetic mirror through an image processing technology to obtain appearance coefficients, feeding back the appearance qualification degree of the cosmetic mirror through the appearance coefficients, and carrying out early warning when the appearance of the cosmetic mirror is unqualified, and sorting the cosmetic mirror with unqualified appearance;
2. the size monitoring unit can be used for carrying out size monitoring analysis on the finished product of the cosmetic mirror, and the size coefficient is obtained by carrying out comprehensive calculation and analysis on the size deviation parameter of the monitored object, so that the size deviation degree of the cosmetic mirror is fed back through the size coefficient, and the overall quality of the cosmetic mirror is monitored by combining the monitoring result of the weight monitoring unit;
3. the scrapping management unit can adopt a scrapping management mode to carry out management analysis, and the monitoring management platform is used for sequencing monitoring procedures according to the times of receiving quality unqualified signals, so that the monitoring procedures are optimized according to the sequencing, the operation efficiency of the scrapping management mode is improved, the reworking management unit can adopt a reworking management mode to carry out management analysis, the reworking state in a management period is fed back and monitored, and the machining quality of a finished product is restrained through the numerical value of the reworking coefficient.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in FIG. 1, the cosmetic mirror production quality monitoring and managing system based on the Internet of things comprises a monitoring and managing platform, wherein the monitoring and managing platform is in communication connection with a quality monitoring module, a management analysis module and a storage module.
The quality monitoring module comprises an appearance monitoring unit, a size monitoring unit and a weight monitoring unit, wherein the appearance monitoring unit is used for carrying out appearance monitoring analysis on finished cosmetics. Marking a cosmetic mirror for quality monitoring as a monitoring object, performing image shooting on the front side and the back side of the monitoring object to obtain a monitoring image, extracting scratch data GH and spot data WZ in the monitoring image by an image processing technology, wherein the scratch data GH is a scratch quantity value of the monitoring image, the spot data WZ is a spot area value in the monitoring image, and obtaining missing plating data LD of the monitoring object: shooting an image of an electroplating area of a monitoring object, marking the shot image as an electroplating image, amplifying the electroplating image as a pixel grid image, carrying out gray level conversion, acquiring a gray level range through a storage module, marking the pixel grid with a gray level within the gray level range as an electroplating grid, marking the pixel grid with a gray level outside the gray level range as a non-electroplating grid, and marking the number of the non-electroplating grids as non-electroplating data LD; obtaining an appearance coefficient WG of the monitored object through a formula WG=α1×GH+α2×WZ+α3×LD, wherein the appearance coefficient is a numerical value reflecting the appearance normal degree of the monitored object, and the lower the numerical value of the appearance coefficient is, the higher the appearance normal degree of the monitored object is; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; obtaining an appearance threshold value WGmax through a storage module, and comparing the appearance coefficient WG with the appearance threshold value WGmax: if the appearance coefficient WG is smaller than the appearance threshold WGmax, judging that the appearance monitoring result of the monitored object is qualified; if the appearance coefficient WG is larger than or equal to the appearance threshold WGmax, judging that the appearance monitoring result of the monitored object is unqualified, and sending an appearance unqualified signal to a monitoring management platform by an appearance monitoring unit; and carrying out appearance monitoring analysis on the finished product of the cosmetic mirror, extracting, analyzing and calculating all appearance parameters of the cosmetic mirror through an image processing technology to obtain appearance coefficients, feeding back the appearance qualification degree of the cosmetic mirror through the appearance coefficients, and carrying out early warning when the appearance of the cosmetic mirror is disqualified, and sorting the cosmetic mirror with disqualified appearance.
The size monitoring unit is used for carrying out size monitoring analysis on the finished cosmetic mirror product: the method for acquiring the long bias data CP, the wide bias data KP and the high bias data GP of the monitoring object comprises the following steps of: acquiring a length value and a length range of a monitoring object, marking an average value of a maximum value and a minimum value of the length range as a long-scale value, and marking an absolute value of a difference value between the length value and the long-scale value as long-offset data CP; the acquisition process of the wide bias data KP comprises the following steps: acquiring a width value and a width range of a monitoring object, marking an average value of a maximum value and a minimum value of the width range as a wide scale value, and marking an absolute value of a difference value between the width value and the wide scale value as wide bias data KP; the acquisition process of the high bias data GP comprises the following steps: acquiring a height value and a height range of a monitored object, marking an average value of a maximum value and a minimum value of the height range as a high standard value, and marking an absolute value of a difference value between the height value and the high standard value as high bias data GP; obtaining a size coefficient CC of a monitored object through a formula CC=β1CPβ2KP+β3GP, wherein β1, β2 and β3 are all proportional coefficients, and β1 > β2 > β3 > 1; the size threshold CCmax is obtained through the storage module, and the size coefficient CC is compared with the size threshold CCmax: if the size coefficient CC is smaller than the size threshold CCmax, judging that the size monitoring result of the monitored object is qualified; if the size coefficient CC is larger than or equal to the size threshold CCmax, the size monitoring result of the monitored object is judged to be unqualified, and the size monitoring unit sends a size unqualified signal to the monitoring management platform.
The weight monitoring unit is used for monitoring and analyzing the weight of the finished cosmetic mirror product: acquiring a weight value and a weight range of a monitored object, and judging that the weight monitoring result of the monitored object is qualified when the weight value is within the weight range; when the weight value is out of the weight range, judging that the weight monitoring result of the monitored object is unqualified, and sending a weight unqualified signal to a monitoring management platform by the weight monitoring unit; and performing size monitoring analysis on the finished product of the cosmetic mirror, and comprehensively calculating and analyzing the size deviation parameter of the monitored object to obtain a size coefficient, so that the size deviation degree of the cosmetic mirror is fed back through the size coefficient, and the overall quality of the cosmetic mirror is monitored by combining the monitoring result of the weight monitoring unit.
The management analysis module comprises a scrapping management unit and a reworking management unit, and the scrapping management unit is used for performing management analysis by adopting a scrapping management mode: generating a management period, acquiring the times of receiving the appearance disqualification signal, the size disqualification signal and the weight disqualification signal by a monitoring management platform in the management period, marking the times as an appearance value, a size value and a weight value respectively, sequencing the appearance value, the size value and the weight value according to the sequence from big to small to obtain a priority sequence, and executing quality monitoring according to the corresponding procedure of the priority sequence in the next management period; the reworking management unit is used for carrying out management analysis by adopting a reworking management mode: generating a management period, acquiring the number of unqualified marks of the monitoring objects in the management period, marking the number of the monitoring objects with the number of unqualified marks being one time as primary data YC, marking the number of the monitoring objects with the number of unqualified marks being two times as secondary data EC, and marking the number of the monitoring objects with the number of unqualified marks being three times as tertiary data SC; obtaining a reworking coefficient FG of a management period through a formula FG=γ1×YC+γ2×EC+γ3×SC, wherein γ1, γ2 and γ3 are proportionality coefficients, and γ3 > γ2 > γ1 > 1; the reworking threshold FGmax is obtained through the storage module, and the reworking coefficient FG is compared with the reworking threshold FGmax: if the reworking coefficient FG is smaller than the reworking threshold FGmax, judging that the reworking state in the monitoring period is qualified; if the reworking coefficient FG is greater than or equal to the reworking threshold FGmax, judging that the reworking state in the monitoring period is unqualified, and sending a reworking unqualified signal to a monitoring management platform by a reworking management unit; the method comprises the steps of adopting a scrapping management mode to carry out management analysis, and carrying out monitoring procedure sequencing on the times of receiving quality unqualified signals by a monitoring management platform, so that monitoring procedures are optimized according to sequencing, the operation efficiency of the scrapping management mode is improved, the reworking management mode can be adopted by a reworking management unit to carry out management analysis, the reworking state in a management period is fed back and monitored, and the processing quality of a finished product is restrained by the numerical value of a reworking coefficient.
Example two
As shown in fig. 2, the cosmetic mirror production quality monitoring and management method based on the internet of things comprises the following steps:
step one: and carrying out appearance monitoring analysis on the finished cosmetic mirror product: marking the cosmetic mirror subjected to quality monitoring as a monitoring object, obtaining scratch data GH, stain data WZ and plating omission data LD of the monitoring object, performing numerical calculation to obtain an appearance coefficient WG, and judging whether an appearance monitoring result of the monitoring object is qualified or not through the appearance coefficient WG;
step two: and (3) performing size monitoring analysis on the finished cosmetic mirror product: obtaining long bias data CP, wide bias data KP and high bias data GP of a monitoring object, performing numerical value calculation to obtain a size coefficient CC, and judging whether the size monitoring result of the monitoring object is qualified or not through the size coefficient CC;
step three: monitoring and analyzing the weight of the finished cosmetic mirror product: acquiring a weight value and a weight range of a monitoring object, comparing the weight value with the weight range, and judging whether a weight monitoring result of the monitoring object meets the requirement or not according to a comparison result;
step four: and managing and analyzing the quality monitoring result of the finished cosmetic mirror product by adopting a scrapping management mode or a reworking management mode.
When the cosmetic mirror for quality monitoring works, the cosmetic mirror for quality monitoring is marked as a monitoring object, scratch data GH, stain data WZ and miss-plating data LD of the monitoring object are obtained, a numerical value is calculated to obtain an appearance coefficient WG, and whether the appearance monitoring result of the monitoring object is qualified or not is judged through the appearance coefficient WG; obtaining long bias data CP, wide bias data KP and high bias data GP of a monitoring object, performing numerical value calculation to obtain a size coefficient CC, and judging whether the size monitoring result of the monitoring object is qualified or not through the size coefficient CC; acquiring a weight value and a weight range of a monitoring object, comparing the weight value with the weight range, and judging whether a weight monitoring result of the monitoring object meets the requirement or not according to a comparison result; and managing and analyzing the quality monitoring result of the finished cosmetic mirror product by adopting a scrapping management mode or a reworking management mode.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula wg=α1×gh+α2×wz+α3×ld; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding appearance coefficients for each group of sample data; substituting the set appearance coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 4.35, 3.68 and 2.17;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding appearance coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the appearance coefficient is in direct proportion to the value of the missing plating data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The cosmetic mirror production quality monitoring and managing system based on the Internet of things is characterized by comprising a monitoring and managing platform, wherein the monitoring and managing platform is in communication connection with a quality monitoring module, a management analysis module and a storage module;
the quality monitoring module comprises an appearance monitoring unit, a size monitoring unit and a weight monitoring unit;
the appearance monitoring unit is used for carrying out appearance monitoring analysis on the finished cosmetic mirror product and sending an appearance disqualification signal to the monitoring management platform when the appearance monitoring result is disqualified;
the size monitoring unit is used for performing size monitoring analysis on the finished cosmetic mirror product and sending a size failure signal to the monitoring management platform when the size monitoring result is failed;
the weight monitoring unit is used for monitoring and analyzing the weight of the finished cosmetic mirror product and sending a weight unqualified signal to the monitoring and managing platform when the weight monitoring result is unqualified;
the management analysis module comprises a scrapping management unit and a reworking management unit, and the scrapping management unit is used for performing management analysis by adopting a scrapping management mode; the reworking management unit is used for carrying out management analysis by adopting a reworking management mode.
2. The cosmetic mirror production quality monitoring and management system based on the internet of things according to claim 1, wherein the specific process of performing the appearance monitoring analysis on the cosmetic mirror finished product by the appearance monitoring unit comprises the following steps: marking a cosmetic mirror for quality monitoring as a monitoring object, performing image shooting on the front side and the back side of the monitoring object to obtain a monitoring image, extracting scratch data GH and spot data WZ in the monitoring image by an image processing technology, wherein the scratch data GH is a scratch quantity value of the monitoring image, the spot data WZ is a spot area value in the monitoring image, and obtaining missing plating data LD of the monitoring object: shooting an image of an electroplating area of a monitoring object, marking the shot image as an electroplating image, amplifying the electroplating image as a pixel grid image, carrying out gray level conversion, acquiring a gray level range through a storage module, marking the pixel grid with a gray level within the gray level range as an electroplating grid, marking the pixel grid with a gray level outside the gray level range as a non-electroplating grid, and marking the number of the non-electroplating grids as non-electroplating data LD; the appearance coefficient WG of the monitored object is obtained by carrying out numerical calculation on scratch data GH, stain data WZ and missing plating data LD; obtaining an appearance threshold value WGmax through a storage module, and comparing the appearance coefficient WG with the appearance threshold value WGmax: if the appearance coefficient WG is smaller than the appearance threshold WGmax, judging that the appearance monitoring result of the monitored object is qualified; if the appearance coefficient WG is larger than or equal to the appearance threshold WGmax, the appearance monitoring result of the monitored object is judged to be unqualified, and the appearance monitoring unit sends an appearance unqualified signal to the monitoring management platform.
3. The cosmetic mirror production quality monitoring and management system based on the internet of things according to claim 2, wherein the specific process of performing the size monitoring analysis on the cosmetic mirror finished product by the size monitoring unit comprises the following steps: the method for acquiring the long bias data CP, the wide bias data KP and the high bias data GP of the monitoring object comprises the following steps of: acquiring a length value and a length range of a monitoring object, marking an average value of a maximum value and a minimum value of the length range as a long-scale value, and marking an absolute value of a difference value between the length value and the long-scale value as long-offset data CP; the acquisition process of the wide bias data KP comprises the following steps: acquiring a width value and a width range of a monitoring object, marking an average value of a maximum value and a minimum value of the width range as a wide scale value, and marking an absolute value of a difference value between the width value and the wide scale value as wide bias data KP; the acquisition process of the high bias data GP comprises the following steps: acquiring a height value and a height range of a monitored object, marking an average value of a maximum value and a minimum value of the height range as a high standard value, and marking an absolute value of a difference value between the height value and the high standard value as high bias data GP; obtaining a size coefficient CC of a monitoring object by carrying out numerical calculation on the long bias data CP, the wide bias data KP and the high bias data GP; the size threshold CCmax is obtained through the storage module, and the size coefficient CC is compared with the size threshold CCmax: if the size coefficient CC is smaller than the size threshold CCmax, judging that the size monitoring result of the monitored object is qualified; if the size coefficient CC is larger than or equal to the size threshold CCmax, the size monitoring result of the monitored object is judged to be unqualified, and the size monitoring unit sends a size unqualified signal to the monitoring management platform.
4. The cosmetic mirror production quality monitoring and management system based on the internet of things according to claim 3, wherein the specific process of monitoring and analyzing the weight of the cosmetic mirror finished product by the weight monitoring unit comprises the following steps: acquiring a weight value and a weight range of a monitored object, and judging that the weight monitoring result of the monitored object is qualified when the weight value is within the weight range; and when the weight value is out of the weight range, judging that the weight monitoring result of the monitored object is unqualified, and sending a weight unqualified signal to the monitoring management platform by the weight monitoring unit.
5. The cosmetic mirror production quality monitoring and management system based on the internet of things according to claim 4, wherein the specific process of performing management analysis by the discard management unit in the discard management mode comprises: generating a management period, acquiring the times of receiving the appearance disqualification signal, the size disqualification signal and the weight disqualification signal by a monitoring management platform in the management period, marking the times as an appearance value, a size value and a weight value respectively, sequencing the appearance value, the size value and the weight value according to the sequence from big to small to obtain a priority sequence, and executing quality monitoring according to the corresponding working procedure of the priority sequence in the next management period.
6. The cosmetic mirror production quality monitoring and management system based on the internet of things according to claim 5, wherein the specific process of performing management analysis by the reworking management unit in the reworking management mode comprises: generating a management period, acquiring the number of unqualified marks of the monitoring objects in the management period, marking the number of the monitoring objects with the number of unqualified marks being one time as primary data YC, marking the number of the monitoring objects with the number of unqualified marks being two times as secondary data EC, and marking the number of the monitoring objects with the number of unqualified marks being three times as tertiary data SC; the reworking coefficient FG of the management period is obtained by carrying out numerical calculation on the primary data YC, the secondary data EC and the tertiary data SC; the reworking threshold FGmax is obtained through the storage module, and the reworking coefficient FG is compared with the reworking threshold FGmax: if the reworking coefficient FG is smaller than the reworking threshold FGmax, judging that the reworking state in the monitoring period is qualified; if the reworking coefficient FG is greater than or equal to the reworking threshold FGmax, the reworking management unit determines that the reworking state in the monitoring period is not qualified, and sends a reworking failure signal to the monitoring management platform.
7. The cosmetic mirror production quality monitoring and management system based on the internet of things according to any one of claims 1 to 6, wherein the working method of the cosmetic mirror production quality monitoring and management system based on the internet of things comprises the following steps:
step one: and carrying out appearance monitoring analysis on the finished cosmetic mirror product: marking the cosmetic mirror subjected to quality monitoring as a monitoring object, obtaining scratch data GH, stain data WZ and plating omission data LD of the monitoring object, performing numerical calculation to obtain an appearance coefficient WG, and judging whether an appearance monitoring result of the monitoring object is qualified or not through the appearance coefficient WG;
step two: and (3) performing size monitoring analysis on the finished cosmetic mirror product: obtaining long bias data CP, wide bias data KP and high bias data GP of a monitoring object, performing numerical value calculation to obtain a size coefficient CC, and judging whether the size monitoring result of the monitoring object is qualified or not through the size coefficient CC;
step three: monitoring and analyzing the weight of the finished cosmetic mirror product: acquiring a weight value and a weight range of a monitoring object, comparing the weight value with the weight range, and judging whether a weight monitoring result of the monitoring object meets the requirement or not according to a comparison result;
step four: and managing and analyzing the quality monitoring result of the finished cosmetic mirror product by adopting a scrapping management mode or a reworking management mode.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117875787A (en) * | 2024-01-17 | 2024-04-12 | 辽宁中医药大学 | Pond porcelain decocting traditional Chinese medicine pot production supervision system based on data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117875787A (en) * | 2024-01-17 | 2024-04-12 | 辽宁中医药大学 | Pond porcelain decocting traditional Chinese medicine pot production supervision system based on data analysis |
| CN117875787B (en) * | 2024-01-17 | 2024-07-26 | 辽宁中医药大学 | Pond porcelain decocting traditional Chinese medicine pot production supervision system based on data analysis |
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