CN115457155B - Data analysis system for surface inspection - Google Patents
Data analysis system for surface inspection Download PDFInfo
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- CN115457155B CN115457155B CN202211194869.5A CN202211194869A CN115457155B CN 115457155 B CN115457155 B CN 115457155B CN 202211194869 A CN202211194869 A CN 202211194869A CN 115457155 B CN115457155 B CN 115457155B
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention relates to a data analysis system for surface detection, comprising: the data storage chip is used for storing sleeve color data of the rubber sleeve, and the rubber sleeve is of a circular structure; the sleeve body identification device is used for identifying the image block where the sleeve body is located; the data analysis device is used for obtaining each imaging depth of field corresponding to each pixel point forming the image block of the sleeve body, and sending out a surface concave-convex signal when the standard deviation of each imaging depth of field is greater than or equal to a set standard deviation threshold value. According to the invention, the targeted data analysis mechanism can be adopted to perform on-site analysis of the convex-concave degree of the end face of the rubber sleeve finished product in the horizontal placement state of each rubber sleeve production line, wherein the data encryption is carried out on the color data of the sleeve body, so that safe and reliable reference data are provided for the visual identification of the sleeve body, and the effectiveness of the data analysis mechanism for detecting the convex-concave degree of the surface of the product is improved.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a data analysis system for surface detection.
Background
The primary activities of the data analysis process consist of identifying information needs, collecting data, analyzing the data, evaluating and improving the effectiveness of the data analysis.
The requirement of identification information is a primary condition for ensuring the effectiveness of the data analysis process, and can provide clear targets for collecting data and analyzing the data. Identifying information requirements is the requirement that the manager of responsibility should place on the information based on decision making and process control requirements. In terms of process control, the manager should identify those information that are required to support review of process inputs, process outputs, rationality of resource configuration, optimization of process activities, and discovery of process anomaly variance. The purposeful collection of data is the basis for ensuring that the data analysis process is efficient. The organization needs to plan the content, channel, method of collecting data. Analysis data is the process by which collected data is processed, sorted and analyzed to be converted into information.
Data analysis is the basis of a quality management system. The manager of the organization should evaluate its effectiveness, as appropriate, by analysis of the following questions: (1) Whether the information providing decision is sufficient and reliable or not, and whether the problem of decision error caused by insufficient information, misalignment and hysteresis exists or not; (2) Whether the information is consistent with expected values for continuously improving the quality management system, the process and the effect exerted by the product or not, and whether data analysis is effectively applied in the product realization process or not; (3) Whether the purpose of collecting data is clear, whether the collected data is real and full, and whether the information channel is smooth; (4) Whether the data analysis method is reasonable or not, and whether the risk is controlled in an acceptable range or not; (5) whether the resources required by the data analysis are guaranteed or not.
The application of data analysis is extremely wide, and a data analysis mechanism which is suitable for various specific subdivision fields can be adopted to obtain reliable phenomenon information. For example, rubber seals, such as rubber sleeves, are used to improve the tightness of automotive brakes, to ensure the mechanical properties of the automotive brakes, and to prevent radial intrusion of moisture, thereby extending the life of the automotive brakes. The rubber sealing element of the rubber sleeve is so important for the automobile brake, so that the operation effect and the service life of the rubber sleeve, which are unqualified, of the automobile brake are adversely affected, and the main expression is that the sealing effect is affected on one hand, and the normal installation of other matched parts is affected on the other hand because the sealing effect is affected on the other hand due to uneven end face of the rubber sleeve.
Therefore, a reliable data analysis mechanism is needed to effectively detect the smoothness of the end face of the gum cover for each gum cover finished product produced on site. However, in the prior art, a data analysis mechanism for effectively detecting the smoothness of the end face of the rubber sleeve is not available, and the only manual analysis mechanism or the rough electronic analysis mechanism is time-consuming and labor-consuming, and is difficult to raise a new step in analysis accuracy.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a data analysis system for surface detection, which can perform on-site high-precision detection of the convex-concave degree of the end face of a rubber sleeve finished product in each horizontal placement state in the production of a rubber sleeve production line by adopting a data analysis mechanism with a targeted design, wherein the data encryption is performed on the color data of the sleeve body, and safe and reliable reference data is provided for the visual identification of the sleeve body, so that batch and effective quality identification of the rubber sleeve finished product is realized.
According to an aspect of the present invention, there is provided a data analysis system for surface detection, the system comprising:
the data storage chip is used for storing sleeve color data of the rubber sealing piece, wherein the sleeve color data comprise a red-green component interval, a black-white component interval and a yellow Lan Chengfen interval in an LAB color space, the rubber sealing piece is a rubber sleeve, and the rubber sleeve is of a circular structure;
the horizontal pushing mechanism is used for carrying out horizontal pushing operation from the output end of the gum cover production line to the detection platform device in a time-sharing manner on the gum cover finished products produced by the gum cover production line, the detection platform device is provided with a horizontal detection flat plate, each gum cover finished product is horizontally placed on the horizontal detection flat plate, and each gum cover finished product is attached to the bottom end face of the horizontal detection flat plate to finish horizontal cutting treatment;
the data acquisition mechanism is arranged right above the horizontal detection flat plate and is used for executing image picture acquisition operation on the rubber sleeve finished product on the horizontal detection flat plate once after the horizontal pushing mechanism completes horizontal pushing of one rubber sleeve finished product on the horizontal detection flat plate so as to obtain a detection scene picture;
the layering sharpening device is connected with the data acquisition mechanism and is used for continuously executing edge sharpening processing, random noise elimination processing and contrast enhancement processing on the received detection scene picture so as to obtain a layering sharpening picture;
the sleeve body identification device is respectively connected with the data storage chip and the layered sharpening device and is used for identifying the image block where the sleeve body is positioned from the layered sharpening picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the LAB color space in the received layered sharpening picture;
the data analysis device is connected with the sleeve identification device and is used for obtaining each imaging depth of field corresponding to each pixel point forming the image block of the sleeve, and sending out a surface concave-convex signal when the standard deviation of each imaging depth of field is greater than or equal to a set standard deviation threshold value.
Thus, the invention has at least the following two significant technical advances:
firstly, aiming at a rubber sleeve finished product produced by a rubber sleeve production line and in a horizontally placed state, adopting a targeted data analysis mechanism to realize rubber sleeve identification based on rubber sleeve body color data, and simultaneously determining whether the sleeve body surface of the rubber sleeve is uneven according to standard deviation values of imaging depth of each pixel point forming the rubber sleeve, so as to provide key data for the quality detection of the rubber sleeve product;
and the second place adopts a data downloading device to wirelessly download the sleeve color data of the rubber sealing piece in a data encryption state from a server of a rubber sealing piece manufacturer, and the sleeve color data is subjected to data decryption processing after being wirelessly downloaded, so that the safety and the reliability of key information for identifying the rubber sleeve, namely the sleeve color data of the rubber sealing piece, are ensured.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 1 of the present invention.
Fig. 2 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 2 of the present invention.
Fig. 3 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 3 of the present invention.
Detailed Description
Embodiments of a data analysis system for surface inspection according to the present invention will be described in detail below with reference to the accompanying drawings.
Example 1
Fig. 1 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 1 of the present invention, the system including:
the data storage chip is used for storing sleeve color data of the rubber sealing piece, wherein the sleeve color data comprise a red-green component interval, a black-white component interval and a yellow Lan Chengfen interval in an LAB color space, the rubber sealing piece is a rubber sleeve, and the rubber sleeve is of a circular structure;
wherein, the data storage chip can be realized by an MMC storage chip and a TF storage chip;
the horizontal pushing mechanism is used for carrying out horizontal pushing operation from the output end of the gum cover production line to the detection platform device in a time-sharing manner on the gum cover finished products produced by the gum cover production line, the detection platform device is provided with a horizontal detection flat plate, each gum cover finished product is horizontally placed on the horizontal detection flat plate, and each gum cover finished product is attached to the bottom end face of the horizontal detection flat plate to finish horizontal cutting treatment;
the data acquisition mechanism is arranged right above the horizontal detection flat plate and is used for executing image picture acquisition operation on the rubber sleeve finished product on the horizontal detection flat plate once after the horizontal pushing mechanism completes horizontal pushing of one rubber sleeve finished product on the horizontal detection flat plate so as to obtain a detection scene picture;
the layering sharpening device is connected with the data acquisition mechanism and is used for continuously executing edge sharpening processing, random noise elimination processing and contrast enhancement processing on the received detection scene picture so as to obtain a layering sharpening picture;
the sleeve body identification device is respectively connected with the data storage chip and the layered sharpening device and is used for identifying the image block where the sleeve body is positioned from the layered sharpening picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the LAB color space in the received layered sharpening picture;
wherein, identifying the image block where the sleeve body is located from the layered sharpened picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpened picture in the LAB color space comprises: the value of each component value of the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpening picture in the LAB color space is between 0 and 255;
the data analysis device is connected with the sleeve identification device and is used for obtaining each imaging depth of field corresponding to each pixel point forming the image block of the sleeve, and sending out a surface concave-convex signal when the standard deviation of each imaging depth of field is greater than or equal to a set standard deviation threshold value;
the standard deviation of each imaging depth of field represents the far and near deviation degree of the imaging mechanism, namely the data acquisition mechanism, of each physical position corresponding to each pixel point, and the greater the standard deviation of each imaging depth of field is, the greater the far and near deviation degree of the imaging mechanism, namely the data acquisition mechanism, of each physical position corresponding to each pixel point is.
Example 2
Fig. 2 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 2 of the present invention.
In fig. 2, unlike fig. 1, the data analysis system for surface detection shown in embodiment 2 of the present invention may further include:
the action coordination device is respectively connected with the data acquisition mechanism and the horizontal pushing mechanism and is used for executing image picture acquisition operation on the rubber sleeve finished product on the horizontal detection panel once after the action coordination of the data acquisition mechanism and the horizontal pushing mechanism is realized so as to complete horizontal pushing of one rubber sleeve finished product on the horizontal detection panel by the horizontal pushing mechanism;
wherein, after realizing the action cooperation of data acquisition mechanism and horizontal push mechanism is in order to at every time horizontal push mechanism accomplishes the horizontal push of a gum cover finished product on the horizontal detection flat board, carry out once to the image picture collection operation of gum cover finished product on the horizontal detection flat board includes: and after detecting that the horizontal pushing mechanism completes horizontal pushing of a rubber sleeve finished product onto the horizontal detection flat plate, sending a collection starting command to the data collection mechanism once.
Example 3
Fig. 3 is a schematic diagram showing an internal structure of a data analysis system for surface detection according to embodiment 3 of the present invention.
In fig. 3, unlike fig. 1, the data analysis system for surface detection shown in embodiment 3 of the present invention may further include:
the horizontal cutting mechanism is arranged in the rubber sleeve production line and is used for performing horizontal cutting treatment on the bottom end surface of the rubber sleeve production line;
the data downloading device is respectively connected with the data storage chip and the server of the rubber sealing element manufacturer and is used for wirelessly downloading the sleeve color data of the rubber sealing element in an encrypted state from the server of the rubber sealing element manufacturer, and the sleeve color data is decrypted after being wirelessly downloaded;
the data downloading device is also used for sending the sleeve color data of the wireless downloaded rubber sealing piece to the data storage chip for storage;
the data downloading device can be internally provided with a time division communication unit or a frequency division communication unit for downloading data;
and the data downloading device can be also internally provided with a numerical value coding unit for realizing decryption processing of downloaded data.
Next, a further explanation of the specific structure of the data analysis system for surface detection of the present invention will be continued.
In a data analysis system for surface detection according to any embodiment of the present invention:
the data analysis device is further configured to send out a surface smoothing signal when the standard deviation of the respective imaging depths of field is less than the set standard deviation threshold.
In a data analysis system for surface detection according to any embodiment of the present invention:
identifying the image block where the sleeve body is located from the layered sharpened picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpened picture in the LAB color space comprises: when the red-green component value of a certain pixel point in a received layered sharpening picture in an LAB color space is not in the red-green component interval, determining the certain pixel point as a non-sleeve pixel point;
identifying the image block where the sleeve body is located from the layered sharpened picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpened picture in the LAB color space further comprises: when the black-and-white component value of a certain pixel point in the received layered sharpening picture in the LAB color space is not in the black-and-white component interval, determining that the certain pixel point is a non-sleeve pixel point;
wherein, identifying the image block where the sleeve body is located from the layered sharpened picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpened picture in the LAB color space further comprises: when the yellow-blue component value of a certain pixel point in a received layered sharpening picture in an LAB color space is not in the yellow-blue component interval, determining the certain pixel point as a non-sleeve pixel point;
wherein, identifying the image block where the sleeve body is located from the layered sharpened picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the received layered sharpened picture in the LAB color space further comprises: the plurality of pixel points except for each non-sleeve pixel point in the received layered sharpening picture are a plurality of sleeve pixel points.
And in a data analysis system for surface detection according to any of the embodiments of the present invention:
the layered sharpening device comprises an edge processing sub-device, a noise processing sub-device and a contrast processing sub-device;
wherein, in the layered sharpening device, the noise processing sub-device is connected with the edge processing sub-device and the contrast processing sub-device respectively;
wherein, in the hierarchical sharpening device, the edge processing sub-device is used for executing edge sharpening processing on the received picture signal;
wherein, in the hierarchical sharpening device, the noise processing sub-device is used for executing random noise elimination processing to the received picture signal;
wherein, in the hierarchical sharpening device, the contrast processing sub-device is used for performing contrast enhancement processing on the received picture signal to obtain a hierarchical sharpened picture.
In addition, in the data analysis system for surface detection, the hierarchical sharpening device further comprises a parallel communication interface for being respectively connected with the edge processing sub-device, the noise processing sub-device and the contrast processing sub-device;
the parallel communication interface is used for realizing parallel data communication of the edge processing sub-device, the noise processing sub-device and the contrast processing sub-device, and the bit number of the parallel data communication is even.
The data analysis system for surface detection, provided by the invention, is used for solving the technical problem that the surface convex-concave degree of the rubber sleeve serving as a rubber sealing element is difficult to identify with high precision in the prior art, and can be used for carrying out on-site high-precision detection of the surface convex-concave degree of the finished rubber sleeve in each horizontal placement state of the rubber sleeve production line by adopting a targeted data analysis mechanism, wherein the sleeve color data in an encrypted state provides safe and reliable reference data for visual identification of the sleeve body, so that the effectiveness of the data analysis mechanism for detecting the surface convex-concave degree of a product is improved.
While embodiments have been described with reference to several exemplary embodiments, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this invention. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure, the drawings and the appended claims. In addition to various variations and modifications in the component parts and/or arrangements, other alternative uses will be apparent to those skilled in the art.
Claims (6)
1. A data analysis system for surface inspection, the system comprising:
the data storage chip is used for storing sleeve color data of the rubber sealing piece, wherein the sleeve color data comprise a red-green component interval, a black-white component interval and a yellow Lan Chengfen interval in an LAB color space, the rubber sealing piece is a rubber sleeve, and the rubber sleeve is of a circular structure;
the horizontal pushing mechanism is used for carrying out horizontal pushing operation from the output end of the gum cover production line to the detection platform device in a time-sharing manner on the gum cover finished products produced by the gum cover production line, the detection platform device is provided with a horizontal detection flat plate, each gum cover finished product is horizontally placed on the horizontal detection flat plate, and each gum cover finished product is attached to the bottom end face of the horizontal detection flat plate to finish horizontal cutting treatment;
the data acquisition mechanism is arranged right above the horizontal detection flat plate and is used for executing image picture acquisition operation on the rubber sleeve finished product on the horizontal detection flat plate once after the horizontal pushing mechanism completes horizontal pushing of one rubber sleeve finished product on the horizontal detection flat plate so as to obtain a detection scene picture;
the layering sharpening device is connected with the data acquisition mechanism and is used for continuously executing edge sharpening processing, random noise elimination processing and contrast enhancement processing on the received detection scene picture so as to obtain a layering sharpening picture;
wherein the layered sharpening device comprises an edge processing sub-device, a noise processing sub-device and a contrast processing sub-device;
the layered sharpening device further comprises a parallel communication interface which is used for being connected with the edge processing sub-device, the noise processing sub-device and the contrast processing sub-device respectively; the parallel communication interface is used for realizing parallel data communication of the edge processing sub-device, the noise processing sub-device and the contrast processing sub-device, wherein the number of bits of the parallel data communication is an even number;
the sleeve body identification device is respectively connected with the data storage chip and the layered sharpening device and is used for identifying the image block where the sleeve body is positioned from the layered sharpening picture based on the red-green component value, the black-white component value and the yellow-blue component value of each pixel point in the LAB color space in the received layered sharpening picture;
when the yellow-blue component value of a certain pixel point in a received layered sharpening picture in an LAB color space is not in the yellow-blue component interval, determining that the certain pixel point is a non-sleeve pixel point;
wherein, a plurality of pixel points except for each non-sleeve pixel point in the received layered sharpening picture are a plurality of sleeve pixel points;
when the red-green component value of a certain pixel point in a received layered sharpening picture in an LAB color space is not in the red-green component interval, determining that the certain pixel point is a non-sleeve pixel point;
when the black-and-white component value of a certain pixel point in the received layered sharpening picture in the LAB color space is not in the black-and-white component interval, determining that the certain pixel point is a non-sleeve pixel point;
the data analysis device is connected with the sleeve identification device and is used for obtaining each imaging depth of field corresponding to each pixel point forming the image block of the sleeve, and sending out a surface concave-convex signal when the standard deviation of each imaging depth of field is greater than or equal to a set standard deviation threshold value;
the data analysis device is further configured to send out a surface smoothing signal when the standard deviation of the respective imaging depths of field is less than the set standard deviation threshold.
2. The data analysis system for surface inspection of claim 1, wherein the system further comprises:
the action coordination device is respectively connected with the data acquisition mechanism and the horizontal pushing mechanism and is used for executing image picture acquisition operation on the rubber sleeve finished product on the horizontal detection panel once after the action coordination of the data acquisition mechanism and the horizontal pushing mechanism is realized so as to complete horizontal pushing of one rubber sleeve finished product on the horizontal detection panel by the horizontal pushing mechanism;
wherein, after realizing the action cooperation of data acquisition mechanism and horizontal push mechanism is in order to at every time horizontal push mechanism accomplishes the horizontal push of a gum cover finished product on the horizontal detection flat board, carry out once to the image picture collection operation of gum cover finished product on the horizontal detection flat board includes: and after detecting that the horizontal pushing mechanism completes horizontal pushing of a rubber sleeve finished product onto the horizontal detection flat plate, sending a collection starting command to the data collection mechanism once.
3. The data analysis system for surface inspection of claim 1, wherein the system further comprises:
the horizontal cutting mechanism is arranged in the rubber sleeve production line and is used for performing horizontal cutting treatment on the bottom end surface of the rubber sleeve production line;
the data downloading device is respectively connected with the data storage chip and the server of the rubber sealing element manufacturer and is used for wirelessly downloading the sleeve color data of the rubber sealing element in an encrypted state from the server of the rubber sealing element manufacturer, and the sleeve color data is decrypted after being wirelessly downloaded;
the data downloading device is also used for sending the sleeve color data of the wireless downloaded rubber sealing piece to the data storage chip for storage.
4. A data analysis system for surface inspection according to any one of claims 1-3, wherein:
in the layered sharpening device, the noise processing sub-device is connected with the edge processing sub-device and the contrast processing sub-device, respectively.
5. A data analysis system for surface inspection as claimed in claim 4, wherein:
in the hierarchical sharpening device, the edge processing sub-device is configured to perform edge sharpening processing on the received picture signal.
6. A data analysis system for surface inspection as claimed in claim 5, wherein:
in the hierarchical sharpening device, the noise processing sub-device is configured to perform random noise cancellation processing on the received picture signal;
wherein, in the hierarchical sharpening device, the contrast processing sub-device is used for performing contrast enhancement processing on the received picture signal to obtain a hierarchical sharpened picture.
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| CN202211194869.5A CN115457155B (en) | 2022-09-29 | 2022-09-29 | Data analysis system for surface inspection |
| GBGB2216992.4A GB202216992D0 (en) | 2021-11-21 | 2022-11-15 | Data acquisition and analysis system |
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| CN202211194869.5A CN115457155B (en) | 2022-09-29 | 2022-09-29 | Data analysis system for surface inspection |
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| WO2017012986A1 (en) * | 2015-07-17 | 2017-01-26 | Trinamix Gmbh | Detector for optically detecting at least one object |
| CN113044346A (en) * | 2020-10-26 | 2021-06-29 | 泰州市华仕达机械制造有限公司 | Assembly line type target detection positioning platform |
| CN114119601B (en) * | 2021-12-12 | 2022-07-08 | 江阴市友邦家居用品有限公司 | Mattress replacement identification system and method based on numerical analysis |
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| JPH05212949A (en) * | 1992-01-20 | 1993-08-24 | Yoshii Yoshitaka | Rubber seal material and manufacturing device and manufacture of rubber seal |
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