CN114691722B - Method and system for rapidly selecting package detection standard - Google Patents
Method and system for rapidly selecting package detection standard Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 99
- 238000000034 method Methods 0.000 title claims abstract description 36
- 239000013598 vector Substances 0.000 claims abstract description 65
- 239000011159 matrix material Substances 0.000 claims abstract description 57
- 230000008569 process Effects 0.000 claims abstract description 21
- 239000005022 packaging material Substances 0.000 claims abstract description 10
- 239000000284 extract Substances 0.000 claims abstract description 4
- 238000012216 screening Methods 0.000 claims description 20
- 238000003860 storage Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 238000007689 inspection Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims 1
- 239000000463 material Substances 0.000 description 16
- 238000001914 filtration Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000010187 selection method Methods 0.000 description 3
- 230000002457 bidirectional effect Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000004743 Polypropylene Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000001746 injection moulding Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- -1 polypropylene Polymers 0.000 description 1
- 229920001155 polypropylene Polymers 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/24553—Query execution of query operations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a method and a system for rapidly selecting a package detection standard, wherein the system extracts detection standard information in a database so as to obtain required information through one-time input query, and the method comprises the following steps: step I, inputting user login information and judging the correctness of the login information; step II, after successful login, inputting the characteristic information of the packaging material to be detected by a user, and generating a vector group of characteristic categories and characteristic parameters and a standardized data matrix corresponding to the vector group according to the characteristic information; step III, searching detection standard entries matched with the standardized data matrix generated in the step II, and accumulating the number of the matched detection standards; step IV, judging whether to perform secondary input search or not according to the information obtained in the step III; and V, displaying and outputting the required detection standard information, and ending the selection process.
Description
Technical Field
The invention relates to the technical field of standardization, in particular to a method and a system for rapidly selecting a package detection standard.
Background
Along with the continuous development of material technology, various novel materials are layered endlessly, and the production and life of people are greatly enriched, and meanwhile, the novel material detection method brings new challenges to the material detection industry. In the field of common packaging material detection, requirements on performance and safety of the packaging materials are higher and higher, detected projects are more and more, in order to ensure actual packaging effects, a large number of optional detection standards are usually provided for various packaging materials, and the packaging materials are correspondingly detected according to the detection standards, so that expected performance can be achieved. When an actual enterprise produces packaging materials, a large amount of detection requirements are often generated, the materials to be detected are usually transported to related detection institutions, and professional detection personnel search national various detection standards according to material information and determine required detection standards according to experience. Thus, there is an urgent need for a method and system for rapid selection of package inspection criteria.
The Chinese patent (CN 106156150A) discloses a microblog user associated information screening method and device, which are used for solving the problems of sparse data, unsatisfactory recommendation effect and reduced system recommendation efficiency in the prior art, and the method comprises the following steps: firstly, determining an associated user set, feature vectors, community structures and topics of a current user; obtaining user theme distribution according to each characteristic item in the characteristic vector corresponding to each associated user and the theme corresponding to each community structure; according to the user topic distribution, the target associated users of the current user are screened out, so that the problem of sparse recommendation result data can be avoided, the recommendation efficiency of the system is improved, and the associated users consistent with the interests and hobbies of the current user are obtained.
The Chinese patent (CN 110413879A) discloses an information screening system based on an electronic business industry, which comprises a processing center and an information screening module, wherein the processing center is in bidirectional connection with the information screening module, the input end of the processing center is connected with the output end of an information classification module, the input end of the information classification module is connected with the output end of an information arrangement module, the input end of the information arrangement module is connected with the output end of an information input module, the processing center is in bidirectional connection with an information analysis module, and the input end of the processing center is connected with the output end of a power supply module through a wire. The invention relates to the technical field of information screening systems, and discloses an electronic commerce and enterprise information screening system and a screening method based on the electronic commerce and enterprise information screening system.
Disclosure of Invention
The invention aims to provide a rapid selection method and a rapid selection system for a package detection standard aiming at the defects of the prior art.
The invention discloses a rapid selection method of a package detection standard, which aims to solve the technical problems by adopting the following technical scheme: step I, inputting user login information and judging the correctness of the login information; step II, after successful login, inputting the characteristic information of the packaging material to be detected by a user, and generating a vector group of characteristic categories and characteristic parameters and a standardized data matrix corresponding to the vector group according to the characteristic information; step III, searching detection standard entries matched with the standardized data matrix generated in the step II, and accumulating the number of the matched detection standards; step IV, judging whether to need to switch to step II to reselect the characteristic information according to the number of the detection standards obtained in step III so as to perform secondary input search; and V, displaying and outputting the matched data set of the detection standard to obtain one or more pieces of required detection standard information, and ending the selection process.
As a preferable technical solution, the step iii includes performing a precoding operation on each detection standard entry in the detection standard database before searching.
The step IV comprises a selection prompt presentation process and a user independent judgment selection process according to the number of the detection standards obtained in the step III.
As a preferred technical solution, the specific judging rule for the system program to select the prompt presentation process includes: ① When the information is 0 pieces, the feature class is reduced and input again; ② When the information has only 1 piece, the information can be directly output and displayed; ③ When the information is more than 1 piece, the feature class is added and input again.
The invention also discloses a rapid selection system of the package detection standard, which comprises a feature auxiliary standardized input module, a detection standard feature matching data exchange center, a feature set retrieval control unit, a detection standard database and a screening result output module, wherein the feature auxiliary standardized input module comprises a vector group generating unit, the vector group generating unit is connected with the detection standard feature matching data exchange center, the detection standard feature matching data exchange center comprises a vector matrix conversion unit, a data matrix temporary storage unit, a feature set data temporary storage unit and a feature set quantity judgment unit, the data matrix temporary storage unit is used for storing matrix information in the vector matrix conversion unit, the data matrix temporary storage unit is connected with the feature set retrieval control unit, the detection standard feature matching data exchange center is connected with a feature pre-coding control unit, the feature set retrieval control unit is used for retrieving all detection standard items matched with the data matrix features in the detection standard database after the pre-coding process, the feature set data temporary storage unit is used for temporarily storing the detection standard items, the feature set quantity judgment unit is used for judging the quantity of the detection standard and displaying the screening items through the user selection module, and the user selection module is used for displaying the interactive result.
As a preferable technical scheme, the feature auxiliary standardized input module is connected with a user information login module, and the user information login module comprises an information verification unit which is configured to verify whether the input account and password information of the user are correct.
As a preferred technical solution, the vector group generating unit is configured to convert the feature class and the feature parameter into a set of vector parameters, and inside the input system, the length of the vector is configured to indicate the feature class, the angle of the vector is configured to indicate the feature parameter, and the vector group generating unit is used for digitally converting and inputting the text information and visualizing the text information.
As a preferable technical solution, the vector matrix conversion unit is configured to sequentially assign the order of the input vectors of the vector group generating unit to each feature class and convert the vector group information into a data matrix.
As an preferable technical scheme, the digital positions in the data matrix are used for marking the characteristic categories, the digital numerical values in the data matrix are used for marking the characteristic parameters, and the characteristic coding rules of the characteristic precoding control unit are consistent with the characteristic coding rules of the vector matrix conversion unit.
As a preferable technical scheme, the feature pre-coding control unit is configured to start pre-coding action on the detection standard database, the feature pre-coding control unit extracts feature parameter keywords of pre-stored information of the database according to feature category sequence for each item of detection standard information through a feature extraction algorithm of the detection standard database, and generates a group of data matrixes corresponding to each item of information, and the starting time sequence of the feature pre-coding control unit is earlier than that of the feature set retrieval control unit.
Compared with the prior art, the invention has the following advantages:
(1) The invention can obtain the matrix data of the corresponding digits of the database by one-time input inquiry through the extraction process of the pre-coding information characteristics of the detection standard information in the database, and directly obtain the corresponding detection standard of the required matrix characteristics by the input of the calling command of the matrix, thereby achieving the purposes of quick selection and reduction of input times;
(2) The invention adopts the mode that the system automatically judges the detection result and the user carry out autonomous cooperation, realizes the autonomous definition of the screening standard and the searching times, reduces the workload and the calculating times of the system and can meet the selection requirement of the diversified detection standard of the user;
(3) The method for sequentially assigning the order of the input vectors into the feature categories and converting the vector group information into the data matrix can eliminate the matrix part for marking the feature category information, reduce the complexity of processing the data matrix and improve the selection speed.
Drawings
FIG. 1 is a schematic diagram showing information correspondence of a vector group generating unit according to the present invention;
FIG. 2 is a logical block diagram of the method principles of the present invention;
Fig. 3 is a schematic diagram of the functional modules of the system of the present invention.
Detailed Description
As shown in fig. 1-3, the invention discloses a rapid selection method of package detection standards, which comprises the following steps:
step I, inputting user login information and judging the correctness of the login information;
Step II, after successful login, inputting the characteristic information of the packaging material to be detected by a user, and generating a vector group of characteristic categories and characteristic parameters and a standardized data matrix corresponding to the vector group according to the characteristic information;
step III, searching detection standard entries matched with the standardized data matrix generated in the step II, accumulating the number of the matched detection standards, and pre-coding each detection standard entry in a detection standard database before searching;
and step IV, judging whether to switch to step II to reselect the characteristic information according to the number of the detection standards obtained in step III so as to perform secondary input search, specifically, performing a selection prompt presentation process and a user autonomous judgment selection process by a system program according to the number of the detection standards obtained in step III, wherein the specific judgment rules for performing the selection prompt presentation process by the system program include: ① When the information is 0 pieces, the feature class is reduced and input again; ② When the information has only 1 piece, the information can be directly output and displayed; ③ When the information is more than 1 piece, adding the feature class and re-inputting;
and V, displaying and outputting the matched data set of the detection standard to obtain one or more pieces of required detection standard information, and ending the selection process.
The invention also discloses a rapid selection system of the package detection standard, which comprises a feature auxiliary standardized input module, a detection standard feature matching data exchange center, a feature set retrieval control unit, a detection standard database and a screening result output module, wherein the feature auxiliary standardized input module comprises a vector group generating unit, the vector group generating unit is connected with the detection standard feature matching data exchange center, the detection standard feature matching data exchange center comprises a vector matrix conversion unit, a data matrix temporary storage unit, a feature set data temporary storage unit and a feature set quantity judging unit, the data matrix temporary storage unit is used for storing matrix information in the vector matrix conversion unit, the data matrix temporary storage unit is connected with the feature set retrieval control unit, the detection standard feature matching data exchange center is connected with a feature precoding control unit, the feature set retrieval control unit is used for retrieving all detection standard items matched with the data matrix features in the detection standard database after the precoding process, the feature set data temporary storage unit is used for temporarily storing the detection standard items, the feature set quantity judging unit is used for carrying out the quantity judgment on the detection standard items, and the feature set data temporary storage unit is used for carrying out interactive display and the screening result output by the user selection module, and the user selection module is used for outputting the screening result.
The working principle of each module is further described below, and the feature auxiliary standardized input module is connected with a user information login module, where the user information login module includes an information verification unit configured to verify whether the input account and password information of the user are correct. The vector group generating unit is configured to convert the characteristic category and the characteristic parameter into a group of vector parameters, the length of the vector is configured to mark the characteristic category, the angle of the vector is configured to mark the characteristic parameter, and the vector group generating unit is used for performing digital conversion input and visual display process on the text information. The vector matrix conversion unit is configured to sequentially assign an order of input vectors of the vector group generation unit to each feature class and convert vector group information into a data matrix. The digital positions in the data matrix are used for marking the characteristic categories, the digital numerical values in the data matrix are used for marking the characteristic parameters, and the characteristic coding rules of the characteristic precoding control unit are consistent with the characteristic coding rules of the vector matrix conversion unit. The characteristic pre-coding control unit is configured to start pre-coding action on the detection standard database, extracts characteristic parameter keywords of pre-stored information of the database according to characteristic category sequence for each item of detection standard information through a detection standard database characteristic extraction algorithm, and generates a group of data matrixes corresponding to each item of information, and the starting time sequence of the characteristic pre-coding control unit is earlier than that of the characteristic set retrieval control unit.
When the user selects the detection standard, the user can carry out systematic setting configuration through a computer, so that the information automatic screening process is realized, and after the user takes the packaging material to be detected, the user needs to determine 4 (or other quantity) screening characteristic categories of the material detection standard and corresponding characteristic parameters thereof, such as the material category, which are films/bags; the material is polypropylene; the material process is injection molding; the material is used as medicine. After successfully logging in the system, information input is performed on the feature auxiliary standardized input module, the vector group generating unit performs automatic digital information processing conversion through information input by a user, for example, the feature class of the material is sequentially corresponding to letters f, b, m, d in the system, the feature parameter is ③、①、⑤、⑧, then the vector matrix converting unit sequentially defines the first, second, third and fourth digits of the matrix as f (material type), b (material quality), m (material process), d (material use), the sequence defining mode is transmitted to the feature pre-coding control unit through the feature matching data exchange center of the detection standard, the feature pre-coding control unit adopts the same defining mode, all detection standard items in the detection standard database correspond to a matrix formed by four digits through a feature extraction algorithm, for example, the detection standard [ 1] corresponds to [ 32 14 ], the detection standard [ 2 ] corresponds to [ 45 67 ], the detection standard [3 ] corresponds to [ 5357 ], namely, the first digit corresponds to [ 67 91 ], the second digit ] corresponds to the detection standard [ 42 ], the feature pre-coding control unit is used for performing the feature matching with the feature pre-coding control unit, the feature pre-processing unit is used for the feature data set, the feature pre-filtering unit is sequentially, the feature pre-filtering is performed on the feature data set is performed on the feature data, the feature set is sequentially, the feature data is sequentially acquired through the feature pre-filtering unit, and the feature pre-filtering unit is subjected to the feature data, the feature set is subjected to the feature matching and the feature data, and the feature is subjected to the feature and the feature processing, and the feature processing is subjected to the feature and the feature processing and the feature. The method can directly acquire the required detection standard or can perform searching and screening again by adjusting the number of the characteristic categories until the required detection standard or standards are obtained.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A method for rapidly selecting a package inspection standard, comprising the steps of:
Step I, inputting user login information and judging the correctness of the login information; step II, after logging in successfully, inputting the characteristic information of the packaging material to be detected by a user, generating a vector group of characteristic categories and characteristic parameters and a standardized data matrix corresponding to the characteristic categories according to the characteristic information, wherein the step comprises the steps of carrying out precoding operation on each detection standard item in a detection standard database, specifically comprising the steps of converting the characteristic categories and the characteristic parameters into a group of vector parameters through a vector group generating unit, configuring the length of a vector into a characteristic category in an input system, configuring the angle of the vector into the characteristic parameters, realizing the process of digitally converting and inputting and intuitively displaying text information, sequentially assigning the sequence of input vectors of a vector group generating unit into each characteristic category through a vector matrix converting unit, converting the vector group information into a data matrix comprising the digital positions in the data matrix for marking the characteristic categories, and enabling the characteristic encoding rules of a characteristic precoding control unit to be consistent with the characteristic encoding rules of the vector matrix converting unit; step III, searching detection standard entries matched with the standardized data matrix generated in the step II, and accumulating the number of the matched detection standards; step IV, judging whether to need to switch to step II to reselect the characteristic information according to the number of the detection standards obtained in step III so as to perform secondary input search; and V, displaying and outputting the matched data set of the detection standard to obtain one or more pieces of required detection standard information, and ending the selection process.
2. A method of rapid selection of package inspection criteria according to claim 1, wherein: and step IV, the system program carries out a selection prompt presentation process and a user autonomous judgment selection process according to the number of the detection standards obtained in the step III.
3. A method of rapid selection of package inspection criteria according to claim 2, wherein: the specific judging rules of the system program for selecting the prompt presentation process comprise: ① When the information is 0 pieces, the feature class is reduced and input again; ② When the information has only 1 piece, the information can be directly output and displayed; ③ When the information is more than 1 piece, the feature class is added and input again.
4. A rapid selection system for package inspection criteria, characterized by: the system comprises a feature auxiliary standardized input module, a detection standard feature matching data exchange center, a feature set retrieval control unit, a detection standard database and a screening result output module, wherein the feature auxiliary standardized input module comprises a vector group generating unit, the vector group generating unit is connected with the detection standard feature matching data exchange center, the vector group generating unit is configured to convert feature categories and feature parameters into a group of vector parameters, the length of a vector is configured to mark the feature categories, the angle of the vector is configured to mark the feature parameters in the input system, the vector group generating unit is used for digitally converting and inputting text information and visually displaying the text information, the detection standard feature matching data exchange center comprises a vector matrix converting unit, a data matrix temporary storage unit, a feature set data temporary storage unit and a feature set quantity judging unit, the vector matrix conversion unit is configured to sequentially assign the order of the input vectors of the vector group generation unit into each feature class and convert vector group information into a data matrix, the data matrix temporary storage unit is used for storing matrix information in the vector matrix conversion unit, the data matrix temporary storage unit is connected with the feature set retrieval control unit, the detection standard feature matching data exchange center is connected with the feature precoding control unit, the digital position in the data matrix is used for marking the feature class, the digital numerical value in the data matrix is used for marking the feature parameter, the feature coding rule of the feature precoding control unit is consistent with the feature coding rule of the vector matrix conversion unit, the feature set invoking control unit is used for invoking all detection standard items matched with the data matrix features in the detection standard database after the precoding process, the feature set data temporary storage unit is used for temporarily storing the detection standard items, the feature set quantity judging unit is used for judging the quantity of the detection standard items and outputting and displaying the quantity of the detection standard items through the screening result output module in a user independent selection mode, and the screening result output module is connected with the display unit which is used for user information interaction control.
5. A rapid selection system for package inspection criteria as claimed in claim 4 wherein: the feature auxiliary standardized input module is connected with a user information login module, and the user information login module comprises an information verification unit which is configured to verify whether the input account and password information of the user are correct.
6. A rapid selection system for package inspection criteria as claimed in claim 4 wherein: the characteristic pre-coding control unit is configured to start pre-coding action on the detection standard database, extracts characteristic parameter keywords of pre-stored information of the database according to characteristic category sequence for each item of detection standard information through a detection standard database characteristic extraction algorithm, and generates a group of data matrixes corresponding to each item of information, and the starting time sequence of the characteristic pre-coding control unit is earlier than that of the characteristic set retrieval control unit.
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06265499A (en) * | 1989-12-06 | 1994-09-22 | General Electric Co Plc:The (Gec) | Detector of chemical substance |
CN106204618A (en) * | 2016-07-20 | 2016-12-07 | 南京文采科技有限责任公司 | Product surface of package defects detection based on machine vision and sorting technique |
CN107025241A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The rapid screening method and system of a kind of packaging detection standard |
CN107020248A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The auto-screening method and system of a kind of packaging detection method |
CN107239338A (en) * | 2016-03-29 | 2017-10-10 | 济南兰光机电技术有限公司 | A kind of packaging detection result data generation method and server |
CN110349248A (en) * | 2019-05-22 | 2019-10-18 | 广州明珞汽车装备有限公司 | Quickly generate method, system, device and the storage medium of normal structure |
CN112381554A (en) * | 2020-11-30 | 2021-02-19 | 北京盈创高科新技术发展有限公司 | Standard package traceability code generation system and method |
CN113051372A (en) * | 2021-04-12 | 2021-06-29 | 平安国际智慧城市科技股份有限公司 | Material data processing method and device, computer equipment and storage medium |
CN113706527A (en) * | 2021-10-27 | 2021-11-26 | 南通宝田包装科技有限公司 | Quality detection method and system for cosmetic package |
CN114119561A (en) * | 2021-11-29 | 2022-03-01 | 扬州三星塑胶有限公司 | PET finished product packaging quality detection method and system |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8190880B2 (en) * | 2007-01-24 | 2012-05-29 | International Business Machines Corporation | Methods and systems for displaying standardized data |
US9734280B2 (en) * | 2012-04-27 | 2017-08-15 | Labthink Instruments Co., Ltd. | Plastic packaging materials testing system based on internet of things and cloud technology |
-
2022
- 2022-03-25 CN CN202210305891.6A patent/CN114691722B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06265499A (en) * | 1989-12-06 | 1994-09-22 | General Electric Co Plc:The (Gec) | Detector of chemical substance |
CN107025241A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The rapid screening method and system of a kind of packaging detection standard |
CN107020248A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The auto-screening method and system of a kind of packaging detection method |
CN107239338A (en) * | 2016-03-29 | 2017-10-10 | 济南兰光机电技术有限公司 | A kind of packaging detection result data generation method and server |
CN106204618A (en) * | 2016-07-20 | 2016-12-07 | 南京文采科技有限责任公司 | Product surface of package defects detection based on machine vision and sorting technique |
CN110349248A (en) * | 2019-05-22 | 2019-10-18 | 广州明珞汽车装备有限公司 | Quickly generate method, system, device and the storage medium of normal structure |
CN112381554A (en) * | 2020-11-30 | 2021-02-19 | 北京盈创高科新技术发展有限公司 | Standard package traceability code generation system and method |
CN113051372A (en) * | 2021-04-12 | 2021-06-29 | 平安国际智慧城市科技股份有限公司 | Material data processing method and device, computer equipment and storage medium |
CN113706527A (en) * | 2021-10-27 | 2021-11-26 | 南通宝田包装科技有限公司 | Quality detection method and system for cosmetic package |
CN114119561A (en) * | 2021-11-29 | 2022-03-01 | 扬州三星塑胶有限公司 | PET finished product packaging quality detection method and system |
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