CN117350318A - Two-dimensional code-based association error prevention method and system - Google Patents
Two-dimensional code-based association error prevention method and system Download PDFInfo
- Publication number
- CN117350318A CN117350318A CN202311661328.3A CN202311661328A CN117350318A CN 117350318 A CN117350318 A CN 117350318A CN 202311661328 A CN202311661328 A CN 202311661328A CN 117350318 A CN117350318 A CN 117350318A
- Authority
- CN
- China
- Prior art keywords
- product production
- product
- production
- node
- acquisition device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000002265 prevention Effects 0.000 title claims abstract description 9
- 238000004519 manufacturing process Methods 0.000 claims abstract description 232
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000012797 qualification Methods 0.000 claims description 30
- 238000001514 detection method Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 16
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Educational Administration (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Toxicology (AREA)
- Health & Medical Sciences (AREA)
- Electromagnetism (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention relates to the field of data processing, and discloses a two-dimension code-based association error prevention method and a two-dimension code-based association error prevention system, wherein the two-dimension code-based association error prevention method and the two-dimension code-based association error prevention system comprise a cloud data server, a product production node data acquisition device and a product production node management module; the product production node data acquisition device, the product production node management module and the cloud data server are sequentially in communication connection. The cloud data server comprises a product production node list and provides equipment operation data of product production nodes corresponding to the product production nodes and quality identification data of the product production nodes; the product production node management module is used for generating a node management container corresponding to the product production nodes according to the number of the product production nodes in the product production node list, and the product production node data acquisition device is used for acquiring and uploading product production data of the product production nodes and operation data of product production node equipment to the node management container. The invention can improve the error-proof efficiency of the product.
Description
Technical Field
The invention relates to the field of data processing, in particular to a two-dimensional code-based association error prevention method and system.
Background
Along with the development of technology, two-dimensional codes have been widely applied to various industries. It has the advantages of large information quantity, strong readability and strong anti-interference capability. However, the existing two-dimensional code error protection technology mainly focuses on error detection and correction of data, and an effective solution is lacking for error protection processing between the two-dimensional code and an associated object thereof. Errors can cause significant losses, especially during delivery of the product or service. In the production process of the product, as a plurality of production nodes are provided, errors in production of the product are difficult to avoid, so that how to find out production errors at one production node can extract and reject out the error products in the whole production line is a subject to be researched by technicians in the current industry.
Therefore, there is a need for a two-dimensional code based association error protection method and system to reduce errors in operation.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a two-dimension code-based association error-preventing system which comprises a cloud data server, a product production node data acquisition device and a product production node management module; the product production node data acquisition device, the product production node management module and the cloud data server are sequentially in communication connection;
the cloud data server comprises a product production node list and provides equipment operation data of product production nodes corresponding to the product production nodes and quality identification data of the product production nodes;
the product production node management module is used for generating a node management container corresponding to the product production nodes according to the number of the product production nodes in the product production node list, and the node management container carries out node state identification and product production quality identification according to the production node data uploaded by the product production node data acquisition device;
the product production node data acquisition device is used for acquiring and uploading product production data of the product production nodes and operation data of product production node equipment to the node management container.
Preferably, the node status recognition and the product production quality recognition are performed by the production node management container according to the production node data uploaded by the product production node data acquisition device, including:
the production node management container comprises a product production estimation module, wherein the product production estimation module carries out product production estimation on the product production nodes according to the operation data of the product production node equipment uploaded by the product production node data acquisition device, and if the product production estimation is passed, the product production estimation module sends product production estimation passing information and the information of the production node data acquisition device to the product production quality identification module;
the production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device; after the product production quality identification module is connected to the production node data acquisition device, the production nodes are in ready states, the ready states of the production nodes are updated to a product production node list of the cloud data server, and all the production nodes in the product production node list are in ready states, so that the product production line is ready.
Preferably, the product production node is evaluated for product production according to the operation data of the product production node device uploaded by the product production node data acquisition device, including:
comparing the equipment operation data of the product production nodes with the corresponding equipment operation data of the product production nodes in the cloud data server, and if the data deviation is within a set deviation range, the production equipment is ready, and the product production starting evaluation is passed; if not, debugging the equipment of the product production node until the product production starting evaluation passes.
Preferably, the product production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device, and further comprises:
after the product production quality identification module is connected to the production node data acquisition device, the production node data acquisition device acquires the product data produced by the production node and sends the product data to the product production quality identification module, and the product production quality identification module carries out product quality identification.
Preferably, the production node data acquisition device acquires product data produced by a product production node, and sends the product data to the product production quality identification module for product quality identification, and the method comprises the following steps:
the product data comprises two-dimension code information of the product, a two-dimension code information sequence in a set detection period is obtained, a two-dimension code in the two-dimension code information sequence is selected by a dichotomy, and product quality identification is carried out according to the product corresponding to the selected two-dimension code, so that the product qualification rate is obtained.
A method for preventing errors based on association of two-dimension codes applies a system for preventing errors based on association of two-dimension codes, which comprises the following steps: acquiring a two-dimensional code information sequence in a set detection period, dividing the two-dimensional code information sequence into two sub-sequences, respectively acquiring the product qualification rate of the two sub-sequences, and if the qualification rates of the two sub-sequences are consistent and are not smaller than the set qualification rate, producing qualified products by a production node;
if the qualification rates of the two subsequences are inconsistent, the subsequence with the small qualification rate is divided into two, two secondary sequences are obtained, the qualification rate is respectively obtained, the secondary sequence with the small qualification rate is divided into two, and the like until a sequence with the qualification rate smaller than the set qualification rate is obtained, and the product of the sequence is extracted and removed.
The beneficial effects of the invention are as follows: by the technical scheme provided by the invention, the production error can be found at one production node, the error products in the whole production line can be extracted and removed, and the error prevention efficiency of the products is improved.
Drawings
FIG. 1 is a schematic diagram of a two-dimensional code-based association error protection system;
fig. 2 is a flow chart of a method for associating error protection based on two-dimension codes.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
As shown in fig. 1, a two-dimension code-based association error protection system comprises a cloud data server, a product production node data acquisition device and a product production node management module; the product production node data acquisition device, the product production node management module and the cloud data server are sequentially in communication connection;
the cloud data server comprises a product production node list and provides equipment operation data of product production nodes corresponding to the product production nodes and quality identification data of the product production nodes;
the product production node management module is used for generating a node management container corresponding to the product production nodes according to the number of the product production nodes in the product production node list, and the node management container carries out node state identification and product production quality identification according to the production node data uploaded by the product production node data acquisition device;
the product production node data acquisition device is used for acquiring and uploading product production data of the product production nodes and operation data of product production node equipment to the node management container.
The production node management container carries out node state identification and product production quality identification according to the production node data uploaded by the product production node data acquisition device, and comprises the following steps:
the production node management container comprises a product production estimation module, wherein the product production estimation module carries out product production estimation on the product production nodes according to the operation data of the product production node equipment uploaded by the product production node data acquisition device, and if the product production estimation is passed, the product production estimation module sends product production estimation passing information and the information of the production node data acquisition device to the product production quality identification module;
the production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device; after the product production quality identification module is connected to the production node data acquisition device, the production nodes are in ready states, the ready states of the production nodes are updated to a product production node list of the cloud data server, and all the production nodes in the product production node list are in ready states, so that the product production line is ready.
The product production node is evaluated according to the operation data of the product production node equipment uploaded by the product production node data acquisition device, and the product production evaluation comprises the following steps:
comparing the equipment operation data of the product production nodes with the corresponding equipment operation data of the product production nodes in the cloud data server, and if the data deviation is within a set deviation range, the production equipment is ready, and the product production starting evaluation is passed; if not, debugging the equipment of the product production node until the product production starting evaluation passes.
The product production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device, and further comprises:
after the product production quality identification module is connected to the production node data acquisition device, the production node data acquisition device acquires the product data produced by the production node and sends the product data to the product production quality identification module, and the product production quality identification module carries out product quality identification.
The production node data acquisition device acquire the product data of product production node production, send to the product production quality identification module and carry out product quality identification, include:
the product data comprises two-dimension code information of the product, a two-dimension code information sequence in a set detection period is obtained, a two-dimension code in the two-dimension code information sequence is selected by a dichotomy, and product quality identification is carried out according to the product corresponding to the selected two-dimension code, so that the product qualification rate is obtained.
As shown in fig. 2, a method for preventing errors based on association of two-dimensional codes, which applies a system for preventing errors based on association of two-dimensional codes, includes: acquiring a two-dimensional code information sequence in a set detection period, dividing the two-dimensional code information sequence into two sub-sequences, respectively acquiring the product qualification rate of the two sub-sequences, and if the qualification rates of the two sub-sequences are consistent and are not smaller than the set qualification rate, producing qualified products by a production node;
if the qualification rates of the two subsequences are inconsistent, the subsequence with the small qualification rate is divided into two, two secondary sequences are obtained, the qualification rate is respectively obtained, the secondary sequence with the small qualification rate is divided into two, and the like until a sequence with the qualification rate smaller than the set qualification rate is obtained, and the product of the sequence is extracted and removed.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (6)
1. The system for correlation error prevention based on the two-dimension code is characterized by comprising a cloud data server, a product production node data acquisition device and a product production node management module; the product production node data acquisition device, the product production node management module and the cloud data server are sequentially in communication connection;
the cloud data server comprises a product production node list and provides equipment operation data of product production nodes corresponding to the product production nodes and quality identification data of the product production nodes;
the product production node management module is used for generating a node management container corresponding to the product production nodes according to the number of the product production nodes in the product production node list, and the node management container carries out node state identification and product production quality identification according to the production node data uploaded by the product production node data acquisition device;
the product production node data acquisition device is used for acquiring and uploading product production data of the product production nodes and operation data of product production node equipment to the node management container.
2. The system for associating error protection based on two-dimensional codes as set forth in claim 1, wherein the production node management container performs node status recognition and product production quality recognition according to the production node data uploaded by the product production node data acquisition device, and comprises:
the production node management container comprises a product production estimation module, wherein the product production estimation module carries out product production estimation on the product production nodes according to the operation data of the product production node equipment uploaded by the product production node data acquisition device, and if the product production estimation is passed, the product production estimation module sends product production estimation passing information and the information of the production node data acquisition device to the product production quality identification module;
the production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device; after the product production quality identification module is connected to the production node data acquisition device, the production nodes are in ready states, the ready states of the production nodes are updated to a product production node list of the cloud data server, and all the production nodes in the product production node list are in ready states, so that the product production line is ready.
3. The system for associating error protection based on two-dimensional codes as set forth in claim 2, wherein said evaluating the product production of the product production node based on the product production node equipment operation data uploaded by the product production node data acquisition device comprises:
comparing the equipment operation data of the product production nodes with the corresponding equipment operation data of the product production nodes in the cloud data server, and if the data deviation is within a set deviation range, the production equipment is ready, and the product production starting evaluation is passed; if not, debugging the equipment of the product production node until the product production starting evaluation passes.
4. The system for associating error protection based on two-dimensional codes as set forth in claim 3, wherein said product production quality identification module is connected to the production node data acquisition device according to the information of the production node data acquisition device, further comprising:
after the product production quality identification module is connected to the production node data acquisition device, the production node data acquisition device acquires the product data produced by the production node and sends the product data to the product production quality identification module, and the product production quality identification module carries out product quality identification.
5. The system for associating error protection based on two-dimensional codes as set forth in claim 4, wherein said production node data acquisition means acquires the product data produced by the product production node, and sends the product data to the product quality recognition module for product quality recognition, comprising:
the product data comprises two-dimension code information of the product, a two-dimension code information sequence in a set detection period is obtained, a two-dimension code in the two-dimension code information sequence is selected by a dichotomy, and product quality identification is carried out according to the product corresponding to the selected two-dimension code, so that the product qualification rate is obtained.
6. The method for preventing errors based on association of two-dimensional codes is characterized in that the system for preventing errors based on association of two-dimensional codes according to claim 5 is applied and comprises the following steps: acquiring a two-dimensional code information sequence in a set detection period, dividing the two-dimensional code information sequence into two sub-sequences, respectively acquiring the product qualification rate of the two sub-sequences, and if the qualification rates of the two sub-sequences are consistent and are not smaller than the set qualification rate, producing qualified products by a production node;
if the qualification rates of the two subsequences are inconsistent, the subsequence with the small qualification rate is divided into two, two secondary sequences are obtained, the qualification rate is respectively obtained, the secondary sequence with the small qualification rate is divided into two, and the like until a sequence with the qualification rate smaller than the set qualification rate is obtained, and the product of the sequence is extracted and removed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311661328.3A CN117350318B (en) | 2023-12-06 | 2023-12-06 | Two-dimensional code-based association error prevention method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311661328.3A CN117350318B (en) | 2023-12-06 | 2023-12-06 | Two-dimensional code-based association error prevention method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117350318A true CN117350318A (en) | 2024-01-05 |
| CN117350318B CN117350318B (en) | 2024-03-26 |
Family
ID=89358001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311661328.3A Active CN117350318B (en) | 2023-12-06 | 2023-12-06 | Two-dimensional code-based association error prevention method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117350318B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107944789A (en) * | 2017-11-15 | 2018-04-20 | 惠州市蓝微电子有限公司 | A kind of input method of PACK products |
| CN110751457A (en) * | 2019-09-27 | 2020-02-04 | 中国兵器装备集团上海电控研究所 | Intelligent integrated information management system for production line |
| CN112581086A (en) * | 2020-12-16 | 2021-03-30 | 上海英应机器人科技有限公司 | System for real-time production data acquisition and production resource tracking management of site |
| CN114022095A (en) * | 2021-09-28 | 2022-02-08 | 镇江原轼新型材料有限公司 | Manufacturing execution system for diamond wire production based on internet information technology |
-
2023
- 2023-12-06 CN CN202311661328.3A patent/CN117350318B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107944789A (en) * | 2017-11-15 | 2018-04-20 | 惠州市蓝微电子有限公司 | A kind of input method of PACK products |
| CN110751457A (en) * | 2019-09-27 | 2020-02-04 | 中国兵器装备集团上海电控研究所 | Intelligent integrated information management system for production line |
| CN112581086A (en) * | 2020-12-16 | 2021-03-30 | 上海英应机器人科技有限公司 | System for real-time production data acquisition and production resource tracking management of site |
| CN114022095A (en) * | 2021-09-28 | 2022-02-08 | 镇江原轼新型材料有限公司 | Manufacturing execution system for diamond wire production based on internet information technology |
Non-Patent Citations (2)
| Title |
|---|
| 周洪发: "基于云平台的电机设备远程运维系统设计", 电机与控制应用, no. 10 * |
| 周洪发: "基于云平台的电机设备远程运维系统设计", 电机与控制应用, no. 10, 10 October 2018 (2018-10-10) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117350318B (en) | 2024-03-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110276410B (en) | Method and device for determining bad reason, electronic equipment and storage medium | |
| CN113918376B (en) | Fault detection method, device, equipment and computer readable storage medium | |
| CN106933691B (en) | Identification method and system for abnormal points in seasonal time series data sequence | |
| CN109919154B (en) | Intelligent character recognition method and device | |
| CN117350318B (en) | Two-dimensional code-based association error prevention method and system | |
| CN110399344A (en) | Choose the method and device of multiimage | |
| CN102540995B (en) | Produce line flow control system and method | |
| CN108830833B (en) | Online evaluation method of workpiece identification project, server and terminal | |
| CN101639907A (en) | Automatic comparison system and operation method thereof | |
| CN112633900A (en) | Industrial Internet of things data verification method based on machine learning | |
| CN115932144B (en) | Chromatograph performance detection method, chromatograph performance detection device, chromatograph performance detection equipment and computer medium | |
| CN117056842A (en) | Method, device, equipment, medium and product for constructing equipment abnormality monitoring model | |
| CN110852876A (en) | Batch error reporting recovery method and device | |
| CN111950573A (en) | Abnormal problem clustering method and device | |
| CN111160330B (en) | Training method for improving image recognition accuracy with assistance of electronic tag recognition | |
| CN106156926A (en) | Product manufacturing operation based on bar code monitoring method and device | |
| CN112860975A (en) | Article uniqueness coding cloud verification method and system | |
| CN106095875B (en) | Method and device for improving ID of live broadcast terminal | |
| CN107729016B (en) | Rpm packet compiling method and system based on docker | |
| CN112099738B (en) | Hardware-based print data acquisition method and device | |
| CN106557709B (en) | Chip identifier automatic inspection system and its method | |
| CN117350319B (en) | Method and system for preventing error of product associated data | |
| CN115828977B (en) | Industrial Internet label coding method, device, medium and electronic equipment | |
| CN112035369B (en) | Test sample generation method and device | |
| CN113515507B (en) | Method and system applied to dam water seepage detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |