CN115422301A - Iterative product quality detection method and system based on quality inspection machine database synchronization - Google Patents

Iterative product quality detection method and system based on quality inspection machine database synchronization Download PDF

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CN115422301A
CN115422301A CN202211365386.7A CN202211365386A CN115422301A CN 115422301 A CN115422301 A CN 115422301A CN 202211365386 A CN202211365386 A CN 202211365386A CN 115422301 A CN115422301 A CN 115422301A
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CN115422301B (en
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陈兆祺
赵何
张志琦
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Jiangsu Zhiyun Tiangong Technology Co ltd
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Abstract

The invention provides a quality inspection machine database synchronization-based iterative product quality detection method and system, which comprises the following steps: iterative product transportation step: conveying the iterative products to a detection station; and updating and synchronizing the database: aiming at iterative products, carrying out iterative update synchronization on the structure and data of the database of the industrial control quality inspection machine; quality detection: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine. The invention can synchronously and iteratively update the industrial control quality inspection machine, so that the industrial control quality inspection machine can perform quality inspection on iterative products, and the adaptability of the quality inspection method of the products can be improved.

Description

Iterative product quality detection method and system based on quality inspection machine database synchronization
Technical Field
The invention relates to the technical field of quality detection, in particular to an iterative product quality detection method and system based on quality inspection machine database synchronization, which are applied to a database updating processing system in intelligent manufacturing production.
Background
The defect detection generally refers to the detection of defects on the surface of an article, and the surface defect detection is to detect defects such as spots, pits, scratches, color differences, defects and the like on the surface of a workpiece by adopting an advanced machine vision detection technology.
The Chinese invention patent document with publication number CN115187593A discloses a screen defect detection method and a device, and the method comprises the following steps: acquiring a plurality of screen images, wherein the plurality of screen images are a plurality of images which are shot by a screen containing defects in sequence at different focal distances in the vertical direction; determining a defect area of each screen image; calculating the brightness of the defect area; and determining the image with the darkest brightness in the defect area as a target defect image, and determining the layer number of the image corresponding to the target defect image as the layer where the defect is located.
In view of the above-mentioned related technologies, the inventor believes that the conventional quality inspection method for a product can only detect defects of a certain product or a certain generation of products, and the adaptability of the product quality inspection method is poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a quality inspection machine database synchronization-based iterative product quality detection method and system.
The invention provides a quality inspection machine database synchronization-based iterative product quality detection method, which comprises the following steps:
iterative product transportation step: transporting the iterative product to a detection station;
and updating and synchronizing the database: aiming at iterative products, carrying out iterative update synchronization on the structure and data of the database of the industrial control quality inspection machine;
quality detection: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
Preferably, the database update synchronization step includes the steps of:
reading the service information of the configuration file: acquiring database connection information by reading operation and maintenance configuration;
and (3) collecting demand information: acquiring requirement information needing comparison or synchronization from database connection information by inputting incoming or configuration behaviors;
connecting the designated source and target databases: selecting related components to access the database through the type of the database appointed in the configuration according to the requirement information needing to be compared or synchronized;
and (3) specifying a database table structure comparison step: comparing database table structures according to actual requirements, and outputting results with the same or different structures;
and a step of specifying database table structure synchronization: carrying out database table structure modification synchronization according to actual requirements, and outputting a synchronized result;
and a step of specifying database table data comparison: comparing database table data according to actual requirements, and outputting results with the same or different structures;
and a step of specifying database table data synchronization: and synchronizing the database table data according to actual requirements, and outputting a synchronized result.
Preferably, the step of reading the service information of the configuration file includes the steps of:
step S1.1: an initialization system reads an operation and maintenance configuration yaml file;
step S1.2: and acquiring the connection information of the database server according to the configured yaml file, and judging the format correctness of the content.
Preferably, the step of collecting the demand information includes the steps of:
step S2.1: recording related comparison or synchronous operation tasks through the requirement information of an external input or read file;
step S2.2: and (5) sorting the required tasks and checking whether the content is correct or not.
Preferably, the step of connecting the designated source and target databases comprises the steps of:
step S3.1: selecting a component and a method for reading and writing a database according to corresponding information in the job task;
step S3.2: connecting a related comparison source database and a target database;
step S3.3: and judging the connected source database and target database before job processing according to the requirement.
Preferably, the step of comparing the specified database table structures includes the following steps:
step S4.1: comparing the tables of the targets by taking the source table structure as a reference according to the task requirements;
step S4.2: and sorting and comparing the data and outputting the result.
Preferably, the step of synchronizing the structure of the specified database table comprises the following steps:
step S5.1: backing up a target table structure and data sentences which need to be synchronized;
step S5.2: performing structure modification synchronization on a table of a target by taking a source table structure as a reference according to task requirements;
step S5.3: and (5) sorting and outputting the synchronous result.
Preferably, the step of comparing the database table data of the designated database table comprises the following steps:
step S6.1: comparing the target tables by taking the source table data as a reference according to the task requirements;
step S6.2: and sorting and comparing the data and outputting the result.
Preferably, the step of synchronizing the database table data of the designated database table comprises the following steps:
step S7.1: backing up target table data statements to be synchronized;
step S7.2: according to task requirements, cleaning a target table by taking source table data as a reference and inserting data;
step S7.3: and (5) sorting and outputting the synchronous result.
The invention provides a quality inspection machine database synchronization-based iterative product quality detection system, which comprises the following modules:
an iterative product transport module: conveying the iterative products to a detection station;
the database updating synchronization module: aiming at iterative products, carrying out iterative update synchronization on the structure and data of the database of the industrial control quality inspection machine;
a quality detection module: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
Compared with the prior art, the invention has the following beneficial effects:
1. when the product is iterated, the invention can synchronously iterate and update the industrial control quality inspection machine, so that the industrial control quality inspection machine can carry out quality inspection on the iterated product, the adaptability of the quality inspection method of the product can be improved, manual operation is not needed, and the misoperation risk is reduced;
2. the invention solves the defects of large and small cell quality caused by misoperation and version replacement caused by missing operation caused by human factors of related operations of a database by a research and development team for a long time, and avoids human operations by carrying out structure comparison/synchronization or data comparison/synchronization through instruction; the complex flow of manually operating, synchronizing and backing up data and structures of an operation and maintenance tool or a DBA (Database Administrator) actually using the tool is reduced through the system, and Jenkins or other operation and maintenance tools can be accessed and called for operation through engineering deployment in the server, so that the operation and maintenance or DBA working efficiency is improved; the quality risk after version replacement is reduced;
3. according to the invention, through unified yaml format input and the dictionary format key value comparison technology of converting database information into the same format, more intuitive comparison information records are provided for related personnel, and the defects of strong examination and execution of other SQL work order platforms but difference comparison requirements among various environments are filled.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the concept of the invention. All falling within the scope of the present invention.
The embodiment of the invention discloses a quality inspection machine database synchronization-based iterative product quality detection method, which comprises the following steps of:
iterative product transportation step: and transporting the iterative products to a detection station.
And database updating and synchronizing: and aiming at iterative products, the structure and data of the database of the industrial control quality inspection machine are updated and synchronized in an iterative manner.
The database update synchronization step comprises the following steps:
reading the service information of the configuration file: and obtaining the database connection information by reading the operation and maintenance configuration.
And collecting demand information: and acquiring requirement information needing comparison or synchronization by inputting incoming or configuration behaviors.
Connecting the designated source and target databases: and selecting related components through the type of the database specified in the configuration to carry out database connection.
And (3) specifying a database table structure comparison step: and comparing the database table structures according to actual requirements, and outputting results with the same or different structures.
And a step of specifying database table structure synchronization: and carrying out database table structure modification synchronization according to actual requirements, and outputting a synchronized result.
And a step of specifying database table data comparison: and comparing the database table data according to actual requirements, and outputting results with the same or different structures.
And a step of specifying database table data synchronization: and synchronizing the database table data according to actual requirements, and outputting a synchronized result.
Specifically, the task comprises the following substeps:
1.1 The initialization system reads the operation and maintenance configuration yaml file.
1.2 And acquiring the connection information of the database server, and judging the format correctness of the content.
2.1 And recording related comparison or synchronous job tasks through the requirement information of the external input/read file.
2.2 And (5) sorting the required tasks and checking whether the contents are correct (whether the formats and the compared environments are consistent in type).
3.1 And selecting a component for reading and writing the database and a method thereof (mysql/Clickhouse/pgsql/Oracle) according to corresponding information.
And identifying corresponding database types according to the json converted by the yaml, and converting the json data into a selection and connection mode of respective database components by respectively corresponding respective database processing methods through type cutting. The input caliber is unified, and the subsequent expansibility is ensured.
3.2 And connecting the relevant comparison source database and the target database.
3.3 And judging the connected source database and target database before job processing according to the requirement.
4.1 And comparing the table of the target with the source table structure as a reference according to the task requirement.
4.2 And sorting and comparing the data and outputting the result.
5.1 And backing up the target table structure and the data statement which need to be synchronized.
5.2 And carrying out structure modification synchronization on the tables of the target by taking the source table structure as a reference according to task requirements.
5.3 And (5) sorting synchronous results and outputting the synchronous results in a classified manner.
And relatively managing disordered work orders of partial platforms, storing the program running log and the sql execution statements separately in order to facilitate operation and maintenance or DBA query execution statement records, and recording related sql structure change statements in a mode of generating one work order record through one-time yaml execution. And splitting the storage rule by a log (obj, prefix =:, msg _ type = normal/SQL) type, and inquiring SQL execution records under the relevant work order folder according to the work order number of the operation log for subsequent tracing. The function log is a general log output function, and obj is a character string input form, so that user-defined character input is supported. prefix is prefix function corresponding to DEBUG (debugging), NORMAL, LOGIC, WARNING, ERROR, and is responsible for distinguishing log prefix and console character color. msg _ type is used to distinguish whether information is a NORMAL log or an executable SQL statement (a type of executable database statement), NORMAL is selected by default, and when the SQL statement is recorded, SQL is switched to. When the method is used for actual implementation, the method is used for quickly searching logs and positioning SQL reasons, or providing basis for manual analysis or intervention in case of emergency problems, and stability guarantee is provided for tools.
6.1 And comparing the target table by taking the source table data as a reference according to the task requirement.
6.2 And sorting the comparison data and outputting a result.
Aiming at the characteristic difficulties such as date functions in respective databases, the components are called to be converted into a universal, readable and recognizable character string output form according to the recognized information in 3.1. Such as psypog 2.Extensions in pgsql.
7.1 And backing up the data sentences of the target table to be synchronized.
7.2 And cleaning the table of the target by taking the data of the source table as a reference according to the task requirement and inserting the data.
7.3 And sorting and outputting the synchronous results.
In order to facilitate operation and maintenance or DBA query execution statement recording, a program running log and an sql execution statement are stored separately, and related sql data change statements are recorded in a mode of generating one work order record through one yaml execution. For subsequent traceability. Here similar to 5.3.
And (3) quality detection: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
The embodiment of the invention also discloses a system for iterative product quality detection based on quality inspection machine database synchronization, which comprises the following modules:
an iterative product transport module: and transporting the iterative product to a detection station.
The database updating synchronization module: and aiming at iterative products, the structure and data of the database of the industrial control quality inspection machine are updated and synchronized in an iterative manner.
A quality detection module: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
The invention uses Python as a development language, uses Yaml (Yaml configuration analysis component), json (Json data format component), clickhouse _ driver (Clickhouse database operation component), psypg 2 (pgsql database operation component), mysqldb (mysql database operation component), cx _ Oracle (Oracle database operation component), compares or synchronizes the business databases in front of the development environment, the test environment, the pre-release environment and the production environment of a company, synchronizes the structure data, updates and upgrades the network function, is applied to a server and a database updating processing system in the intelligent manufacturing production, and realizes the automatic operation of unmanned manual and unmanned commands. According to the invention, through the comparison technical method of the rich diversity components and the uniform format of the python, the technical effect of more efficiently and transversely extending other database types is achieved.
The database is a warehouse for organizing, storing and managing data according to a data structure, is an organized, sharable and uniformly managed collection of a large amount of data stored in a computer for a long time, and a user can add, inquire, update, delete and the like to the data in a file. Due to misoperation caused by human factors of related operations of a database by a research and development team for a long time, the quality defect of great and small version replacement caused by missing operation is large, and the process of manually operating synchronization and backing up data and structures is complex. In actual production, products on the industrial control quality inspection machine side and the Web display side for detecting data have own databases, and real-time synchronization of data on two sides is achieved through a synchronization technology in the technology. In addition, when iterative database structure adjustment and initialized data adjustment occur in the product, the technology is also applied to synchronize the pre-published database structure and data to the production environment, so that manual operation is avoided, and the reliability of the product is improved.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
The foregoing description has described specific embodiments of the present invention. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (10)

1. A quality inspection machine database synchronization-based iterative product quality detection method is characterized by comprising the following steps:
iterative product transportation step: transporting the iterative product to a detection station;
and database updating and synchronizing: aiming at iterative products, carrying out iterative update synchronization on the structure and data of the database of the industrial control quality inspection machine;
quality detection: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
2. The method for iterative product quality inspection based on quality inspection machine database synchronization of claim 1, wherein said database update synchronization step comprises the steps of:
reading the service information of the configuration file: acquiring database connection information by reading operation and maintenance configuration;
and collecting demand information: acquiring requirement information needing comparison or synchronization from database connection information by inputting incoming or configuration behaviors;
connecting the designated source and target databases: according to the requirement information which needs to be compared or synchronized, selecting related components through the type of a database appointed in the configuration to carry out database connection;
and (3) specifying a database table structure comparison step: comparing database table structures according to actual requirements, and outputting results with the same or different structures;
and a step of specifying database table structure synchronization: carrying out database table structure modification synchronization according to actual requirements, and outputting a synchronized result;
and a step of specifying database table data comparison: comparing database table data according to actual requirements, and outputting results with the same or different structures;
and a step of specifying database table data synchronization: and synchronizing the database table data according to actual requirements, and outputting a synchronized result.
3. The method for iterative product quality inspection based on quality inspector database synchronization of claim 2, wherein said step of reading profile service information comprises the steps of:
step S1.1: an initialization system reads an operation and maintenance configuration yaml file;
step S1.2: and acquiring the connection information of the database server according to the configured yaml file, and judging the format correctness of the content.
4. The method for iterative product quality inspection based on quality inspector database synchronization of claim 2, wherein said collecting requirement information step comprises the steps of:
step S2.1: recording related comparison or synchronous operation tasks through the requirement information of an external input or read file;
step S2.2: and (5) sorting the required tasks and checking whether the content is correct.
5. The method for iterative product quality inspection based on quality inspector database synchronization of claim 2 wherein said step of connecting specified source and target databases comprises the steps of:
step S3.1: selecting components and methods for reading and writing the database according to corresponding information in the job task;
step S3.2: connecting a related comparison source database and a target database;
step S3.3: and judging the connected source database and target database before job processing according to the requirement.
6. The quality inspection machine database synchronization-based iterative product quality inspection method of claim 2, wherein the step of comparing the specified database table structures comprises the steps of:
step S4.1: comparing the tables of the targets by taking the source table structure as a reference according to the task requirements;
step S4.2: and sorting and comparing the data and outputting the result.
7. The method for iterative product quality inspection based on quality inspection machine database synchronization of claim 2, wherein the step of specifying database table structure synchronization comprises the steps of:
step S5.1: backing up a target table structure and data sentences which need to be synchronized;
step S5.2: performing structure modification synchronization on a table of a target by taking a source table structure as a reference according to task requirements;
step S5.3: and (5) sorting and outputting the synchronous result.
8. The quality inspection machine database synchronization-based iterative product quality inspection method of claim 2, wherein the database table-specific data comparison step comprises the steps of:
step S6.1: comparing the target tables by taking the source table data as a reference according to the task requirements;
step S6.2: and sorting and comparing the data and outputting the result.
9. The quality inspector database synchronization-based iterative product quality inspection method of claim 2, wherein said step of specifying database table data synchronization comprises the steps of:
step S7.1: backing up target table data statements to be synchronized;
step S7.2: according to task requirements, cleaning a target table by taking source table data as a reference and inserting data;
step S7.3: and (5) sorting and outputting the synchronous result.
10. A system for iterative product quality detection based on quality inspection machine database synchronization is characterized by comprising the following modules:
an iterative product transport module: conveying the iterative products to a detection station;
the database updating synchronization module: aiming at iterative products, carrying out iterative update synchronization on the structure and data of the database of the industrial control quality inspection machine;
a quality detection module: and carrying out quality detection on the iterative product through the iteratively updated industrial control quality inspection machine.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200159703A1 (en) * 2018-11-16 2020-05-21 Amadeus S.A.S. Iterative data processing
CN111367893A (en) * 2020-03-31 2020-07-03 中国建设银行股份有限公司 Method and device for database version iteration
CN112162992A (en) * 2020-10-12 2021-01-01 浪潮软件集团有限公司 Efficient database updating system and method
CN112700436A (en) * 2021-01-13 2021-04-23 上海微亿智造科技有限公司 Method, system and medium for improving iteration of industrial quality inspection model

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200159703A1 (en) * 2018-11-16 2020-05-21 Amadeus S.A.S. Iterative data processing
CN111367893A (en) * 2020-03-31 2020-07-03 中国建设银行股份有限公司 Method and device for database version iteration
CN112162992A (en) * 2020-10-12 2021-01-01 浪潮软件集团有限公司 Efficient database updating system and method
CN112700436A (en) * 2021-01-13 2021-04-23 上海微亿智造科技有限公司 Method, system and medium for improving iteration of industrial quality inspection model

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