Search

CN-122019498-A - Database optimization method, device, equipment and medium

CN122019498ACN 122019498 ACN122019498 ACN 122019498ACN-122019498-A

Abstract

The present application relates to the field of automatic database optimization technologies, and in particular, to a method, an apparatus, a device, and a medium for database optimization. According to the method, a current product model testing task and information are firstly obtained and analyzed to obtain analysis data, a current feature description is generated by combining a standard template and marked as a feature tag, a first molding parameter is matched in a process database according to the tag, model testing data is generated for the product model testing, whether the model testing data is within a standard data error range is analyzed, if not, the parameters are regulated according to a molding rule, the model testing is conducted again until the model testing data reaches the standard, updated parameters are obtained, and finally the process database is updated by the updated parameters.

Inventors

  • ZHANG MINGZHEN

Assignees

  • 深圳模德宝科技有限公司

Dates

Publication Date
20260512
Application Date
20251225

Claims (10)

  1. 1. A method of database optimization, comprising: Acquiring a test model task and current product information of a current product, analyzing the current product information to obtain analysis data, generating a current feature description of the current product according to the analysis data and a preset standard template, and performing marking operation according to the current feature description to obtain a current feature tag corresponding to any current feature description; according to the current characteristic tag, carrying out data matching in a process database to obtain a first molding parameter for injection molding of the current product, wherein the process database at least comprises the existing product information, a second molding parameter of the mapping relation between the existing product and the product molding parameter and equipment parameter information for injection molding of the existing product; According to the first molding parameters, performing mold testing operation on a current product to generate product mold testing data of the current product, analyzing whether the product mold testing data are in an error range of preset standard data, and if not, adjusting the first molding parameters according to molding rules of the current product to obtain adjusted first molding parameters; And returning to the step of generating the product test data of the current product, namely performing test operation on the current product according to the first molding parameters, generating the product test data of the current product until the product test data is positioned in the error range, obtaining updated first molding parameters, and updating original data in the process database by using the updated first molding parameters to obtain an optimized process database.
  2. 2. The database optimization method of claim 1 wherein the process database formation comprises: Analyzing the existing product information to obtain existing product data, generating the existing characteristic description of the existing product according to the existing product data by combining the standard template, and generating a second molding parameter containing the mapping relation between the existing product and the molding parameter of the product according to the existing characteristic description; setting equipment parameter information of injection equipment according to the second molding parameters, and constructing an equipment database containing a mapping relation between the second molding parameters and the equipment parameter information; And carrying out feature labeling on the existing product information to obtain an existing feature tag of the existing product, and storing the existing feature tag, the existing feature description, the second molding parameters and the equipment database to form a process database.
  3. 3. The database optimization method according to claim 2, wherein the setting the equipment parameter information of the injection molding equipment according to the second molding parameter, and constructing the equipment database including the mapping relationship between the second molding parameter and the equipment parameter information, comprises: Obtaining a mold testing parameter of injection equipment when the existing product is subjected to mold testing operation, and storing the mold testing parameter to obtain a mold testing data reference library; And according to the second molding parameters, information selection is carried out in the test model data reference library, equipment parameter information of the existing product is determined, and an equipment database containing the mapping relation between the second molding parameters and the equipment parameter information is constructed.
  4. 4. The database optimization method according to claim 2, wherein the performing data matching in a process database according to the current feature tag to obtain a first molding parameter for injection molding the current product comprises: according to the current characteristic label, similarity calculation is carried out in the process database, and a similarity calculation result is obtained; And according to the similarity calculation result, carrying out data screening in the process database to obtain process data matched with the current product and taking the process data as the first forming parameter.
  5. 5. The method for optimizing a database according to claim 4, wherein the performing similarity calculation in the process database according to the current feature tag to obtain a similarity calculation result includes: Determining the current tag weight of the current feature tag according to the current feature description, and determining the existing tag weight of any existing feature tag according to the existing feature description; And carrying out weight addition calculation on the current tag weight and the existing tag weight to obtain a similarity calculation result.
  6. 6. The database optimization method according to claim 1, wherein the performing a mold test operation on a current product according to the first molding parameters, generating product mold test data of the current product, analyzing whether the product mold test data is within an error range of preset standard data, and if not, adjusting the first molding parameters according to a molding rule of the current product, to obtain adjusted first molding parameters, including: Extracting image information in the product test model data, determining pixel information according to the image information, and generating product vector data according to the pixel information; Comparing the product vector data with preset standard vector data, and analyzing whether the current product model test data is in the error range of the preset standard data; And if the first molding parameters are not in the error range, adjusting the first molding parameters according to the molding rule of the current product to obtain the adjusted first molding parameters.
  7. 7. The database optimization method of claim 1, further comprising, after the updated first molding parameters: Traversing the process database, and if the process database contains the product forming parameters of the current product, screening the updated first forming parameters and the forming parameters of the current product according to the error range to obtain screened target parameters; and updating the original data in the process database by the target parameters to obtain an optimized process database.
  8. 8. A database optimizing apparatus, comprising: the analysis module is used for acquiring a test mode task of a current product and current product information, analyzing the current product information to obtain analysis data, generating a current feature description of the current product according to the analysis data and a preset standard template, and performing marking operation according to the current feature description to obtain a current feature tag corresponding to any current feature description; the data mapping module is used for carrying out data matching in a process database according to the current characteristic tag to obtain a first molding parameter for injection molding of the current product, and the process database at least comprises the existing product information, a second molding parameter of the mapping relation between the existing product and the product molding parameter and equipment parameter information for injection molding of the existing product; The parameter adjusting module is used for performing mold testing operation on the current product according to the first molding parameters, generating product mold testing data of the current product, analyzing whether the product mold testing data are in an error range of preset standard data, and adjusting the first molding parameters according to the molding rules of the current product if the product mold testing data are not in the error range, so as to obtain adjusted first molding parameters; And the database optimization module is used for returning to execute the step of generating the product test model data of the current product, namely, the step of performing test model operation on the current product according to the first molding parameters, generating the product test model data of the current product until the product test model data is positioned in the error range, obtaining updated first molding parameters, and updating original data in the process database by using the updated first molding parameters to obtain an optimized process database.
  9. 9. A computer device, characterized in that it comprises a processor, a memory and a computer program stored in the memory and executable on the processor, which processor implements the database optimization method according to any one of claims 1 to 7 when executing the computer program.
  10. 10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the database optimization method according to any one of claims 1 to 7.

Description

Database optimization method, device, equipment and medium Technical Field The present application relates to the field of automatic database optimization technologies, and in particular, to a method, an apparatus, a device, and a medium for database optimization. Background In modern manufacturing, injection molding is widely used as a widely used manufacturing process for producing various plastic products, however, the current injection molding manufacturing technology still has a plurality of defects. Conventional production modes are highly dependent on the experience of the skilled person to determine the process parameters. Before the production of the product, technicians generally set the technological parameter range corresponding to the size, appearance and functional requirements of the injection molding product according to the production experience of the similar product, and the parameter data support of the system is lacked, so that the accuracy of parameter setting is difficult to ensure. For a mold design link, when a designer performs mold design, the generated mold structure, size and other design data are usually only stored in a local or single system of a design end, and cannot be shared with a subsequent injection molding production link. In the die flow analysis stage, the simulated melt flow speed, the simulated molding temperature, the simulated molding pressure and other molding parameters are also stored independently, and are difficult to be effectively associated with the die design data, so that the early design and analysis data cannot be fully utilized in the subsequent production process to optimize the production parameters. In the processes of mold testing and production, the mold testing parameters (such as injection pressure and initial value of dwell time) generated by the operation of the injection molding machine, the real-time parameters (such as cooling time and mold temperature change data) in the production process and the like mostly depend on manual recording or a simple equipment local storage mode. Because of the lack of a unified communication and data acquisition mechanism, these parameter data are difficult to quickly and accurately summarize, and cannot form effective data accumulation. When a new model test task is needed, a technician can only find parameters again by experience, or spends a great deal of time searching historical data scattered in each link and each system, so that the efficiency is low, and parameter setting is unreasonable due to incomplete data or searching errors. Because of no system analysis tool based on historical data, parameter adjustment is blind, and each adjustment needs to be performed again, so that a large amount of manpower, material resources and time cost are consumed. Meanwhile, data among different links (design, analysis and production) cannot be smoothly circulated, so that the cross-department communication cost is high, the cooperative efficiency of each link is low, the integral optimization of the injection molding process is difficult to realize, and the production quality and the production efficiency of injection products are seriously influenced. Therefore, how to optimize the process database to obtain more accurate product molding parameters, so as to improve the success rate and quality of product mold test is a problem to be solved urgently. Disclosure of Invention In view of the above, the embodiments of the present application provide a method, an apparatus, a device, and a medium for optimizing a database, so as to solve the problem of how to optimize a process database to obtain more accurate product molding parameters, thereby improving the success rate and quality of product mold testing. In a first aspect, an embodiment of the present application provides a database optimization method, including: Acquiring a test model task and current product information of a current product, analyzing the current product information to obtain analysis data, generating a current feature description of the current product according to the analysis data and a preset standard template, and performing marking operation according to the current feature description to obtain a current feature tag corresponding to any current feature description; according to the current characteristic tag, carrying out data matching in a process database to obtain a first molding parameter for injection molding of the current product, wherein the process database at least comprises the existing product information, a second molding parameter of the mapping relation between the existing product and the product molding parameter and equipment parameter information for injection molding of the existing product; According to the first molding parameters, performing mold testing operation on a current product to generate product mold testing data of the current product, analyzing whether the product mold testing data are in an error ra