CN118010953A - Intelligent test method and system for metal structure manufacturing - Google Patents
Intelligent test method and system for metal structure manufacturing Download PDFInfo
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- 238000011056 performance test Methods 0.000 claims abstract description 109
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- 230000001066 destructive effect Effects 0.000 claims description 17
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Abstract
The invention discloses an intelligent test method and system for manufacturing a metal structure, and relates to the technical field of structure test, wherein the method comprises the following steps: obtaining a target batch of metal structural components; dividing to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components; dividing the component operation environment information to obtain multi-stage test environment information with multi-stage test environment weight identification; performing nondestructive testing analysis, mechanical performance testing analysis and environmental adaptability testing analysis based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain component nondestructive testing analysis results, component mechanical performance testing analysis results and component environmental adaptability testing analysis results; and generating a metal component test report according to the component nondestructive test analysis result, the component mechanical performance test analysis result and the component environmental adaptability test analysis result. Thereby realizing the technical effects of improving the test response and the accuracy of the test result.
Description
Technical Field
The invention relates to the technical field of structure testing, in particular to an intelligent testing method and system for manufacturing a metal structure.
Background
A metallic structural member is a member made of metallic material that is commonly used to connect, support, and secure different components. The metal structural member can be in various shapes and sizes, such as a screw, a gasket, a retaining ring, a screw and the like, and is widely applied to the production and the manufacture of various industrial products.
In the field of metal structure fabrication, quality control and testing are key steps in ensuring that products meet standards and requirements. The existing test method generally depends on manual inspection and monitoring and measuring tools with isolated dimensions, and has the technical problems of low test efficiency and low test result confidence.
Disclosure of Invention
The invention provides an intelligent test method and system for manufacturing a metal structure, which are used for solving the technical problems of low test efficiency and low test result confidence in the prior art and realizing the technical effects of improving test responsiveness and test result accuracy.
In a first aspect, the present invention provides an intelligent test method for metal structure fabrication, wherein the method comprises:
Obtaining a target batch of metal structural components according to a metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme;
Dividing the target batch of metal structural components according to a predetermined division weight to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
Obtaining part operation environment information of the target batch of metal structural parts, and dividing the part operation environment information to obtain multi-stage test environment information with multi-stage test environment weight identifiers;
Performing nondestructive testing analysis on the first group of metal structural parts based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component nondestructive testing analysis result;
Performing mechanical performance test analysis on the second group of metal structural components based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a component mechanical performance test analysis result;
Performing environmental adaptability test analysis on the third group of metal structural components according to the multidimensional environmental adaptability test indexes to obtain a component environmental adaptability test analysis result;
and generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
In a second aspect, the present invention also provides an intelligent test system for the manufacture of metal structures, wherein the system comprises:
The batch component acquisition module is used for acquiring a target batch of metal structural components according to the metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme;
The sample dividing module is used for dividing the target batch of metal structural components according to preset dividing weights to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
The scene extraction module is used for obtaining the part operation environment information of the target batch of metal structural parts, dividing the part operation environment information and obtaining multi-stage test environment information with multi-stage test environment weight identification;
The nondestructive testing module is used for performing nondestructive testing analysis on the first group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain component nondestructive testing analysis results;
The mechanical performance testing module is used for carrying out mechanical performance testing analysis on the second group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component mechanical performance testing analysis result;
the adaptability test module is used for carrying out environment adaptability test analysis on the third group of metal structural components according to the multidimensional environment adaptability test indexes to obtain a component environment adaptability test analysis result;
And the comprehensive report output module is used for generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
The invention discloses an intelligent test method and system for manufacturing a metal structure, comprising the following steps: obtaining a target batch of metal structural components according to a metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme; dividing the target batch of metal structural components according to a preset dividing weight to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components; obtaining part operation environment information of a target batch of metal structural parts, dividing the part operation environment information, and obtaining multi-stage test environment information with multi-stage test environment weight identification; performing nondestructive testing analysis on the first group of metal structural parts based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a nondestructive testing analysis result of the component; performing mechanical performance test analysis on the second group of metal structural components based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a component mechanical performance test analysis result; performing environmental adaptability test analysis on the third group of metal structural components according to the multidimensional environmental adaptability test indexes to obtain a component environmental adaptability test analysis result; and generating a metal component test report according to the component nondestructive test analysis result, the component mechanical performance test analysis result and the component environmental adaptability test analysis result. The intelligent test method and the intelligent test system for manufacturing the metal structure solve the technical problems of low test efficiency and low test result confidence, and realize the technical effects of improving test responsiveness and test result accuracy.
Drawings
FIG. 1 is a flow chart of the intelligent test method for manufacturing a metal structure according to the present invention.
FIG. 2 is a schematic diagram of a smart test system for metal structure fabrication according to the present invention.
Detailed Description
The technical scheme provided by the embodiment of the invention aims to solve the technical problems of low test efficiency and low test result confidence in the prior art, and adopts the following overall thought:
First, a target lot of metal structural parts, including a plurality of metal structural parts having the same production process recipe, is obtained from a metal structural manufacturing module. Next, the target lot of metal structural parts are partitioned according to a predetermined partitioning weight, obtaining a first set of metal structural parts, a second set of metal structural parts, and a third set of metal structural parts. Then, the component operation environment information of the target batch of metal structural components is obtained, and is divided to obtain multi-stage test environment information with multi-stage test environment weight identification. And carrying out nondestructive testing analysis on the first group of metal structural components based on the multistage testing environment weight identification and the multistage testing environment information to obtain a nondestructive testing analysis result of the component. And then carrying out mechanical performance test analysis on the second group of metal structural components according to the multi-stage test environment weight identification and the multi-stage test environment information to obtain a mechanical performance test analysis result of the component. And then, carrying out environmental suitability test analysis on the third group of metal structural components according to the multidimensional environmental suitability test index to obtain a component environmental suitability test analysis result. And finally, generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
The foregoing aspects will be better understood by reference to the following detailed description of the invention taken in conjunction with the accompanying drawings and detailed description. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments used only to explain the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention. It should be noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1
FIG. 1 is a flow chart of an intelligent test method for manufacturing a metal structure according to the present invention; wherein, include:
Obtaining a target batch of metal structural components according to a metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme;
The metal structure manufacturing module refers to a module or a system for manufacturing a metal structural component, and may include machining equipment, a 3D printer, a numerical control machine tool and the like. The target lot of metal structural parts is a lot of metal structural parts obtained from a metal structural manufacturing module having the same production process scheme, in other words, a plurality of metal structural parts of the target lot of metal structural parts are manufactured using the same manufacturing process and parameters. And multiple metal structural components have consistent quality and performance expectations.
Dividing the target batch of metal structural components according to a predetermined division weight to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
Optionally, the predetermined split weights are determined based on the metal component test dimensions, specifying split ratios of the first, second, and third sets of metal structural components. Specifically, the predetermined division weight is determined by analyzing the demand data such as the test task book of the metal structural component of the target batch, the test dimension with higher control priority has higher division weight, and the corresponding division group body quantity is correspondingly larger, that is, the test sample is richer, so that the test sample distribution based on the demand priority is realized.
And obtaining the component operation environment information of the target batch of metal structural components, and dividing the component operation environment information to obtain multi-stage test environment information with multi-stage test environment weight identification.
Optionally, the part operation environment information of the target lot of metal structural parts is divided to obtain multi-stage test environment information with multi-stage test environment weight identifiers, wherein different test environment information has different test environment weight identifiers, and the worse the test environment information is, the larger the corresponding test environment weight identifiers are.
Optionally, the multi-level test environment weight identification is used to mark the severity and importance of the reflected test environment information. Specifically, the test environment is classified and identified according to different characteristics and influence degrees of the environment. For example, for the test environment of a metal structural component, factors related to temperature, humidity, corrosiveness and the like, the influence degree of different environmental features on the component can be different, and further, the environmental features of different levels are distinguished and identified through multi-level test environment weight identification.
Performing nondestructive testing analysis on the first group of metal structural parts based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component nondestructive testing analysis result;
in some embodiments, performing a non-destructive testing analysis of the first set of metal structural components based on the multi-level testing environment weight identification and the multi-level testing environment information to obtain component non-destructive testing analysis results, comprising:
Dividing the first group of metal structural parts based on the multi-stage test environment information to obtain a plurality of component nondestructive test groups;
Based on the multi-stage testing environment information, carrying out nondestructive testing on the plurality of component nondestructive testing groups according to a nondestructive testing device to generate a plurality of component nondestructive testing data sets, wherein each component nondestructive testing data set comprises a plurality of component nondestructive testing data corresponding to each component nondestructive testing group;
Analyzing the plurality of component nondestructive testing data sets based on a nondestructive testing analyzer to obtain a plurality of environmental component nondestructive testing coefficients;
Weighting and calculating the nondestructive testing coefficients of the plurality of environmental components based on the multistage testing environment weight identification to generate nondestructive performance coefficients of the components;
Performing standard deviation calculation based on the plurality of environment component nondestructive testing coefficients to generate component nondestructive discrete coefficients;
and adding the component non-destructive power coefficient and the component non-destructive discrete coefficient to the component non-destructive testing analysis result.
Optionally, the first set of metal structural components is partitioned into different non-destructive testing sets, each set corresponding to a set of similar test environmental conditions. Such partitioning facilitates non-destructive testing under similar environmental conditions, improving testing efficiency and accuracy.
Optionally, the components are divided into different nondestructive testing groups based on the multi-stage testing environment weight identifiers of the multi-stage testing environment information, and the larger the capacity of the nondestructive testing group corresponding to the testing environment information with higher weight identifiers. In other words, the test environment information with higher weight identification has higher guiding significance or represents the environment situation frequently experienced by the target metal structure, so that more test samples are distributed to the test environment information, accidental error interference caused by insufficient sample number is reduced, and the accuracy of the test result is ensured.
Optionally, traversing a plurality of metal structural components in the plurality of component nondestructive testing groups, and performing nondestructive evaluation to obtain a plurality of component nondestructive testing data sets corresponding to the plurality of component nondestructive testing groups. These data sets contain non-destructive inspection data conducted under different environmental conditions of the test, which facilitates analysis and comparison of non-destructive inspection results of the same metal component under different environmental conditions.
Non-destructive testing (Non-Destructive Testing, NDT) is a method of testing by detecting an object without affecting its use or compromising its structural integrity. For detecting and evaluating the quality and integrity of metal structural components. Exemplary include ultrasonic detection, radiation detection, magnetic particle detection, eddy current detection, magnetic detection.
Optionally, the component lossless performance coefficient is obtained through weighted calculation considering the multi-stage test environment weight identification; and the nondestructive testing and evaluation of the metal structural component under the whole environment are realized.
Alternatively, the standard deviation is calculated based on the non-destructive testing coefficients to obtain the non-destructive discrete coefficients of the component. And adding the non-destructive performance coefficient and the non-destructive discrete coefficient of the component to the non-destructive testing analysis result of the component. Wherein the lossless performance coefficient is used for quantized lossless performance of the evaluation member. Standard deviation and discrete coefficients can help determine the reliability and consistency of the nondestructive performance of the component. To be added to the results of the non-destructive testing analysis to provide a more comprehensive assessment and record.
In some implementations, analyzing the plurality of component non-destructive inspection data sets based on a non-destructive inspection analyzer to obtain a plurality of environmental component non-destructive inspection coefficients, comprising:
loading a sample member nondestructive testing data record and a sample member nondestructive testing coefficient record based on the big data;
Taking the sample component nondestructive testing data record as input data, taking the sample component nondestructive testing coefficient record as output supervision data, performing supervision learning on a deep convolutional neural network, and acquiring a testing analysis error coefficient when training is performed for preset times;
If the detection analysis error coefficient is smaller than a detection analysis error threshold value, generating the nondestructive testing analyzer;
traversing the plurality of component nondestructive testing data sets, and extracting a first component nondestructive testing data set;
inputting the first component nondestructive testing data set into the nondestructive testing analyzer to obtain a plurality of first component nondestructive testing coefficients;
and carrying out average value calculation on the plurality of first member nondestructive testing coefficients to generate first environment member nondestructive testing coefficients, and adding the first environment member nondestructive testing coefficients to the plurality of environment member nondestructive testing coefficients.
Illustratively, analyzing to obtain a plurality of environmental component nondestructive testing coefficients, firstly, loading nondestructive testing data records and nondestructive testing coefficient records of sample components; and then, performing supervised learning by using the loaded data, training the deep convolutional neural network, and acquiring detection analysis error coefficients when each preset training time is reached. The detection analysis error coefficient reflects the output performance of the deep convolutional neural network; if the detection analysis error coefficient is smaller than the detection analysis error threshold, the output performance of the deep convolutional neural network is indicated to meet the preset analysis error control requirement, and the deep convolutional neural network is stored as a nondestructive testing analyzer. Then, the nondestructive testing data set of the plurality of components is traversed, the nondestructive testing data set of the first component is extracted, and the nondestructive testing data set is input into a nondestructive testing analyzer to obtain nondestructive testing coefficients of the plurality of first components. And then, carrying out average value calculation on the nondestructive testing coefficients of the plurality of first components to generate nondestructive testing coefficients of the first environment components, and adding the nondestructive testing coefficients to the nondestructive testing coefficients of the plurality of environment components.
The method steps in the implementation mode realize the analysis and the processing of nondestructive testing data by training the neural network through a deep learning method, and finally obtain the nondestructive testing coefficient of the component. The end-to-end, efficient and convenient nondestructive testing data analysis and processing path is provided.
Performing mechanical performance test analysis on the second group of metal structural components based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a component mechanical performance test analysis result;
in some embodiments, performing a mechanical performance test analysis on the second set of metal structural components based on the multi-level test environment weight identification and the multi-level test environment information to obtain component mechanical performance test analysis results, comprising:
loading a multi-dimensional mechanical property test index, wherein the multi-dimensional mechanical property test index comprises one or more of tensile strength, yield strength, impact toughness, fatigue strength, elongation and hardness;
Performing weight configuration based on the multi-dimensional mechanical performance test indexes to generate multi-stage mechanical performance test index weights;
Dividing the second group of metal structural parts according to the multi-level mechanical performance test index weight to obtain a plurality of mechanical index member test groups corresponding to the multi-dimensional mechanical performance test indexes;
Based on the multi-level test environment weight identification and the multi-level test environment information, respectively carrying out test analysis on the plurality of mechanical index member test groups according to the multi-dimensional mechanical performance test indexes to obtain a plurality of index mechanical performance test coefficients;
Normalizing the plurality of index mechanical performance test coefficients to obtain a plurality of index mechanical performance test standard coefficients;
Weighting and calculating the multiple index mechanical performance test standard coefficients based on the multi-stage mechanical performance test index weight to generate a component comprehensive mechanical performance coefficient;
and adding the plurality of index mechanical property test standard coefficients and the component comprehensive mechanical property coefficient to the component mechanical property test analysis result.
That is, loading multidimensional mechanical performance test metrics means that these metrics are introduced into the system as input or reference data. To evaluate the mechanical properties of the material or component, in particular, the multi-dimensional mechanical property test index includes the performance, strength, toughness, durability, etc. of the material or component under stress. Wherein, tensile strength refers to the maximum bearing capacity of a material under a tensile condition, yield strength refers to the stress level of the material which starts to generate plastic deformation, impact toughness refers to the anti-damage capacity of the material under impact load, fatigue strength refers to the durability of the material under repeated loading, elongation refers to the extensible degree of the material in the tensile process, and hardness refers to the scratch or deformation resistance of the material. Through the acquisition and loading of the multi-dimensional mechanical performance test indexes, the test dimension for carrying out mechanical performance test analysis on the target metal structural component is determined.
Optionally, performing weight configuration based on the importance degree of the multi-dimensional mechanical performance test index to generate multi-stage mechanical performance test index weight; the multi-stage mechanical performance test index weight is used for dividing the second group of metal structural components, so that a plurality of mechanical index component test groups corresponding to the multi-dimensional mechanical performance test indexes are obtained, and the number of samples of the test groups of the important mechanical performance test indexes is large;
and carrying out normalization processing on the acquired mechanical performance test coefficients of the multiple indexes, and unifying the test results of the multiple indexes into a standard range to acquire the mechanical performance test standard coefficients of the multiple indexes, so that subsequent comprehensive evaluation is facilitated.
And carrying out weighted calculation on the multiple index mechanical performance test standard coefficients based on the multi-stage mechanical performance test index weight to generate the comprehensive mechanical performance coefficient of the component. By taking into account the importance of the respective index in the mechanical properties of the component, a comprehensive evaluation result is obtained.
In some implementations, based on the multi-level test environment weight identification and the multi-level test environment information, respectively performing test analysis on the plurality of mechanical index member test groups according to the multi-dimensional mechanical performance test indexes to obtain a plurality of index mechanical performance test coefficients, including:
Traversing the multi-dimensional mechanical performance test indexes and the mechanical index member test groups, extracting a first mechanical performance test index and a first mechanical index member test group corresponding to the first mechanical performance test index;
Performing test scheme configuration based on the multi-stage test environment information and the first mechanical performance test indexes to generate a plurality of first index scene test schemes;
Testing the first mechanical index member test set based on the plurality of first index scene test schemes to obtain a plurality of first index scene test results;
Performing the same-test environment set median calculation based on the plurality of first index scene test results to generate a plurality of environment first index performance test coefficients;
And carrying out weighted calculation on the first index performance test coefficients of the environments according to the multi-stage test environment weight identification, generating a first index mechanical performance test coefficient, and adding the first index mechanical performance test coefficient to the plurality of index mechanical performance test coefficients.
Alternatively, first, a multi-dimensional mechanical performance test index and a mechanical index component test set are traversed, a first mechanical performance test index and a corresponding first mechanical index component test set are extracted, and a first mechanical performance index to be tested and a corresponding test set are selected. And then, configuring a test scheme based on the multi-stage test environment information and the first mechanical performance test indexes to generate a plurality of first index scene test schemes. For determining the specific protocol and conditions of the test. And then, testing the first mechanical index member test group based on a plurality of first index scene test schemes to obtain test data. And then, calculating the value in the same test environment set according to the test results of the plurality of first index scenes to generate a plurality of environment first index performance test coefficients. The same test environment set value refers to a typical value or average value of mechanical performance test indexes under the same test environment. This value may reflect the general level of mechanical performance index under the same test conditions, enabling performance assessment of the component under the test environment.
Further, weighting calculation is carried out on the first index performance test coefficients of the environments according to the multi-level test environment weight identification, and the first index mechanical performance test coefficients are generated. The first index mechanical performance test coefficient takes environmental factors into consideration to obtain a final mechanical performance coefficient.
Performing environmental adaptability test analysis on the third group of metal structural components according to the multidimensional environmental adaptability test indexes to obtain a component environmental adaptability test analysis result;
in some embodiments, performing an environmental suitability test analysis on the third set of metal structural components according to a multi-dimensional environmental suitability test index to obtain component environmental suitability test analysis results, comprising:
Performing weight configuration based on the multi-dimensional environment adaptability test index to generate multi-level environment adaptability test index weight, wherein the multi-dimensional environment adaptability test index comprises one or more of corrosion resistance, high temperature resistance, low temperature resistance and weather resistance;
dividing the third group of metal structural components according to the multi-level environment adaptability test index weight to obtain a plurality of environment adaptability index component test groups corresponding to the multi-dimensional environment adaptability test indexes;
Constructing a plurality of environment adaptability test schemes according to the multi-dimensional environment adaptability test indexes, and testing a plurality of environment adaptability index component test groups according to the environment adaptability test schemes to obtain a plurality of index environment adaptability test coefficients;
Carrying out normalization processing based on the index environment adaptability test coefficients to obtain index environment adaptability test standard coefficients;
Weighting and calculating the plurality of index environment adaptability test standard coefficients based on the multi-level environment adaptability test index weight to generate a component comprehensive environment adaptability coefficient;
and adding the plurality of index environment adaptability test standard coefficients and the component comprehensive environment adaptability coefficient to the component environment adaptability test analysis result.
It should be understood that the weight configuration is performed based on the multidimensional environment adaptability test index, the metal structural component is divided, a plurality of environment adaptability test schemes are constructed, the test is completed to obtain test data, the normalization processing is performed on the test data, the comprehensive environment adaptability coefficient of the component is obtained through weighted calculation, the component environment adaptability test analysis result is generated, and the method principle which is consistent with the thought and similar to the method principle in the mechanical performance test analysis is adopted to generate the multi-level environment adaptability test index weight, so that further development and description are not performed for the sake of brevity of the specification.
Optionally, the multi-dimensional environmental suitability test index includes any one or a combination of any plurality of corrosion resistance, high temperature resistance, low temperature resistance and weather resistance; these indices are used to evaluate the suitability of a material or component under different environmental conditions. The selection of the multi-dimensional environmental suitability test index is based on the application requirements of the target metal structure.
And generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
In some embodiments, generating the metal component test report further comprises:
Predicting the performance of the metal component according to the production process scheme to generate a component performance prediction result, wherein the component performance prediction result comprises a component nondestructive performance prediction result, a component mechanical performance prediction result and a component environment adaptability prediction result;
Mapping and comparing the member performance prediction result with the metal member test report to obtain a member performance comparison result;
Performing performance deviation evaluation based on the component performance comparison result to generate a component performance deviation evaluation coefficient;
and adding the component performance comparison result and the component performance deviation evaluation coefficient to the metal component test report.
Optionally, the metal component test report further includes a component performance deviation evaluation coefficient, where the component performance deviation evaluation coefficient quantitatively reflects a difference between an expected performance corresponding to the production process scheme and a test performance of the metal component, and is used for helping to evaluate a degree of difference between a predicted result and an actual test result.
The method is realized by constructing a digital model, performing finite element analysis and the like. The component performance prediction results include a lossless performance prediction result, a mechanical performance prediction result and an environmental adaptability prediction result
In summary, the intelligent test method for manufacturing the metal structure provided by the invention has the following technical effects:
Obtaining a target batch of metal structural components by manufacturing modules according to the metal structure; dividing the target batch of metal structural components according to a preset dividing weight to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components; obtaining part operation environment information of a target batch of metal structural parts, dividing the part operation environment information, and obtaining multi-stage test environment information with multi-stage test environment weight identification; performing nondestructive testing analysis on the first group of metal structural parts based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a nondestructive testing analysis result of the component; performing mechanical performance test analysis on the second group of metal structural components based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a component mechanical performance test analysis result; performing environmental adaptability test analysis on the third group of metal structural components according to the multidimensional environmental adaptability test indexes to obtain a component environmental adaptability test analysis result; and generating a metal component test report according to the component nondestructive test analysis result, the component mechanical performance test analysis result and the component environmental adaptability test analysis result. The technical problems of low test efficiency and low test result confidence are solved, and the technical effects of improving test responsiveness and test result accuracy are realized.
Example two
FIG. 2 is a schematic diagram of the intelligent test system for metal structure fabrication of the present invention. For example, the flow diagram of the intelligent test method for metal structure fabrication of the present invention in fig. 1 can be implemented by the structure shown in fig. 2.
Based on the same conception as the intelligent test method for metal structure manufacturing in the embodiment, the intelligent test system for metal structure manufacturing further provided by the invention comprises:
a batch component obtaining module, configured to obtain a target batch of metal structural components according to a metal structure manufacturing module, where the target batch of metal structural components includes a plurality of metal structural components with the same production process scheme;
the sample dividing module is used for dividing the target batch of metal structural components according to preset dividing weights to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
the scene extraction module is used for obtaining the component operation environment information of the target batch of metal structural components, dividing the component operation environment information and obtaining multi-stage test environment information with multi-stage test environment weight identifiers;
The nondestructive testing module is used for performing nondestructive testing analysis on the first group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component nondestructive testing analysis result;
The mechanical performance testing module is used for carrying out mechanical performance testing analysis on the second group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component mechanical performance testing analysis result;
the adaptability test module is used for carrying out environment adaptability test analysis on the third group of metal structural components according to the multidimensional environment adaptability test indexes to obtain a component environment adaptability test analysis result;
and the comprehensive report output module is used for generating a metal component test report according to the component nondestructive test analysis result, the component mechanical performance test analysis result and the component environment adaptability test analysis result.
Further, the nondestructive testing module includes:
The grouping division unit is used for dividing the first group of metal structural components based on the multi-stage test environment information to obtain a plurality of component nondestructive test groups;
The nondestructive testing unit is used for carrying out nondestructive testing on the plurality of component nondestructive testing groups according to the nondestructive testing device based on the multistage testing environment information to generate a plurality of component nondestructive testing data sets, wherein each component nondestructive testing data set comprises a plurality of component nondestructive testing data corresponding to each component nondestructive testing group;
A nondestructive data analysis unit for analyzing the nondestructive detection data sets of the plurality of components based on a nondestructive test analyzer to obtain nondestructive detection coefficients of the plurality of environmental components;
the nondestructive performance computing unit is used for carrying out weighted computation on the nondestructive detection coefficients of the plurality of environmental components based on the multistage test environmental weight identification to generate the nondestructive performance coefficients of the components;
The discrete calculation unit is used for carrying out standard deviation calculation based on the plurality of environment component nondestructive testing coefficients to generate component nondestructive discrete coefficients;
and a nondestructive testing output unit for adding the component nondestructive performance coefficient and the component nondestructive discrete coefficient to the component nondestructive testing analysis result.
In some implementations, the non-destructive data analysis unit in the non-destructive testing module includes:
The sample extraction unit is used for loading a sample component nondestructive testing data record and a sample component nondestructive testing coefficient record based on big data;
The monitoring training unit is used for taking the sample component nondestructive testing data record as input data, taking the sample component nondestructive testing coefficient record as output monitoring data, performing monitoring learning on the deep convolutional neural network, and acquiring a testing analysis error coefficient when training is performed for preset times;
A nondestructive testing analyzer unit for generating the nondestructive testing analyzer if the detection analysis error coefficient is smaller than a detection analysis error threshold;
a data set extraction unit for traversing the plurality of component nondestructive testing data sets and extracting a first component nondestructive testing data set;
A traversal calculation unit, configured to input the first component nondestructive testing data set into the nondestructive testing analyzer, and obtain a plurality of first component nondestructive testing coefficients;
And the average value output unit is used for carrying out average value calculation on the plurality of first component nondestructive testing coefficients, generating first environment component nondestructive testing coefficients and adding the first environment component nondestructive testing coefficients to the plurality of environment component nondestructive testing coefficients.
Further, the mechanical performance test module includes:
An index definition unit for loading a multi-dimensional mechanical performance test index, wherein the multi-dimensional mechanical performance test index comprises one or more of tensile strength, yield strength, impact toughness, fatigue strength, elongation and hardness;
The mechanical performance index weight unit is used for carrying out weight configuration based on the multi-dimensional mechanical performance test index to generate multi-stage mechanical performance test index weight;
The multi-dimensional test group dividing unit is used for dividing the second group of metal structural components according to the multi-level mechanical performance test index weight to obtain a plurality of mechanical index component test groups corresponding to the multi-dimensional mechanical performance test indexes;
The mechanical performance test analysis unit is used for respectively carrying out test analysis on the plurality of mechanical index member test groups according to the multi-dimensional mechanical performance test indexes based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a plurality of index mechanical performance test coefficients;
The normalization unit is used for performing normalization processing based on the plurality of index mechanical performance test coefficients to obtain a plurality of index mechanical performance test standard coefficients;
the comprehensive mechanical performance unit is used for carrying out weighted calculation on the plurality of index mechanical performance test standard coefficients based on the multi-stage mechanical performance test index weight to generate a component comprehensive mechanical performance coefficient;
And the mechanical performance fusion output unit is used for adding the plurality of index mechanical performance test standard coefficients and the component comprehensive mechanical performance coefficient to the component mechanical performance test analysis result.
In some implementations, the mechanical property test analysis unit in the mechanical property test module includes:
The traversal extraction unit is used for traversing the multi-dimensional mechanical performance test indexes and the mechanical index component test groups, extracting a first mechanical performance test index and a first mechanical index component test group corresponding to the first mechanical performance test index;
The test scheme configuration unit is used for carrying out test scheme configuration based on the multi-stage test environment information and the first mechanical performance test indexes to generate a plurality of first index scene test schemes;
The test set test unit is used for testing the first mechanical index member test set based on the plurality of first index scene test schemes to obtain a plurality of first index scene test results;
the set median computing unit is used for performing set median computation of the same test environment based on the test results of the plurality of first index scenes to generate a plurality of environment first index performance test coefficients;
And the index mechanical performance test coefficient aggregation unit is used for carrying out weighted calculation on the first index mechanical performance test coefficients of the environments according to the multi-stage test environment weight identification, generating a first index mechanical performance test coefficient and adding the first index mechanical performance test coefficient to the index mechanical performance test coefficients.
Further, the adaptability test module includes:
The adaptive weight configuration unit is used for carrying out weight configuration based on the multi-dimensional environment adaptive test index to generate multi-level environment adaptive test index weights, wherein the multi-dimensional environment adaptive test index comprises one or more of corrosion resistance, high temperature resistance, low temperature resistance and weather resistance;
The multi-stage test group dividing unit is used for dividing the third group of metal structural components according to the multi-stage environment adaptability test index weight to obtain a plurality of environment adaptability index component test groups corresponding to the multi-dimensional environment adaptability test indexes;
The adaptability test unit is used for constructing a plurality of environment adaptability test schemes according to the multidimensional environment adaptability test indexes, and testing the plurality of environment adaptability index component test groups according to the plurality of environment adaptability test schemes to obtain a plurality of index environment adaptability test coefficients;
the adaptability normalization unit is used for carrying out normalization processing based on the plurality of index environment adaptability test coefficients to obtain a plurality of index environment adaptability test standard coefficients;
The adaptability test standard coefficient weighting unit is used for carrying out weighted calculation on the plurality of index environment adaptability test standard coefficients based on the multi-level environment adaptability test index weights to generate component comprehensive environment adaptability coefficients;
and the adaptability aggregation output unit is used for adding the plurality of index environment adaptability test standard coefficients and the component comprehensive environment adaptability coefficient to the component environment adaptability test analysis result.
Further, the comprehensive report output module includes:
The performance prediction unit is used for predicting the performance of the metal component according to the production process scheme and generating a component performance prediction result, wherein the component performance prediction result comprises a component nondestructive performance prediction result, a component mechanical performance prediction result and a component environment adaptability prediction result;
the performance comparison unit is used for mapping and comparing the member performance prediction result with the metal member test report to obtain a member performance comparison result;
the performance deviation evaluation unit is used for performing performance deviation evaluation based on the component performance comparison result to generate a component performance deviation evaluation coefficient;
And an additional evaluation unit for adding the component performance comparison result and the component performance deviation evaluation coefficient to the metal component test report.
It should be understood that the embodiments mentioned in this specification focus on the differences from other embodiments, and the specific embodiment in the first embodiment is equally applicable to the intelligent test system for metal structure manufacturing described in the second embodiment, and is not further developed herein for brevity of description.
It is to be understood that both the foregoing description and the embodiments of the present invention enable one skilled in the art to utilize the present invention. While the invention is not limited to the embodiments described above, it should be understood that: modifications of the technical solutions described in the foregoing embodiments or equivalent substitutions of some technical features thereof may be still performed by those skilled in the art; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (8)
1. An intelligent test method for metal structure fabrication, the method comprising:
Obtaining a target batch of metal structural components according to a metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme;
Dividing the target batch of metal structural components according to a predetermined division weight to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
Obtaining part operation environment information of the target batch of metal structural parts, and dividing the part operation environment information to obtain multi-stage test environment information with multi-stage test environment weight identifiers;
Performing nondestructive testing analysis on the first group of metal structural parts based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component nondestructive testing analysis result;
Performing mechanical performance test analysis on the second group of metal structural components based on the multi-stage test environment weight identification and the multi-stage test environment information to obtain a component mechanical performance test analysis result;
Performing environmental adaptability test analysis on the third group of metal structural components according to the multidimensional environmental adaptability test indexes to obtain a component environmental adaptability test analysis result;
and generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
2. The method of claim 1, wherein performing a non-destructive test analysis on the first set of metal structural components based on the multi-level test environment weight identification and the multi-level test environment information to obtain component non-destructive test analysis results comprises:
Dividing the first group of metal structural parts based on the multi-stage test environment information to obtain a plurality of component nondestructive test groups;
Based on the multi-stage testing environment information, carrying out nondestructive testing on the plurality of component nondestructive testing groups according to a nondestructive testing device to generate a plurality of component nondestructive testing data sets, wherein each component nondestructive testing data set comprises a plurality of component nondestructive testing data corresponding to each component nondestructive testing group;
Analyzing the plurality of component nondestructive testing data sets based on a nondestructive testing analyzer to obtain a plurality of environmental component nondestructive testing coefficients;
Weighting and calculating the nondestructive testing coefficients of the plurality of environmental components based on the multistage testing environment weight identification to generate nondestructive performance coefficients of the components;
Performing standard deviation calculation based on the plurality of environment component nondestructive testing coefficients to generate component nondestructive discrete coefficients;
and adding the component non-destructive power coefficient and the component non-destructive discrete coefficient to the component non-destructive testing analysis result.
3. The method of claim 2, wherein analyzing the plurality of component non-destructive inspection data sets based on a non-destructive testing analyzer to obtain a plurality of environmental component non-destructive inspection coefficients, comprises:
loading a sample member nondestructive testing data record and a sample member nondestructive testing coefficient record based on the big data;
Taking the sample component nondestructive testing data record as input data, taking the sample component nondestructive testing coefficient record as output supervision data, performing supervision learning on a deep convolutional neural network, and acquiring a testing analysis error coefficient when training is performed for preset times;
If the detection analysis error coefficient is smaller than a detection analysis error threshold value, generating the nondestructive testing analyzer;
traversing the plurality of component nondestructive testing data sets, and extracting a first component nondestructive testing data set;
inputting the first component nondestructive testing data set into the nondestructive testing analyzer to obtain a plurality of first component nondestructive testing coefficients;
and carrying out average value calculation on the plurality of first member nondestructive testing coefficients to generate first environment member nondestructive testing coefficients, and adding the first environment member nondestructive testing coefficients to the plurality of environment member nondestructive testing coefficients.
4. The method of claim 1, wherein performing a mechanical performance test analysis on the second set of metal structural components based on the multi-level test environment weight identification and the multi-level test environment information to obtain component mechanical performance test analysis results comprises:
loading a multi-dimensional mechanical property test index, wherein the multi-dimensional mechanical property test index comprises one or more of tensile strength, yield strength, impact toughness, fatigue strength, elongation and hardness;
Performing weight configuration based on the multi-dimensional mechanical performance test indexes to generate multi-stage mechanical performance test index weights;
Dividing the second group of metal structural parts according to the multi-level mechanical performance test index weight to obtain a plurality of mechanical index member test groups corresponding to the multi-dimensional mechanical performance test indexes;
Based on the multi-level test environment weight identification and the multi-level test environment information, respectively carrying out test analysis on the plurality of mechanical index member test groups according to the multi-dimensional mechanical performance test indexes to obtain a plurality of index mechanical performance test coefficients;
Normalizing the plurality of index mechanical performance test coefficients to obtain a plurality of index mechanical performance test standard coefficients;
Weighting and calculating the multiple index mechanical performance test standard coefficients based on the multi-stage mechanical performance test index weight to generate a component comprehensive mechanical performance coefficient;
and adding the plurality of index mechanical property test standard coefficients and the component comprehensive mechanical property coefficient to the component mechanical property test analysis result.
5. The method of claim 4, wherein based on the multi-level test environment weight identification and the multi-level test environment information, respectively performing test analysis on the plurality of mechanical index member test sets according to the multi-dimensional mechanical performance test index to obtain a plurality of index mechanical performance test coefficients, comprising:
Traversing the multi-dimensional mechanical performance test indexes and the mechanical index member test groups, extracting a first mechanical performance test index and a first mechanical index member test group corresponding to the first mechanical performance test index;
Performing test scheme configuration based on the multi-stage test environment information and the first mechanical performance test indexes to generate a plurality of first index scene test schemes;
Testing the first mechanical index member test set based on the plurality of first index scene test schemes to obtain a plurality of first index scene test results;
Performing the same-test environment set median calculation based on the plurality of first index scene test results to generate a plurality of environment first index performance test coefficients;
And carrying out weighted calculation on the first index performance test coefficients of the environments according to the multi-stage test environment weight identification, generating a first index mechanical performance test coefficient, and adding the first index mechanical performance test coefficient to the plurality of index mechanical performance test coefficients.
6. The method of claim 1, wherein performing an environmental suitability test analysis on the third set of metal structural components based on a multi-dimensional environmental suitability test index to obtain a component environmental suitability test analysis result, comprising:
Performing weight configuration based on the multi-dimensional environment adaptability test index to generate multi-level environment adaptability test index weight, wherein the multi-dimensional environment adaptability test index comprises one or more of corrosion resistance, high temperature resistance, low temperature resistance and weather resistance;
dividing the third group of metal structural components according to the multi-level environment adaptability test index weight to obtain a plurality of environment adaptability index component test groups corresponding to the multi-dimensional environment adaptability test indexes;
Constructing a plurality of environment adaptability test schemes according to the multi-dimensional environment adaptability test indexes, and testing a plurality of environment adaptability index component test groups according to the environment adaptability test schemes to obtain a plurality of index environment adaptability test coefficients;
Carrying out normalization processing based on the index environment adaptability test coefficients to obtain index environment adaptability test standard coefficients;
Weighting and calculating the plurality of index environment adaptability test standard coefficients based on the multi-level environment adaptability test index weight to generate a component comprehensive environment adaptability coefficient;
and adding the plurality of index environment adaptability test standard coefficients and the component comprehensive environment adaptability coefficient to the component environment adaptability test analysis result.
7. The method of claim 1, wherein generating a metal component test report further comprises:
Predicting the performance of the metal component according to the production process scheme to generate a component performance prediction result, wherein the component performance prediction result comprises a component nondestructive performance prediction result, a component mechanical performance prediction result and a component environment adaptability prediction result;
Mapping and comparing the member performance prediction result with the metal member test report to obtain a member performance comparison result;
Performing performance deviation evaluation based on the component performance comparison result to generate a component performance deviation evaluation coefficient;
and adding the component performance comparison result and the component performance deviation evaluation coefficient to the metal component test report.
8. An intelligent test system for the manufacture of metal structures, said system comprising:
The batch component acquisition module is used for acquiring a target batch of metal structural components according to the metal structure manufacturing module, wherein the target batch of metal structural components comprise a plurality of metal structural components with the same production process scheme;
The sample dividing module is used for dividing the target batch of metal structural components according to preset dividing weights to obtain a first group of metal structural components, a second group of metal structural components and a third group of metal structural components;
The scene extraction module is used for obtaining the part operation environment information of the target batch of metal structural parts, dividing the part operation environment information and obtaining multi-stage test environment information with multi-stage test environment weight identification;
The nondestructive testing module is used for performing nondestructive testing analysis on the first group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain component nondestructive testing analysis results;
The mechanical performance testing module is used for carrying out mechanical performance testing analysis on the second group of metal structural components based on the multi-stage testing environment weight identification and the multi-stage testing environment information to obtain a component mechanical performance testing analysis result;
the adaptability test module is used for carrying out environment adaptability test analysis on the third group of metal structural components according to the multidimensional environment adaptability test indexes to obtain a component environment adaptability test analysis result;
And the comprehensive report output module is used for generating a metal component test report according to the component nondestructive test analysis result, the component mechanical property test analysis result and the component environment adaptability test analysis result.
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