Intelligent testing method and system for metal structure manufacturing

Abstract

The invention discloses an intelligent test method and system for metal structure manufacturing, and relates to the technical field of metal structure testing. A holographic three-dimensional model of a standard metal structure is scanned and constructed, nodes are created for the holographic three-dimensional model and a test structure by constructing an environment configuration module, and a test result is obtained; a node offset is defined to create a test environment for the test structure; a performance definition module is constructed to define the preset performance of the test structure; the test structure is tested through the test module, and whether the test structure is qualified or not is judged by calculating information of nodes; performing node analysis on the unqualified test structure by constructing an analysis module, and judging design defects of the structure; the test structure is tested by constructing the holographic three-dimensional model of the standard metal structure, the test result is quantified by setting the nodes and observing the movement condition of the nodes, and the design defects of the structure are obtained by analyzing the unqualified test structure, so that the test problem of the metal structure is more intelligently solved.

Description

Technical Field

[0001] The present invention relates to the technical field of metal structure testing, and in particular to an intelligent testing method and system for metal structure manufacturing. Background Art

[0002] Metal structure testing is an important means to ensure the safety and reliability of metal structures. It plays a key role in the fields of construction, bridges, ships, aerospace, etc. In recent years, with the rapid development of technologies such as artificial intelligence, big data, and cloud computing, intelligent testing methods and systems for metal structure manufacturing have also made great progress.

[0003] These methods and systems have shown great advantages in improving testing efficiency, reducing costs, and improving product quality. However, existing intelligent testing methods have model limitations and data dependence, and require a large amount of data processing, resulting in low testing efficiency. Therefore, it is crucial to develop a highly efficient and model-independent intelligent metal structure testing method. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent testing method and system for metal structure manufacturing to solve the shortcomings of the background technology.

[0005] In order to achieve the above object, the present invention provides the following technical solution: an intelligent testing system for metal structure manufacturing, comprising: Holographic 3D module: Scans a standard metal structure to obtain a holographic 3D model of the standard metal structure, constructs a spatial coordinate system with the center point of the holographic 3D model, uses the holographic 3D model as a virtual test model, and uses the spatial coordinate system as a reference test frame to create virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; Environmental configuration module: Connected with the holographic 3D module, it defines the test metal structure as the test structure, places the test structure in the reference test frame, constructs the real nodes of the test structure at preset distances, including basic nodes, key nodes, and matching nodes, overlaps the virtual test model with the test structure, and defines the distance between the real node and the virtual node as the node offset; Performance definition module: connects with the environment configuration module to obtain the performance indicators of standard metal structures and define preset performance indicators based on the performance indicators; Testing module: connected with the performance definition module, it performs tests on the test structure, including non-destructive testing, performance testing, corrosion resistance testing and composite testing. Performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Analysis module: connected to the test module, analyzes the test structures that fail the performance test and corrosion resistance test, obtains analysis reports and modifies technical solutions.

[0006] In a preferred embodiment, the holographic three-dimensional module includes: Use structured light to scan a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure; A spatial coordinate system is constructed based on the center point of the holographic 3D model. The virtual nodes of the holographic 3D model include virtual basic nodes, virtual key nodes and virtual matching nodes. The virtual nodes are evenly filled with the entire holographic 3D model and the distances between adjacent virtual nodes are equal. The virtual nodes at the joints of the holographic 3D model structure are used as virtual key nodes, and the virtual nodes at the points where the volume of the holographic 3D model is divided into three equal parts are used as virtual matching nodes. The coordinates of the virtual nodes are obtained. , ,in is the number of virtual nodes; The holographic three-dimensional model is used as the virtual test model and the spatial coordinate system is used as the reference test frame.

[0007] In a preferred embodiment, the environment configuration module includes: Define the test metal structure as the test structure, place the test structure in the reference test frame, and construct the real nodes of the test structure, including basic nodes, key nodes, and matching nodes. The real nodes are evenly distributed throughout the test structure and the distances between adjacent real nodes are equal. The real nodes at the connection of the test structure are taken as key nodes, and the real nodes at the points where the volume of the test structure is divided into three equal parts are taken as matching nodes to obtain the coordinates of the real nodes. , ,in is the number of real nodes; Overlapping the virtual matching node and the matching node to make the test structure overlap with the virtual test model; The distance between the real node and the virtual node is defined as the node offset Including base node offset , key node offset , matching node offset , define the base node and matching node as non-key nodes, and the node offset of non-key nodes is ; The distance between the virtual basic node and the basic node is the basic node offset, the distance between the virtual key node and the key node is the key node offset, and the distance between the virtual matching node and the matching node is the matching node offset. Get the number of virtual nodes and the actual number of nodes , get the weight of the key node and the weights of non-critical nodes , where non-critical nodes include basic nodes and matching nodes, and the number of virtual nodes is defined and the actual number of nodes The ratio of the absolute value of the difference to the number of virtual nodes is the node loss rate, i.e. , ,in is the node loss rate.

[0008] In a preferred embodiment, the performance definition module includes: Obtain structural information of standard metal structures including dimensional parameters, chemical composition of metal, tensile strength, elongation, fatigue strength, hardness and corrosion resistance; Preset performance indicators are defined based on the structural information of the standard metal structure, including preset size parameters, preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, wherein the preset size parameters include preset node offsets and preset node loss rates.

[0009] In a preferred embodiment, the test module includes: Testing of the test structure placed in a reference test frame includes non-destructive testing, performance testing, and corrosion resistance testing; The steps of non-destructive testing are: obtaining the coordinates and number of real nodes and virtual nodes, calculating the node offset of the offset node , where the coordinates of the real nodes are , the coordinates of the virtual node are , and calculate the node loss rate ,like If the preset size parameters are met at the same time, it means that the test component has passed the non-destructive test; Construct a performance test and corrosion resistance test environment for the test structure that has passed the non-destructive test, conduct performance test and corrosion resistance test, and express the test results in quantitative form; Conduct composite tests on test structures that have passed performance tests and corrosion resistance tests to obtain the usage of test components in complex environments.

[0010] In a preferred embodiment, the steps of constructing a performance test and a corrosion resistance test environment, performing a performance test and a corrosion resistance test, and expressing the test results in a quantitative manner are as follows: Define the performance factor of the test structure node Including tensile strength performance factor , hardness performance factor , fatigue strength performance factor , corrosion resistance factor ; The tensile strength performance factor Including key node tensile strength performance factors and non-critical node tensile strength performance factors , hardness performance factor Including key node hardness performance factors and non-critical node hardness performance factors , fatigue strength performance factor Including key node fatigue strength performance factors and non-critical node fatigue strength performance factors , corrosion resistance factor Including corrosion resistance factors of key nodes and corrosion resistance factors of non-critical nodes ; Construct the environment for performance testing and corrosion resistance testing, including the tensile force and compressive force applied to the test structure, the frequency of repeated use of the test structure, and the coverage of corrosive substances; Define the tensile test result as Including tensile test results of key nodes and non-critical node tensile test results , define the hardness test results Including key node hardness test results and non-critical node hardness test results , define fatigue strength test results Including key node fatigue test results and non-critical node fatigue test results , defining the corrosion resistance test results Including corrosion resistance test results of key nodes and non-critical node corrosion resistance test results ; The product of the node offset and the performance factor is calculated to obtain the performance strength of the test structure, that is, the tensile test result is , the hardness test results are , , the fatigue strength test results are , the corrosion resistance test results are ; If the tensile test results, hardness test results, fatigue strength test results, and corrosion resistance test results all meet the corresponding preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, it means that the test structure has passed the performance test and corrosion resistance test.

[0011] In a preferred embodiment, the steps of performing a composite test on the test structure that has passed the performance test and the corrosion resistance test to obtain the usage of the test component in a complex environment are: The comprehensive performance factor of the test structure is calculated as: The comprehensive test results of the test structure based on the comprehensive performance factor calculation are: ,in For comprehensive test results.

[0012] In a preferred embodiment, the analysis module includes: Obtain the test results of the test structure that failed the performance test and corrosion resistance test, calculate the offset direction of the real node and the virtual node, and the node distribution of the test structure after the test; The coordinates of the virtual node and the real node are expressed as vectors respectively. , the offset direction is expressed as ,in Indicates the offset direction. Based on the offset direction, the test structure is analyzed to determine whether it is affected by other forces during the test process, and the source of other forces is determined to determine whether the test structure has design defects. The test structure that fails the performance test and corrosion resistance test is divided into equal volumes, and the test structure is divided into a finite number of equal-volume spatial units. The preset node density is defined, the number of nodes in the spatial unit is counted, and the node density in the spatial unit is calculated. The spatial units that exceed the preset node density are analyzed to determine whether there are design defects.

[0013] The present invention also provides an intelligent testing method for metal structure manufacturing, comprising: Scanning a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure, constructing a spatial coordinate system with the center point of the holographic three-dimensional model, using the holographic three-dimensional model as a virtual test model and the spatial coordinate system as a reference test frame, and creating virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; The test metal structure is defined as a test structure, the test structure is placed in a reference test frame, and real nodes of the test structure including basic nodes, key nodes and matching nodes are constructed at preset distances. The virtual test model is overlapped with the test structure, and the distance between the real node and the virtual node is defined as the node offset; Obtain performance indicators of standard metal structures and define preset performance indicators based on the performance indicators; Tests on the test structure include non-destructive testing, performance testing, corrosion resistance testing and composite testing, among which performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Analyze test builds that fail performance and corrosion tests, obtain analysis reports, and modify technical solutions.

[0014] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. This invention obtains a holographic 3D model by scanning a standard metal structure. The nodes of the holographic 3D model and the test structure are constructed in the same manner. The holographic 3D model is used to perform nondestructive testing, performance testing, corrosion resistance testing, and composite testing on the test structure. The holographic 3D model allows for rapid model modification, design iteration, and parameter adjustment, significantly shortening the testing cycle. 2. The present invention constructs a performance factor of the test structure node, quantifies the performance strength of the test structure by calculating the product of the node offset and the node performance factor, obtains the test result by comparing the quantified performance strength with the predetermined performance index, and constructs an analysis module to analyze the node offset direction and node density of the test structure that fails the test to obtain possible structural design defects. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0016] Figure 1 is a system block diagram of the present invention; Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] Example 1, please refer to Figure 1 As shown, the intelligent testing system for metal structure manufacturing described in this embodiment includes: Holographic 3D module: Scans a standard metal structure to obtain a holographic 3D model of the standard metal structure, constructs a spatial coordinate system with the center point of the holographic 3D model, uses the holographic 3D model as a virtual test model, and uses the spatial coordinate system as a reference test frame to create virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; Environmental configuration module: Connected with the holographic 3D module, it defines the test metal structure as the test structure, places the test structure in the reference test frame, constructs the real nodes of the test structure at preset distances, including basic nodes, key nodes, and matching nodes, overlaps the virtual test model with the test structure, and defines the distance between the real node and the virtual node as the node offset; Performance definition module: connects with the environment configuration module to obtain the performance indicators of standard metal structures and define preset performance indicators based on the performance indicators; Testing module: connected with the performance definition module, it performs tests on the test structure, including non-destructive testing, performance testing, corrosion resistance testing and composite testing. Performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Analysis module: connected to the test module, analyzes the test structures that fail the performance test and corrosion resistance test, obtains analysis reports and modifies technical solutions.

[0019] It is further explained that metal structure testing is an important means to ensure the safety and reliability of metal structures. It plays a key role in fields such as construction, bridges, ships, aerospace, etc. In recent years, with the rapid development of technologies such as artificial intelligence, big data, and cloud computing, intelligent testing methods and systems for metal structure manufacturing have also made great progress. These methods and systems have shown great advantages in improving testing efficiency, reducing costs, and improving product quality. However, at the same time, existing intelligent testing methods have model limitations and data dependence. The present invention obtains a holographic three-dimensional model by scanning a standard metal structure, constructs the nodes of the holographic three-dimensional model and the test structure in the same way, and uses the holographic three-dimensional model to perform non-destructive testing, performance testing, corrosion resistance testing, and composite testing on the test structure. The holographic three-dimensional model can quickly modify the model, perform design iterations, and adjust parameters, significantly shortening the testing cycle. By constructing the performance factor of the test structure node, the performance strength of the test structure is quantified by calculating the product of the node offset and the node performance factor. The test results are obtained by comparing the quantified performance strength with the predetermined performance index. By constructing an analysis module, the node offset direction and node density of the test structure that failed the test are analyzed to obtain possible structural design defects.

[0020] In one embodiment, the holographic three-dimensional model module includes: Use structured light to scan a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure; A spatial coordinate system is constructed based on the center point of the holographic 3D model. The virtual nodes of the holographic 3D model include virtual basic nodes, virtual key nodes and virtual matching nodes. The virtual nodes are evenly filled with the entire holographic 3D model and the distances between adjacent virtual nodes are equal. The virtual nodes at the joints of the holographic 3D model structure are used as virtual key nodes, and the virtual nodes at the points where the volume of the holographic 3D model is divided into three equal parts are used as virtual matching nodes. The coordinates of the virtual nodes are obtained. , ,in is the number of virtual nodes; The holographic three-dimensional model is used as the virtual test model and the spatial coordinate system is used as the reference test frame.

[0021] It is further explained that the standard metal structure is scanned using structured light scanning technology to obtain a holographic three-dimensional model of the standard metal structure, including the shape and size of the metal structure and the connection relationship of each component. The center point is determined in the holographic three-dimensional model. The center point is selected to correspond to the center of mass of the standard metal component. A spatial rectangular coordinate system is established based on the center point. The virtual nodes of the holographic three-dimensional model include virtual basic nodes, virtual key nodes and virtual matching nodes. The virtual nodes evenly fill the entire holographic three-dimensional model and the distance between adjacent virtual nodes is equal. The distance between virtual nodes can be adjusted to meet different test structures and different accuracy requirements. The virtual nodes corresponding to the connection positions of the standard metal structure are used as virtual key nodes, and the virtual nodes at the points corresponding to the three equal divisions of the volume are used as virtual matching nodes. The coordinates of each virtual node are obtained based on the spatial coordinate system.

[0022] In one embodiment, the environment configuration module includes: Define the test metal structure as the test structure, place the test structure in the reference test frame, and construct the real nodes of the test structure, including basic nodes, key nodes, and matching nodes. The real nodes are evenly distributed throughout the test structure and the distances between adjacent real nodes are equal. The real nodes at the connection of the test structure are taken as key nodes, and the real nodes at the points where the volume of the test structure is divided into three equal parts are taken as matching nodes to obtain the coordinates of the real nodes. , ,in is the number of real nodes; Overlapping the virtual matching node and the matching node to make the test structure overlap with the virtual test model; The distance between the real node and the virtual node is defined as the node offset Including base node offset , key node offset , matching node offset , define the base node and matching node as non-key nodes, and the node offset of non-key nodes is ; The distance between the virtual basic node and the basic node is the basic node offset, the distance between the virtual key node and the key node is the key node offset, and the distance between the virtual matching node and the matching node is the matching node offset. Get the number of virtual nodes and the actual number of nodes , get the weight of the key node and the weights of non-critical nodes , where non-critical nodes include basic nodes and matching nodes, and the number of virtual nodes is defined and the actual number of nodes The ratio of the absolute value of the difference to the number of virtual nodes is the node loss rate ,Right now, ,in is the node loss rate.

[0023] It is further explained that the test structure is placed in a spatial rectangular coordinate system, and the real nodes are set to evenly fill the entire test structure. The distance between adjacent real nodes is equal and equal to the distance between virtual nodes. The real nodes at the connection of the test structure are used as key nodes, and the real nodes at the points where the volume is divided into three equal parts are used as matching nodes. The overlap of the matching nodes and the virtual matching nodes is used as the overlap standard. If the matching nodes and the virtual matching nodes cannot completely overlap, it means that the test structure has defects in shape and size and is an unqualified product. When the test structure overlaps with the holographic three-dimensional model, the node offset of each corresponding node is defined, and the number of virtual nodes and real nodes is counted at the same time. The ratio of the absolute value of the difference between the two to the number of virtual nodes is used as the node loss rate to show whether the test structure is damaged.

[0024] In one embodiment, the performance definition module includes: Obtain structural information of standard metal structures including dimensional parameters, chemical composition of metal, tensile strength, elongation, fatigue strength, hardness and corrosion resistance; Preset performance indicators are defined based on the structural information of the standard metal structure, including preset size parameters, preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, wherein the preset size parameters include preset node offsets and preset node loss rates.

[0025] Further explanation: the structural information and materials of the standard metal structure are analyzed to obtain the performance indicators of the standard metal structure, and the preset performance indicators are defined based on the performance indicators of the standard metal structure for comparing the test results of the test components. For example, the standard metal structure is a medical surgical scissors, whose size ratio is a total length of 20 cm, a blade length of 7 cm, a handle length of 13 cm, a blade thickness of 0.2 cm, a chemical composition containing iron, chromium, nickel and other alloy elements, a tensile strength between 500 and 1500 MPa, and an elongation of 3%-4%, i.e., elongation The length is 0.6-0.8cm, the fatigue strength is 200-400MPa, the hardness is 200-300 Rockwell hardness, the corrosion resistance is expressed as a corrosion rate of 0.1-0.2mm / year, and the preset performance index is a dimensionless value. The preset size parameter index can be defined as a preset node offset of 0.3, a preset node loss rate of 1.5%, a preset tensile strength index range of 0-1500, a preset hardness index range of 0-300, a preset fatigue strength index range of 0-400, and a preset corrosion resistance index of 0.01.

[0026] In one embodiment, the test module includes: Testing of the test structure placed in a reference test frame includes non-destructive testing, performance testing, and corrosion resistance testing; The steps of non-destructive testing are: obtaining the coordinates and number of real nodes and virtual nodes, calculating the node offset of the offset node , where the coordinates of the real nodes are , the coordinates of the virtual node are , and calculate the node loss rate ,like If the preset size parameters are met at the same time, it means that the test component has passed the non-destructive test; Construct a performance test and corrosion resistance test environment for the test structure that has passed the non-destructive test, conduct performance test and corrosion resistance test, and express the test results in quantitative form; Conduct composite tests on test structures that have passed performance tests and corrosion resistance tests to obtain the usage of test components in complex environments.

[0027] Further description, non-destructive testing is performed on a test component placed in a spatial coordinate system and coincident with the holographic three-dimensional model, wherein Represent the coordinates of the real node and virtual node on the X-axis, Y-axis and Z-axis respectively, calculate the node offset and node loss rate of the corresponding nodes, when the offset of a pair of nodes is too large, it means that there is a large dimensional error in the structure at that location, which does not meet the design requirements. On the other hand, when the node loss rate of the test structure is too high, it means that the test structure may have structural missing or redundant structures, which also does not meet the design requirements. For example, a non-destructive test is performed on medical mobile phone scissors, and the number of virtual nodes and the number of real nodes of the medical surgical scissors are 20,000 and 19,800 respectively. The node offset of the offset node is calculated. If the node offset does not exceed 0.3, it means that the structure is consistent with the holographic three-dimensional model, that is, consistent with the standard metal structure. At the same time, the node loss rate is calculated. , that is, the node loss rate is 1%, which means that the size of the medical surgical scissors is consistent with the holographic three-dimensional model, that is, consistent with the standard metal structure. The node offset and the node loss rate must meet the preset size parameters at the same time to be determined to have passed the non-destructive test. The test parts that have passed the non-destructive test will be subjected to the next step of performance testing, corrosion resistance testing and composite testing to further measure the performance of the structure.

[0028] In one embodiment, the steps of constructing a performance test and corrosion resistance test environment, performing performance test and corrosion resistance test, and expressing the test results in a quantitative manner are as follows: Define the performance factor of the test structure node Including tensile strength performance factor , hardness performance factor , fatigue strength performance factor , corrosion resistance factor ; The tensile strength performance factor Including key node tensile strength performance factors and non-critical node tensile strength performance factors , hardness performance factor Including key node hardness performance factors and non-critical node hardness performance factors , fatigue strength performance factor Including key node fatigue strength performance factors and non-critical node fatigue strength performance factors , corrosion resistance factor Including corrosion resistance factors of key nodes and corrosion resistance factors of non-critical nodes ; Construct the environment for performance testing and corrosion resistance testing, including the tensile force and compressive force applied to the test structure, the frequency of repeated use of the test structure, and the coverage of corrosive substances; Define the tensile test result as Including tensile test results of key nodes and non-critical node tensile test results , define the hardness test results Including key node hardness test results and non-critical node hardness test results , define fatigue strength test results Including key node fatigue test results and non-critical node fatigue test results , defining the corrosion resistance test results Including corrosion resistance test results of key nodes and non-critical node corrosion resistance test results ; The product of the node offset and the performance factor is calculated to obtain the performance strength of the test structure, that is, the tensile test result is , the hardness test results are , The fatigue strength test results are , the corrosion resistance test results are ; If the tensile test results, hardness test results, fatigue strength test results, and corrosion resistance test results all meet the corresponding preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, it means that the test structure has passed the performance test and corrosion resistance test.

[0029] It is further explained that the performance factors of the nodes are defined according to the structural information and material properties of the test structure. The performance factors include tensile strength performance factor, hardness performance factor, fatigue strength performance factor and corrosion resistance performance factor, which correspond to key nodes and non-key nodes respectively. The performance factors are also dimensionless values. Because the stress conditions at the joints of the test structure are more complicated than those of other components, and because of the different functions, the structure will be different from other components. Therefore, the performance factors of key nodes will be higher than those of other non-key nodes. The test process takes medical surgical scissors as an example. In the test structure of medical surgical scissors, the real node at the connection between the two blades is used as the key node, and the key node is defined. The tensile strength performance factor of the key node is 1550, and the tensile strength performance factor of the non-critical node is 1500. The hardness performance factor of the key node is defined as 350, and the hardness performance factor of the non-critical node is 300. The fatigue strength performance factor of the key node is defined as 450, and the fatigue strength performance factor of the non-critical node is defined as 400. The corrosion resistance performance factor of the key node is defined as 0.05, and the corrosion resistance performance factor of the non-critical node is defined as 0.04. The unit of the node offset is millimeter, but only numerical calculation is taken. After completing the definition of each performance factor, the environment required for the test is constructed. For the tensile strength test, a tensile testing machine is used to apply tension at a constant rate until the medical surgical scissors are significantly deformed. Calculation If it is less than 1500, it means that the medical surgical scissors have not passed the tensile strength test. For the hardness test, use a press to apply a pressure of 950N to the medical surgical scissors. If the preset hardness index range of 0-300 is met, the hardness test is passed. For the fatigue strength test, the normal operation of medical surgical scissors is simulated 10,000 times, and the fatigue strength is calculated. If the preset fatigue strength index range of 0-400 is met, the test structure passes the fatigue test. For the corrosion resistance test, a humid and pH imbalanced environment is created and the medical surgical scissors are exposed to the environment for one day to calculate the If it is less than 0.01, it means that the corrosion resistance test has passed. The setting of the node performance factor for different test structures should be based on the structural information, material information and usage scenario of the test structure.

[0030] In one embodiment, the steps of performing a composite test on the test structure that has passed the performance test and the corrosion resistance test to obtain the usage status of the test component in a complex environment are: The comprehensive performance factor of the test structure is calculated as: The comprehensive test results of the test structure based on the comprehensive performance factor calculation are: ,in For comprehensive test results.

[0031] It is further explained that a composite test is performed on the test structure that has passed the performance test and the corrosion test. This test will simultaneously apply all test environments to the test structure, and the test structure will be subjected to external forces at the same time. Fatigue strength testing is also performed in a humid or pH-unbalanced environment. For example, a medical surgical scissors is struck multiple times and then reused 10,000 times underwater. The node offset and the composite performance factor are calculated, and the test results are compared with various preset performance indicators. This test is only used to observe the performance limits of the test structure under complex conditions.

[0032] In one embodiment, the analysis module includes: Obtain the test results of the test structure that failed the performance test and corrosion resistance test, calculate the offset direction of the real node and the virtual node, and the node distribution of the test structure after the test; The coordinates of the virtual node and the real node are expressed as vectors respectively. , the offset direction is expressed as ,in Indicates the offset direction. Based on the offset direction, the test structure is analyzed to determine whether it is affected by other forces during the test process, and the source of other forces is determined to determine whether the test structure has design defects. The test structure that fails the performance test and corrosion resistance test is divided into equal volumes, and the test structure is divided into a finite number of equal-volume spatial units. The preset node density is defined, the number of nodes in the spatial unit is counted, and the node density in the spatial unit is calculated. The spatial units that exceed the preset node density are analyzed to determine whether there are design defects.

[0033] It is further explained that for test components that fail the performance test and corrosion test, node offset direction and node density analysis are performed. During the test, the test components will exhibit reasonable deformation. For example, in the tensile test, the test structure will extend along the direction of the force, and the nodes will also move along this direction. When the movement direction of the nodes in a certain area is different from this direction, it is judged that the design structure of the area is defective and needs further improvement. At the same time, when deformation occurs during the test process, the nodes will gather in a certain area. When the node density in a certain area is too large, it means that the stress in this area is more concentrated. It is judged whether the phenomenon is caused by structural defects or material reasons. For example, in the hardness test of medical surgical scissors, pressure is applied to the medical surgical scissors to cause them to deform, and the volume of the medical surgical scissors is divided into twenty units, and the node density of each unit is measured. When the node density of a unit is too high, it means that the force condition in this area is different from that of other units. The area to which the node belongs is further analyzed to determine whether the failure of the test is due to design defects.

[0034] An intelligent testing method for metal structure manufacturing, comprising: Scanning a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure, constructing a spatial coordinate system with the center point of the holographic three-dimensional model, using the holographic three-dimensional model as a virtual test model and the spatial coordinate system as a reference test frame, and creating virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; The test metal structure is defined as a test structure, the test structure is placed in a reference test frame, and real nodes of the test structure including basic nodes, key nodes and matching nodes are constructed at preset distances. The virtual test model is overlapped with the test structure, and the distance between the real node and the virtual node is defined as the node offset; Obtain performance indicators of standard metal structures and define preset performance indicators based on the performance indicators; Tests on the test structure include non-destructive testing, performance testing, corrosion resistance testing and composite testing, among which performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Analyze test structures that fail performance tests and corrosion resistance tests, obtain analysis reports and modify technical solutions.

[0035] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An intelligent testing system for metal structure manufacturing, characterized in that: Holographic 3D module: Scan the standard metal structure to obtain a holographic 3D model of the standard metal structure, build a spatial coordinate system with the center point of the holographic 3D model, use the holographic 3D model as a virtual test model, use the spatial coordinate system as a reference test frame, and create virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; Environmental configuration module: connected with the holographic 3D module, defines the test metal structure as the test structure, places the test structure in the reference test frame, constructs the real nodes of the test structure including basic nodes, key nodes and matching nodes at preset distances, overlaps the virtual test model with the test structure, and defines the distance between the real node and the virtual node as the node offset; Performance definition module: connected with the environment configuration module, obtains the performance indicators of the standard metal structure, and defines the preset performance indicators based on the performance indicators; Test module: connected with the performance definition module, the test structure is tested including non-destructive test, performance test, corrosion resistance test and composite test, among which the performance test includes tensile strength test, hardness test and fatigue strength test; Analysis module: connected with the test module, analyzes the test structures that fail the performance test and corrosion resistance test, obtains analysis reports and modifies the technical solutions.

2. The intelligent testing system for metal structure manufacturing according to claim 1, characterized in that: The holographic three-dimensional module comprises: Use structured light to scan a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure; A spatial coordinate system is constructed based on the center point of the holographic 3D model. The virtual nodes of the holographic 3D model include virtual basic nodes, virtual key nodes and virtual matching nodes. The virtual nodes evenly fill the entire holographic 3D model and the distances between adjacent virtual nodes are equal. The virtual nodes at the connection points of the holographic 3D model structure are used as virtual key nodes, and the virtual nodes at the points where the volume of the holographic 3D model is divided into three equal parts are used as virtual matching nodes. The coordinates of the virtual nodes are obtained. , ,in is the number of virtual nodes; The holographic three-dimensional model is used as the virtual test model and the spatial coordinate system is used as the reference test frame.

3. The intelligent testing system for metal structure manufacturing according to claim 1, characterized in that: The environment configuration module includes: Define the test metal structure as the test structure, place the test structure in the reference test frame, construct the real nodes of the test structure including basic nodes, key nodes and matching nodes, the real nodes evenly fill the entire test structure and the distances between adjacent real nodes are equal, the real nodes at the connection of the test structure are taken as key nodes, the real nodes at the points where the volume of the test structure is divided into three equal parts are taken as matching nodes, and the real node coordinates are obtained , ,in is the number of real nodes; Overlapping the virtual matching node and the matching node with each other so that the test structure overlaps with the virtual test model; The distance between the real node and the virtual node is defined as the node offset Include base node offset , key node offset , Matching node offset , define the base node and matching node as non-key nodes, and the node offset of non-key nodes is ; The distance between the virtual basic node and the basic node is the basic node offset, the distance between the virtual key node and the key node is the key node offset, and the distance between the virtual matching node and the matching node is the matching node offset; Get the number of virtual nodes and the actual number of nodes , get the weight of the key node and the weights of non-critical nodes , where non-critical nodes include basic nodes and matching nodes, defining the number of virtual nodes and the actual number of nodes The ratio of the absolute value of the difference to the number of virtual nodes is the node loss rate. ,Right now ,in is the node loss rate.

4. The intelligent testing system for metal structure manufacturing according to claim 1, characterized in that: The performance definition module includes: Obtain structural information of standard metal structures including dimensional parameters, chemical composition of metal, tensile strength, elongation, fatigue strength, hardness and corrosion resistance; Preset performance indicators are defined according to structural information of standard metal structures, including preset size parameters, preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, wherein the preset size parameters include preset node offsets and preset node loss rates.

5. The intelligent testing system for metal structure manufacturing according to claim 3, characterized in that: The test module includes: Testing of the test structure placed in a reference test frame includes non-destructive testing, performance testing, and corrosion resistance testing; The steps of non-destructive testing are: obtaining the coordinates and number of real nodes and virtual nodes, calculating the node offset of the offset node , where the coordinates of the real nodes are , the coordinates of the virtual node are , and calculate the node loss rate ,like If the preset size parameters are met at the same time, it means that the test component has passed the non-destructive test; Construct performance test and corrosion resistance test environment for the test structure that has passed the non-destructive test, conduct performance test and corrosion resistance test, and the test results are expressed quantitatively; Conduct composite tests on test structures that have passed performance tests and corrosion resistance tests to obtain the usage of test components in complex environments.

6. The intelligent testing system for metal structure manufacturing according to claim 5, characterized in that: The steps of constructing the performance test and corrosion resistance test environment, performing the performance test and corrosion resistance test, and expressing the test results in a quantitative manner are as follows: Define performance factors for test structure nodes Including tensile strength performance factor , hardness performance factor , fatigue strength performance factor , Corrosion resistance factor ; The tensile strength performance factor Including key node tensile strength performance factors and non-critical node tensile strength performance factors , hardness performance factor Including key node hardness performance factors and non-critical node hardness performance factor , fatigue strength performance factor Including key node fatigue strength performance factors and non-critical node fatigue strength performance factors , corrosion resistance factor Including key node corrosion resistance factors and non-critical node corrosion resistance factor ; Construct the environment for performance testing and corrosion resistance testing, including the tensile force, pressure, frequency of repeated use of the test structure, and coverage of corrosive substances applied to the test structure; Define the tensile test result as Including tensile test results at key nodes Tensile test results of non-critical nodes , define the hardness test result Including key node hardness test results and non-critical node hardness test results , define the fatigue strength test results Including key node fatigue test results and non-critical node fatigue test results , defining the corrosion test results Including corrosion test results of key nodes Corrosion test results of non-critical nodes ; The product of the node offset and the performance factor is calculated to obtain the performance strength of the test structure, that is, the tensile test result is The hardness test results are , , the fatigue strength test results are , the corrosion resistance test results are ; If the tensile test results, hardness test results, fatigue strength test results, and corrosion resistance test results all meet the corresponding preset tensile strength index, preset hardness index, preset fatigue strength index, and preset corrosion resistance index, it means that the test structure has passed the performance test and corrosion resistance test.

7. The intelligent testing system for metal structure manufacturing according to claim 5, characterized in that: The steps of performing a composite test on the test structure that has passed the performance test and the corrosion resistance test to obtain the use status of the test component in a complex environment are as follows: The comprehensive performance factor of the test structure is calculated as: The comprehensive test results of the test structure based on the comprehensive performance factor calculation are: ,in For comprehensive test results.

8. The intelligent testing system for metal structure manufacturing according to claim 1, characterized in that: The analysis module comprises: Obtain the test results of the test structure that failed the performance test and the corrosion resistance test, calculate the offset direction of the real node and the virtual node and the node distribution of the test structure after the test; The coordinates of the virtual node and the real node are represented as vectors respectively: , the offset direction is expressed as ,in Indicates the offset direction. Based on the offset direction, analyze whether the test structure is affected by other forces during the test process, determine the source of other forces, and analyze whether the test structure has design defects; For the test structures that fail the performance test and corrosion resistance test, divide the test structures into a finite number of equal-volume space units, define the preset node density, count the number of nodes in the space unit, calculate the node density in the space unit, analyze the space units that exceed the preset node density, and determine whether there are design defects.

9. An intelligent testing method for metal structure manufacturing, used to implement an intelligent testing system for metal structure manufacturing as claimed in any one of claims 1 to 8, characterized in that: Scan the standard metal structure to obtain a holographic three-dimensional model of the standard metal structure, construct a spatial coordinate system with the center point of the holographic three-dimensional model, use the holographic three-dimensional model as a virtual test model, use the spatial coordinate system as a reference test frame, and create virtual nodes of the virtual test model at preset distances, including virtual basic nodes, virtual key nodes, and virtual matching nodes; The test metal structure is defined as a test structure, the test structure is placed in a reference test frame, real nodes of the test structure are constructed at preset distances, including basic nodes, key nodes and matching nodes, a virtual test model is overlapped with the test structure, and the distance between the real node and the virtual node is defined as a node offset; Obtain performance indicators of standard metal structures, and define preset performance indicators based on the performance indicators; Tests on the test structure include non-destructive testing, performance testing, corrosion resistance testing and composite testing, among which performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Analyze the test structures that failed the performance test and corrosion resistance test, obtain analysis reports and modify the technical solutions.

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