An intelligent testing method and system for metal structure manufacturing

Abstract

The present invention discloses an intelligent testing method and system for metal structure manufacturing, which relates to the technical field of metal structure testing. A holographic three-dimensional model of a standard metal structure is scanned and constructed. Through a construction environment configuration module, nodes are created for the holographic three-dimensional model and the test structure, and the node offset is defined to create a test environment for the test structure; a performance definition module defines the preset performance of the test structure; the test module tests the test structure and determines whether the test structure is qualified by calculating the information of the nodes; through a construction analysis module, node analysis is carried out on the unqualified test structure to judge the design defects of the structure. The present invention tests the test structure by constructing a holographic three-dimensional model of a standard metal structure, quantifies the test results by setting nodes and observing the movement of the nodes, and analyzes the unqualified test structure to obtain the design defects of the structure, more intelligently solving the testing problem of metal structures.

Description

Technical Field

[0001] The present invention relates to the technical field of metal structure testing, and particularly 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, and 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.

[0003] These methods and systems have shown great advantages in improving testing efficiency, reducing costs, and enhancing product quality. However, at the same time, existing intelligent testing methods have model limitations and data dependencies, require a large amount of data processing, and have low testing efficiency. Therefore, it is crucial to develop an intelligent metal structure testing method with high efficiency and no model dependence. 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 deficiencies in the background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent testing system for metal structure manufacturing, comprising:

[0006] A holographic three-dimensional module: Scanning a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure, constructing a space coordinate system with the center point of the holographic three-dimensional model, using the holographic three-dimensional model as a virtual test model, using the space coordinate system as a reference test framework, and creating virtual nodes of the virtual test model at a preset distance, including virtual base nodes, virtual key nodes, and virtual matching nodes;

[0007] An environment configuration module: Connected to the holographic three-dimensional module, defining the test metal structure as a test structure, placing the test structure in the reference test framework, constructing real nodes of the test structure at a preset distance, including base nodes, key nodes, and matching nodes, overlapping the virtual test model with the test structure, and defining the distance between the real nodes and the virtual nodes as the node offset;

[0008] A performance definition module: Connected to the environment configuration module, obtaining the performance indicators of the standard metal structure, and defining preset performance indicators based on the performance indicators;

[0009] A test module: Connected to the performance definition module, testing the test structure, including non-destructive testing, performance testing, corrosion resistance testing, and composite testing, where the performance testing includes tensile strength testing, hardness testing, and fatigue strength testing;

[0010] Analysis module: Connected to the test module, it analyzes the test structures that fail the performance test and the corrosion resistance test, obtains an analysis report and modifies the technical solution.

[0011] In a preferred embodiment, the holographic three-dimensional module includes:

[0012] Use structured light to scan the standard metal structure to obtain the holographic three-dimensional model of the standard metal structure;

[0013] Based on the center point of the holographic three-dimensional model, construct a spatial coordinate system. The virtual nodes constructed for 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. Among them, the virtual nodes at the connection of the holographic three-dimensional model structure are used as virtual key nodes, and the virtual nodes at the trisection points of the volume of the holographic three-dimensional model are used as virtual matching nodes, and obtain the virtual node coordinates , , where is the number of virtual nodes;

[0014] Take the holographic three-dimensional model as the virtual test model and the spatial coordinate system as the reference test framework.

[0015] In a preferred embodiment, the environment configuration module includes:

[0016] Define the test metal structure as the test structure, place the test structure into the reference test framework, and 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 distance between adjacent real nodes is equal. Among them, the real nodes at the connection of the test structure are used as key nodes, and the real nodes at the trisection points of the volume of the test structure are used as matching nodes, and obtain the real node coordinates , , where is the number of real nodes;

[0017] Coincide the virtual matching nodes and the matching nodes with each other to make the test structure coincide with the virtual test model;

[0018] Define the distance between the real nodes and the virtual nodes as the node offset including the basic node offset , the key node offset , the matching node offset . Define the basic nodes and the matching nodes as non-key nodes, and the node offset of the non-key nodes is ;

[0019] The distance between the virtual base node and the base node is the base 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;

[0020] Obtain the number of virtual nodes and the number of real nodes , and obtain the weights of the key nodes and the weights of non-key nodes , where the non-key nodes include the base nodes and the matching nodes, and define the number of virtual nodes and the number of real nodes The ratio of the absolute value of the difference between the number of virtual nodes and the number of real nodes to the number of virtual nodes is the node loss rate, that is , , where is the node loss rate.

[0021] In a preferred embodiment, the performance definition module includes:

[0022] Obtain the structural information of the standard metal structure, including dimensional parameters, chemical composition of the metal, tensile strength, elongation, fatigue strength, hardness, and corrosion resistance;

[0023] Define preset performance indicators according to the structural information of the standard metal structure, including preset dimensional parameters, preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, where the preset dimensional parameters include preset node offsets and preset node loss rates.

[0024] In a preferred embodiment, the test module includes:

[0025] Test the test structure placed in the reference test frame, including non-destructive testing, performance testing, and corrosion resistance testing;

[0026] The steps of non-destructive testing are as follows: Obtain the coordinates and quantities of real nodes and virtual nodes, and calculate the node offsets of the offset nodes , where the coordinates of the real nodes are , and the coordinates of the virtual nodes are , and at the same time calculate the node loss rate , if both meet the preset dimensional parameters, it means that the test component passes the non-destructive test;

[0027] Construct a performance test and a corrosion resistance test environment for the test structure that has passed the non-destructive test, and conduct performance testing and corrosion resistance testing. The test results are expressed quantitatively;

[0028] Perform a composite test on the test structure that has passed the performance test and corrosion resistance test to obtain the usage of the test component in a complex environment.

[0029] In a preferred embodiment, the steps of constructing the performance test and corrosion resistance test environment, performing the performance test and corrosion resistance test, and representing the test results quantitatively are as follows:

[0030] Define the performance factors of the test structure nodes Including the tensile strength performance factor , the hardness performance factor , the fatigue strength performance factor , and the corrosion resistance performance factor ;

[0031] Among them, the tensile strength performance factor Includes the key node tensile strength performance factor And the non - key node tensile strength performance factor , the hardness performance factor Includes the key node hardness performance factor And the non - key node hardness performance factor , the fatigue strength performance factor Includes the key node fatigue strength performance factor And the non - key node fatigue strength performance factor , the corrosion resistance performance factor Includes the key node corrosion resistance performance factor And the non - key node corrosion resistance performance factor ;

[0032] Construct the environment for the performance test and corrosion resistance test, including the tensile force applied to the test structure, pressure, the frequency of repeated use of the test structure, and the coverage of corrosive substances;

[0033] Define the tensile test result as Including the key node tensile test result And the non - key node tensile test result , define the hardness test result Including the key node hardness test result And the non - key node hardness test result , define the fatigue strength test result Including the key node fatigue test result And the non - key node fatigue test result , define the corrosion resistance test result Including the key node corrosion resistance test result And the non - key node corrosion resistance test result ;

[0034] Calculate the product of the computational node offset and the performance factor to obtain the performance strength of the test structure, that is, the tensile test result is , and the hardness test result is , , and the fatigue strength test result is , and the corrosion resistance test result is ;

[0035] If the tensile test result, hardness test result, fatigue strength test result, and corrosion resistance test result all meet the corresponding preset tensile strength index, preset hardness index, preset fatigue strength index, and preset corrosion resistance index, it indicates that the test structure passes the performance test and the corrosion resistance test.

[0036] In a preferred embodiment, the step of performing a composite test on the test structure that has passed the performance test and the corrosion resistance test to obtain the usage situation of the test component in a complex environment is as follows:

[0037] Calculate the comprehensive performance factor of the test structure as:

[0038]

[0039] Calculate the comprehensive test result of the test structure based on the comprehensive performance factor as , where is the comprehensive test result.

[0040] In a preferred embodiment, the analysis module includes:

[0041] Obtain the test results of the test structure that fails the performance test and the corrosion resistance test, calculate the offset direction between the real node and the virtual node, and the node distribution of the test structure after the test;

[0042] Express the coordinates of the virtual node and the real node as vectors as , and the offset direction is expressed as , where Indicates that based on the offset direction analysis, during the test process, whether the test structure is affected by other forces, determines the source of the other forces, and analyzes whether the test structure has design defects;

[0043] Perform an equal-volume division on the test structure that fails the performance test and the corrosion resistance test, divide the test structure into a finite number of equal-volume spatial units, define a preset node density, count the number of nodes in the spatial unit, calculate the node density in the spatial unit, and analyze the spatial units with a node density exceeding the preset node density to determine whether there are design defects.

[0044] The present invention also provides an intelligent test method for metal structure manufacturing, including:

[0045] 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 and the spatial coordinate system as a reference test framework. Create virtual nodes of the virtual test model at a preset distance, including virtual base nodes, virtual key nodes, and virtual matching nodes;

[0046] Define the test metal structure as the test structure. Place the test structure in the reference test framework. Construct real nodes of the test structure at a preset distance, including base nodes, key nodes, and matching nodes. Coincide the virtual test model with the test structure. Define the distance between the real nodes and the virtual nodes as the node offset;

[0047] Obtain the performance indicators of the standard metal structure. Define preset performance indicators based on the performance indicators;

[0048] Test the test structure, including non-destructive testing, performance testing, corrosion resistance testing, and composite testing. Among them, performance testing includes tensile strength testing, hardness testing, and fatigue strength testing;

[0049] Analyze the test structures that fail the performance test and corrosion resistance test, obtain an analysis report, and modify the technical solution.

[0050] In the above technical solution, the technical effects and advantages provided by the present invention:

[0051] 1. The present invention scans the standard metal structure to obtain a holographic three-dimensional model. Construct nodes of the holographic three-dimensional model and the test structure in the same way. Use the holographic three-dimensional model to conduct 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 iteration and parameter adjustment, and greatly shorten the test cycle;

[0052] 2. The present invention constructs the performance factors of the test structure nodes. Quantify the performance strength of the test structure by calculating the product of the node offset and the node performance factor. Obtain the test results by comparing the quantified performance strength with the predetermined performance indicators. Analyze the node offset direction and node density of the test structures that fail the test through the constructed analysis module to obtain possible structural design defects. Description of the Drawings

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0054] Figure 1It is the system block diagram of the present invention;

[0055] Figure 2 It is the method flowchart of the present invention. Specific embodiments

[0056] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] Example 1. Please refer to Figure 1 As shown, an intelligent testing system for metal structure manufacturing in this embodiment includes:

[0058] Holographic three-dimensional module: Scanning a standard metal structure to obtain a holographic three-dimensional model of the standard metal structure, constructing a space coordinate system with the center point of the holographic three-dimensional model, using the holographic three-dimensional model as a virtual test model, using the space coordinate system as a reference test framework, and creating virtual nodes of the virtual test model at a preset distance, including virtual base nodes, virtual key nodes, and virtual matching nodes;

[0059] Environment configuration module: Connected to the holographic three-dimensional module, defining the test metal structure as a test structure, placing the test structure in the reference test framework, constructing real nodes of the test structure at a preset distance, including base nodes, key nodes, and matching nodes, overlapping the virtual test model with the test structure, and defining the distance between the real nodes and the virtual nodes as the node offset;

[0060] Performance definition module: Connected to the environment configuration module, obtaining the performance indicators of the standard metal structure, and defining preset performance indicators based on the performance indicators;

[0061] Testing module: Connected to the performance definition module, testing the test structure includes non-destructive testing, performance testing, corrosion resistance testing, and composite testing, where the performance testing includes tensile strength testing, hardness testing, and fatigue strength testing;

[0062] Analysis module: Connected to the testing module, analyzing the test structures that fail the performance testing and corrosion resistance testing, obtaining an analysis report and modifying the technical solutions.

[0063] Further explanation, metal structure testing is an important means to ensure the safety and reliability of metal structures. It plays a crucial 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 enhancing product quality. However, at the same time, existing intelligent testing methods have model limitations and data dependencies. The present invention obtains a holographic three-dimensional model by scanning a standard metal structure, constructs nodes of the holographic three-dimensional model and the test structure in the same way, 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 parameter adjustments, significantly shortening the testing cycle. By constructing performance factors of the test structure nodes, the performance strength of the test structure is quantified by calculating the product of the node offset and the node performance factor. The test result is 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 fails the test are analyzed to obtain possible structural design defects.

[0064] In one embodiment, the holographic three-dimensional model module includes:

[0065] Use structured light to scan the standard metal structure to obtain the holographic three-dimensional model of the standard metal structure;

[0066] Based on the center point of the holographic three-dimensional model, construct a spatial coordinate system. The virtual nodes of the holographic three-dimensional model include virtual base 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. Among them, the virtual nodes at the structural connection of the holographic three-dimensional model are used as virtual key nodes, and the virtual nodes at the trisection points of the volume of the holographic three-dimensional model are used as virtual matching nodes, and obtain the virtual node coordinates , , where is the number of virtual nodes;

[0067] Take the holographic three-dimensional model as a virtual test model and the spatial coordinate system as a reference test framework.

[0068] Further explanation: Using structured light scanning technology to scan a standard metal structure 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. Determine the center point in the holographic three-dimensional model. The selection of the center point corresponds to the centroid of the standard metal component. Establish a spatial rectangular coordinate system based on the center point. The virtual nodes of the holographic three-dimensional model include virtual base 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. At the same time, the virtual nodes at the volume trisection points are used as virtual matching nodes. Obtain the coordinates of each virtual node based on the spatial coordinate system.

[0069] In one embodiment, the environment configuration module includes:

[0070] Define the test metal structure as the test structure. Place the test structure into the reference test framework. The real nodes of the test structure include base nodes, key nodes, and matching nodes. The real nodes evenly fill the entire test structure and the distance between adjacent real nodes is equal. Among them, the real nodes at the connection positions of the test structure are used as key nodes, and the real nodes at the trisection points of the test structure volume are used as matching nodes. Obtain the real node coordinates , , where is the number of real nodes;

[0071] Coincide the virtual matching nodes and the matching nodes to make the test structure coincide with the virtual test model;

[0072] Define the distance between the real nodes and the virtual nodes as the node offset including the base node offset , the key node offset , the matching node offset . Define the base nodes and the matching nodes as non-key nodes. The node offset of the non-key nodes is ;

[0073] Among them, the distance between the virtual base node and the base node is the base 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;

[0074] Obtain the number of virtual nodes and the number of real nodes , obtain the weight of the key nodes and the weight of the non-key nodes , where the non-critical nodes include the base nodes and the matching nodes, and the number of virtual nodes is defined and the number of real nodes The ratio of the absolute value of the difference between them to the number of virtual nodes is the node loss rate , that is, , where is the node loss rate.

[0075] Further explanation: Place the test structure in a three-dimensional Cartesian coordinate system. Set the real nodes to uniformly fill the entire test structure, and the distance between adjacent real nodes is equal and equal to the distance between virtual nodes. Take the real nodes at the joints of the test structure as the critical nodes, and the real nodes at the one-third points of the volume as the matching nodes. Take the coincidence of the matching nodes and the virtual matching nodes as the coincidence standard. If the matching nodes and the virtual matching nodes cannot be completely coincident, it means that the test structure has defects in shape and size and is a non-conforming product. After the test structure coincides with the holographic three-dimensional model, define the node offset of each corresponding node, and at the same time count the number of virtual nodes and real nodes. Take the ratio of the absolute value of the difference between the two to the number of virtual nodes as the node loss rate to indicate whether the test structure is damaged.

[0076] In one embodiment, the performance definition module includes:

[0077] Obtain the structure information of the standard metal structure, including dimensional parameters, chemical composition of the metal, tensile strength, elongation, fatigue strength, hardness, and corrosion resistance;

[0078] Define preset performance indicators according to the structure information of the standard metal structure, including preset dimensional parameters, preset tensile strength indicators, preset hardness indicators, preset fatigue strength indicators, and preset corrosion resistance indicators, where the preset dimensional parameters include preset node offset and preset node loss rate.

[0079] Further explanation: Analyze the structural information and materials of the standard metal structure to obtain the performance indicators of the standard metal structure. Define preset performance indicators 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 scissor, with its dimensional ratio being a total length of 20 cm, a blade length of 7 cm, a grip length of 13 cm, a blade thickness of 0.2 cm, the chemical composition including iron, chromium, nickel and other alloy elements, the tensile strength being between 500 and 1500 MPa, the elongation rate being 3% - 4% (i.e., the elongation length being 0.6 - 0.8 cm), the fatigue strength being 200 - 400 MPa, the hardness being 200 - 300 Rockwell hardness, and the corrosion resistance being expressed as a corrosion rate of 0.1 - 0.2 mm / year. If the preset performance indicators are dimensionless values, then the preset dimensional parameter indicators can be defined as a preset node offset of 0.3, a preset node loss rate of 1.5%, a preset tensile strength indicator range of 0 - 1500, a preset hardness indicator range of 0 - 300, a preset fatigue strength indicator range of 0 - 400, and a preset corrosion resistance indicator of 0.01.

[0080] In one embodiment, the test module includes:

[0081] Testing the test structure placed in the reference test framework includes non-destructive testing, performance testing and corrosion resistance testing;

[0082] Among them, the steps of non-destructive testing are: Obtain the coordinates and quantities of the real nodes and virtual nodes, and calculate the node offset of the offset nodes , where the coordinates of the real nodes are , and the coordinates of the virtual nodes are , and at the same time calculate the node loss rate , if Both meet the preset dimensional parameters, indicating that the test component passes the non-destructive test;

[0083] Construct a performance testing and corrosion resistance testing environment for the test structure that has passed the non-destructive test, and conduct performance testing and corrosion resistance testing, with the test results being quantified;

[0084] Conduct a composite test on the test structure that has passed the performance testing and corrosion resistance testing to obtain the usage situation of the test component in a complex environment.

[0085] Further explanation: Conduct non-destructive testing on the test component placed in the space coordinate system and coinciding with the holographic three-dimensional model, where Represent the coordinates of the real nodes and virtual nodes 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 indicates that there is a large dimensional error in the structure at that place, which does not meet the design requirements. On the other hand, when the node loss rate of the test structure is too high, it indicates that there may be structural deficiencies or redundant structures in the test structure, which also does not meet the design requirements. For example, for non-destructive testing of medical mobile scissors, the number of virtual nodes and real nodes of the medical surgical scissors obtained are 20,000 and 19,800 respectively. Calculate the node offset of the offset nodes. 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, through calculation, the node loss rate is , 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. Only when the node offset and node loss rate simultaneously meet the preset dimensional parameters can the non-destructive test be judged to pass. Perform the next performance test, corrosion resistance test, and composite test on the test components that pass the non-destructive test to further measure the performance of the structure.

[0086] In one embodiment, the steps of constructing the performance test and corrosion resistance test environment, performing the performance test and corrosion resistance test, and representing the test results quantitatively are as follows:

[0087] Define the performance factors of the test structure nodes including the tensile strength performance factor , the hardness performance factor , the fatigue strength performance factor , and the corrosion resistance performance factor ;

[0088] Among them, the tensile strength performance factor includes the key node tensile strength performance factor and the non-key node tensile strength performance factor , the hardness performance factor includes the key node hardness performance factor and the non-key node hardness performance factor , the fatigue strength performance factor includes the key node fatigue strength performance factor and the non-key node fatigue strength performance factor , the corrosion resistance performance factor includes the key node corrosion resistance performance factor and the non-key node corrosion resistance performance factor ;

[0089] Construct the environments for performance testing and corrosion resistance testing, including the tensile force applied to the test structure, pressure, the frequency of reusing the test structure, and the coverage of corrosive substances;

[0090] Define the tensile test results as including the tensile test results of critical nodes and the tensile test results of non-critical nodes , define the hardness test results including the hardness test results of critical nodes and the hardness test results of non-critical nodes , define the fatigue strength test results including the fatigue test results of critical nodes and the fatigue test results of non-critical nodes , define the corrosion resistance test results including the corrosion resistance test results of critical nodes and the corrosion resistance test results of non-critical nodes ;

[0091] Calculate the product of the node offset and the performance factor to obtain the performance strength of the test structure, that is, the tensile test result is , the hardness test result is , the fatigue strength test result is , the corrosion resistance test result is ;

[0092] 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 indicates that the test structure passes the performance test and corrosion resistance test.

[0093] Further explanation, 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, and correspond to critical nodes and non-critical nodes respectively. The performance factors are also dimensionless values. Since the stress situation at the joints of the test structure is more complex than that of other components, and due to different usage functions, the structure is different from other components, the performance factors of critical nodes will be higher than those of other non-critical nodes. Taking medical scissors as an example in the test process, in the test structure of medical scissors, the real nodes at the joint of the two blades are regarded as critical nodes. The tensile strength performance factor of the critical node is defined as 1550, and that of the non-critical node is 1500. The hardness performance factor of the critical node is defined as 350, and that of the non-critical node is 300. The fatigue strength performance factor of the critical node is defined as 450, and that of the non-critical node is 400. The corrosion resistance performance factor of the critical node is defined as 0.05, and that of the non-critical node is 0.04. The unit of the node offset is millimeter, but only the numerical value is taken for calculation. After defining each performance factor, the environment required for the test is constructed. For the tensile strength test, a tensile testing machine is used to apply tensile force at a constant rate until obvious deformation occurs to the medical scissors, and calculate If it is less than 1500, it means that the medical scissors fail the tensile strength test. For the hardness test, a press is used to apply a pressure of 950 N to the medical scissors, and calculate If it meets the preset hardness index range of 0 - 300, it passes the hardness test. In the fatigue strength test, the normal operation of the medical scissors is simulated 10,000 times, and calculate If it meets the preset fatigue strength index range of 0 - 400, it means that the test structure passes the fatigue test. For the corrosion resistance test, a humid and pH-imbalanced environment is created, and the medical scissors are exposed to this environment for one day, and calculate If it is less than 0.01, it means that it passes the corrosion resistance test. The setting of the node performance factors for different test structures should be based on the structural information, material information, and usage scenarios of the test structure.

[0094] 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 situation of the test component in a complex environment are as follows:

[0095] Calculate the comprehensive performance factor of the test structure as:

[0096]

[0097] Calculate the comprehensive test result of the test structure based on the comprehensive performance factor as , where is the comprehensive test result.

[0098] Furthermore, a composite test is performed on the test structures that have passed the performance test and the corrosion resistance test. This test will apply all test environments to the test structure simultaneously. The test structure will be subjected to external forces simultaneously and the fatigue strength test will be carried out in a humid or pH-unbalanced environment. For example, a medical surgical scissor is repeatedly struck and then reused underwater 10,000 times. The values of the node offset and the composite performance factor are calculated, and the test results are obtained by comparing with various preset performance indicators. This test is only used to observe the performance limit of the test structure under complex conditions.

[0099] In one embodiment, the analysis module includes:

[0100] Obtain the test results of the test structures that have failed the performance test and the corrosion resistance test, and calculate the offset direction between the real nodes and the virtual nodes and the node distribution of the test structure after the test;

[0101] Express the coordinates of the virtual nodes and the real nodes as vectors respectively, and the offset direction is expressed as where indicates that based on the offset direction analysis, during the test process, whether the test structure is subjected to other forces, judge the source of the other forces, and analyze whether the test structure has design defects;

[0102] Perform an equal-volume division on the test structures that have failed the performance test and the corrosion resistance test. Divide the test structure into a finite number of equal-volume spatial units, define a preset node density, count the number of nodes in the spatial unit, calculate the node density in the spatial unit, and analyze the spatial units with a node density exceeding the preset node density to determine whether there are design defects.

[0103] Furthermore, for the test components that fail the performance test and the anti-corrosion test, analyze the node offset direction and node density. During the test, the test components will exhibit reasonable deformation. For example, in a tensile test, the test structure will extend along the direction of the acting force, and at the same time, 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 determined that the design structure in the area has defects and needs further improvement. At the same time, when deformation occurs during the test, the nodes will gather in a certain area. When the node density in a certain area is too high, it indicates that the stress in this area is relatively concentrated, and it is judged whether this phenomenon is caused by structural defects or material reasons. For example, in the hardness test of medical surgical scissors, apply pressure to the medical surgical scissors to cause deformation, divide the medical surgical scissors into twenty equal-volume units, measure the node density of each unit. When the node density of a certain unit is too high, it indicates that the stress situation in this area is different from that of other units, and further analyze the area where the node belongs to determine whether it fails the test due to design defects.

[0104] An intelligent testing method for metal structure manufacturing, comprising:

[0105] Scan a 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 framework, and create virtual nodes of the virtual test model at a preset distance, including virtual basic nodes, virtual key nodes, and virtual matching nodes;

[0106] Define the test metal structure as a test structure, place the test structure in the reference test framework, construct real nodes of the test structure at a preset distance, including basic nodes, key nodes, and matching nodes, overlap the virtual test model with the test structure, and define the distance between the real nodes and the virtual nodes as the node offset.

[0107] Obtain the performance indicators of the standard metal structure, and define preset performance indicators based on the performance indicators.

[0108] Test the test structure, including non-destructive testing, performance testing, corrosion resistance testing, and composite testing, where the performance testing includes tensile strength testing, hardness testing, and fatigue strength testing.

[0109] Analyze the test structure that fails the performance test and the corrosion resistance test, obtain an analysis report, and modify the technical solution.

[0110] As described above, it is only the specific implementation manner of the present application. However, the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims described above.

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. The virtual nodes at the connection of the virtual test model are virtual key nodes, and the virtual nodes at the third division of the volume are 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, and overlaps the virtual test model with the test structure; The real nodes at the connection of the test structure are key nodes, and the real nodes at the points where the volume is divided into three equal parts are matching nodes; The distance between the real node and the virtual node is the node offset , the basic nodes and matching nodes are non-critical nodes; 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, it performs nondestructive testing, performance testing, corrosion resistance testing and composite testing on the test structure. The performance testing includes tensile strength testing, hardness testing and fatigue strength testing; Steps for Performance Testing and Corrosion Testing: Defining the Tensile Strength Performance Factor , hardness performance factor , fatigue strength performance factor , Corrosion resistance factor ; Including key node tensile strength performance factors and non-critical node tensile strength performance factors , Including key node hardness performance factors and non-critical node hardness performance factor , Including key node fatigue strength performance factors and non-critical node fatigue strength performance factors , Including key node corrosion resistance factors and non-critical node corrosion resistance factor ; Constructing the test environment, including the tensile forces, compressive forces, frequency of repeated use of the test structure, and corrosive material coverage applied to the test structure; Tensile test results Including tensile test results at key nodes Tensile test results of non-critical nodes , hardness test results Including key node hardness test results and non-critical node hardness test results , fatigue strength test results Including key node fatigue test results and non-critical node fatigue test results , Corrosion resistance test results Including corrosion test results of key nodes Corrosion test results of non-critical nodes : , , , , , is the key node offset, is the non-critical node offset; like , , , If the corresponding preset tensile strength index, preset hardness index, preset fatigue strength index, and preset corrosion resistance index are met, it means that the test structure has passed the performance test and the corrosion resistance test; The composite test steps are: Calculate the comprehensive performance factor: ； is the performance weight of the key node, is the performance weight of non-critical nodes and the comprehensive test results ; 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 into 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, and obtain the real node coordinates , ,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; Node offset Include base node offset , key node offset , Matching node offset , the node offset of non-critical 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 1, 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 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.

7. 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 6, 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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