Part measurement equipment library, method library construction method and computer equipment

Abstract

The invention discloses a part measurement equipment library and method library construction method and computer equipment, and the method comprises the steps: based on a part design model, extracting part geometric features, dimensional form and location tolerances, production scenes and material attributes, constructing an equipment selection decision matrix, and outputting a measurement equipment recommendation list through multi-dimensional weighted evaluation; the method comprises the following steps: establishing a structured measurement equipment library, and constructing a multi-dimensional capability matrix comprising a technical dimension, an economic dimension, an efficiency dimension, an environment dimension and a special capability dimension for various measurement equipment; a measurement method library is established based on the type of measurement equipment and to-be-measured features, and a measurement path is adaptively generated. According to the invention, the problems of excessive dependence on artificial experience, strong equipment selection subjectivity, low measurement efficiency and the like in the traditional detection process can be effectively solved, the detection process is promoted to develop towards the directions of standardization, automation and knowledge, and reliable measurement support is provided for intelligent manufacturing.

Description

Technical Field

[0001] This invention belongs to the field of industrial digital inspection and intelligent manufacturing technology, and in particular relates to a method for constructing a parts measurement equipment library and method library, as well as computer equipment. Background Technology

[0002] In the industrial manufacturing sector, the accuracy and reliability of measurement technology have become core supports for ensuring product quality and driving technological innovation. However, the current measurement field faces multiple challenges, including chaotic equipment management, inconsistent methodologies, and poor data compatibility, which severely restrict the digital transformation and upgrading of the testing industry and its technological progress. From a technical perspective, the heterogeneity of measurement equipment and the fragmentation of measurement methods have created significant technical bottlenecks. Measurement equipment from different manufacturers uses different data formats and transmission protocols, leading to serious compatibility issues when fusing cross-domain data. Currently, hardware equipment and methodological standards are severely disconnected in the measurement system.

[0003] In industrial practice, the traditional measurement management model has fallen into a vicious cycle of "manual recording - data silos - delayed decision-making", and the selection of measurement equipment and measurement methods is heavily dependent on the experience of process personnel. In summary, the current problems in the measurement field, such as chaotic equipment management, fragmented methodologies, and poor data compatibility, have become key bottlenecks restricting the construction of a manufacturing powerhouse and technological innovation. There is an urgent need to establish a systematic library of measurement equipment and methods, improve equipment utilization through standardized management, reduce measurement errors by unifying technical specifications, and achieve data interconnection and value extraction, thereby providing solid metrological technical support for high-quality development. Summary of the Invention

[0004] The purpose of this invention is to provide a method for constructing a library of measurement equipment and methods for parts, a computer device, a computer-readable storage medium, and a computer program product, which can solve problems such as equipment selection relying on manual experience, lack of standardization of measurement methods, and difficulty in data integration in the traditional parts inspection process.

[0005] To achieve the above objectives, one aspect of the present invention provides a method for constructing a library of part measuring devices and a library of methods, comprising: Step S1: Based on the part design model, extract the part's geometric features, dimensional and positional tolerances, production scenario and material properties, construct the equipment selection decision matrix, and output a recommended list of measuring equipment through multi-dimensional weighted evaluation; Step S2: Establish a structured measurement equipment library and construct a multi-dimensional capability matrix for various types of measurement equipment, including technical, economic, efficiency, environmental, and special capability dimensions. Step S3: Based on the type of measuring equipment and the characteristics to be measured, establish a measurement method library and adaptively generate measurement paths.

[0006] Another aspect of the present invention provides a computer device including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described above.

[0007] Another aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0008] Another aspect of the present invention provides a computer program product including a computer program that, when executed by a processor, implements the steps of the method described above.

[0009] The method for constructing a library of part measurement equipment and methods according to the above-mentioned aspects of the present invention, as well as the computer equipment, computer-readable storage medium, and computer program product, can solve the problems of equipment selection relying on manual experience, lack of standardization of measurement methods, and difficulty in data fusion in the traditional part inspection process. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the present invention, the accompanying drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort: Figure 1 This is a flowchart of a method for constructing a parts measurement equipment library and a method library according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a device selection decision matrix constructed according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a measurement device library constructed according to an embodiment of the present invention; Figure 4 This is a schematic diagram of a measurement method library constructed according to an embodiment of the present invention; Figure 5 This is a structural diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0011] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0012] One embodiment of the present invention provides a method for constructing a library of part measurement equipment and a library of methods, such as... Figure 1 As shown, the method for constructing the part measurement equipment library and method library in this embodiment of the invention includes steps S1-S3.

[0013] Step S1: Construct a multi-dimensional device selection decision matrix Based on the part design model, feature types (regular bodies, curved surfaces, microstructures) are identified through geometric topology analysis. At the same time, combined with dimensional and geometric tolerance requirements, production scenarios (such as batch, cycle time, online / offline) and material properties (reflectivity, light transmission, rigidity, etc.), an equipment selection decision matrix is ​​constructed, and a recommended list of measuring equipment is output to achieve intelligent recommendation of measuring equipment.

[0014] Preferably, in step S1, the geometric topology analysis refers to selecting appropriate measuring equipment based on the classification of the part's geometric features. This analysis is mainly categorized into regular geometric bodies, freeform surfaces, and micro-features, analyzed from the perspective of measurability. For regular geometric bodies, dimensional / positional tolerances are the primary decision-making factor; for freeform surfaces, morphology and profile tolerances are the primary decision-making factor; and for micro-features, the evaluation focuses on assessing the feasibility of measurement. Based on this, suitable measuring equipment, such as a coordinate measuring machine, a line laser scanner, or a structured light scanner, is selected.

[0015] The dimensional and geometric tolerance requirements in the equipment selection decision matrix refer to the reasonable evaluation based on the measurement accuracy requirements of each measuring device, to ensure that the equipment accuracy matches the tolerance requirements.

[0016] The scenario constraints generated in the equipment selection decision matrix refer to fully considering factors such as single-piece / small-batch, large-batch / online inspection, and cycle time requirements, and determining the priority of measuring equipment based on factors such as the flexibility and efficiency of equipment measurement, and assigning appropriate selection weights to the measuring equipment.

[0017] The material property requirements in the equipment selection decision matrix refer to the quantitative analysis of the part material, covering indicators such as reflectivity and transparency. For special parts such as thin-walled parts, the measurability of the measuring equipment is emphasized.

[0018] Step S2: Establish a measurement equipment library and capability matrix Integrate various measuring devices (such as coordinate measuring machines, line laser scanners, structured light scanners, trackers, etc.). For each type of device, establish a multi-dimensional capability model, including technical parameters (accuracy, range, dynamic performance), economics (cost, energy consumption), efficiency (measurement time, preparation time), environmental adaptability (temperature and humidity, vibration resistance), and special measurement capabilities (such as deep holes, thin-walled parts, and high-reflectivity surface treatment).

[0019] Preferably, in step S2, taking a common device as an example, the specific contents of its capability matrix are as follows: For coordinate measuring machines (CMMs), the technical dimensions include not only static parameters such as spatial accuracy, measurement range, and probe type, but also dynamic parameters such as speed-accuracy decay curve, maximum acceleration / emergency stop distance, and multi-probe replacement time; the economic dimensions include purchase cost, operating cost, and maintenance cost; the efficiency dimensions include measurement time, preparation time, and batch processing capability; the environmental dimensions include temperature compensation accuracy, vibration sensitivity threshold, air flotation stability, and safety requirements; and special measurement capabilities include deep hole measurement ratio and micro-feature measurement.

[0020] For scanners, technical dimensions include static parameters such as accuracy, measurement range, reference working distance, scanning depth, field of view, number of line lasers, device size and weight, and dynamic parameters such as scanning speed. Economic and efficiency dimensions are similar to those of coordinate measuring machines. Environmental dimensions include surface adaptability matrix and ambient light interference resistance. Special measurement capabilities include the ability to quickly measure easily deformable surfaces and contours.

[0021] Step S3: Construct a measurement method library and path generation mechanism Based on the selected equipment type and the features to be measured, a measurement method library is established to automatically generate measurement paths adapted to different surface shapes, tolerances, and material properties. For coordinate measuring machines (CMMs), probes are selected based on feature elements, sampling strategies are set appropriately, coordinate systems are established, and tooling schemes are selected. For scanning measurements, full-area measurement of the part is achieved through viewpoint planning, multi-view stitching, and data integrity assurance mechanisms. Simultaneously, adaptive adjustment of measurement point density and path optimization based on tolerance requirements are supported.

[0022] Preferably, in step S3, the measuring equipment includes a coordinate measuring machine (CMM), a line laser scanner, and a structured light scanner, etc.; the step of adaptively generating a suitable measurement path according to different surface shapes and tolerances involves the following steps: For the CMM, it is necessary to generate the feature elements to be measured by the CMM based on the standard inspection model of the part, reasonably determine the tooling clamping position, establish a measurement coordinate system construction method, select appropriate probes for point sampling according to the specifications for conventional geometric features, and adaptively sample points for free-form surfaces based on curvature. Finally, path planning is performed based on the measurement points to generate a reasonable CMM measurement path program; For the line laser scanner, it is necessary to generate the feature elements to be measured based on the standard inspection model of the part, reasonably select the tooling fixture, determine the part measurement coordinate system, and generate measurement points and measurement paths by densifying the viewpoints of the bounding box and the principal normal according to the arc path. After the initial scan, the missing areas of each feature scan are clustered, and a secondary scan measurement path is generated based on the cone-shaped surrounding measurement; For the structured light scanner, the difference from the line laser scanner is that it needs to perform static and stable measurements at the measurement points, but it also requires a measurement data integrity check.

[0023] The following example provides a more detailed explanation of the method for constructing the parts measurement equipment library and method library according to an embodiment of the present invention.

[0024] In step S1, the device selection decision matrix is ​​constructed. Figure 2 This is a schematic diagram of a device selection decision matrix constructed according to an embodiment of the present invention.

[0025] like Figure 2 As shown, first import the part's CAD model (such as STEP, IGES, or Catia format) and analyze its geometric features.

[0026] 1) Preliminary screening based on feature type: For regular geometric shapes, such as planes, cylinders, and holes, line laser scanners are preferred because their relatively regular shapes offer high efficiency and accuracy in measuring these features. For example, in measuring the cylindrical dimensions of an automotive engine block, a line laser scanner can quickly acquire relevant data about the cylindrical surface.

[0027] Freeform surfaces, such as blades and mold cavities, are highly complex features. Line laser or structured light scanners are better able to capture their surface morphology, so these two types of equipment are recommended. Taking aero-engine blades as an example, their surface shapes are complex, and structured light scanners can acquire high-precision surface data through multi-angle scanning.

[0028] For microstructures (micro-features), such as micro-holes and sharp edges, coordinate measuring machines (CMMs) are considered because their high precision and flexible probe systems enable more accurate measurement of these minute features. For example, in measuring micro-holes on electronic chips, CMMs can accurately measure parameters such as the diameter and depth of the micro-holes.

[0029] 2) Precise matching based on tolerance requirements: When encountering features requiring high precision such as positional accuracy ≤ 0.01mm, only a high-precision coordinate measuring machine (CMM) can meet such stringent tolerance requirements; therefore, a high-precision CMM must be selected for measurement. For curved surfaces with high profile requirements, scanning equipment can better reconstruct the surface profile through dense point cloud data, thus scanning equipment is recommended. For example, in high-end mold manufacturing, the profile accuracy requirements for mold cavities are extremely high, and scanning equipment can ensure the accuracy of the measurement results.

[0030] 3) Make appropriate selections based on the production scenario: In small-batch inspection scenarios, to meet the diverse measurement needs of different parts, equipment with high flexibility is required, making flexible equipment a suitable choice. However, in large-scale online inspection scenarios, to ensure production efficiency, high-cycle, automated equipment is recommended. For example, on large-scale production lines for automotive parts, online inspection requires highly automated measurement equipment to meet the rapid production cycle requirements.

[0031] 4) Special considerations based on material properties: For highly reflective parts, light reflection can severely affect measurement accuracy. In such cases, it is necessary to adjust the light source or select equipment with strong anti-interference capabilities. For example, when measuring highly reflective metallic mirror parts, measuring equipment with a special light source configuration can be used. For thin-walled parts, due to their easily deformable characteristics, low-force or non-contact measurement methods must be used to avoid damage to the parts during the measurement process. For example, when measuring thin-walled parts in the aerospace field, non-contact optical measuring equipment is typically selected.

[0032] After comprehensively considering the above factors, the decision matrix uses scientific methods such as the analytic hierarchy process (AHP) or entropy weighting to calculate the comprehensive score of each device under different dimensions, and then outputs the recommended ranking of devices to provide users with scientific and reasonable device selection suggestions.

[0033] In step S2, a measurement device library is constructed. Figure 3 This is a schematic diagram of a measurement equipment library constructed according to an embodiment of the present invention (taking a coordinate measuring machine model as an example).

[0034] Taking a coordinate measuring machine as an example, such as Figure 3 As shown, the detailed construction of its capability matrix is ​​as follows: 1) Technical dimension: Spatial length error is strictly controlled within ≤ (0.3 + ... L Within the range of (300) μm, where L For length measurement, this ensures the coordinate measuring machine maintains high accuracy across various measurement lengths. It also boasts a high maximum acceleration to meet the demands of rapid measurement. A variety of probe types are available, including trigger-type and scanning probes, allowing users to flexibly choose according to different measurement tasks. Short multi-probe switching time improves measurement efficiency and reduces equipment setup time. For example, when measuring multiple features of complex parts, different types of probes can be quickly switched, improving overall measurement efficiency.

[0035] 2) Economic Dimension: The equipment is reasonably priced, taking into full account the user's procurement costs. The average annual maintenance cost is low, ensuring the equipment's economic viability over long-term use. Its energy consumption level meets energy-saving standards, reducing energy consumption during operation. This makes the coordinate measuring machine (CMM) highly cost-effective and suitable for businesses of different sizes.

[0036] 3) Efficiency: Single-point measurement time is only 0.5 seconds, greatly improving measurement speed. It also supports automatic batch loading and unloading, significantly improving measurement efficiency, reducing manual intervention, and lowering labor intensity in large-scale measurement tasks. For example, in the batch measurement of automotive parts, the automatic loading and unloading function enables continuous and efficient measurement work.

[0037] 4) Environmental Dimension: The operating temperature range is set at 18-22℃. This temperature range ensures that the measurement accuracy of the coordinate measuring machine is not affected by temperature fluctuations. There are specific requirements for air-bearing vibration isolation. The air-bearing device reduces the interference of external vibrations on measurement accuracy, ensuring stable operation in various working environments. When selecting a coordinate measuring machine, it is necessary to consider whether it meets the environmental requirements.

[0038] 5) Special Capabilities: It possesses the capability to measure deep holes with a depth-to-diameter ratio of 5:1, meeting the deep hole measurement needs of some special parts. Simultaneously, it has a micro-thread scanning function, enabling precise measurement of minute thread structures. For example, in the manufacturing of some aero-engine components, the measurement of deep holes and micro-threads requires the coordinate measuring machine to possess these special capabilities.

[0039] For scanners, their capability matrix, in addition to having similar dimensions to that of coordinate measuring machines, includes the following characteristics: 1) Technical Dimensions: The field of view determines the area that the scanner can cover in a single measurement; a larger field of view improves measurement efficiency. Increasing the number of line lasers increases the density of point cloud data acquisition, improving measurement accuracy. A fast point cloud acquisition rate allows for the rapid acquisition of large amounts of measurement data. Furthermore, software data fusion capabilities effectively integrate data acquired from different angles and locations to generate a complete 3D model.

[0040] 2) Environmental Dimension: The surface adaptability matrix reflects the scanner's ability to adapt to parts with different materials and surface roughness. High ambient light immunity enables it to operate normally in complex lighting environments, reducing the impact of ambient light on measurement accuracy. For example, in some outdoor measurement scenarios or workshops with complex lighting conditions, scanners with high ambient light immunity can work stably.

[0041] In step S3, a measurement method library is constructed. Figure 4 This is a schematic diagram of a measurement method library constructed according to an embodiment of the present invention (taking coordinate measuring machine measurement as an example).

[0042] 1) Coordinate measuring machine measurement path generation: Feature recognition: First, it accurately identifies the features to be measured, whether they are conventional geometric features such as planes and cylinders, or complex freeform surface features, it can accurately distinguish them.

[0043] Coordinate system and safety plane setting: Based on the part's design requirements and measurement needs, a reasonable coordinate system is set to ensure the accuracy and consistency of measurement data. Simultaneously, a safety plane is set to prevent collisions between the probe and the part or tooling during measurement, ensuring the safety of the measurement process.

[0044] Probe selection: Select the appropriate probe based on the feature type. For example, for deep hole measurement, use a star-shaped probe, whose special structure allows it to penetrate deep into the hole for measurement.

[0045] Point sampling sequence planning: For cylindrical features, a spiral point sampling method is adopted. This method can uniformly acquire measurement points on the cylindrical surface, providing a more comprehensive reflection of the cylinder's shape and size information. Through the above steps, a path program that meets the measurement requirements is finally generated, enabling accurate measurement of the part.

[0046] 2) Line laser scanning path generation: Bounding box calculation: First, calculate the bounding box of the part to determine the approximate range of the part in space, which provides a basis for subsequent viewpoint planning.

[0047] Initial viewpoint planning: Plan the initial viewpoint sequence around the bounding box of the part, usually using a surround scan method to ensure that data on the part surface can be obtained from multiple angles.

[0048] Initial scan and missing region identification: After the initial scan, the system analyzes the scan data and identifies the missing regions for each feature scan.

[0049] Scanning path generation: For missing areas, a scanning path is generated based on the principle of cone-shaped surround measurement to ensure that complete part surface data can be obtained.

[0050] Point cloud stitching and hole repair: The data from the initial scan and the supplementary scan are stitched together to form a complete point cloud model.

[0051] 3) Structured light scanning path generation: Parameter settings: The exposure time and grating period are set based on the complexity of the surface to ensure that a clear and accurate measurement image can be obtained. The more complex the surface, the longer the exposure time and the finer the grating period may be required.

[0052] Multi-angle shooting: By shooting from multiple angles, image information of the part surface is obtained from different directions, providing a rich data foundation for subsequent data stitching.

[0053] Automatic splicing: Automatic splicing of measurement data is achieved by using marker points, improving the accuracy and efficiency of splicing.

[0054] Data integrity verification: Perform integrity verification on the spliced ​​data to ensure that there are no omissions or errors in the measurement data and to guarantee the reliability of the measurement results.

[0055] In summary, this invention discloses a method for constructing a parts measurement equipment library and a methods library. This method systematically analyzes the three-dimensional topological features, dimensions and geometric tolerances, production scenario constraints, and material physical properties of the parts' design models to construct a multi-dimensional equipment selection decision matrix, achieving intelligent recommendation and precise matching of measurement equipment. A measurement equipment library is established, integrating various devices such as coordinate measuring machines, line laser scanners, structured light scanners, and trackers. A standardized capability matrix is ​​established based on technical performance, economy, efficiency, environmental adaptability, and special measurement capabilities. A measurement methods library is established, adaptively generating measurement paths according to equipment type and parts characteristics, enabling high-precision digital measurement of complex geometric features such as free-form surfaces and microstructures. This invention effectively solves the problems of excessive reliance on human experience, strong subjectivity in equipment selection, and low measurement efficiency in traditional inspection processes, promoting the development of inspection processes towards standardization, automation, and knowledge-based approaches, and providing reliable metrological support for intelligent manufacturing.

[0056] Compared with traditional methods, the method for constructing the part measurement equipment library and method library in this embodiment of the invention has the following advantages: 1. Scientific Decision-Making: By constructing a multi-dimensional decision matrix, the various characteristics and measurement requirements of parts are comprehensively considered, effectively reducing the interference of subjective human factors. This makes equipment selection more scientific and reasonable, improving the consistency and accuracy of equipment selection. For example, when faced with complex part measurement tasks, traditional methods may lead to inappropriate equipment selection due to differences in human judgment, while this invention can provide accurate equipment recommendations based on a scientific decision matrix.

[0057] 2. Measurement Standardization: Establishing a unified capability model and path generation specifications provides clear standards and procedures for the entire measurement process. This not only improves the repeatability of the inspection process, enabling different operators to obtain similar measurement results, but also enhances the reliability of the inspection process and reduces measurement errors caused by non-standard operations or inconsistent methods. For example, when measuring the same model of part in different factories, following the standards and specifications of this invention can ensure the consistency and accuracy of the measurement results.

[0058] 3. Significantly Improved Efficiency: The automated path generation function greatly reduces programming time, eliminating the need for operators to spend considerable time manually planning measurement paths. Simultaneously, the system supports batch and online inspection requirements, enabling rapid response to measurement tasks on the production line and improving production efficiency. In the large-scale production of automotive parts, it can quickly complete batch measurements, meeting the production line's cycle time requirements.

[0059] 4. High adaptability: It possesses the ability to scalably integrate new measurement equipment and algorithms, keeping pace with the development of measurement technology. Whether dealing with emerging complex parts or parts manufactured using new materials, it can meet measurement needs by integrating new equipment and algorithms. For example, with the application of new materials in the aerospace field, this invention can promptly integrate new equipment and algorithms suitable for measuring these materials.

[0060] 5. High System Integration: Supports integration with various enterprise management systems such as PLM (Product Lifecycle Management), MES (Manufacturing Execution System), and QMS (Quality Management System), enabling effective management of testing data throughout the entire product lifecycle. From measurement requirement planning in the product design phase to quality control during the production process and quality traceability in the after-sales phase, testing data can be smoothly transferred and shared between different systems, providing strong support for the enterprise's comprehensive quality management.

[0061] Embodiments of the present invention also provide a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores operating parameter data for various components. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements the steps of the method according to embodiments of the present invention.

[0062] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0063] Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of the embodiments of the present invention.

[0064] Embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the steps of the method of the embodiments of the present invention.

[0065] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for constructing a library of measuring equipment and methods for parts, characterized in that, include: Step S1: Based on the part design model, extract the part's geometric features, dimensional and positional tolerances, production scenario and material properties, construct the equipment selection decision matrix, and output a recommended list of measuring equipment through multi-dimensional weighted evaluation; Step S2: Establish a structured measurement equipment library and construct a multi-dimensional capability matrix for various types of measurement equipment, including technical, economic, efficiency, environmental, and special capability dimensions. Step S3: Based on the type of measuring equipment and the characteristics to be measured, establish a measurement method library and adaptively generate measurement paths.

2. The method according to claim 1, characterized in that, In step S1, the device selection decision matrix is ​​constructed as follows: Geometric features are categorized into regular geometric bodies, freeform surfaces, and micro-features, and appropriate measurement equipment is selected accordingly. Based on the dimensional and geometric tolerance requirements, the measurement accuracy of each measuring device is evaluated to ensure that the device accuracy matches the tolerance requirements; Based on the requirements of the production scenario, the priority of measuring equipment is determined according to the flexibility and efficiency of the equipment measurement. The testability of equipment is determined based on material properties.

3. The method according to claim 2, characterized in that, In step S1, the comprehensive scores of each device under different dimensions are calculated using the analytic hierarchy process or the entropy weight method, and the recommended ranking of the devices is output.

4. The method according to any one of claims 1-3, characterized in that, In step S2, the technical dimensions include measurement accuracy, measurement range, and dynamic performance; the economic dimensions include equipment cost and energy consumption; the efficiency dimensions include measurement time and preparation time; the environmental dimensions include temperature and humidity adaptability and vibration resistance; and the special capability dimensions include measurement capabilities for deep holes, thin-walled parts, and highly reflective parts.

5. The method according to any one of claims 1-3, characterized in that, In step S3, the types of measuring equipment include coordinate measuring machines, line laser scanners, and structured light scanners.

6. The method according to claim 5, characterized in that, The following generates the measurement path for the coordinate measuring machine: Identify the features to be tested, including conventional geometric features and freeform surface features; Determine the tooling clamping position, set the coordinate system according to the part's design requirements and measurement needs, and set a safety plane to avoid collisions between the probe and the part or tooling during the measurement process; For conventional geometric features, point sampling and measurement shall be performed in accordance with the specifications; for free-form surface features, point sampling and measurement shall be performed adaptively based on curvature. Based on the measurement points, a path is planned to generate the coordinate measuring machine measurement path.

7. The method according to claim 5, characterized in that, The measurement path for the line laser scanner is generated as follows: Generate the feature elements to be measured, select the tooling fixture, and determine the coordinate system for part measurement; Calculate the bounding box of the part to determine its approximate size in space; Plan the initial viewpoint sequence around the bounding box of the part; After the initial scan, the scan data is analyzed to identify the areas where each feature is missing. For the missing areas, a supplementary scanning path is generated based on the principle of cone-shaped surround measurement to ensure that complete part surface data can be obtained; The data from the initial scan and subsequent scans are stitched together to form a complete point cloud model.

8. The method according to claim 5, characterized in that, The measurement path for the structured light scanner is generated as follows: Exposure time and raster period are set based on surface complexity; By shooting from multiple angles, image information of the part's surface can be obtained from different directions; Automatic data stitching is achieved by using marker points; Perform integrity verification on the spliced ​​data to ensure that no measurement data is missing or incorrect.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-8.

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