Three-dimensional scanning control method and system based on target component characteristics

Abstract

The invention provides a three-dimensional scanning control method and system based on target component features, and relates to the technical field of three-dimensional scanning control, and the method comprises the steps: receiving a component scanning task, carrying out the feature recognition according to the component detection demands, determining the component detection feature index information, obtaining the component feature data, and collecting the three-dimensional scanning equipment information, and obtaining a scanning equipment feature data set, performing three-dimensional scanning control analysis, generating a three-dimensional scanning control decision, performing three-dimensional scanning on a target component, and obtaining a component scanning result. The technical problem that in the prior art, due to the fact that a scanning strategy is difficult to adjust according to specific component detection requirements in a three-dimensional scanning technology, the scanning efficiency is poor can be solved, feature recognition is carried out by combining the component detection requirements, customized scanning control is carried out according to the features of the target component, and the scanning efficiency is improved. And a three-dimensional scanning control decision is generated, so that the technical effect of improving the three-dimensional scanning efficiency is achieved.

Description

Technical Field

[0001] The present application relates to the field of three-dimensional scanning control technology, and in particular to a three-dimensional scanning control method and system based on target component features. Background Art

[0002] 3D scanning technology is a non-contact measurement technology that creates a 3D model of an object by capturing point cloud data on the surface of the object. With the advancement of computer technology, especially the development of data processing capabilities and algorithms, 3D scanning technology has been significantly improved. This includes faster scanning speeds, higher resolutions, and more accurate data processing capabilities. At present, when facing components of different types and sizes, existing 3D scanning equipment requires manual adjustment of parameters or replacement of equipment, which reduces the flexibility and adaptability of the scanning process and leads to insufficient scanning accuracy.

[0003] In summary, the prior art has a technical problem in that it is difficult to adjust the scanning strategy according to specific component inspection requirements using three-dimensional scanning technology, resulting in poor scanning efficiency. Summary of the invention

[0004] The purpose of this application is to provide a three-dimensional scanning control method and system based on target component features, so as to solve the technical problem in the prior art that the three-dimensional scanning technology is difficult to adjust the scanning strategy according to the specific component detection requirements, resulting in poor scanning efficiency.

[0005] In view of the above problems, the present application provides a three-dimensional scanning control method and system based on target component features.

[0006] In a first aspect, the present application provides a three-dimensional scanning control method based on target component features, and the three-dimensional scanning control method based on target component features is implemented by a three-dimensional scanning control system based on target component features, wherein the three-dimensional scanning control method based on target component features includes: receiving a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; performing feature recognition according to the component detection requirement, and determining component detection feature index information; obtaining component feature data of the target component; collecting basic information of a three-dimensional scanning device, and obtaining a scanning device feature data set; performing three-dimensional scanning control analysis according to the component detection feature index information, the component feature data, and the scanning device feature data set, and generating a three-dimensional scanning control decision; performing three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device, and obtaining a component scanning result.

[0007] In a second aspect, the present application further provides a three-dimensional scanning control system based on target component features, which is used to execute the three-dimensional scanning control method based on target component features as described in the first aspect, wherein the three-dimensional scanning control system based on target component features includes: a scanning task receiving module, the scanning task receiving module is used to receive a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; a feature recognition module, the feature recognition module is used to perform feature recognition according to the component detection requirement and determine component detection feature index information; a component feature data acquisition module, the component feature data acquisition module is used to obtain component feature data of the target component; a scanning device information acquisition module, the scanning device information acquisition module is used to collect basic information of a three-dimensional scanning device and obtain a scanning device feature data set; a three-dimensional scanning control analysis module, the three-dimensional scanning control analysis module is used to perform three-dimensional scanning control analysis according to the component detection feature index information, the component feature data and the scanning device feature data set, and generate a three-dimensional scanning control decision; a three-dimensional scanning execution module, the three-dimensional scanning execution module is used to perform three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device to obtain a component scanning result.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By receiving a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; performing feature recognition according to the component detection requirement, determining component detection feature index information; obtaining component feature data of the target component; collecting basic information of a three-dimensional scanning device, obtaining a scanning device feature data set; performing three-dimensional scanning control analysis according to the component detection feature index information, the component feature data and the scanning device feature data set, generating a three-dimensional scanning control decision; performing three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device, and obtaining a component scanning result. In other words, by performing feature recognition in combination with component detection requirements, performing customized scanning control according to the characteristics of the target component, and generating a three-dimensional scanning control decision accordingly, the technical effect of improving the efficiency of three-dimensional scanning is achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This is a flow chart of a three-dimensional scanning control method based on target component features of this application;

[0013] Figure 2 This is a schematic diagram of the structure of a three-dimensional scanning control system based on target component features in this application.

[0014] Explanation of the reference numerals: scanning task receiving module 11 , feature recognition module 12 , component feature data acquisition module 13 , scanning device information collection module 14 , three-dimensional scanning control and analysis module 15 , three-dimensional scanning execution module 16 . DETAILED DESCRIPTION

[0015] This application solves the technical problem in the prior art that it is difficult to adjust the scanning strategy according to the specific component detection requirements, resulting in poor scanning efficiency, by providing a three-dimensional scanning control method and system based on the characteristics of the target component. By combining the component detection requirements for feature recognition, customized scanning control is performed according to the characteristics of the target component, and a three-dimensional scanning control decision is generated accordingly, thereby achieving the technical effect of improving the three-dimensional scanning efficiency.

[0016] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0017] For example, please refer to the attached Figure 1 The present application provides a three-dimensional scanning control method based on target component features, wherein the three-dimensional scanning control method based on target component features is applied to a three-dimensional scanning control system based on target component features, and the three-dimensional scanning control method based on target component features specifically includes the following steps:

[0018] Step 1: receiving a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component.

[0019] Specifically, detailed information of the task is obtained, including the type, size, material and specific requirements of component detection of the target component. The target component can be a component with specific functions and shapes such as a trough-type condenser bracket or a collector tube bracket. Different target components have different detection requirements. It is necessary to clarify the information of the target component, including the name, type, expected use environment, etc. of the component, as well as the detection requirements of the target component, including specific requirements in terms of dimensional accuracy, surface quality, material properties, etc. For example, for a trough-type condenser bracket, it is necessary to accurately measure its matching dimensions with the condenser; while for the collector tube bracket, more attention is paid to its structural strength and heat resistance. By accurately understanding the characteristics and detection requirements of the target components, the pertinence of the scanning process and the accuracy of the results can be ensured.

[0020] Step 2: Perform feature recognition according to the component detection requirements to determine component detection feature index information.

[0021] Specifically, analyze the specific requirements of the target component, such as dimensional accuracy, surface quality, material properties, etc. According to the purpose and design of the component, analyze its geometric features, functional features and possible influencing factors. For the trough condenser bracket, pay attention to the bracket's geometric shape, angle accuracy, and coordination with the mirror surface. For the collector tube bracket, pay attention to the bracket's stability, load bearing capacity, and docking accuracy with the collector tube. According to the analysis results, determine the key characteristic indicators that need to be tested, mainly the location of the specific test point, the tolerance value of the test, etc. If the dimensional accuracy of the component needs to be tested, then the indicators include the maximum and minimum dimensions, tolerance values, etc.; if the surface quality needs to be tested, the indicators include surface roughness, defect size and distribution, etc. For each characteristic indicator, an acceptable error range and detection standard can be set. By determining specific monitoring indicators, ensure that the scanning process can focus on the most critical detection elements and improve the accuracy of the scan.

[0022] Step three: Obtain component feature data of the target component.

[0023] Specifically, it is achieved by using various sensors and measuring tools, such as laser scanners, optical sensors, contact probes, etc. According to the type of target component and the detection requirements, select appropriate measurement technology and parameters. Collect basic information related to the target component, perform feature recognition on this information, determine which features are critical and need special attention, and obtain component feature data, including but not limited to the size, shape, surface quality, material properties, etc. of the component. Obtain component feature data to ensure that the scanning process can be optimized according to the specific characteristics of the component, thereby generating a customized scanning strategy.

[0024] Step 4: Collect basic information of the 3D scanning device and obtain the scanning device feature data set.

[0025] Specifically, through various sensors, relevant information of the 3D scanning equipment is collected, such as the equipment model, manufacturer, scanning range, resolution, accuracy, scanning speed, etc., to obtain the scanning equipment information set. The information set is cleaned to obtain the scanning equipment feature data set, which records the relevant information of the scanning equipment and is used for subsequent scanning equipment layout analysis and control analysis, helping the system to generate the optimal scanning strategy based on the performance and capabilities of the scanning equipment, thereby improving the efficiency and effectiveness of the scanning process.

[0026] Step 5: Perform three-dimensional scanning control analysis based on the component detection feature index information, the component feature data and the scanning device feature data set to generate a three-dimensional scanning control decision.

[0027] Specifically, feature identification is performed on component detection requirements to obtain component detection feature index information; component feature data is obtained from the target component, including component geometry, size, surface quality and other information; performance information of the 3D scanning equipment is collected to obtain scanning equipment feature data sets, including the scanning accuracy, resolution, scanning speed, etc. of the equipment, and the scanning equipment is analyzed for layout, and the scanning equipment layout decision is determined, and then the scanning equipment control decision is generated, and the scanning equipment layout decision and control decision are integrated to obtain a comprehensive 3D scanning control decision, including determining the equipment scanning parameters, scanning path, scanning speed, etc. By planning and recording the 3D scanning control decision in detail, it is ensured that the 3D scanning process can be carried out in accordance with the established control decision, thereby improving the scanning efficiency and data quality.

[0028] Step six: Perform three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device to obtain a component scanning result.

[0029] Specifically, according to the previously generated scanning control decision, the 3D scanning equipment starts to operate, including laser profilers, optical scanners or other types of 3D scanning equipment. These devices acquire 3D information of the target component surface by emitting lasers or light and receiving reflected light signals. During the scanning process, the operating status and scanning data of the scanning equipment are monitored in real time, and the actual values ​​are compared with the set values ​​to promptly discover and solve problems that may occur during the scanning process, such as equipment failure and data loss. Based on the deviation information, the scanning control decision is optimized. After the scan is completed, the scanning data is collected to obtain the component scanning results. Ensure that the scanning process can be carried out according to the best control decision, so as to obtain accurate and reliable 3D scanning results.

[0030] Further, step three of this application includes:

[0031] The basic information of the target component is collected to obtain a component information set; feature recognition is performed according to the component information set to generate the component feature data.

[0032] Specifically, various sensors and measuring tools are used to obtain relevant information of the target component, such as the name, model, material type, design drawings, previous inspection data, etc. of the component, to form a comprehensive component information set. A laser profiler can be used to scan the target component to obtain the three-dimensional coordinate data of its surface. The distance from the object to the instrument is calculated by using the time difference between the emission and reception of the laser beam. A laser beam emitted by an infrared laser scans the entire surface of the object, and the signal reflected by the laser is received by the receiving module. According to the propagation speed of the laser and the time difference of the received signal, the distance of each point on the object is calculated to obtain the three-dimensional profile of the entire object. The point cloud data collected by the laser profiler is organized into a component information set, which includes text data, drawings, previous scanning results, etc. For example, for a trough-type condenser bracket, its basic dimensions such as length, width, thickness, and the shape and position of its interface with the condenser are collected. For a collector tube bracket, the strength and heat resistance data of its material and the geometry of its supporting structure are collected. After obtaining the component information set, feature recognition is performed based on this information, and recognition features are set. The component is automatically analyzed according to the features to identify the key features of the component, including the geometric features, physical features, and functional features of the component. Based on the results of feature recognition, the feature data of the component is generated, including the size, position, shape, tolerance requirements, etc. of each key feature. By obtaining the component feature data, it is ensured that the scanning results can meet specific detection requirements.

[0033] Further, step 4 of this application includes:

[0034] Collect basic information of the three-dimensional scanning device to obtain a scanning device information set; perform data cleaning based on the scanning device information set to obtain the scanning device feature data set.

[0035] Specifically, through various sensors and diagnostic tools, basic information about the 3D scanning equipment is collected, including the model, manufacturer, scanning range, resolution, accuracy, scanning speed, etc. of the equipment. For example, for a laser scanner, it may be necessary to collect parameters such as the model, scanning range, and point cloud density of its scanning head. For an optical scanning device, it may be necessary to understand the type, resolution, optical distortion and other characteristics of its lens. The collected information is integrated into a scanning device information set, which also includes the equipment's maintenance records, calibration status, historical performance, etc. The scanning device information set is cleaned to remove invalid data, correct erroneous data, fill in missing data, etc., to ensure the quality and accuracy of the data. Based on the cleaned data, a feature data set of the scanning device is generated, including various performance indicators of the device, such as scanning accuracy, resolution, scanning speed, etc. The scanning device feature data set is obtained through data cleaning, which improves the data quality.

[0036] Further, step five of this application includes:

[0037] A scanning device layout analysis is performed based on the component detection feature index information, the component feature data and the scanning device feature data set to determine a scanning device layout decision; a scanning device control analysis is performed based on the scanning device layout decision, the component detection feature index information, the component feature data and the scanning device feature data set to generate a scanning device control decision; and the scanning device layout decision and the scanning device control decision are integrated to obtain the three-dimensional scanning control decision.

[0038] Specifically, the component detection feature index information is the feature index determined from the component detection requirements, which defines the key information that needs to be extracted from the scan. The component feature data is the key feature of the target component, including the component's geometry, size, surface quality and other information. The scanning equipment feature data set is a data set related to the performance of the 3D scanning equipment, including the scanning accuracy, resolution, scanning speed and so on of the equipment. Use the component scanning layout feature record set to build an analysis model, input the detection requirements of the target component, the component's geometry and physical characteristics, and the performance and capabilities of the scanning equipment into the model, and determine the best layout of the 3D scanning equipment. For example, for components with complex geometry, it is necessary to select a scanning device with high resolution and scanning accuracy, and arrange it close enough to the component to ensure that all details can be captured. For large components, multiple scanning devices are required to perform collaborative scanning to cover the entire component. Determine the number, position, angle, scanning range and other parameters of the scanning equipment, determine the scanning equipment layout decision, and ensure that the scanning equipment can cover all the key features of the component.

[0039] According to the scanning equipment layout decision, combined with the component detection feature index information, component feature data and scanning equipment feature data set, the control parameters of the scanning equipment are analyzed, including scanning resolution, scanning speed, scanning range, light source intensity, etc. Based on the results of the control analysis, the control decision of the scanning equipment is generated, including the optimal working mode and parameter setting of the equipment, to ensure that the scanning equipment can work in the best state. Ensure that the layout plan and control strategy are compatible with each other and can work together to achieve the best scanning effect. For example, the layout position and angle of the equipment need to match the scanning path planning to ensure that high-quality data can be collected according to the established control strategy. The layout decision and control decision of the scanning equipment are integrated to form a complete three-dimensional scanning control decision, including determining the final placement position of the equipment, scanning angle, scanning path, scanning parameters, etc. Generate a customized scanning strategy based on the detection requirements of the target component, component characteristics and the characteristics of the scanning equipment, thereby improving the efficiency of the scanning process.

[0040] Furthermore, the present application also includes the following steps:

[0041] Obtain a component scanning layout feature record set; construct a scanning layout analysis model based on the component scanning layout feature record set; based on the component detection feature index information, the component feature data and the scanning device feature data set, obtain the scanning device layout decision according to the scanning layout analysis model.

[0042] Specifically, by analyzing and summarizing historical scanning tasks, all feature information related to component scanning layout is collected and recorded, including the placement position, scanning angle, scanning range, scanning parameters, etc. of the scanning equipment, as well as the detection requirements, geometric shape, material properties, and other features of the target component. For example, for the scanning of the trough condenser bracket, the record set includes the model, layout position, scanning range of the scanning equipment, and the size, shape, interface type, and other features of the bracket. For the scanning of the collector tube bracket, the record set includes the model, layout angle, scanning resolution of the scanning equipment, and the structure, material, heat resistance, and other features of the bracket. Based on the component scanning layout feature record set, a scanning layout analysis model is constructed to analyze and optimize the layout plan of the scanning equipment. Based on the content in the record set, the impact of different layout plans on the scanning results is predicted. The data in the record set is preprocessed to remove invalid data, correct erroneous data, fill in missing data, etc. Select the features that have the greatest impact on the scanning layout decision from the preprocessed data, and select a machine learning algorithm, such as a decision tree, support vector machine, or neural network, to train the model. After training, the model can quickly generate optimized layout plans based on new component features and scanning equipment parameters. Input component detection feature indicator information, component feature data, and scanning equipment feature data sets into the model to predict and determine the best scanning equipment layout plan. Use historical data and advanced analysis models to optimize future scanning tasks to improve the overall 3D scanning process. Reduce errors and duplication of work in the scanning process by building a scanning layout analysis model and providing scientific layout decisions for new scanning tasks.

[0043] Furthermore, step six of this application includes:

[0044] Perform three-dimensional scanning control according to the three-dimensional scanning control decision to obtain scanning control monitoring data; generate scanning control deviation information according to the three-dimensional scanning control decision and the scanning control monitoring data; and perform three-dimensional scanning optimization control according to the scanning control deviation information.

[0045] Specifically, according to the generated three-dimensional scanning control decision, the parameters of the three-dimensional scanning device, such as scanning resolution, scanning speed, scanning path, etc., are set. For example, if the decision indicates that high-resolution scanning is required, the system will adjust the resolution parameters of the scanning device. If the decision requires a specific scanning path, the system will plan the optimal scanning path and guide the scanning device to scan along the path. During the scanning process, the operating status and scanning data of the scanning device are monitored in real time to ensure the smooth progress of the scanning process. These monitoring data include the operating status of the scanning device, the quality of the scanning data, the scanning speed, the scanning range, etc. The actual scanning control monitoring data is compared with the three-dimensional scanning control decision, the deviation information is identified, and the scanning control deviation information is generated, including the difference between the actual value and the set value of the scanning parameter, and the possible impact of these differences on the scanning results. These deviation information reveals possible problems in the scanning process, such as insufficient equipment accuracy and unreasonable scanning path planning.

[0046] The scanning control strategy is adjusted based on the deviation information. For example, if the position deviation of the scanning device is found to be large, the system may need to re-plan the scanning path to improve the scanning accuracy. If the quality of the scanned data is found to be poor, the system may need to adjust the parameters of the scanning device, such as adjusting the scanning resolution. In addition, the scanning device will also be adjusted in real time to adapt to changes in the scanning process. For example, if the quality of the scanned data of a certain area is found to be poor during the scanning process, the system may immediately adjust the parameters of the scanning device, such as increasing the scanning density or changing the scanning angle, to improve the scanning effect of that area. By continuously optimizing the control, the system can continuously optimize the scanning control strategy based on the scan control deviation information and improve the effect of the scanning process.

[0047] Furthermore, the present application also includes the following steps:

[0048] The target component is evaluated according to the component scanning result to obtain a component evaluation coefficient; whether the component evaluation coefficient is less than a component evaluation threshold is determined; if the component evaluation coefficient is less than the component evaluation threshold, a component warning signal is generated.

[0049] Specifically, the three-dimensional data of the component obtained by the three-dimensional scanning equipment includes point cloud data, mesh model or triangulation model, which represents the three-dimensional shape and size of the component. The scanning results are used to evaluate the quality of the component, including checking the geometric dimensions, surface quality, material consistency and other aspects of the component. The evaluation results are usually expressed in the form of evaluation coefficients, which can be percentages, scores or any other quantitative indicators to indicate the degree of compliance of the component quality with the design requirements or quality standards. For example, a component evaluation coefficient may be between 0 and 100, where 100 means full compliance with the standard and 0 means full non-compliance. A component evaluation threshold is set according to the design requirements and quality standards of the component, which is usually a reference value. If the component evaluation coefficient is less than this threshold, it means that the quality of the component does not meet the predetermined standard. The component evaluation coefficient is compared with the component evaluation threshold. If the evaluation coefficient is less than the threshold, it means that the quality of the component does not meet the standard, and a component warning signal is generated, including sound and light alarms, email notifications, system log records or other forms of warnings. According to the warning signal, relevant staff can take measures, such as re-inspecting, repairing or replacing the component. Component early warning signals are crucial for timely identification and handling of quality issues, helping to prevent unqualified components from entering the production process or final product, thereby avoiding potential quality accidents and cost losses.

[0050] In summary, the three-dimensional scanning control method based on target component features provided by this application has the following technical effects:

[0051] By receiving a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; performing feature recognition according to the component detection requirement, determining component detection feature index information; obtaining component feature data of the target component; collecting basic information of a three-dimensional scanning device, obtaining a scanning device feature data set; performing three-dimensional scanning control analysis according to the component detection feature index information, the component feature data and the scanning device feature data set, generating a three-dimensional scanning control decision; performing three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device, and obtaining a component scanning result. In other words, by performing feature recognition in combination with component detection requirements, performing customized scanning control according to the characteristics of the target component, and generating a three-dimensional scanning control decision accordingly, the technical effect of improving the efficiency of three-dimensional scanning is achieved.

[0052] Embodiment 2: Based on the three-dimensional scanning control method based on the target component features in the above embodiment, the present application also provides a three-dimensional scanning control system based on the target component features, see the attached Figure 2 , the three-dimensional scanning control system based on the target component features includes:

[0053] The scanning task receiving module 11 is used to receive a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component.

[0054] The feature recognition module 12 is used to perform feature recognition according to the component detection requirements and determine component detection feature index information.

[0055] The component characteristic data acquisition module 13 is used to obtain the component characteristic data of the target component.

[0056] The scanning device information acquisition module 14 is used to acquire basic information of the three-dimensional scanning device and obtain a scanning device feature data set.

[0057] The three-dimensional scanning control analysis module 15 is used to perform three-dimensional scanning control analysis based on the component detection feature index information, the component feature data and the scanning device feature data set to generate a three-dimensional scanning control decision.

[0058] The three-dimensional scanning execution module 16 is used to perform three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device to obtain a component scanning result.

[0059] Furthermore, the component feature data acquisition module 13 in the three-dimensional scanning control system based on target component features is also used for:

[0060] The basic information of the target component is collected to obtain a component information set; feature recognition is performed according to the component information set to generate the component feature data.

[0061] Furthermore, the scanning device information acquisition module 14 in the three-dimensional scanning control system based on target component features is also used for:

[0062] Collect basic information of the three-dimensional scanning device to obtain a scanning device information set; perform data cleaning based on the scanning device information set to obtain the scanning device feature data set.

[0063] Furthermore, the three-dimensional scanning control analysis module 15 in the three-dimensional scanning control system based on target component features is also used for:

[0064] A scanning device layout analysis is performed based on the component detection feature index information, the component feature data and the scanning device feature data set to determine a scanning device layout decision; a scanning device control analysis is performed based on the scanning device layout decision, the component detection feature index information, the component feature data and the scanning device feature data set to generate a scanning device control decision; and the scanning device layout decision and the scanning device control decision are integrated to obtain the three-dimensional scanning control decision.

[0065] Furthermore, the three-dimensional scanning control system based on the target component feature also includes a layout decision module for:

[0066] Obtain a component scanning layout feature record set; construct a scanning layout analysis model based on the component scanning layout feature record set; based on the component detection feature index information, the component feature data and the scanning device feature data set, obtain the scanning device layout decision according to the scanning layout analysis model.

[0067] Furthermore, the three-dimensional scanning execution module 16 in the three-dimensional scanning control system based on target component features is also used for:

[0068] Perform three-dimensional scanning control according to the three-dimensional scanning control decision to obtain scanning control monitoring data; generate scanning control deviation information according to the three-dimensional scanning control decision and the scanning control monitoring data; and perform three-dimensional scanning optimization control according to the scanning control deviation information.

[0069] Furthermore, the three-dimensional scanning execution module 16 in the three-dimensional scanning control system based on target component features is also used for:

[0070] The target component is evaluated according to the component scanning result to obtain a component evaluation coefficient; whether the component evaluation coefficient is less than a component evaluation threshold is determined; if the component evaluation coefficient is less than the component evaluation threshold, a component warning signal is generated.

[0071] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The three-dimensional scanning control method based on target component features and the specific examples in the first embodiment are also applicable to the three-dimensional scanning control system based on target component features in this embodiment. Through the above detailed description of the three-dimensional scanning control method based on target component features, those skilled in the art can clearly understand the three-dimensional scanning control system based on target component features in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0072] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0073] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A three-dimensional scanning control method based on target component features, characterized in that: include: receiving a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; Perform feature recognition according to the component detection requirements to determine component detection feature index information; Obtaining component characteristic data of the target component; Collect basic information of 3D scanning equipment and obtain characteristic data set of scanning equipment; Performing a three-dimensional scanning control analysis based on the component detection feature index information, the component feature data, and the scanning device feature data set to generate a three-dimensional scanning control decision; Based on the three-dimensional scanning control decision and the three-dimensional scanning device, the target component is three-dimensionally scanned to obtain a component scanning result.

2. The three-dimensional scanning control method based on target component features according to claim 1, characterized in that: Obtaining component characteristic data of the target component, including: Collecting basic information of the target component to obtain a component information set; Feature recognition is performed according to the component information set to generate the component feature data.

3. The three-dimensional scanning control method based on target component features according to claim 1, characterized in that: Collect basic information of 3D scanning equipment and obtain scanning equipment feature data set, including: Collect basic information of the 3D scanning device and obtain a scanning device information set; Data cleaning is performed according to the scanning device information set to obtain the scanning device feature data set.

4. The three-dimensional scanning control method based on target component features according to claim 1, characterized in that: Performing a three-dimensional scanning control analysis based on the component detection feature index information, the component feature data, and the scanning device feature data set to generate a three-dimensional scanning control decision includes: Performing scanning equipment layout analysis based on the component detection feature index information, the component feature data and the scanning equipment feature data set to determine a scanning equipment layout decision; Perform scanning device control analysis based on the scanning device layout decision, the component detection feature index information, the component feature data and the scanning device feature data set to generate a scanning device control decision; The scanning device layout decision and the scanning device control decision are integrated to obtain the three-dimensional scanning control decision.

5. The three-dimensional scanning control method based on target component features according to claim 4, characterized in that: Performing scanning equipment layout analysis according to the component detection feature index information, the component feature data, and the scanning equipment feature data set to determine a scanning equipment layout decision includes: Obtain component scanning layout feature record set; Constructing a scanning layout analysis model according to the component scanning layout feature record set; Based on the component detection feature index information, the component feature data and the scanning device feature data set, and according to the scanning layout analysis model, the scanning device layout decision is obtained.

6. The three-dimensional scanning control method based on target component features according to claim 1, characterized in that: Performing three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device includes: Perform three-dimensional scanning control according to the three-dimensional scanning control decision to obtain scanning control monitoring data; generating scanning control deviation information according to the three-dimensional scanning control decision and the scanning control monitoring data; Three-dimensional scanning optimization control is performed according to the scanning control deviation information.

7. The three-dimensional scanning control method based on target component features according to claim 1, characterized in that: The method further comprises: performing three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device to obtain a component scanning result; Evaluate the target component according to the component scanning result to obtain a component evaluation coefficient; Determining whether the component evaluation coefficient is less than a component evaluation threshold; If the component evaluation coefficient is less than the component evaluation threshold, a component warning signal is generated.

8. A three-dimensional scanning control system based on target component features, characterized in that: The steps for implementing the three-dimensional scanning control method based on the target component feature according to any one of claims 1 to 7, wherein the three-dimensional scanning control system based on the target component feature comprises: A scanning task receiving module, the scanning task receiving module is used to receive a component scanning task, wherein the component scanning task includes a target component and a component detection requirement corresponding to the target component; A feature recognition module, the feature recognition module is used to perform feature recognition according to the component detection requirements and determine component detection feature index information; A component characteristic data acquisition module, wherein the component characteristic data acquisition module is used to obtain component characteristic data of the target component; A scanning device information acquisition module, which is used to acquire basic information of a three-dimensional scanning device and obtain a scanning device feature data set; A three-dimensional scanning control analysis module, the three-dimensional scanning control analysis module is used to perform three-dimensional scanning control analysis based on the component detection feature index information, the component feature data and the scanning device feature data set to generate a three-dimensional scanning control decision; A three-dimensional scanning execution module is used to perform three-dimensional scanning on the target component based on the three-dimensional scanning control decision and the three-dimensional scanning device to obtain a component scanning result.

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