Digital intelligent detection planning method and device

Abstract

The invention provides a digital intelligent detection planning method and device. The method comprises the following steps: receiving a part model; loading the part model, and executing an operation based on the previously created measurement template to obtain an operation result; wherein the template measurement comprises the steps of establishing a measurement coordinate system, extracting measurement elements, setting tolerance and generating a measurement path; and generating a document according to the operation result, and detecting the part according to the document. According to the method, the part model is received and loaded and operated on the platform, the method does not need to depend on specific software and an authorized computer, use is more convenient, after the received part model is loaded, corresponding operation is executed through the preset measurement template, operation and document generation are carried out in time according to the part model, production requirements are quickly responded, and the production efficiency is improved. Repeated manual setting is reduced, errors caused by human factors are avoided, the reliability and accuracy of detection results are improved, and the efficiency of detection planning is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of parts inspection planning, and in particular to a digital intelligent inspection planning method and device. Background Art

[0002] The aircraft manufacturing process involves a large number of various aviation parts. In order to ensure the aircraft assembly effect and the service life of the aircraft, the manufactured parts need to be tested.

[0003] Currently, parts inspection in the aviation field is mainly carried out by on-site inspectors. However, due to the subjectivity of relevant technical personnel, the accuracy and reliability of the inspection are easily affected, making it difficult to form a unified and quantifiable quality standard. In addition, manual inspection cannot effectively carry out configuration control and is prone to loss, resulting in interruption of subsequent product quality traceability. Summary of the invention

[0004] The present invention provides a digital intelligent detection planning method and device to solve the defect of poor accuracy of manual detection in the prior art, improve the accuracy and reliability of detection, effectively perform configuration control, and facilitate historical tracing of product quality.

[0005] The present invention provides a digital intelligent detection planning method, comprising: receiving a part model; loading the part model, performing an operation based on a previously created measurement template to obtain an operation result; wherein the measurement template comprises establishing a measurement coordinate system, extracting measurement elements, setting tolerances and generating a measurement path; generating a document according to the operation result, and detecting the part according to the document.

[0006] According to a digital intelligent detection planning method provided by the present invention, before loading a part model and performing an operation based on a previously created measurement template, the method includes: extracting measurement elements from the part model; establishing a measurement coordinate system according to the measurement elements and preset detection requirements; determining the points and directions to be measured according to the measurement coordinate system; determining the order and path of the measurement points based on the points and directions to be measured in combination with preset tolerances to obtain a measurement path; and creating a measurement template according to the measurement elements, the measurement coordinate system, the preset tolerances and the measurement path.

[0007] According to a digital intelligent detection planning method provided by the present invention, the measurement elements include part features, and the measurement elements are extracted from the part model, including: performing model operations on the part model and identifying the part features of the model; wherein the model operations include at least one of translation, scaling and rotation; performing feature creation operations on part features that are unclear or do not meet preset conditions; based on preset detection requirements, selecting key part features from the part features after the feature creation operation, and extracting corresponding features from the part model based on the selected key part features; integrating the extracted features to obtain part features; The measurement elements include segment features, and the measurement elements are extracted from the part model, which also includes: based on the predetermined key parts, the corresponding measurement mode and the analysis mode, extracting the features corresponding to the predetermined key parts from the part model; integrating the extracted features to obtain the corresponding segment features.

[0008] According to a digital intelligent detection planning method provided by the present invention, configuration control is performed after obtaining the operation result, and the configuration control includes: based on a preset starting value, self-incrementing a preset measurement template with a version update to perform version control on the measurement template; performing feature management on part features and section features, and the feature management includes at least one of adding, modifying, and deleting features; recording the creation, modification, and review process of the measurement template to perform process record tracing; performing platform management on part features and section features, and the platform management includes at least one of row query, statistics, and analysis.

[0009] According to a digital intelligent detection planning method provided by the present invention, after creating a measurement template, the method includes: triggering a business review process, and performing configuration control based on the completion of the business review process.

[0010] According to a digital intelligent detection planning method provided by the present invention, after receiving a part model, the method includes: identifying the format of the part model, and selecting a corresponding parsing method according to the format of the identified part model; parsing the part model using the selected parsing method, and simplifying the parsed part model.

[0011] According to a digital intelligent detection planning method provided by the present invention, the parsed part model is simplified, including: analyzing the part model to obtain analysis results, the analysis results including the structure, characteristics and key parts of the components of the part model and the parts to be simplified; according to the analysis results, determining the key parts to be retained, and simplifying the model using a preset simplification algorithm.

[0012] The present invention also provides a digital intelligent detection planning device, including: a data receiving module, receiving a part model; an operation execution module, loading the part model, performing an operation based on a previously created measurement template, and obtaining an operation result; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; a part detection module, generating a document according to the operation result, and detecting the part according to the document.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the digital intelligent detection planning method described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the digital intelligent detection planning method as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the digital intelligent detection planning method as described above is implemented.

[0016] The digital intelligent detection planning method and device provided by the present invention receive the part model and load and operate it on the platform without relying on specific software and authorized computers, and are more convenient to use. After loading the received part model, corresponding operations are performed through a preset measurement template, and operations and document generation are performed in time according to the part model, so as to quickly respond to production needs, reduce repeated manual settings, avoid errors caused by human factors, improve the reliability and accuracy of detection results, and improve the efficiency of detection planning. The measurement template includes standardized operations such as establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating measurement paths, thereby ensuring the consistency and accuracy of detection; documents are generated according to the operation results, so as to use the documents to detect parts, facilitate the traceability of the detection process and results, and contribute to quality control and problem troubleshooting. It can adapt to part models of different types and complexities, and has strong versatility. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of the digital intelligent detection planning method provided by the present invention; Figure 2 It is a schematic diagram of the architecture of the digital intelligent detection planning method provided by the present invention; Figure 3 It is a structural schematic diagram of the digital intelligent detection planning device provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Figure 1 A schematic diagram of a digital intelligent detection planning method provided by the present invention is shown, and the method comprises: S11, receiving the part model; S12, loading the part model, performing operations based on the previously created measurement template, and obtaining operation results; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; S13, generating a document according to the operation result, and inspecting the parts according to the document.

[0021] It should be noted that the execution subject of this method is a digital platform, and the step numbers "S1N" in this specification do not represent the sequence of the digital intelligent detection planning method. Figure 2 The digital intelligent detection planning method of the present invention is described.

[0022] Step S11, receiving a part model.

[0023] It should be noted that the part model is a three-dimensional model of the part, which can be created through computer-aided design software such as Catia, SolidWorks, UG, etc.; the part model includes the part's geometric shape, size, features and other information, and is an important basis for part inspection planning. Different parts may require different types of models. For example, mechanical parts may require solid models, while sheet metal parts may require surface models. The uploaded model needs to accurately reflect the actual shape and features of the part to ensure the effectiveness and accuracy of the inspection plan.

[0024] In addition, the part model is uploaded to the platform. By uploading the model, the platform can parse and process the model, extract the measurement elements, establish the coordinate system, set the tolerance, etc., so as to generate the measurement path and related documents. In addition, the model can also be displayed and operated on the web page, which is convenient for users to carry out intuitive inspection planning and adjustment.

[0025] In an optional embodiment, after receiving the part model, it includes: identifying the format of the part model and selecting a corresponding parsing method according to the identified format of the part model; parsing the part model using the selected parsing method, and simplifying the parsed part model.

[0026] Specifically, the parsed part model is simplified, including: analyzing the parsed part model to obtain analysis results, the analysis results include the structure, characteristics and key parts of the components of the part model and the parts to be simplified; according to the analysis results, determining the key parts to be retained, and simplifying the model using a preset simplification algorithm.

[0027] It should be noted that by simplifying the model, the details of the part model are reduced and the shape of the assembly is simplified, so that the overly large and complex model can adapt to the display and operation capabilities of the web page. In addition, the simplification algorithm can simplify the model by reducing the number of polygons of the model, merging similar parts, and removing unimportant details.

[0028] In addition, in the process of analyzing the parsed part model, we can further understand the part model structure, characteristics and components, so as to determine which parts are critical and which parts can be simplified, which will facilitate the subsequent selection of retained parts and simplification of the model.

[0029] In an optional embodiment, the received part model is obtained by the OCC server parsing and simplifying the part model sent by the file server. The file server is used to store compressed attachments, picture attachments, text attachments, model attachments, and attachments in a preset format.

[0030] In an optional embodiment, before loading a part model and performing operations based on a previously created measurement template, the process includes: extracting measurement elements from the part model; establishing a measurement coordinate system based on the measurement elements and preset detection requirements; determining points and directions to be measured based on the measurement coordinate system; determining the order and path of the measurement points based on the points and directions to be measured in combination with preset tolerances to obtain a measurement path; and creating a measurement template based on the measurement elements, the measurement coordinate system, the preset tolerances, and the measurement path.

[0031] It should be noted that the part information to be tested includes basic part information, such as part name, number and testing requirements, etc. The corresponding document of the part model can refer to the document generated based on the operation results below, which will not be repeated here. In addition, before receiving the part information to be tested, the part model of the part to be tested and the corresponding document, it also includes: connecting to a preset network.

[0032] It is worth noting that the preset tolerance can be set according to the allowable deviation range of each measurement element, so as to improve the accuracy of subsequent quality control and inspection results. In addition, the received part model can be stored in the task queue to parse the part models in the task queue one by one.

[0033] It should be noted that for a part with multiple features, when planning the measurement path, key features may be measured first, followed by secondary features, to improve measurement efficiency. At the same time, avoid repeated measurements and unnecessary movements to reduce measurement time. According to the accuracy and range of the measuring equipment, adjust the details of the measurement path to ensure that all required points can be accurately measured, so that the generated measurement path clearly indicates the order and position in which the inspector should operate when measuring.

[0034] In an optional embodiment, the measurement elements include part features, and the measurement elements are extracted from the part model, including: performing model operations on the part model and identifying part features of the model; wherein the model operations include at least one of translation, scaling, and rotation; performing feature creation operations on part features that are unclear or do not meet preset conditions; based on preset detection requirements, selecting key part features from the part features after the feature creation operation, and extracting corresponding features from the part model based on the selected key part features; and integrating the extracted features to obtain part features.

[0035] It should be added that the measurement elements include size, shape, and position. Before extracting the measurement elements, it is necessary to clarify the measurement target, that is, the specific content to be measured, so as to facilitate targeted measurement planning, and to arrange the measurement sequence reasonably according to the importance and relationship of the measurement elements, improve the measurement efficiency, and ensure that the measurement path can cover all key measurement elements to avoid omissions, thereby ensuring the accuracy of the measurement results. In addition, the extraction of part features from the part model can be achieved based on the part planning of the platform planning module.

[0036] Furthermore, in order to realize data interaction between the platform and the OCC server, seventeen interfaces are designed, including model upload interface, attachment upload interface, data addition interface, data modification interface, data deletion interface, data query interface, OCC communication interface, model download interface, template addition interface, template editing interface, template query interface, online plan addition interface, online plan query interface, online plan editing interface, proofreading interface, review interface and template export interface.

[0037] In addition, part features include field names, types and remarks. For example, the field name is element_id, the type is VARCHAR, and the remarks are the part primary key ID. Another example is that the field name is figure_id, the type is VARCHAR, and the remarks are the drawing number. The specific settings can be based on the actual part features involved and are not further limited here.

[0038] In another optional embodiment, the measurement elements include segment features, and extracting the measurement elements from the part model also includes: extracting features corresponding to the predetermined key parts from the part model based on the predetermined key parts, corresponding measurement modes and analysis modes; integrating the extracted features to obtain corresponding segment features. It should be noted that segment features refer to feature information descriptions that are solidified for products based on drawings and user requirements, including but not limited to measurement methods, analysis methods, etc. It is a summary and conclusion of the key characteristics of segment products, and is used to accurately measure, analyze and manage segments during the production process.

[0039] It should be added that the extraction of section features from the part model can be achieved based on the section planning of the platform planning module.

[0040] Furthermore, in order to realize data interaction between the platform and the OCC server, sixteen interfaces are designed, including model upload interface, attachment upload interface, feature addition interface, feature modification interface, feature deletion interface, feature query interface, OCC communication interface, model download interface, template addition interface, template editing interface, template query interface, feature data addition interface, feature data query interface, feature data editing interface, proofreading interface and review interface.

[0041] In addition, section characteristics include field name, type and remark. For example, the field name is part_id, the type is BIGINT, and the remark is the section primary key. Another example is the field name is department, the type is VARCHAR, and the remark is the compilation department. The specific settings can be based on the actual section characteristics involved and are not further limited here.

[0042] In an optional embodiment, after the measurement template is created, the process includes: triggering a business review process, and performing configuration management and control based on the completion of the business review process. It should be noted that by setting the review process, it is ensured that the relevant operations are reviewed and approved, thereby ensuring the compliance and accuracy of configuration management.

[0043] In an optional embodiment, after creating the measurement template, the method includes: changing the created measurement template, and automatically incrementing the preset measurement template of the updated version based on a preset starting value, and designing the version field to ensure that different versions can be effectively managed and traced when the measurement template version is updated.

[0044] Step S12, loading the part model, performing operations based on the previously created measurement template, and obtaining operation results; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path.

[0045] In an optional embodiment, after obtaining the operation result, configuration control is performed, and configuration control includes: based on the preset starting value, the preset measurement template with the updated version is incremented to perform version control on the measurement template, so as to clearly track and manage the measurement templates of different versions, and thus better cope with the changes of drawings and processes, and ensure the integrity of quality traceability; feature management is performed on part features and section features, and feature management includes at least one of adding, modifying, and deleting features, so as to ensure the accuracy and integrity of feature information, and facilitate accurate identification and measurement of relevant features during the detection process; record the creation, modification and review process of the measurement template to perform process record tracing, so as to facilitate tracing the historical changes of the measurement template, and facilitate query and analysis when problems occur; platform management is performed on part features and section features, and platform management includes at least one of row query, statistics and analysis, so as to query, count, analyze and other operations on relevant data, and support decision-making and optimization of configuration management. It should be noted that by effectively performing configuration management, the accuracy and reliability of part inspection planning can be ensured, and the strict requirements of the aviation field for part quality and safety can be met.

[0046] Step S13, generating a document according to the operation result, and inspecting the parts according to the document.

[0047] It should be noted that the document includes information related to the measurement coordinate system, information related to the measurement elements, preset tolerances and measurement paths. Information related to the measurement coordinate system includes the coordinate system type, origin position and coordinate axis direction. Information related to the measurement elements includes size, shape, position and corresponding measurement requirements. The measurement path includes the order, position and measurement method of the measurement points.

[0048] In an optional embodiment, the method further includes: receiving and responding to an organization management request, managing the organization, and the organization management includes operations such as adding, deleting and / or modifying.

[0049] In an optional embodiment, the method further includes: receiving and responding to user management requests, managing users, and user management includes operations such as adding, deleting and / or modifying.

[0050] In an optional embodiment, the method further includes: receiving and responding to a dictionary management request, managing the dictionary, wherein the dictionary management includes operations such as adding, deleting, modifying and / or querying.

[0051] In summary, the embodiment of the present invention receives the part model and loads and operates it on the platform without relying on specific software and authorized computers, so it is more convenient to use. After loading the received part model, the corresponding operation is performed through the preset measurement template, and the operation and document generation are timely performed according to the part model, so as to quickly respond to production needs, reduce repeated manual settings, avoid errors caused by human factors, improve the reliability and accuracy of the detection results, and improve the efficiency of detection planning. The measurement template includes standardized operations such as establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating measurement paths, which ensures the consistency and accuracy of the detection; documents are generated according to the operation results, so as to use the documents to detect the parts, facilitate the traceability of the detection process and results, and help quality control and problem troubleshooting. It can adapt to part models of different types and complexities and has strong versatility.

[0052] The digital intelligent detection planning device provided by the present invention is described below. The digital intelligent detection planning device described below and the digital intelligent detection planning method described above can be referenced to each other.

[0053] Figure 3 A structural schematic diagram of a digital intelligent detection planning device is shown, the device comprising: A data receiving module 31 receives a part model; The operation execution module 32 loads the part model, executes the operation based on the previously created measurement template, and obtains the operation result; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; The parts detection module 33 generates a document according to the operation result, and detects the parts according to the document.

[0054] In an optional embodiment, the device further includes: an identification module, which identifies the format of the part model after receiving the part model, and selects a corresponding parsing method according to the format of the identified part model; a parsing module, which parses the part model using the selected parsing method; and a simplification processing module, which simplifies the parsed part model.

[0055] Specifically, the simplification processing module includes: an analysis unit, which analyzes the parsed part model to obtain analysis results, which include the structure, characteristics and key parts of the components of the part model and the parts to be simplified; a simplification processing unit, which determines the key parts to be retained based on the analysis results, and uses a preset simplification algorithm to simplify the model.

[0056] In an optional embodiment, the device further includes: a template creation module, which creates a measurement template before loading the part model and performing operations based on the previously created measurement template. Further, the template creation module includes: an element extraction unit, which extracts measurement elements from the part model; a coordinate system establishment unit, which establishes a measurement coordinate system according to the measurement elements and preset detection requirements; a point determination unit, which determines the points and directions to be measured according to the measurement coordinate system; a path determination unit, which determines the order and path of the measurement points based on the points and directions to be measured and the preset tolerances, and obtains the measurement path; a template generation unit, which creates a measurement template according to the measurement elements, the measurement coordinate system, the preset tolerances and the measurement path.

[0057] In an optional embodiment, the measurement elements include part features, and the element extraction unit includes: a model operation subunit, which performs model operations on the part model and identifies the part features of the model; wherein the model operation includes at least one of translation, scaling and rotation; a feature creation subunit, which performs feature creation operations on part features that are unclear or do not meet preset conditions; a feature extraction subunit, which selects key part features from the part features after the feature creation operation based on preset detection requirements, and extracts corresponding features from the part model based on the selected key part features; an integration subunit, which integrates the extracted features to obtain part features.

[0058] Furthermore, in order to realize data interaction between the platform and the OCC server, seventeen interfaces are designed, including model upload interface, attachment upload interface, data addition interface, data modification interface, data deletion interface, data query interface, OCC communication interface, model download interface, template addition interface, template editing interface, template query interface, online plan addition interface, online plan query interface, online plan editing interface, proofreading interface, review interface and template export interface.

[0059] In another optional embodiment, the measurement elements include segment features, and the element extraction unit includes: a feature extraction subunit, which extracts features corresponding to predetermined key parts from the part model based on predetermined key parts, corresponding measurement modes and analysis modes; and an integration subunit, which integrates the extracted features to obtain corresponding segment features.

[0060] Furthermore, in order to realize data interaction between the platform and the OCC server, sixteen interfaces are designed, including model upload interface, attachment upload interface, feature addition interface, feature modification interface, feature deletion interface, feature query interface, OCC communication interface, model download interface, template addition interface, template editing interface, template query interface, feature data addition interface, feature data query interface, feature data editing interface, proofreading interface and review interface.

[0061] In an optional embodiment, the device further includes: a review module, which triggers a business review process after the measurement template is created, and performs configuration control based on the completion of the business review process.

[0062] In an optional embodiment, the device further includes: an update module, which, after creating the measurement template, changes the created measurement template, and automatically increments the preset measurement template of the updated version based on a preset starting value, and through the design of the version field, ensures that when the measurement template version is updated, different versions can be effectively managed and traced.

[0063] In an optional embodiment, the device further includes: a control module, which performs configuration control after obtaining the operation result, and the control module includes: an auto-increment control unit, which auto-increments the preset measurement template with the updated version based on the preset starting value to perform version control on the measurement template, so as to clearly track and manage different versions of the measurement template, thereby better responding to changes in drawings and processes and ensuring the integrity of quality traceability; a feature management unit, which performs feature management on part features and section features, and the feature management includes at least one of adding, modifying and deleting features, so as to ensure the accuracy and integrity of feature information and facilitate accurate identification and measurement of relevant features during the detection process; a traceability management unit, which records the creation, modification and review process of the measurement template to perform process record traceability, so as to facilitate tracing the historical changes of the measurement template and facilitate query and analysis when problems arise; a platform management unit, which performs platform management on part features and section features, and the platform management includes at least one of row query, statistics and analysis to query, count and analyze relevant data to support decision-making and optimization of configuration management. It should be noted that by effectively carrying out configuration management, the accuracy and reliability of part inspection planning can be ensured to meet the strict requirements of the aviation field on part quality and safety.

[0064] In an optional embodiment, the device further includes: an organization management module, which receives and responds to organization management requests and manages the organization, and the organization management includes operations such as adding, deleting and / or modifying.

[0065] In an optional embodiment, the device further includes: a user management module that receives and responds to user management requests and manages users, where user management includes operations such as adding, deleting and / or modifying.

[0066] In an optional embodiment, the device further includes: a dictionary management module, which receives and responds to dictionary management requests and manages the dictionary, and the dictionary management includes operations such as adding, deleting, modifying and / or querying.

[0067] In summary, the embodiment of the present invention receives the part model and loads and operates it on the platform without relying on specific software and authorized computers, so it is more convenient to use. After loading the received part model, the corresponding operation is performed through the preset measurement template, and the operation and document generation are timely performed according to the part model, so as to quickly respond to production needs, reduce repeated manual settings, avoid errors caused by human factors, improve the reliability and accuracy of the detection results, and improve the efficiency of detection planning. The measurement template includes standardized operations such as establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating measurement paths, which ensures the consistency and accuracy of the detection; documents are generated according to the operation results, so as to use the documents to detect the parts, facilitate the traceability of the detection process and results, and help quality control and problem troubleshooting. It can adapt to part models of different types and complexities and has strong versatility.

[0068] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the digital intelligent detection planning method, which includes: receiving a part model; loading the part model, performing an operation based on a previously created measurement template to obtain an operation result; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances and generating a measurement path; generating a document according to the operation result, and detecting the part according to the document.

[0069] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0070] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the digital intelligent detection planning method provided by the above methods, which includes: receiving a part model; loading the part model, performing operations based on a previously created measurement template, and obtaining operation results; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; generating a document based on the operation results, and inspecting the part based on the document.

[0071] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the digital intelligent inspection planning method provided by the above-mentioned methods, the method comprising: receiving a part model; loading the part model, performing an operation based on a previously created measurement template, and obtaining an operation result; wherein the measurement template comprises establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; generating a document based on the operation result, and inspecting the part based on the document.

[0072] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0073] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A digital intelligent detection planning method, characterized in that: include: Receive part model; Loading the part model, performing operations based on a previously created measurement template, and obtaining operation results; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; A document is generated according to the operation result, and the parts are inspected according to the document.

2. The digital intelligent detection planning method according to claim 1 is characterized in that: Before loading the part model and performing operations based on the measurement template created previously, the following steps are included: extracting measurement elements from the part model; Establishing a measurement coordinate system according to the measurement elements and preset detection requirements; Determine the point and direction to be measured according to the measurement coordinate system; Based on the points and directions to be measured and in combination with preset tolerances, the order and path of the measuring points are determined to obtain a measuring path; A measurement template is created according to the measurement elements, the measurement coordinate system, the preset tolerance and the measurement path.

3. The digital intelligent detection planning method according to claim 2 is characterized in that: The measurement elements include part features, and extracting the measurement elements from the part model includes: Performing model operations on the part model and identifying part features of the model; wherein the model operations include at least one of translation, scaling and rotation; Perform feature creation operations for part features that are unclear or do not meet preset conditions; Based on the preset detection requirements, selecting key part features from the part features after the feature creation operation, and extracting corresponding features from the part model based on the selected key part features; Integrate the extracted features to obtain part features; The measurement elements include segment features, and extracting the measurement elements from the part model further includes: Extracting features corresponding to the predetermined key parts from the part model based on the predetermined key parts, the corresponding measurement mode and the analysis mode; The extracted features are integrated to obtain the corresponding segment features.

4. The digital intelligent detection planning method according to claim 3 is characterized in that: After obtaining the operation result, configuration control is performed, and the configuration control includes: Based on the preset starting value, the preset measurement template of the version update is automatically incremented to perform version control on the measurement template; Performing feature management on the part features and the section features, wherein the feature management includes at least one of adding, modifying, and deleting features; Record the creation, modification and review process of the measurement template to enable process record traceability; Platform management is performed on the part features and the section features, and the platform management includes at least one of row query, statistics and analysis.

5. The digital intelligent detection planning method according to claim 2 is characterized in that: After creating the measurement template, include: The business review process is triggered, and configuration control is performed based on the completion of the business review process.

6. The digital intelligent detection planning method according to claim 1 is characterized in that: After receiving the part model, the method further comprises: Identify the format of the part model, and select a corresponding parsing method according to the identified format of the part model; The part model is analyzed using the selected analysis method, and the analyzed part model is simplified.

7. The digital intelligent detection planning method according to claim 6 is characterized in that: Simplify the parsed part model, including: Analyze the part model to obtain analysis results, wherein the analysis results include the structure, features, key parts of the components and parts to be simplified of the part model; According to the analysis results, the key parts to be retained are determined, and the model is simplified using a preset simplification algorithm.

8. A digital intelligent detection planning device, characterized in that: include: A data receiving module receives a part model; An operation execution module, which loads the part model, executes the operation based on the previously created measurement template, and obtains the operation result; wherein the measurement template includes establishing a measurement coordinate system, extracting measurement elements, setting tolerances, and generating a measurement path; The parts detection module generates a document according to the operation result, and detects the parts according to the document.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the digital intelligent detection planning method as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the digital intelligent detection planning method according to any one of claims 1 to 7 is implemented.

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