Internal thread copper pipe thread quality detection method and system

Abstract

The present invention relates to the technical field of internal thread copper tube detection, and in particular to a method and system for detecting the thread quality of an internal thread copper tube, which can improve detection accuracy and efficiency, and provide reliable guarantee for the quality control and safety of the internal thread copper tube; the method comprises: real-time acquisition of actual detection information of thread parameters of an internal thread copper tube to be detected and thread parameter design requirement information; analyzing the deviation between the actual detection information of the thread parameters and the thread parameter design requirement information, and obtaining a thread quality deviation data set; obtaining specification information of the internal thread copper tube to be detected, and traversing a pre-built thread quality evaluation model database based on the specification information, and retrieving a thread quality evaluation model corresponding to the specification information; inputting the thread quality deviation data set into the thread quality evaluation model, and obtaining a preliminary evaluation index of the thread quality of the internal thread copper tube to be detected.

Description

Technical Field

[0001] The invention relates to the technical field of internal thread copper pipe detection, and in particular to a method and system for detecting thread quality of an internal thread copper pipe. Background Art

[0002] Internally threaded copper tubes are a key component widely used in fluid transportation, heat exchange and connection systems, especially in precision fluid transmission and high-pressure pressure-bearing components. The accuracy of various parameters of the thread has a direct determining effect on its sealing performance, load-bearing capacity and life. Internally threaded copper tubes have been widely used in many industries, especially in refrigeration, air conditioning and petrochemical industries due to their excellent mechanical properties and corrosion resistance. The quality of their threads is directly related to the sealing, stability and safety of the system. With the continuous development of industrial technology, the requirements for the quality of the threads of internally threaded copper tubes are also increasing.

[0003] Traditional thread quality inspection methods usually rely on manual measurement and visual inspection. This method is not only inefficient, but also affected by human errors and operating experience, making it difficult to ensure the accuracy and consistency of inspection. At the same time, traditional methods often ignore the relationship between thread quality and the actual application environment. Due to different working environments, the performance requirements of internal threaded copper tubes are different. For example, environmental factors such as working pressure and temperature range will have a significant impact on the durability, sealing and stability of the thread. As a result, traditional thread quality inspection methods have the problems of low efficiency, lack of accuracy and neglect of the relationship between the actual application environment. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for detecting the thread quality of internally threaded copper pipes, which can improve the detection accuracy and efficiency and provide a reliable guarantee for the quality control and safety of internally threaded copper pipes.

[0005] In a first aspect, the present invention provides a method for detecting the quality of threads of an internally threaded copper pipe, the method comprising:

[0006] Real-time collection of actual detection information of thread parameters of internal thread copper pipe to be tested and thread parameter design requirement information;

[0007] Analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain the thread quality deviation data set;

[0008] Obtain specification information of the internal thread copper tube to be tested, and traverse the pre-built thread quality evaluation model database based on the specification information to retrieve the thread quality evaluation model corresponding to the specification information;

[0009] The thread quality deviation data set is input into the thread quality evaluation model to obtain the preliminary evaluation index of the thread quality of the internal thread copper tube to be tested;

[0010] Obtain application environment data information of the internally threaded copper tube to be tested, and use a pre-built environmental impact analysis model to identify the application environment data information to obtain a quality evaluation correction factor of the internally threaded copper tube to be tested; the application environment data information includes a working pressure limit designed to withstand the internally threaded copper tube and a working temperature range designed for the internally threaded copper tube;

[0011] According to the quality evaluation correction factor of the internal thread copper tube to be tested, the application environment is corrected for the preliminary evaluation index of thread quality to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested;

[0012] The thread quality correction evaluation index is verified using the preset qualified evaluation index, and whether the thread quality of the internal thread copper pipe is qualified is determined based on the verification result.

[0013] Furthermore, the thread parameters include mean diameter, pitch, tooth profile angle, tooth top width, tooth bottom width, tooth side angle, thread surface roughness, thread length, thread tooth height, thread hand direction and thread taper.

[0014] Furthermore, the specification information includes the wall thickness of the internal threaded copper tube, the thread type, the thread specification, the material grade and the processing technology.

[0015] Furthermore, the calculation formula of the thread quality evaluation model is:

[0016] ;

[0017] Among them, Q represents the preliminary evaluation index of thread quality, n represents the total number of thread parameters, Indicates the deviation between the actual detection value and the design requirement value of the i-th thread parameter; It represents the influence weight of the deviation between the actual detection value and the design requirement value of the i-th thread parameter, is a function that normalizes the deviation.

[0018] Furthermore, the method for building the thread quality evaluation model database includes:

[0019] Collect the specification information of internally threaded copper tubes and the corresponding thread quality inspection data; collect the working pressure and temperature range information of various types of internally threaded copper tubes in different application environments, as well as the impact of these environmental factors on thread performance;

[0020] Preprocess the collected data, including missing value processing, outlier detection and correction, and data format unification;

[0021] Based on the processed data, characteristic variables that have a significant impact on thread quality evaluation are selected to obtain a training set for model training;

[0022] Selecting a machine learning model to develop a thread quality evaluation model, wherein the machine learning model includes linear regression, decision tree, support vector machine, and neural network;

[0023] Use the training set to train the model, and use an independent validation set to evaluate the performance of the trained model;

[0024] Design database architecture, including table structure design, index settings, and data relationship definitions;

[0025] Create a database and table according to the designed database architecture, import the sorted data, and obtain the thread quality evaluation model database.

[0026] Furthermore, the method for constructing the thread quality evaluation model includes:

[0027] Collect the quality data of internal copper pipe threads and preprocess the data, including data cleaning, missing value processing, outlier detection and normalization;

[0028] Extract features from the processed data and construct a model training set;

[0029] Selecting a machine learning model as the basis of the model, the machine learning model including linear regression, decision tree, support vector machine, and neural network;

[0030] Use the model training set to train the model;

[0031] After training is complete, the model is evaluated and tuned;

[0032] The tuned model is deployed in the actual internal copper pipe thread quality inspection system.

[0033] Furthermore, the influencing factors for setting the preset conformity evaluation index include industry standards and specifications, engineering design requirements, actual application environment, historical data and experience, and safety requirements.

[0034] On the other hand, the present application also provides a system for detecting the quality of internal thread copper pipe threads, the system comprising:

[0035] A data acquisition module is used to collect the actual detection information of the thread parameters of the internal thread copper pipe to be tested and the thread parameter design requirement information in real time;

[0036] The thread quality deviation analysis module is used to analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain the thread quality deviation data set;

[0037] A model matching module is used to obtain specification information of the internal thread copper tube to be tested, and traverse a pre-built thread quality evaluation model database based on the specification information to retrieve a thread quality evaluation model corresponding to the specification information;

[0038] A thread quality preliminary evaluation module is used to input the thread quality deviation data set into the thread quality evaluation model to obtain a thread quality preliminary evaluation index of the internal thread copper tube to be tested;

[0039] An environmental impact analysis module is used to obtain application environment data information of the internally threaded copper tube to be tested, and identify the application environment data information using a pre-built environmental impact analysis model to obtain a quality evaluation correction factor for the internally threaded copper tube to be tested; the application environment data information includes the working pressure limit designed to withstand the internally threaded copper tube and the working temperature range designed for the internally threaded copper tube;

[0040] An application environment correction module is used to perform application environment correction on the preliminary thread quality evaluation index according to the quality evaluation correction factor of the internal thread copper tube to be tested, so as to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested;

[0041] The conformity verification module is used to verify the thread quality correction evaluation index using a preset conformity evaluation index, and determine whether the thread quality of the internal thread copper pipe is qualified based on the verification result.

[0042] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0044] Compared with the prior art, the present invention has the following beneficial effects: the method realizes comprehensive and accurate monitoring of thread parameters by real-time acquisition of actual detection information and design requirement information of thread parameters, avoids errors that may be caused by manual measurement, and improves the efficiency and accuracy of data acquisition;

[0045] By comparing and analyzing the actual detection information of the collected thread parameters with the design requirement information, a thread quality deviation data set is generated, which can intuitively reflect the gap between the actual status of various thread parameters and the design requirements, providing a detailed data basis for subsequent quality evaluation;

[0046] According to the specification information of the internal thread copper tube to be tested, the corresponding thread quality evaluation model is automatically traversed and retrieved to ensure the consistency of the evaluation model with the characteristics of the product to be tested; the thread quality deviation data set is input into the evaluation model to quickly obtain the preliminary evaluation index of the thread quality, which reflects the intelligence and standardization of the evaluation process;

[0047] The application environment data information is introduced, and the pre-built environmental impact analysis model is used for identification to obtain the quality evaluation correction factor; the influence of the actual application environment such as working pressure and temperature on the thread performance is fully considered, so that the thread quality evaluation is closer to the actual use conditions, and the practicality and pertinence of the evaluation results are enhanced;

[0048] Through the application environment correction module, the thread quality preliminary evaluation index is corrected according to the quality evaluation correction factor to obtain the thread quality correction evaluation index, which realizes the dynamic adjustment of the evaluation result as the actual application environment changes, and further improves the accuracy of the evaluation;

[0049] The preset qualified evaluation index is used to calibrate the thread quality correction evaluation index, and the qualified quality of the internal copper pipe thread is determined in a standardized and objective way, which avoids the subjectivity and inconsistency of human judgment and enhances the fairness and credibility of quality control;

[0050] In summary, the internal copper pipe thread quality inspection method effectively solves the problems of low efficiency, insufficient accuracy and neglect of the actual application environment in traditional inspection methods, adapts to the increasingly high requirements of modern industry for the quality of internal copper pipe threads, and effectively guarantees the operation safety and efficiency of related equipment and systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the present invention;

[0052] Figure 2 It is a flow chart of the method for constructing a thread quality evaluation model;

[0053] Figure 3 It is the structural diagram of the internal thread copper pipe thread quality inspection system. DETAILED DESCRIPTION

[0054] In the description of this application, those skilled in the art should know that this application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, this application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, this application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0055] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0056] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0057] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0058] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0059] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0060] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0061] The present application is described below in conjunction with the drawings in the present application.

[0062] Embodiment 1: Figure 1 to Figure 2 As shown, the internal thread copper pipe thread quality detection method of the present invention specifically comprises the following steps:

[0063] S1. Real-time collection of actual detection information of thread parameters of the internal thread copper pipe to be tested and thread parameter design requirement information;

[0064] Step S1 realizes the real-time and accurate collection of the actual test information and design requirement information of the internal thread copper pipe to be tested, providing comprehensive and reliable data support for subsequent deviation analysis, thread quality evaluation and environmental impact correction;

[0065] Thread parameters include pitch diameter, pitch, thread angle, crest width, root width, flank angle, thread surface roughness, thread length, thread tooth height, thread hand direction and thread taper;

[0066] Thread parameter collection methods include:

[0067] The center diameter detection uses a dedicated internal thread center diameter measuring tool, including a three-needle measuring tool, an electronic plug gauge, and a non-contact optical detection device to accurately measure the actual value of the thread center diameter to ensure that it meets the design requirements;

[0068] Pitch detection, using thread micrometer, optical interferometer and laser interferometer to measure the distance between two adjacent teeth of the thread to determine the actual value of the pitch;

[0069] Thread angle detection: Use an optical or mechanical contact method to measure the angle between the thread tip and the two sides of the tooth groove using a thread angle gauge or an image measuring instrument.

[0070] Detection of crest width, root width, and flank angle: Use high-precision optical microscopes, image measuring instruments, and thread profilers to carefully measure the width of the thread crest and root as well as the flank angle;

[0071] The surface roughness of the thread is tested by using a surface roughness meter to scan along the axial and circumferential directions of the thread to obtain the parameters of the micro-geometric shape of the thread surface, reflecting its surface smoothness;

[0072] Thread length and thread tooth height detection: use a length measuring instrument to measure the effective length of the thread and the height of a single tooth;

[0073] Thread direction and thread taper detection: Use thread indicator and taper gauge to determine the thread direction and taper to ensure that they meet the design requirements;

[0074] According to the product number, specification model and other information of the internal thread copper tube to be tested, consult the relevant design drawings, clarify the various design parameter requirements of the thread, and obtain the thread parameter design requirement information.

[0075] In this step, through the comprehensive detection of the thread parameters of the internal copper pipe, key indicators such as the mean diameter, pitch, tooth angle, tooth top width, tooth bottom width, tooth side angle, thread surface roughness, thread length, thread tooth height, thread rotation direction and thread taper are covered, ensuring the comprehensiveness of the thread quality evaluation; it is helpful to comprehensively evaluate the various physical properties and manufacturing accuracy of the thread, and provide a complete data basis for subsequent deviation analysis, quality evaluation and environmental adaptability correction; the use of professional testing equipment and methods ensures the high-precision acquisition of the actual detection information of the thread parameters; the equipment has good measurement repeatability and stability, can effectively reduce measurement errors and improve data accuracy; the actual detection information of the thread parameters is collected in real time, so that the detection results can be fed back to the quality control system in a timely manner, which is convenient for rapid response to the production process Quality fluctuations during the production process can be detected, and real-time monitoring and adjustment of the production process can be achieved; in addition, real-time performance can also help improve overall inspection efficiency, shorten product inspection cycles, and adapt to the needs of modern assembly line operations; by consulting relevant design drawings or standard specifications, thread parameter design requirement information can be obtained to ensure the authority and consistency of the inspection basis; following the standards for inspection is conducive to unifying the evaluation scale, avoiding different evaluation standards caused by human factors, and enhancing the fairness and credibility of the inspection results; the collected thread parameter design requirement information not only includes basic parameters such as size and shape, but also includes product numbers, specifications and models of internal thread copper pipes, laying the foundation for subsequent thread quality evaluation and correction in combination with specific application environments, and helping to more accurately evaluate the performance of threads under actual use conditions;

[0076] In summary, this step provides solid data support for subsequent thread quality evaluation by comprehensively, accurately and in real time collecting the actual detection information and design requirement information of the thread parameters of the internal thread copper tube, improves the scientificity, accuracy and work efficiency of the detection, and takes into account the performance considerations of the thread in the actual application environment, which helps to improve the overall quality and service reliability of the internal thread copper tube.

[0077] S2. Analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain a thread quality deviation data set;

[0078] Step S2 is to compare and analyze the actual detection information of thread parameters collected in real time with the design requirement information, calculate the deviation of each parameter, and form a thread quality deviation data set, aiming to quantify the degree of deviation between the actual manufacturing state of the thread and the design requirement, and provide a quantitative basis for subsequent quality evaluation;

[0079] For each thread parameter, the actual detected value is compared with the design requirement value one by one;

[0080] For any parameter, its deviation is calculated by the following formula:

[0081] Mi = Ai-Di;

[0082] Where Mi represents the deviation value of the parameter, Ai represents the actually detected parameter value, and Di represents the corresponding design requirement value;

[0083] The deviation values ​​of all thread parameters are sorted into a data set according to parameter categories, namely, the thread quality deviation data set;

[0084] An allowable tolerance range is set for each thread parameter. If the actual deviation value of a parameter is within its tolerance range, the parameter is considered to meet the quality requirements; otherwise, it is considered unqualified.

[0085] In this step, by comparing the actually detected thread parameter values ​​with the design requirement values, the degree of deviation between the manufacturing state of the thread and the design requirement can be accurately quantified; it is helpful to determine the deviation of each parameter and form a thread quality deviation data set, which provides a quantitative basis for subsequent quality evaluation; by comparing the actual deviation value of each thread parameter with its allowable tolerance range, it is possible to clearly determine which parameters meet the quality requirements, which helps to promptly discover problems in thread manufacturing and take corresponding corrective measures; the formed thread quality deviation data set provides an important basis for subsequent quality evaluation; by analyzing the deviation data set, the quality status of the thread can be comprehensively evaluated, existing problems can be discovered in a timely manner, and improvement suggestions can be put forward to improve the quality and reliability of the thread; using a quantitative method to analyze the deviation of thread parameters can improve the accuracy and consistency of detection; compared with traditional manual measurement and visual inspection methods, this automated analysis method can more accurately capture the deviation in thread manufacturing, thereby improving the reliability and effectiveness of detection;

[0086] In summary, the beneficial effects of step S2 include providing quantified thread quality deviation data, clarifying qualified and unqualified parameters, providing an important basis for quality evaluation, and improving the accuracy and consistency of detection, which helps to improve the quality and reliability of the thread.

[0087] S3. Obtain specification information of the internal thread copper tube to be tested, and traverse a pre-built thread quality evaluation model database based on the specification information to retrieve a thread quality evaluation model corresponding to the specification information;

[0088] The specification information includes the wall thickness of the internal thread copper tube, the thread type, the thread specification, the material grade and the processing technology;

[0089] The wall thickness of the internal thread copper tube refers to the thickness of the internal thread copper tube wall, which directly affects the strength and pressure resistance of the pipe. By measuring the wall thickness, the structural characteristics of the pipe can be determined, and then the appropriate thread quality evaluation model can be selected;

[0090] Thread type and specification. Thread type includes commonly used internal thread types, while specification refers to the specific size parameters of the thread. Different thread types and specifications correspond to different quality evaluation models. Therefore, it is necessary to accurately obtain the thread type and specification information of the internal thread copper tube to be tested;

[0091] Material grade: The material grade of the internally threaded copper tube is directly related to its mechanical properties, corrosion resistance and other characteristics; different material grades may require targeted selection of appropriate quality evaluation models, so the material grade information must be accurately obtained;

[0092] Processing technology, which includes the processing method, processing equipment, processing parameters, etc. of the pipe; different processing technologies may affect the quality of the internally threaded copper pipe, so it is necessary to consider the processing technology information to retrieve the corresponding evaluation model;

[0093] The method for building the thread quality evaluation model database includes:

[0094] S31. Collect a large amount of specification information of internally threaded copper tubes and corresponding thread quality inspection data; collect working pressure and temperature range information of various types of internally threaded copper tubes in different application environments, as well as data on the impact of these environmental factors on thread performance;

[0095] S32. Preprocess the collected data, including missing value processing, outlier detection and correction, and data format unification to ensure data integrity and consistency; at the same time, associate specification information, thread quality inspection data, and environmental data to form a complete sample data set;

[0096] S33. Based on the sorted data set, characteristic variables that have a significant impact on thread quality evaluation are selected to obtain a training set for model training;

[0097] S34, selecting a machine learning model to develop a thread quality evaluation model, wherein the machine learning model includes linear regression, decision tree, support vector machine and neural network;

[0098] S35. Use the training set to train the model, and use an independent validation set to evaluate the performance of the trained model to ensure the stability and reliability of the model;

[0099] S36. Design database architecture, including table structure design, index settings and data relationship definition;

[0100] S37. Create a database and table according to the designed database architecture, import the sorted data, and obtain a thread quality evaluation model database;

[0101] The database contains the following main tables:

[0102] Specification information table, storing various specification information of internally threaded copper tubes;

[0103] Thread quality evaluation model table, which stores the developed thread quality evaluation models and their corresponding specification information ranges, model parameters, training data sources, evaluation results and other metadata;

[0104] The environmental factor table stores data on the environmental factors that various types of internally threaded copper tubes may face and their impact on thread performance.

[0105] In this step, by collecting a large amount of specification information and thread quality inspection data of internal threaded copper tubes, and performing preprocessing and association, the accuracy and consistency of the data are ensured; it is helpful to establish a reliable thread quality evaluation model; the thread quality evaluation model can be personalized according to the specific specification information of the internal threaded copper tube, so as to provide corresponding quality evaluation schemes for pipes of different specifications, thereby improving the accuracy and pertinence of the evaluation; by collecting data on environmental factors that various types of internal threaded copper tubes may face and their impact on thread performance, an environmental factor table is established; it is helpful to more comprehensively consider the impact of the actual application environment on thread quality and provide more reliable quality evaluation and correction schemes; based on the development of machine learning models, the efficiency and reliability of the evaluation model can be improved; the model is trained using a training set, and the performance of the model is evaluated using an independent validation set, thereby ensuring the stability and reliability of the model; a complete database architecture is designed, including a specification information table, a thread quality evaluation model table, and an environmental factor table, thereby realizing effective management and utilization of data; it is helpful to improve the accessibility and maintainability of data, and provides good support for thread quality evaluation;

[0106] In summary, through the implementation of this step, the accuracy, personalization and comprehensiveness of the thread quality evaluation of internal threaded copper tubes can be improved, providing strong support for the quality control and application of internal threaded copper tubes.

[0107] S4. Inputting the thread quality deviation data set into the thread quality evaluation model to obtain a preliminary evaluation index of the thread quality of the internal thread copper tube to be tested;

[0108] Step S4 uses a thread quality evaluation model that matches the specification information of the internal thread copper tube to be tested to quantitatively evaluate the actual deviation of the thread parameters and obtain a preliminary thread quality evaluation index. This index is the basis for subsequent application environment correction and qualified evaluation verification, and is of great significance for objectively and accurately judging the thread quality of internal thread copper tubes.

[0109] The method for constructing the thread quality evaluation model includes:

[0110] S41. Collect the thread quality data of internal copper pipes, including the actual measured thread parameters and design requirement information, and pre-process the data, including data cleaning, missing value processing, outlier detection and normalization, to ensure the quality and consistency of the data;

[0111] S42, selecting and extracting features related to thread quality from the processed data, and constructing a model training set;

[0112] S43, selecting a machine learning model as the basis of the model, wherein the machine learning model includes linear regression, decision tree, support vector machine and neural network;

[0113] S44, training the model using the model training set to learn the relationship between the features and the thread quality;

[0114] S45. After training, the model needs to be evaluated and tuned to ensure its performance and generalization ability;

[0115] S46. Deploy the tuned model to the actual internal thread copper pipe thread quality inspection system;

[0116] The calculation formula of the thread quality evaluation model is:

[0117] ;

[0118] Among them, Q represents the preliminary evaluation index of thread quality, n represents the total number of thread parameters, Indicates the deviation between the actual detection value and the design requirement value of the i-th thread parameter; It represents the influence weight of the deviation between the actual detection value and the design requirement value of the i-th thread parameter, is a function that normalizes the deviation.

[0119] In this step, by constructing a thread quality evaluation model, the thread quality of the internal thread copper tube to be tested can be accurately evaluated; the model is based on the actual measured thread parameter deviation data, combined with the design requirement information, and can quantitatively reflect the quality of the thread, providing an objective basis for subsequent quality correction and verification; compared with traditional manual measurement and visual inspection, the use of machine learning models for thread quality evaluation can improve detection efficiency and reduce labor and time costs; the model can automatically process a large amount of data and generate a preliminary thread quality evaluation index in a short time, providing timely feedback for subsequent processing; compared with manual measurement and visual inspection, the model's evaluation is more objective and accurate, and has a high consistency, and is not affected by individual subjective factors; the preliminary thread quality evaluation index is the basis for subsequent application environment correction, and can help to more accurately evaluate and adjust the thread quality according to the actual working environment; ensure that the internal thread copper tube can meet the expected performance requirements under various working conditions, and improve the stability and safety of the system;

[0120] In summary, the beneficial effects of step S4 include improving evaluation accuracy, increasing efficiency, reducing costs, and providing a reliable basis for subsequent application environment correction and conformity evaluation.

[0121] S5. Obtain application environment data information of the internally threaded copper tube to be tested, and use a pre-built environmental impact analysis model to identify the application environment data information to obtain a quality evaluation correction factor of the internally threaded copper tube to be tested;

[0122] Step S5 uses an environmental impact analysis model that matches the application environment of the internal thread copper tube to be tested to quantitatively evaluate the factors affecting the thread quality under actual use conditions, and obtains the quality evaluation correction factor, which is the key basis for subsequent application environment correction and qualification evaluation verification;

[0123] The application environment data information includes the working pressure limit of the internally threaded copper tube and the working temperature range of the internally threaded copper tube:

[0124] Working pressure limit: check the design documents, instructions for use, and engineering drawings to determine the maximum working pressure that the internally threaded copper tube to be tested is designed to withstand in actual applications;

[0125] Working temperature range: by consulting relevant information, determine the minimum and maximum working temperatures that the internally threaded copper tube may experience under normal operating conditions;

[0126] The method for constructing the environmental impact analysis model includes:

[0127] S51. Collect application environment data of internally threaded copper tubes, including the designed working pressure limit and working temperature range, and clean, organize and pre-process the collected data;

[0128] S42, extracting key features that affect thread quality from the processed data and constructing a model training set;

[0129] S43, selecting a machine learning model as the basis of the model, wherein the machine learning model includes linear regression, decision tree, support vector machine and neural network;

[0130] S44, training the model using the model training set;

[0131] S45. After training, evaluate and tune the model to ensure its performance and generalization ability;

[0132] S46. Deploy the tuned model to the actual internal copper pipe thread quality inspection to identify the application environment data information and obtain the quality evaluation correction factor.

[0133] In this step, the environmental impact analysis model can be used to quantitatively evaluate the degree of influence of working pressure and working temperature on the internal threaded copper tube under actual use conditions; it helps to understand the specific impact of environmental factors on thread quality and provides an objective basis for subsequent quality evaluation; by extracting key features from application environment data and combining the selection and training of machine learning models, a model that accurately predicts thread quality can be constructed; it helps to convert complex environmental factors into actionable data, so as to better understand the relationship between thread quality and environment; applying the constructed environmental impact analysis model to the quality evaluation of internal threaded copper tubes can correct thread quality deviations caused by environmental factors and improve the accuracy and reliability of the evaluation; it helps to more accurately judge whether the thread quality of the internal threaded copper tube meets the requirements, thereby improving the quality and reliability of the product; through the analysis and evaluation of environmental impacts, the key environmental factors affecting thread quality can be identified, and the production and quality control processes can be adjusted accordingly to minimize the adverse effects of environmental factors on thread quality, thereby improving the overall quality level of the product;

[0134] In summary, the implementation of step S5 helps to fully understand the relationship between the quality of internally threaded copper tubes and their application environment, improve the accuracy and reliability of quality evaluation, and optimize the quality control process, thereby providing important technical support and guidance for production and quality management.

[0135] S6. According to the quality evaluation correction factor of the internal thread copper tube to be tested, the initial thread quality evaluation index is corrected for the application environment to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested;

[0136] In step S6, the thread quality correction index of the internal thread copper tube to be tested is corrected for the application environment using the quality evaluation correction factor, and the thread quality correction evaluation index of the internal thread copper tube to be tested is obtained. This index comprehensively considers the influence of thread parameter deviation and application environment factors, and more accurately reflects the thread quality of the internal thread copper tube under actual use conditions, providing a scientific basis for subsequent qualified evaluation verification and final quality judgment;

[0137] According to the application environment data information of the internally threaded copper tube to be tested, the quality evaluation correction factor is identified;

[0138] The obtained quality evaluation correction factor is applied to the preliminary evaluation index of thread quality, which means that the preliminary evaluation index of thread quality is adjusted according to the different degrees of influence of environmental factors; if the internal thread copper tube will work in a high temperature and high pressure environment, the requirements for thread quality may be more stringent, and the evaluation index needs to be increased or decreased accordingly;

[0139] Combining the quality evaluation correction factor and the thread quality preliminary evaluation index, the thread quality correction evaluation index of the internal thread copper tube to be tested is calculated. This index comprehensively considers the thread quality preliminary evaluation index and the application environment correction factor, and more accurately reflects the actual thread quality of the internal thread copper tube.

[0140] Compare and verify the thread quality correction evaluation index with the preset qualified evaluation index. If the thread quality correction evaluation index meets the preset qualified standard, the thread quality of the internal thread copper tube is judged to be qualified; otherwise, further inspection is required;

[0141] In this step, by introducing the quality evaluation correction factor, the working conditions of the internal thread copper tube to be tested in the actual application environment are fully considered, and the preliminary evaluation index of thread quality is adjusted in a targeted manner, so that the final thread quality correction evaluation index can better reflect the actual thread quality of the internal thread copper tube in a specific environment, and enhance the environmental adaptability and practicality of the test results; the preliminary evaluation index of thread quality and the quality evaluation correction factor are used in combination to achieve a multi-dimensional and comprehensive evaluation of the thread quality of the internal thread copper tube; the comprehensive evaluation method takes into account both the deviation of the thread parameters themselves and the influence of environmental factors on the thread performance, avoiding the one-sidedness that may be caused by a single evaluation index, and improving the accuracy and reliability of the thread quality evaluation; the thread quality correction evaluation index is compared and verified with the preset qualified evaluation index to determine whether the thread quality of the internal thread copper tube is qualified; this process follows the standardized and normalized evaluation principles, avoids the influence of subjective judgment and empiricism, and makes the thread quality determination more scientific and fair; the thread quality correction evaluation index is not only the basis for determining whether the thread quality is qualified or not, but its specific value also reflects the quality of the thread, which can provide clear guidance for subsequent production improvements, usage decisions, maintenance, etc.;

[0142] In summary, step S6 realizes the environmental adaptability evaluation of the quality of internal copper pipe threads by introducing quality evaluation correction factors, improves the evaluation accuracy, promotes the scientific quality judgment, provides clear guidance information, and ensures the transparent traceability of the process, which is of great significance to improving the scientificity and effectiveness of quality inspection of internal copper pipe threads.

[0143] S7, using the preset qualified evaluation index to verify the thread quality correction evaluation index, and judging whether the thread quality of the internal thread copper pipe is qualified according to the verification result;

[0144] Step S7 uses the preset qualified evaluation index to verify the thread quality correction evaluation index, and makes a final judgment on whether the thread quality of the internal thread copper tube to be tested is qualified; this judgment result comprehensively considers the influence of thread parameter deviation, application environment factors, etc., has high scientificity and practicality, and provides a reliable basis for thread quality evaluation for the production and use of internal thread copper tubes;

[0145] For the qualified internal thread copper tubes, the thread quality grade shall be determined according to the specific value of the correction evaluation index, which can provide reference for subsequent use, maintenance, selection and other decisions; for the unqualified internal thread copper tubes, the reasons shall be further analyzed;

[0146] The thread quality determination results, verification process, and qualified evaluation index information used shall be recorded in detail in the test report to ensure the traceability and transparency of the test process;

[0147] Feedback the test results to the production department, quality management department, design department and other relevant departments to promote the rectification of unqualified products, optimization of production processes, improvement of testing methods, etc., and continuously improve the thread quality level of internal thread copper tubes;

[0148] The factors affecting the setting of the preset conformity evaluation index include:

[0149] Industry standards and specifications. The thread quality of internally threaded copper pipes is usually subject to industry standards and specifications, which stipulate the allowable deviation range of thread parameters, surface roughness requirements, etc., thus providing a basis for setting the qualification evaluation index;

[0150] Engineering design requirements: According to the specific application scenarios and engineering design requirements of internal thread copper tubes, the reasonable range of thread quality can be determined;

[0151] Actual application environment, considering the environmental conditions in which the internal thread copper tube is used in actual applications, different working environments have different requirements for thread quality, so it is necessary to adjust the qualified evaluation index according to the actual situation to ensure that the internal thread copper tube can work normally under various conditions;

[0152] Historical data and experience, based on previous test data and experience, can appropriately adjust and correct the conformity evaluation index to make it more in line with the actual situation and accurately reflect the level of thread quality;

[0153] Safety requirements: Considering the important role of internal threaded copper tubes in fluid transportation and high-pressure pressure-bearing systems, the setting of the conformity evaluation index must also consider the safety requirements of the system to ensure that the quality of the product can meet the needs of safe use.

[0154] In this step, the thread quality is verified by using the preset qualified evaluation index, and comprehensive consideration is given to factors such as thread parameter deviation and application environment, which provides a reliable basis for thread quality evaluation for the production and use of internal threaded copper tubes, helping to ensure that product quality meets requirements; the thread quality grade of qualified internal threaded copper tubes is determined according to the specific value of their corrected evaluation index, providing a reference for subsequent use, maintenance, selection and other decisions, helping users understand the quality level of the product and make appropriate decisions; the thread quality determination results, verification process and qualified evaluation index information used are recorded in detail in the test report to ensure the traceability and transparency of the test process. It helps relevant departments to optimize product quality, thereby improving production quality and efficiency; it feeds back the test results to the production department, quality management department, design department and other relevant departments to promote the rectification of unqualified products, optimization of production processes, improvement of testing methods, etc., and continuously improve the thread quality level of internal threaded copper tubes to ensure the stability and safety of products in different application environments; the setting of the preset qualified evaluation index is affected by many factors such as industry standards and specifications, engineering design requirements, actual application environment, historical data and experience, and safety requirements. Comprehensive consideration of these factors will help to formulate more scientific and reasonable evaluation indicators to ensure the dual protection of product quality and safety.

[0155] Embodiment 2: Figure 3 As shown, the internal thread copper pipe thread quality detection system of the present invention specifically includes the following modules:

[0156] A data acquisition module is used to collect the actual detection information of the thread parameters of the internal thread copper pipe to be tested and the thread parameter design requirement information in real time;

[0157] The thread quality deviation analysis module is used to analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain the thread quality deviation data set;

[0158] A model matching module is used to obtain specification information of the internal thread copper tube to be tested, and traverse a pre-built thread quality evaluation model database based on the specification information to retrieve a thread quality evaluation model corresponding to the specification information;

[0159] A thread quality preliminary evaluation module is used to input the thread quality deviation data set into the thread quality evaluation model to obtain a thread quality preliminary evaluation index of the internal thread copper tube to be tested;

[0160] An environmental impact analysis module is used to obtain application environment data information of the internally threaded copper tube to be tested, and identify the application environment data information using a pre-built environmental impact analysis model to obtain a quality evaluation correction factor for the internally threaded copper tube to be tested; the application environment data information includes the working pressure limit designed to withstand the internally threaded copper tube and the working temperature range designed for the internally threaded copper tube;

[0161] An application environment correction module is used to perform application environment correction on the preliminary thread quality evaluation index according to the quality evaluation correction factor of the internal thread copper tube to be tested, so as to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested;

[0162] The conformity verification module is used to verify the thread quality correction evaluation index using a preset conformity evaluation index, and determine whether the thread quality of the internal thread copper pipe is qualified based on the verification result.

[0163] The system obtains the actual detection information of thread parameters and design requirement information in real time through the data acquisition module, eliminating the reliance on traditional manual measurement and visual inspection, and improving the detection efficiency and accuracy;

[0164] The thread quality deviation analysis module can accurately analyze the difference between the actual test information and the design requirement information, form a thread quality deviation data set, and help quickly identify thread quality problems; the model matching module selects the applicable thread quality evaluation model according to the specification information of the internal thread copper tube to be tested, to ensure the pertinence and accuracy of the evaluation;

[0165] The environmental impact analysis module takes into account the impact of different working environments on thread performance, identifies application environment data information and corrects the evaluation index, making the evaluation closer to actual use; the system comprehensively considers thread parameter deviation, specification information and application environment factors, and through the synergy of multiple modules, it derives the thread quality correction evaluation index and provides a comprehensive quality evaluation;

[0166] The conformity verification module uses the preset conformity evaluation index to verify the thread quality and quickly determine whether the thread quality meets the requirements, thus improving the efficiency and reliability of quality management;

[0167] In summary, while improving detection accuracy, adaptability and efficiency, the system also fully considers the impact of the actual application environment on thread quality, providing reliable guarantee for the quality control and safety of internal threaded copper tubes.

[0168] The various variations and specific embodiments of the internal thread copper pipe thread quality detection method in the aforementioned embodiment 1 are also applicable to the internal thread copper pipe thread quality detection system of this embodiment. Through the aforementioned detailed description of the internal thread copper pipe thread quality detection method, those skilled in the art can clearly know the implementation method of the internal thread copper pipe thread quality detection system of this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0169] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0170] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for detecting the quality of internal thread copper pipe threads, characterized in that: The method comprises: Real-time collection of actual detection information of thread parameters of internal thread copper pipe to be tested and thread parameter design requirement information; Analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain the thread quality deviation data set; Obtain specification information of the internal thread copper tube to be tested, and traverse the pre-built thread quality evaluation model database based on the specification information to retrieve the thread quality evaluation model corresponding to the specification information; The thread quality deviation data set is input into the thread quality evaluation model to obtain the preliminary evaluation index of the thread quality of the internal thread copper tube to be tested; Obtain application environment data information of the internally threaded copper tube to be tested, and use a pre-built environmental impact analysis model to identify the application environment data information to obtain a quality evaluation correction factor of the internally threaded copper tube to be tested; the application environment data information includes a working pressure limit designed to withstand the internally threaded copper tube and a working temperature range designed for the internally threaded copper tube; According to the quality evaluation correction factor of the internal thread copper tube to be tested, the application environment is corrected for the preliminary evaluation index of thread quality to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested; Use the preset qualified evaluation index to verify the thread quality correction evaluation index, and determine whether the thread quality of the internal thread copper pipe is qualified based on the verification result; The thread parameters include the pitch, pitch, tooth angle, tooth top width, tooth bottom width, tooth flank angle, thread surface roughness, thread length, thread tooth height, thread hand direction and thread taper; The specification information includes the wall thickness of the internal thread copper tube, the thread type, the thread specification, the material grade and the processing technology; The calculation formula of the thread quality evaluation model is: ； Among them, Q represents the preliminary evaluation index of thread quality, n represents the total number of thread parameters, Indicates the deviation between the actual detection value and the design requirement value of the i-th thread parameter; It represents the influence weight of the deviation between the actual detection value and the design requirement value of the i-th thread parameter, is a function that normalizes the deviation.

2. The method for detecting the thread quality of an internally threaded copper pipe according to claim 1, characterized in that: The method for building the thread quality evaluation model database includes: Collect the specification information of internally threaded copper tubes and the corresponding thread quality inspection data; collect the working pressure and temperature range information of various types of internally threaded copper tubes in different application environments, as well as the impact of these environmental factors on thread performance; Preprocess the collected data, including missing value processing, outlier detection and correction, and data format unification; Based on the processed data, characteristic variables that have a significant impact on thread quality evaluation are selected to obtain a training set for model training; Selecting a machine learning model to develop a thread quality evaluation model, wherein the machine learning model includes linear regression, decision tree, support vector machine, and neural network; Use the training set to train the model, and use an independent validation set to evaluate the performance of the trained model; Design database architecture, including table structure design, index settings, and data relationship definitions; Create a database and table according to the designed database architecture, import the sorted data, and obtain the thread quality evaluation model database.

3. The method for detecting the thread quality of an internally threaded copper pipe according to claim 1, characterized in that: The method for constructing the thread quality evaluation model includes: Collect the quality data of internal copper pipe threads and preprocess the data, including data cleaning, missing value processing, outlier detection and normalization; Extract features from the processed data and construct a model training set; Selecting a machine learning model as the basis of the model, the machine learning model including linear regression, decision tree, support vector machine, and neural network; Use the model training set to train the model; After training is complete, the model is evaluated and tuned; The tuned model is deployed in the actual internal copper pipe thread quality inspection system.

4. The method for detecting the thread quality of an internally threaded copper pipe according to claim 1, characterized in that: The factors affecting the setting of the preset qualification evaluation index include industry standards and specifications, engineering design requirements, actual application environment, historical data and experience, and safety requirements.

5. A system for detecting the quality of internal thread copper pipe threads, characterized in that: The system comprises: A data acquisition module is used to collect the actual detection information of the thread parameters of the internal thread copper pipe to be tested and the thread parameter design requirement information in real time; The thread quality deviation analysis module is used to analyze the deviation between the actual detection information of thread parameters and the design requirement information of thread parameters to obtain the thread quality deviation data set; A model matching module is used to obtain specification information of the internal thread copper tube to be tested, and traverse a pre-built thread quality evaluation model database based on the specification information to retrieve a thread quality evaluation model corresponding to the specification information; A thread quality preliminary evaluation module is used to input the thread quality deviation data set into the thread quality evaluation model to obtain a thread quality preliminary evaluation index of the internal thread copper tube to be tested; An environmental impact analysis module is used to obtain application environment data information of the internally threaded copper tube to be tested, and identify the application environment data information using a pre-built environmental impact analysis model to obtain a quality evaluation correction factor for the internally threaded copper tube to be tested; the application environment data information includes the working pressure limit designed to withstand the internally threaded copper tube and the working temperature range designed for the internally threaded copper tube; An application environment correction module is used to perform application environment correction on the preliminary thread quality evaluation index according to the quality evaluation correction factor of the internal thread copper tube to be tested, so as to obtain the thread quality correction evaluation index of the internal thread copper tube to be tested; The conformity verification module is used to verify the thread quality correction evaluation index using a preset conformity evaluation index, and determine whether the thread quality of the internal thread copper pipe is qualified according to the verification result; The thread parameters include the pitch, pitch, tooth angle, tooth top width, tooth bottom width, tooth flank angle, thread surface roughness, thread length, thread tooth height, thread hand direction and thread taper; The specification information includes the wall thickness of the internal thread copper tube, the thread type, the thread specification, the material grade and the processing technology; The calculation formula of the thread quality evaluation model is: ； Among them, Q represents the preliminary evaluation index of thread quality, n represents the total number of thread parameters, Indicates the deviation between the actual detection value and the design requirement value of the i-th thread parameter; It represents the influence weight of the deviation between the actual detection value and the design requirement value of the i-th thread parameter, is a function that normalizes the deviation.

6. An electronic device for detecting the quality of internal thread copper pipe threads, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and characterized in that: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 4 are implemented.

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