Rubber and metal material riveting type pipeline detection method and device and storage medium

Abstract

The invention discloses a rubber and metal material riveting type pipeline detection method and device and a storage medium. The method comprises the steps of obtaining target pipe fitting fault projection data in response to pipeline detection request information; on the basis of the target pipe fitting fault projection data, buckling cross section information is determined, and the buckling cross section information at least comprises the diameter of a metal buckling sleeve, the diameter of an internal hard pipe and the side wall thickness of a plurality of rubber pipes; determining a detection result based on the buckling section information; based on the detection result, a control instruction set is generated, the control instruction set is used for controlling an alarm system to output early warning prompt information, and the early warning prompt information comprises at least one of information that the target pipe fitting is a qualified product and information that the target pipe fitting is a non-qualified product. The technical problem that in the prior art, high-precision internal defect detection of a rubber and metal riveting type pipeline cannot be achieved under the non-destructive condition is solved.

Description

Technical Field

[0001] This invention relates to pipeline inspection technology, and more specifically, to a method, apparatus, and storage medium for inspecting riveted rubber and metal pipelines. Background Technology

[0002] In the automotive manufacturing industry, riveted tubing made of rubber and metal plays a crucial role in powertrain cooling due to its unique structural characteristics. However, traditional inspection methods, such as destructive testing and two-dimensional X-ray imaging, face numerous limitations, including but not limited to the inability to maintain the integrity of the tubing, difficulty in accurately identifying internal microscopic defects, and limited guidance for adjusting process parameters.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, and storage medium for testing rubber-metal riveted pipes, thereby at least solving the technical problem in the prior art that high-precision internal defect detection of rubber-metal riveted pipes under non-destructive conditions is not possible.

[0005] According to one aspect of the present invention, in order to achieve the above-mentioned objective, a method for detecting rubber-metal riveted pipes is provided, comprising: acquiring tomographic projection data of a target pipe fitting in response to a pipe detection request; determining crimping section information based on the tomographic projection data of the target pipe fitting, the crimping section information including at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of multiple rubber pipe sidewalls; determining a detection result based on the crimping section information; and generating a control instruction set based on the detection result, the control instruction set being used to control an alarm system to output early warning information, wherein the early warning information includes at least one of the following: information indicating that the target pipe fitting is a qualified product, or information indicating that the target pipe fitting is a non-qualified product.

[0006] Furthermore, based on the tomographic projection data of the target pipe fitting, the crimping section information is determined, including: based on the tomographic projection data of the target pipe fitting, a three-dimensional model of the rubber-metal interface is established using a three-dimensional filtered back projection reconstruction algorithm; based on the three-dimensional model of the rubber-metal interface, at least one crimping section data is determined using an image segmentation algorithm; and based on the crimping section data, the crimping section information is determined.

[0007] Furthermore, based on the crimping cross-section information, the test results are determined, including: based on the crimping cross-section information, determining the crimping dimension status information; based on the crimping dimension status information, determining the crimping uniformity status information; and based on the crimping uniformity status information, determining the test results.

[0008] Further, based on the crimping cross-section information, the crimping dimension status information is determined, including: determining the diameter ratio of the metal crimping sleeve and the internal rigid tube based on the diameter of the metal crimping sleeve and the diameter of the internal rigid tube in the crimping cross-section information; determining the ratio error based on the diameter ratio using a first preset threshold in the benchmark database; judging the ratio error based on a second preset threshold in the benchmark database to obtain a first judgment result; responding to the first judgment result that the ratio error is less than or equal to the second preset threshold, the crimping dimension status information is in a qualified state; responding to the first judgment result that the ratio error is greater than the second preset threshold, the crimping dimension status information is in a non-qualified state.

[0009] Further, based on the crimping dimension status information, the crimping uniformity status information is determined, including: based on the crimping dimension status information being in a qualified state, and based on the multiple rubber tube sidewall thicknesses in the crimping cross-section information, determining multiple rubber tube sidewall compression amounts; based on a third preset threshold in the benchmark database, judging the multiple rubber tube sidewall compression amounts to obtain multiple second judgment results; in response to at least one of the multiple second judgment results being the third preset threshold for rubber tube sidewall compression, the crimping uniformity status information is in a unqualified state; in response to multiple second judgment results being all less than or equal to the third preset threshold for rubber tube sidewall compression... A preset threshold is used to determine the uniformity of the rubber tube sidewall thickness based on multiple rubber tube sidewall compression values. A third judgment result is obtained based on a fourth preset threshold in the benchmark database to determine the uniformity of the rubber tube sidewall thickness. If the third judgment result indicates that the uniformity of the rubber tube sidewall thickness is less than or equal to the fourth preset threshold, the crimping uniformity status information is determined to be in a qualified state. If the third judgment result indicates that the uniformity of the rubber tube sidewall thickness is greater than the fourth preset threshold, the crimping uniformity status information is determined to be in a substandard state. Finally, based on the fact that the crimping dimension status information is substandard, the crimping uniformity status information is determined to be substandard.

[0010] Furthermore, based on the crimping uniformity status information, the test results are determined, including: if the crimping uniformity status information indicates an unqualified crimping uniformity status, the test result is determined to be an unqualified target pipe fitting; if the crimping uniformity status information indicates a qualified crimping uniformity status, the test result is determined to be a qualified target pipe fitting.

[0011] Furthermore, the detection method also includes: based on the crimping section information, using the Euclidean distance algorithm, determining the deviation between the failed part and the benchmark data, and the deviation between the failed part and the benchmark data is used to determine the abnormal process of the target pipe fitting.

[0012] Furthermore, the detection method also includes: after the alarm system outputs a warning message, recording the status information of the target pipe fitting, wherein the status information includes at least one of the following: qualified status, unqualified status; based on the status information, generating a second control instruction set, the second control instruction set being used to control the detection system to execute a cyclic strategy, wherein the cyclic strategy includes at least one of the following: a strategy of eliminating the current target pipe fitting and detecting the next target pipe fitting.

[0013] According to one embodiment of the present invention, a testing device for a rubber-metal riveted pipe is also provided, comprising: an acquisition module for acquiring cross-sectional projection data of a target pipe fitting in response to a pipe testing request; an information module for determining crimping section information based on the cross-sectional projection data of the target pipe fitting, the crimping section information including at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of multiple rubber pipe sidewalls; a determination module for determining a testing result based on the crimping section information; and a generation module for generating a control instruction set based on the testing result, the control instruction set controlling an alarm system to output early warning information, wherein the early warning information includes at least one of the following: information indicating that the target pipe fitting is a qualified product, or information indicating that the target pipe fitting is a non-qualified product.

[0014] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0015] In this embodiment of the invention, the cross-sectional projection data of the pipe fitting is obtained, and the parameters of the crimping section are accurately analyzed using three-dimensional modeling technology, including the diameter of the metal crimping sleeve, the diameter of the internal rigid tube, and the thickness and uniformity of the rubber tube sidewall. This significantly improves the detection accuracy and efficiency, accurately identifies and locates potential defects inside the pipeline, effectively avoids irreversible damage to the pipeline caused by traditional detection methods, and can instantly obtain the qualified status information of the pipe fitting, generate control command sets in a timely manner, and link the alarm system to output early warning information, ensuring the instant screening and processing of non-conforming products on the production line, greatly reducing the defect rate, and solving the technical problem that it is impossible to achieve high-precision internal defect detection of rubber and metal riveted pipes under non-destructive conditions in the prior art. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a flowchart of a method for testing a rubber and metal riveted pipe according to one embodiment of the present invention; Figure 2 This is a flowchart of another method for testing rubber and metal riveted pipes according to one embodiment of the present invention; Figure 3 This is a structural block diagram of a rubber and metal riveted pipeline testing device according to one embodiment of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] According to an embodiment of the present invention, an embodiment of a method for detecting riveted pipes made of rubber and metal is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0020] This method embodiment can be executed in an electronic device or similar computing device that includes a memory and a processor. Taking operation on a vehicle terminal as an example, the vehicle terminal may include one or more processors (processors may include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), digital signal processing (DSP) chips, microcontroller units (MCUs), field-programmable gate arrays (FPGAs), neural network processors (NPUs), tensor processors (TPUs), artificial intelligence (AI) type processors, etc.) and a memory for storing data. Optionally, the vehicle terminal may also include transmission devices, input / output devices, and display devices for communication functions. Those skilled in the art will understand that the above structural description is merely illustrative and does not limit the structure of the vehicle terminal. For example, the vehicle terminal may include more or fewer components than described above, or have a different configuration than described above.

[0021] The memory can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the rubber-metal riveted pipe detection method in this embodiment of the invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, thereby realizing the aforementioned rubber-metal riveted pipe detection method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0022] The transmission device is used to receive or send data via a network. Specific examples of the network mentioned above may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0023] Display devices can be, for example, touchscreen liquid crystal displays (LCDs) and touch displays (also referred to as "touchscreens" or "touch displays"). The LCD allows users to interact with the user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), which allows users to interact with the GUI through finger contact and / or gestures on a touch-sensitive surface. Optional human-computer interaction functions include: creating web pages, drawing, word processing, creating electronic documents, playing games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital video, playing digital music, and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in one or more processor-executable computer program products or readable storage media.

[0024] Figure 1 This is a flowchart of a method for testing rubber and metal riveted pipes according to one embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps: Step S110: In response to the pipeline inspection request information, obtain the cross-sectional projection data of the target pipe fitting;

[0025] In step S110, after receiving the pipeline inspection request information, the detection system automatically or manually places the target pipe at the center of the industrial CT scanning equipment. A microfocus X-ray source is used for scanning, which has extremely high resolution, ensuring the scan results are accurate to the micrometer level, with a resolution ≤5μm. During the scan, the X-ray source and detector perform a 360° spiral motion around the pipe, ensuring that every angle and every layer of the pipe structure is accurately captured, thereby obtaining comprehensive tomographic projection data.

[0026] Step S120: Based on the cross-sectional projection data of the target pipe fitting, determine the crimping section information. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes.

[0027] In step S20, the tomographic projection data obtained from industrial CT scans is processed using a three-dimensional filtered back projection (FBP) reconstruction algorithm. This algorithm effectively removes noise and improves image quality. During reconstruction, the algorithm considers projection information from all directions and comprehensively calculates the three-dimensional density distribution of the internal structure of the pipe fitting. The result is a high-resolution three-dimensional model of the rubber-metal interface, with an accuracy down to the micrometer level, providing a detailed data foundation for subsequent analysis.

[0028] Based on the reconstructed 3D model of the rubber-metal interface, an image segmentation algorithm is then used. The goal of image segmentation is to separate and distinguish different materials in the model according to their physical properties. This process can clearly define the contact interface between the metal clamping sleeve and the rubber tube, as well as their respective independent geometric shapes.

[0029] Image segmentation is used to obtain the rubber-metal crimping interface. A specific algorithm is then used to determine the location and dimensions of at least one crimping section. The crimping section data is determined by selecting sections in the 3D model aligned with the manufacturing direction. These sections will be used for subsequent detailed analysis and include at least the diameter of the metal crimping sleeve, the diameter of the internal rigid tube, and the thickness of the sidewalls of multiple rubber tubes. With the specific crimping section data, further analysis and extraction of key crimping section information are possible. This includes the diameter of the metal crimping sleeve, the actual diameter of the internal rigid tube, and the sidewall thickness of the rubber tubes at different locations.

[0030] Step S140: Determine the test result based on the crimping section information;

[0031] In step S140, firstly, the diameter of the metal crimping sleeve and the diameter of the internal rigid tube are extracted from the crimping section information. Then, the ratio of their diameters, i.e., the ratio of the metal crimping sleeve diameter to the internal rigid tube diameter, is calculated. This ratio reflects the degree of crimping of the internal rigid tube by the metal crimping sleeve and is a key parameter for evaluating the crimping dimensional status.

[0032] Ratio Error Judgment: Using a first preset threshold in the benchmark database, the comparison value is compared with the ideal ratio to calculate the ratio error. The ideal ratio is determined through preliminary experiments and analysis and serves as a reference value to ensure the quality of pipe crimping. If the ratio error is less than or equal to the second preset threshold, the crimping size is considered acceptable; conversely, if the ratio error is greater than the second preset threshold, it indicates that the crimping size is unacceptable.

[0033] After confirming that the crimping dimensions are acceptable, the compression of the rubber tube sidewall is further analyzed. This is determined by comparing the sidewall thickness before and after crimping. The sidewall thickness of the rubber tube is measured in multiple directions, and the compression in each direction is calculated to obtain a set of rubber tube sidewall compression data.

[0034] The specific formula for calculating the compression amount is as follows: Li = (1-A / a)*100% (2);

[0035] Where a is the original thickness of the rubber tube sidewall before compression in the i-th direction, A is the thickness of the rubber tube sidewall after compression in the i-th direction, and Li is the amount of compression of the rubber tube sidewall in the i-th direction.

[0036] Based on the third preset threshold in the benchmark database, the compression amount of the rubber tube sidewall in each direction is judged individually. If the compression amount in any direction exceeds the second preset threshold, the crimping uniformity is immediately determined to be unqualified. If the compression amount in all directions does not exceed the second preset threshold, the thickness uniformity of the rubber tube sidewall will continue to be calculated.

[0037] The thickness uniformity is calculated by comparing the deviation of the rubber tube sidewall thickness in each direction from the average thickness. If the thickness uniformity is less than or equal to the fourth preset threshold, the compression uniformity of the rubber tube sidewall is considered good, and the crimping uniformity is qualified; if the thickness uniformity is greater than the thickness uniformity, the crimping uniformity is unqualified.

[0038] The specific formula for calculating the thickness uniformity is as follows: λ=(Li-L0) / L0(2;

[0039] Where λ is the thickness uniformity and L0 is the average value of the compression in multiple directions.

[0040] After analyzing the dimensional and uniformity information, the final test result is determined based on the crimping uniformity information. If the crimping uniformity information indicates that the test result is acceptable, the target fitting is considered acceptable; conversely, if the uniformity is unacceptable, the test result is unacceptable regardless of the dimensional status, because uniformity is crucial for the reliability and lifespan of the pipeline.

[0041] Step S160: Based on the detection results, a control instruction set is generated. The control instruction set is used to control the alarm system to output early warning information. The early warning information includes at least one of the following: information that the target pipe fitting is a qualified product, or information that the target pipe fitting is a non-qualified product.

[0042] In step S160, after inspecting the rubber-metal riveted pipe, the system determines whether the pipe meets the set quality standards based on the obtained data. If the inspection results show that the pipe meets the specifications, the system will generate a control command set, instructing the alarm system to output a warning message indicating that the target pipe is a qualified product. Conversely, if the inspection results show that the pipe has a quality problem, the system will also generate a control command set, but this time the command set will instruct the alarm system to output a warning message indicating that the target pipe is a non-qualified product. This mechanism ensures immediate quality feedback, which helps to quickly identify and handle non-conforming products.

[0043] For pipe fittings deemed unqualified, i.e., failed fittings, the system further utilizes the Euclidean distance algorithm to calculate the deviation between their crimping section information and benchmark data. This deviation is specifically measured by quantifying the differences in key parameters such as the diameter of the metal crimping sleeve, the diameter of the internal rigid tube, and the thickness of the rubber tube sidewall of the failed fitting, to determine the degree of deviation from the standard process.

[0044] Deviation analysis helps to accurately pinpoint abnormalities in the process flow, such as mold deformation, inaccurate pressure settings, or material defects, providing direct data support for subsequent process improvements. By comparing the differences in key parameters between failed parts and benchmark data, it is possible to determine which steps or parameters need optimization, thereby reducing the generation of defective products.

[0045] After the alarm system outputs a warning message, the detection system records the status information of each target pipe fitting, including whether the fitting is qualified or unqualified. This recording process provides basic data for subsequent quality control and data analysis.

[0046] Based on the status information of the pipe fittings, the system generates a second set of control instructions to control the inspection system to execute a cyclical strategy. The cyclical strategy includes at least one of the following: upon detecting a defective product, immediately remove the current pipe fitting and automatically initiate the inspection process for the next target pipe fitting, ensuring that defective products do not continue to circulate on the production line while maintaining the continuity and efficiency of the inspection process.

[0047] Based on the inspection results, the alarm system is linked to control the command set to output real-time warnings of whether the pipe fittings are qualified or not. For unqualified pipe fittings, the deviation of their process parameters from benchmark data is calculated using the Euclidean distance algorithm to pinpoint the specific process anomaly. The system automatically records the status information of each pipe fitting and generates a second control command set based on this information. This sets the loop strategy of the inspection system, rejecting unqualified products and continuing to inspect the next pipe fitting on the production line.

[0048] Based on steps S110 to S160 above, in this embodiment of the invention, the cross-sectional projection data of the pipe fitting is obtained, and the parameters of the crimping section are accurately analyzed using three-dimensional modeling technology, including the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness and uniformity of the rubber tube sidewall. This significantly improves the detection accuracy and efficiency, accurately identifies and locates potential defects inside the pipeline, effectively avoids irreversible damage to the pipeline caused by traditional detection methods, and can instantly obtain the qualified status information of the pipe fitting, generate control command sets in a timely manner, and link the alarm system to output early warning information, ensuring the instant screening and processing of non-conforming products on the production line, greatly reducing the defect rate, and solving the technical problem in the prior art that it is impossible to achieve high-precision internal defect detection of rubber and metal riveted pipes under non-destructive conditions.

[0049] The method for detecting rubber-metal riveted pipes according to embodiments of the present invention determines the crimping section information based on the cross-sectional projection data of the target pipe fitting. The method includes: establishing a three-dimensional model of the rubber-metal interface using a three-dimensional filtered back-projection reconstruction algorithm based on the cross-sectional projection data of the target pipe fitting; determining at least one crimping section data using an image segmentation algorithm based on the three-dimensional model of the rubber-metal interface; and determining the crimping section information based on the crimping section data. By applying the three-dimensional filtered back-projection reconstruction algorithm and image segmentation technology, the present invention can accurately establish a three-dimensional model of the rubber-metal interface, thereby determining at least one crimping section data and accurately extracting the crimping section information. The advantage of this method is that it greatly improves the accuracy and reliability of the detection, revealing the complex internal structure and defects of the pipe fitting at a micron-level resolution. Compared with traditional detection methods, it enables non-destructive testing while ensuring a comprehensive analysis of key parameters of the crimping process. This provides a scientific basis for the quality control and process optimization of rubber-metal riveted pipes, significantly improving production efficiency and product consistency.

[0050] Furthermore, based on the crimping cross-section information, the test results are determined, including: determining the crimping dimensional status information based on the crimping cross-section information; determining the crimping uniformity status information based on the crimping dimensional status information; and determining the test results based on the crimping uniformity status information. Through multi-level analysis based on crimping cross-section information, the test method proposed in this invention can meticulously evaluate the crimping dimensional status and uniformity status of rubber and metal riveted pipes, thereby ensuring the comprehensiveness and accuracy of the test results. The advantage of this method is that it can effectively identify and quantify minor deviations in the pipe manufacturing process, promptly detect potential hazards that may affect product quality and performance, such as improper crimping pressure, dimensional mismatch, or non-uniformity, and thus quickly provide a judgment on whether it is qualified or not. This provides strong support for real-time monitoring and quality control of the production line, helps improve product consistency and reliability, and also provides precise data guidance for process improvement.

[0051] In this embodiment, the crimping dimension status information is determined based on the crimping cross-section information, including: determining the diameter ratio of the metal crimping sleeve and the internal rigid tube based on the diameter of the metal crimping sleeve and the internal rigid tube in the crimping cross-section information; determining the ratio error based on the diameter ratio using a first preset threshold in the benchmark database; judging the ratio error based on a second preset threshold in the benchmark database to obtain a first judgment result; responding to the first judgment result that the ratio error is less than or equal to the second preset threshold, the crimping dimension status information is in a qualified state; responding to the first judgment result that the ratio error is greater than the second preset threshold, the crimping dimension status information is in a non-qualified state. Through multi-level analysis of the crimping cross-section information, the precise identification and quantification of minute deviations in the manufacturing process of rubber and metal riveted pipes are achieved, enabling rapid and accurate evaluation of the crimping dimension status and uniformity status, ensuring the comprehensiveness and reliability of the test results. This method significantly improves the quality control efficiency on the production line and helps to promptly identify potential problems affecting product quality and performance.

[0052] In an exemplary embodiment, determining the crimping uniformity status information based on the crimping dimension status information includes: determining multiple rubber tube sidewall compression amounts based on the multiple rubber tube sidewall thicknesses in the crimping cross-section information, based on the crimping dimension status information indicating a qualified crimping dimension status; judging the multiple rubber tube sidewall compression amounts based on a third preset threshold in a benchmark database to obtain multiple second judgment results; responding to at least one of the multiple second judgment results being the third preset threshold for rubber tube sidewall compression, the crimping uniformity status information is in a unqualified crimping uniformity status; responding to all multiple second judgment results being less than the third preset threshold for rubber tube sidewall compression... The uniformity of the rubber tube sidewall thickness is determined based on the compression of multiple rubber tube sidewalls, equal to the third preset threshold. Based on the fourth preset threshold in the benchmark database, the uniformity of the rubber tube sidewall thickness is judged to obtain a third judgment result. If the third judgment result indicates that the uniformity of the rubber tube sidewall thickness is less than or equal to the fourth preset threshold, the crimping uniformity status information is in a qualified state. If the third judgment result indicates that the uniformity of the rubber tube sidewall thickness is greater than the fourth preset threshold, the crimping uniformity status information is in a substandard state. Based on the crimping dimension status information indicating a qualified state, the crimping uniformity status information is determined to be substandard.

[0053] This embodiment utilizes precise assessment of crimping uniformity based on crimping dimension status information. Its advantage lies in its ability to systematically analyze the thickness variations of the rubber tube sidewalls, thereby quantifying the uniformity during the crimping process. By comparing multiple rubber tube sidewall compression values ​​with preset thresholds, it can quickly identify any localized non-uniformities exceeding the allowable range and further calculate the overall thickness uniformity of the rubber tube sidewalls, ensuring consistency across the entire crimping interface. This refined inspection process, combined with guidance from a benchmark database, not only instantly determines whether the pipe crimping uniformity is up to standard but also effectively prevents product failures caused by uneven crimping, significantly improving product quality and production efficiency.

[0054] In this embodiment, the test result is determined based on the crimping uniformity status information, including: if the crimping uniformity status information indicates an unqualified crimping uniformity state, the test result is determined to be an unqualified target pipe fitting; if the crimping uniformity status information indicates a qualified crimping uniformity state, the test result is determined to be a qualified target pipe fitting. By directly linking the crimping uniformity status information with the final test result, the quality assessment of rubber and metal riveted pipes is simplified and standardized. The advantage of this method is that it can quickly and accurately transform the complex crimping interface uniformity analysis into an intuitive qualified / unqualified judgment, avoiding the subjectivity and time consumption of manual interpretation, ensuring that every product undergoes rigorous quality screening, and significantly improving production efficiency and product consistency.

[0055] In an exemplary embodiment, the detection method further includes: determining the deviation between the failed component and benchmark data based on the crimping section information using an Euclidean distance algorithm. This deviation is used to identify any abnormal process steps in the target pipe fitting's manufacturing process. By introducing the Euclidean distance algorithm to quantify the deviation between the crimping section information and benchmark data, this technique offers the advantage of objectively and accurately identifying specific abnormal process steps in the rubber-metal riveting process of the target pipe fitting. Using Euclidean distance as a metric not only allows for a detailed assessment of the discrepancies between each manufacturing detail and the ideal state but also enables rapid identification of the root causes of crimping uniformity or dimensional defects, such as insufficient mold precision or inaccurate pressure control. This provides a basis for timely adjustment of process parameters and optimization of the production process.

[0056] In an exemplary embodiment, the detection method further includes: after the alarm system outputs a warning message, recording the status information of the target pipe fitting, wherein the status information includes at least one of the following: qualified status, unqualified status; and generating a second control instruction set based on the status information, the second control instruction set being used to control the detection system to execute a cyclic strategy, wherein the cyclic strategy includes at least one of the following: a strategy of eliminating the current target pipe fitting and detecting the next target pipe fitting.

[0057] This embodiment significantly enhances the real-time feedback and automated processing capabilities of production quality control by integrating the alarm system and status information recording mechanism. Once a quality problem is detected in a target pipe fitting, triggering an early warning, the system immediately records its qualified or unqualified status and then automatically generates a second set of control instructions. The instructions then command the detection system to execute a cyclical strategy, such as automatically rejecting unqualified pipe fittings and seamlessly connecting to the next product to be inspected. This mechanism not only reduces the need for manual intervention and avoids the subsequent circulation of unqualified products, but also speeds up the entire inspection and production process, improving the continuity and efficiency of workshop operations.

[0058] Figure 2 This is another method for testing rubber and metal riveted pipes according to one embodiment of the present invention, such as... Figure 2 As shown, the method includes the following steps: Step 201: In response to the pipeline inspection request information, obtain the cross-sectional projection data of the target pipe fitting; Step 202: Determine the crimping section information based on the target pipe fitting tomographic projection data; Step 203: Based on the diameter of the metal crimp sleeve and the diameter of the internal rigid tube in the crimp cross section information, determine the diameter ratio of the metal crimp sleeve and the internal rigid tube. Step 204: Based on the diameter ratio, determine the ratio error using the first preset threshold in the benchmark database; Step 205: Based on the second preset threshold in the benchmark database, the error of the comparison value is judged to obtain the first judgment result; Step 206: In response to the first judgment result that the ratio error is less than or equal to the second preset threshold, the buckling size status information is that the buckling size is qualified. Step 207: In response to the first judgment result that the ratio error is greater than the second preset threshold, the crimping size status information is that the crimping size is unqualified. Step 208: Based on the crimping dimension status information, which indicates that the crimping dimension is in a qualified state, and based on the multiple rubber tube sidewall thicknesses in the crimping cross-section information, determine the compression amount of multiple rubber tube sidewalls. Step 209: Based on the third preset threshold in the benchmark database, the compression amount of multiple rubber tube sidewalls is judged to obtain multiple second judgment results; Step 210: In response to at least one of the multiple second judgment results being a third preset threshold for the compression amount of the rubber tube sidewall, the buckling uniformity status information is a buckling uniformity unqualified state. Step 211: In response to multiple second judgment results being that the rubber tube sidewall compression is less than or equal to a third preset threshold, determine the uniformity of the rubber tube sidewall thickness based on multiple rubber tube sidewall compression values. Step 212: Based on the fourth preset threshold in the benchmark database, the uniformity of the rubber tube sidewall thickness is judged to obtain the third judgment result; Step 213: In response to the third judgment result that the uniformity of the rubber tube sidewall thickness is less than or equal to the fourth preset threshold, the buckling uniformity status information is in the qualified state of buckling uniformity. Step 214: In response to the third judgment result that the uniformity of the rubber tube sidewall thickness is greater than the fourth preset threshold, the buckling uniformity status information is a buckling uniformity unqualified state. Step 215: Based on the fact that the crimping dimension status information is in the qualified state of the non-crimped dimension, the crimping uniformity status information is determined to be in the unqualified state of crimping uniformity. Step 216: Based on the information that the crimping uniformity is unqualified, the test result is determined to be that the target fitting is unqualified.

[0059] Step 217: Based on the crimping uniformity status information, which indicates that the crimping uniformity is qualified, the test result is determined to be qualified for the target pipe fitting.

[0060] Based on steps S201 to S217 above, in this embodiment of the invention, the cross-sectional projection data of the pipe fitting is obtained, and the parameters of the crimping section are accurately analyzed using three-dimensional modeling technology, including the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness and uniformity of the rubber tube sidewall. This significantly improves the detection accuracy and efficiency, accurately identifies and locates potential defects inside the pipeline, effectively avoids irreversible damage to the pipeline caused by traditional detection methods, and can instantly obtain the qualified status information of the pipe fitting, generate control command sets in a timely manner, and link the alarm system to output early warning information, ensuring the instant screening and processing of non-conforming products on the production line, greatly reducing the defect rate, and solving the technical problem in the prior art that it is impossible to achieve high-precision internal defect detection of rubber and metal riveted pipes under non-destructive conditions.

[0061] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0062] This invention also provides a detection device for riveted rubber and metal pipes, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0063] Figure 3 According to one embodiment of the present invention, a testing device for a rubber and metal riveted pipe includes: The acquisition module 310 is used to acquire the cross-sectional projection data of the target pipe fitting in response to the pipeline inspection request information; Information module 320 is used to determine the crimping section information based on the cross-sectional projection data of the target pipe fitting. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid tube, and the thickness of the sidewalls of multiple rubber tubes. The determination module 330 is used to determine the test results based on the crimping section information;

[0064] The generation module 340 is used to generate a control instruction set based on the detection results. The control instruction set controls the alarm system to output early warning information, wherein the early warning information includes at least one of the following: the target pipe fitting is a qualified product information, or the target pipe fitting is a non-qualified product information.

[0065] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0066] According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described detection method for rubber and metal riveted pipes during operation.

[0067] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program: Step S1: In response to the pipeline inspection request information, obtain the cross-sectional projection data of the target pipe fitting; Step S2: Based on the cross-sectional projection data of the target pipe fitting, determine the crimping section information. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes. Step S3: Determine the test result based on the crimping section information;

[0068] Step S4: Based on the detection results, generate a control instruction set. The control instruction set is used to control the alarm system to output early warning information. The early warning information includes at least one of the following: information that the target pipe fitting is a qualified product, or information that the target pipe fitting is a non-qualified product.

[0069] According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to perform the above-described detection method for rubber and metal riveted pipes.

[0070] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps: Step S1: In response to the pipeline inspection request information, obtain the cross-sectional projection data of the target pipe fitting; Step S2: Based on the cross-sectional projection data of the target pipe fitting, determine the crimping section information. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes. Step S3: Determine the test result based on the crimping section information;

[0071] Step S4: Based on the detection results, generate a control instruction set. The control instruction set is used to control the alarm system to output early warning information. The early warning information includes at least one of the following: information that the target pipe fitting is a qualified product, or information that the target pipe fitting is a non-qualified product.

[0072] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0073] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described method for detecting rubber and metal riveted pipes.

[0074] Optionally, in this embodiment, the above-mentioned computer program product can be configured as a computer program that performs the following steps: Step S1: In response to the pipeline inspection request information, obtain the cross-sectional projection data of the target pipe fitting; Step S2: Based on the cross-sectional projection data of the target pipe fitting, determine the crimping section information. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes. Step S3: Determine the test result based on the crimping section information;

[0075] Step S4: Based on the detection results, generate a control instruction set. The control instruction set is used to control the alarm system to output early warning information. The early warning information includes at least one of the following: information that the target pipe fitting is a qualified product, or information that the target pipe fitting is a non-qualified product.

[0076] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0077] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0078] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0079] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0082] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for testing rubber-metal riveted pipes, characterized in that, include: In response to a pipeline inspection request, obtain the cross-sectional projection data of the target pipe fitting; Based on the tomographic projection data of the target pipe fitting, the crimping section information is determined. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes. Based on the crimping cross-section information, the test result is determined; Based on the detection results, a control instruction set is generated. The control instruction set is used to control the alarm system to output early warning information. The early warning information includes at least one of the following: the target pipe fitting is a qualified product, or the target pipe fitting is a non-qualified product.

2. The method for detecting rubber and metal riveted pipes according to claim 1, characterized in that, Based on the tomographic projection data of the target pipe fitting, the crimping section information is determined, including: Based on the tomographic projection data of the target pipe fitting, a three-dimensional model of the rubber-metal interface is established using a three-dimensional filtered back projection reconstruction algorithm. Based on the three-dimensional model of the rubber-metal interface, at least one cladding section data is determined using an image segmentation algorithm; Based on the crimping section data, the crimping section information is determined.

3. The method for detecting rubber and metal riveted pipes according to claim 1, characterized in that, Based on the crimping cross-section information, the test result is determined, including: Based on the crimping cross-section information, the crimping dimension status information is determined; Based on the buckling dimension status information, the buckling uniformity status information is determined; The detection result is determined based on the buckling uniformity status information.

4. The method for detecting rubber and metal riveted pipes according to claim 3, characterized in that, Based on the crimping cross-section information, the crimping dimension status information is determined, including: Based on the diameter of the metal crimp sleeve and the diameter of the internal rigid tube in the crimp cross-section information, determine the diameter ratio of the metal crimp sleeve and the internal rigid tube; Based on the diameter ratio, the ratio error is determined using a first preset threshold in the benchmark database; Based on the second preset threshold in the benchmark database, the ratio error is judged to obtain a first judgment result; In response to the first judgment result being that the ratio error is less than or equal to the second preset threshold, the crimping size status information is a crimping size qualified status; In response to the first judgment result that the ratio error is greater than the second preset threshold, the crimping size status information is a crimping size non-conforming status.

5. The method for detecting rubber-metal riveted pipes according to claim 4, characterized in that, Based on the buckling dimension status information, the buckling uniformity status information is determined, including: Based on the fact that the crimping dimension status information is in a qualified state, and based on the multiple rubber tube sidewall thicknesses in the crimping cross-section information, multiple rubber tube sidewall compression amounts are determined; Based on the third preset threshold in the benchmark database, the compression amount of the sidewalls of multiple rubber tubes is judged to obtain multiple second judgment results; In response to at least one of the multiple second judgment results being a third preset threshold for the compression amount of the rubber tube sidewall, the buckling uniformity status information is a buckling uniformity unqualified state; In response to multiple second judgment results being that the compression amount of the rubber tube sidewall is less than or equal to the third preset threshold, the uniformity of the rubber tube sidewall thickness is determined based on multiple rubber tube sidewall compression amounts. Based on the fourth preset threshold in the benchmark database, the uniformity of the sidewall thickness of the rubber tube is judged to obtain a third judgment result; In response to the third judgment result that the uniformity of the rubber tube sidewall thickness is less than or equal to the fourth preset threshold, the crimping uniformity status information is in the qualified state of crimping uniformity. In response to the third judgment result that the uniformity of the rubber tube sidewall thickness is greater than the fourth preset threshold, the crimping uniformity status information is a crimping uniformity unqualified state. Based on the fact that the crimping dimension status information is in a non-compliant state, the crimping uniformity status information is determined to be in a non-compliant state.

6. The method for detecting rubber-metal riveted pipes according to claim 5, characterized in that, Based on the buckling uniformity status information, the detection result is determined, including: Based on the fact that the crimping uniformity status information is in a state of non-compliance, the test result is determined to be that the target pipe fitting is unqualified; Based on the fact that the crimping uniformity status information indicates a qualified crimping uniformity status, the test result is determined to be that the target pipe fitting is qualified.

7. The method for testing rubber and metal riveted pipes according to claim 1, characterized in that, The detection method further includes: Based on the crimping section information, the deviation between the failed component and the benchmark data is determined using the Euclidean distance algorithm. The deviation between the failed component and the benchmark data is used to determine the abnormal process of the target pipe fitting.

8. The method for detecting rubber and metal riveted pipes according to claim 1, characterized in that, The detection method further includes: After the alarm system outputs a warning message, the status information of the target pipe fitting is recorded, wherein the status information includes at least one of the following: qualified status, unqualified status; Based on the state information, a second set of control instructions is generated. The second set of control instructions is used to control the detection system to execute a cyclic strategy, wherein the cyclic strategy includes at least one of the following: a strategy of eliminating the current target pipe and detecting the next target pipe.

9. A testing device for a rubber-metal riveted pipe, characterized in that, include: The acquisition module is used to acquire cross-sectional projection data of the target pipe fitting in response to pipeline inspection request information; The information module is used to determine the crimping section information based on the cross-sectional projection data of the target pipe fitting. The crimping section information includes at least: the diameter of the metal crimping sleeve, the diameter of the internal rigid pipe, and the thickness of the sidewalls of multiple rubber tubes. The determination module is used to determine the test result based on the crimping cross-section information; The generation module is used to generate a control instruction set based on the detection results. The control instruction set controls the alarm system to output early warning information, wherein the early warning information includes at least one of the following: the target pipe fitting is a qualified product information, or the target pipe fitting is a non-qualified product information.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the detection method for rubber and metal riveted pipes as described in any one of claims 1 to 8.

Images