Tension and compression performance detection method of pipeline cold insulation material

Abstract

The invention discloses a tension and compression performance detection method of a pipeline cold insulation material, and relates to the technical field of tension and compression performance detection of the pipeline cold insulation material, sampling is carried out from the pipeline cold insulation material according to a standard method, during sampling detection, sampling points avoid a defect area, samples are uniformly distributed in a cold insulation layer, and a test result is obtained through a test execution module. The test execution module is used for executing texture strength detection and structure tension and compression tests on the surface of the pipeline, outputting a pipeline cold insulation material tension and compression performance detection analysis report through the data analysis and evaluation module based on the test execution module, and uploading data acquired by the test execution module to the data acquisition terminal; through optimization of comprehensive performance evaluation, environmental adaptability test, long-term performance tracking, a standardized test method and an intelligent detection strategy, the defects in the aspect of tension and compression performance detection of the pipeline cold insulation material in the prior art can be effectively overcome, the accuracy and reliability of material evaluation are improved, and a powerful guarantee is provided for safe operation of pipeline engineering.

Description

Technical Field

[0001] The invention relates to the technical field of tensile and compressive performance detection of pipeline cold insulation materials, and in particular to a tensile and compressive performance detection method of pipeline cold insulation materials. Background Art

[0002] Pipeline insulation materials need to have good tensile and compressive properties in low-temperature environments to maintain their structural stability and insulation effect. Tensile and compressive performance testing is an important means to evaluate the mechanical properties of materials. By measuring the force-displacement relationship of the material during tension and compression, key parameters such as the material's strength and toughness can be understood.

[0003] At present, existing technologies often only focus on a single property of the material, such as tensile strength or compressive strength, but ignore the comprehensive performance of the material under complex stress states, which leads to unexpected failure modes of the material under certain specific working conditions in actual applications; the working environment of pipeline insulation materials is usually harsh, and existing technologies often fail to fully consider the impact of these environmental factors on material properties, resulting in deviations between test results and actual performance; pipeline insulation materials will undergo aging and corrosion during use, and these factors will significantly affect the long-term performance of the material, and existing technologies often lack tracking and evaluation of these long-term performance changes; different manufacturers or research institutions have differences in testing methods, which makes it difficult to directly compare and evaluate test results, which increases the difficulty of material selection and application and leads to insufficient standardization of testing methods. Summary of the invention

[0004] The purpose of the present invention is to provide a method for testing the tensile and compressive properties of pipeline cold insulation materials, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solutions, and the tensile and compressive performance detection method is as follows:

[0006] Preparation for testing: Take samples from the pipeline insulation material according to standard methods. When sampling for testing, avoid defective areas and evenly distribute the samples in the insulation layer.

[0007] Data test execution, through the test execution module, performs texture strength detection on the pipeline surface, as well as tensile and compression tests on the structure;

[0008] Data analysis and processing, based on the test execution module, outputs a pipeline cold insulation material tensile and compressive performance detection and analysis report through a data analysis and evaluation module, wherein the data analysis and evaluation module includes an image texture strength evaluation unit, a tensile strength prediction unit under cold insulation performance, and a pressure stability evaluation unit;

[0009] Data uploading, uploading the data collected by the test execution module to the data acquisition terminal;

[0010] The equipment used by the test execution module includes a universal testing machine and an image sensor, the universal testing machine is used to perform tensile and compression tests, and the image sensor is used to perform surface texture image detection;

[0011] The equipment used in the data analysis and evaluation module includes image processing software for analyzing the image of the sample surface and the texture characteristics of the surface.

[0012] Optionally, the calculation formula of the image texture intensity evaluation unit is as follows:

[0013]

[0014] np=(T+1) / 2;

[0015] in:

[0016] WQ is the texture strength index;

[0017] T is the total pixel index of the image;

[0018] n is the pixel index;

[0019] TSH n is the grayscale index of the nth pixel;

[0020] np is the average pixel index;

[0021] The evaluation process of the image texture intensity evaluation unit is as follows:

[0022] Through the test execution module, within the execution detection range of the total pixel index T of the image, input the pixel index index n, the pixel grayscale index TSH n and the pixel index average index np, and output the texture intensity index WQ for evaluating the microstructural characteristics of the pipeline surface.

[0023] Optionally, the calculation formula for predicting the tensile strength unit under the cold preservation performance is as follows:

[0024] LQ = JQ*(1+A*WY+LY);

[0025] WY=A*((WQ-WQ min ) / (WQ max -WQ min ));

[0026] LY=B*((BL-BL min ) / (BL max -BL min ));

[0027] in:

[0028] LQ is the tensile strength index;

[0029] JQ is the standard tensile strength index;

[0030] WQ is the texture strength index, WQ min is the minimum texture intensity index, WQ max The maximum index of texture strength; BL is the cold insulation performance index, BL min is the minimum index of cold preservation performance, BL max It is the maximum index of cold preservation performance;

[0031] WY is the texture strength influence index, which reflects the influence of the surface microstructure of the material on the mechanical properties;

[0032] LY is the cold-keeping performance impact index, which reflects the influence of cold-keeping performance on mechanical properties;

[0033] A and B are the weight coefficients of WQ and BL, respectively. α reflects the sensitivity of WQ change to LQ, and β reflects the sensitivity of BL change to LQ.

[0034] The prediction process of the tensile strength unit under the cold insulation performance is as follows:

[0035] Based on the texture strength index WQ output by the image texture strength evaluation unit and the reference standard of the standard tensile strength index JQ, and considering the influence of the cold insulation performance index BL and the texture strength index WQ on the mechanical properties of the material, the tensile strength of the predicted material, namely the tensile strength index LQ, is output.

[0036] Optionally, the calculation formula of the pressure stability evaluation unit is as follows:

[0037]

[0038] in:

[0039] YP is the pressure stability assessment index;

[0040] CLQ is a reference tensile strength index, and CLQ is specifically the tensile strength index LQ predicted and output in the predicted tensile strength unit under the cold preservation performance described previously;

[0041] YM is the pressure sensitivity index;

[0042] BLP is the average index of cold preservation performance;

[0043] The evaluation process of the pressure stability evaluation unit is as follows:

[0044] Taking into account the influence of the change of tensile strength index LQ, pressure sensitivity index YM and cold insulation performance index BL on stability, the pressure stability evaluation index YP is output.

[0045] Optionally, based on the pressure stability evaluation index YP output by the pressure stability evaluation unit, a specific adjustment strategy of the tension and compression performance detection method is as follows:

[0046] S1. If the result value of the tensile strength index LQ is too high and the result value of the pressure stability evaluation index YP is too low, it is considered that the intensity of the pressure test is more inclined to increase, that is, the test pressure intensity of the universal testing machine;

[0047] S2. If the result value of the tensile strength index LQ changes significantly and the result value of the pressure stability evaluation index YP is low, it is considered that the duration of the pressure test is more inclined to increase, that is, the test pressure time of the universal testing machine;

[0048] S3. If the result values ​​of the tensile strength index LQ and the pressure stability evaluation index YP tend to be flat, it is considered that the pressure intensity and time of the tension and compression performance testing method are appropriate, the pressure of the pipeline is stable under pressure, and the current tension and compression performance testing method should be maintained.

[0049] Optionally, the change of the tensile strength index LQ and the pressure stability evaluation index YP result value is evaluated as follows:

[0050] The change in the tensile strength index LQ result value mainly evaluates the difference between the tensile strength index LQ and the reference tensile strength index CLQ. If the tensile strength index LQ result value changes significantly, that is, it decreases significantly, the mechanical properties of the pipeline under pressure are obviously degraded, and the duration of the pressure test is increased to observe the long-term stability of the pipeline; if the tensile strength index LQ result value changes too high, that is, the tensile strength index LQ is higher than the reference tensile strength index CLQ, it is considered that the mechanical properties of the pipeline under pressure are insufficiently stressed, and the intensity of the pressure test is increased;

[0051] The change in the result value of the pressure stability assessment index YP requires checking whether the result value of the cold insulation performance index BL is at a low level, and combining the cold insulation performance index BL in the pressure stability assessment unit to analyze its impact on the pressure stability assessment index YP. If the result value of the cold insulation performance index BL is low and has a significant negative impact on the pressure stability assessment index YP, it means that the cold insulation performance of the pipeline is insufficient, thereby increasing the intensity of the pressure test.

[0052] Optionally, the nth pixel grayscale index TSH nThe grayscale index involved is usually obtained by converting the values ​​of the three color channels of red (R), green (G), and blue (B) of each pixel of the color image according to a certain weight ratio.

[0053] Optionally, the cold insulation performance index BL is a parameter that quantifies the cold insulation ability of a material. It is usually not a single value obtained directly through measurement, but is output based on a series of thermal tests and performance evaluation calculations, and the evaluation calculations include thermal conductivity tests, temperature decay tests, and numerical simulations and experimental verifications;

[0054] The cold insulation performance average index BLP is the arithmetic mean of the cold insulation performance indexes BL of all tested pipes, and is used to indicate the average level of the overall cold insulation performance;

[0055]

[0056] m is the total number of test pipelines, BL i is the BL value of the i-th test pipeline;

[0057] The maximum cold-keeping performance index BL max and the minimum cold insulation performance index BL min They respectively represent the highest and lowest levels of the cold insulation performance index BL in all the tested pipes.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. The present invention introduces an image texture strength evaluation unit, a tensile strength prediction unit under cold-keeping performance, and a pressure stability evaluation unit for evaluation and analysis, and incorporates multiple parameters of the material's tensile performance, compression performance, and cold-keeping performance into the evaluation system to achieve comprehensive performance evaluation, which helps to have a more comprehensive understanding of the material's mechanical properties and usage potential.

[0060] 2. During the testing process, the present invention fully considers the influence of environmental factors on material properties, and performs testing by simulating the actual working environment to improve the accuracy and reliability of the test results, thereby ensuring the purpose of environmental adaptability testing.

[0061] 3. The present invention establishes a long-term performance tracking mechanism to regularly test the performance of pipeline cold insulation materials in use, evaluate the impact of aging and corrosion processes on performance, and provide a scientific basis for material replacement and maintenance.

[0062] 4. The present invention promotes the formulation and improvement of industry standards, unifies test methods and evaluation standards, and improves the comparability and mutual recognition of test results between different manufacturers or research institutions.

[0063] 5. The present invention utilizes modern sensing technology and data analysis technology to realize intelligent detection and evaluation of pipeline cold insulation materials. Through real-time monitoring and data analysis, potential problems can be discovered in time and measures can be taken to deal with them, thereby improving the safety and reliability of pipeline operation and achieving intelligent detection effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a flow chart of the method for testing the tensile and compressive properties of the pipeline cold insulation material;

[0065] Figure 2 This is a schematic diagram of the structure of the pipeline data analysis and evaluation module;

[0066] Figure 3 It is a schematic diagram of the strategy adjustment of the tensile and compressive performance detection method of the present invention;

[0067] Figure 4 It is a schematic diagram of the effect of the tensile and compressive performance detection method of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] The tensile and compressive performance testing method of the present pipeline cold insulation material is different from the existing tensile and compressive performance testing method of the present pipeline cold insulation material. The existing tensile and compressive performance testing method of the present pipeline cold insulation material often only focuses on the single performance of the material, while ignoring the comprehensive performance of the material under complex stress states, and the existing tensile and compressive performance testing method often fails to fully consider the impact of these environmental factors on the material performance, resulting in a deviation between the test results and the actual performance. In addition, there is not only a lack of tracking and evaluation of these long-term performance changes, but also differences in testing methods, which increases the difficulty of material selection and application, resulting in insufficient standardization of testing methods. The present algorithm can effectively solve the shortcomings of the existing technology in the tensile and compressive performance testing of pipeline cold insulation materials through comprehensive performance evaluation, environmental adaptability testing, long-term performance tracking, standardized testing methods and optimization of intelligent detection strategies, improve the accuracy and reliability of material evaluation, and provide strong guarantees for the safe operation of pipeline projects.

[0070] For example, see Figures 1 to 4 This embodiment provides a method for testing the tensile and compressive properties of pipeline cold insulation materials. The tensile and compressive properties testing method is as follows:

[0071] Preparation for testing: Take samples from the pipeline insulation material according to standard methods. When sampling for testing, avoid defective areas and evenly distribute the samples in the insulation layer.

[0072] Data test execution, through the test execution module, performs texture strength detection on the pipeline surface, as well as tensile and compression tests on the structure;

[0073] Data analysis and processing, based on the test execution module, outputs the pipeline cold insulation material tensile and compressive performance test analysis report through the data analysis and evaluation module. The data analysis and evaluation module includes an image texture strength evaluation unit, a tensile strength prediction unit under cold insulation performance, and a pressure stability evaluation unit;

[0074] Data upload: upload the data collected by the test execution module to the data acquisition terminal;

[0075] The equipment used by the test execution module includes a universal testing machine and an image sensor. The universal testing machine is used to perform tensile and compression tests, and the image sensor is used to perform surface texture image detection.

[0076] The equipment used in the data analysis and evaluation module includes image processing software for analyzing the image of the sample surface and the texture characteristics of the surface.

[0077] In this embodiment, the system can form a tensile and compressive performance detection method that integrates comprehensive performance evaluation, environmental adaptability test, long-term performance tracking, standardized test methods and optimization of intelligent detection strategies through the mutual cooperation of three algorithm units, combined with the three operation results of WQ, LQ and YP. WQ is the texture strength index, which evaluates the microstructure characteristics of the material surface as a preliminary indicator for predicting mechanical properties and indirectly relates to the cold insulation performance. LQ is the tensile strength index, which uses the texture strength index WQ and the standard tensile strength index JQ, and considers the influence of the cold insulation performance index BL on the mechanical properties of the material. The tensile strength of the material is predicted, and YP is the pressure stability evaluation index. It evaluates the stability of the material under pressure by considering the combined influence of the change in the tensile strength index LQ, the pressure sensitivity index YM and the cold insulation performance index BL. Special attention is also paid to the influence of the cold insulation performance index BL on the pressure stability, so that the evaluation results are closer to the actual application scenarios, and the calculation results of LQ and YP can also affect the calculation of WQ, so that the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can perform automatic feedback and optimization according to the actual situation to be closer to reality.

[0078] See also Figures 1 to 4 , the calculation formula of the image texture intensity evaluation unit is as follows:

[0079]

[0080] np=(T+1) / 2;

[0081] in:

[0082] WQ is the texture strength index;

[0083] T is the total pixel index of the image;

[0084] n is the pixel index;

[0085] TSH n is the grayscale index of the nth pixel;

[0086] np is the average pixel index;

[0087] The evaluation process of the image texture intensity evaluation unit is as follows:

[0088] Through the test execution module, within the execution detection range of the total pixel index T of the image, input the pixel index index n, the pixel grayscale index TSH n and pixel index average index np, outputting the texture intensity index WQ for evaluating the microstructural characteristics of the pipeline surface;

[0089] The nth pixel grayscale index TSH n The grayscale index involved is usually obtained by converting the values ​​of the three color channels of red (R), green (G), and blue (B) of each pixel of the color image according to a certain weight ratio.

[0090] In this embodiment: First, in this algorithm unit, T is the total pixel index of the image, indicating the area size of the evaluation area, np is the average pixel index, which is used to calculate the weighted average distribution of the grayscale value, TSH n is the nth pixel grayscale index, reflecting the brightness or color depth of the material surface. By calculating the variance and mean of the grayscale value, the complexity and uniformity of the material surface texture are evaluated. The more complex the texture, such as porous and uneven, the larger the texture intensity index WQ may be. Among them, the pixel index index n and the nth pixel grayscale index TSH n And the pixel index average index np, the input belongs to grayscale image data, grayscale image is a simplified form of color image, it removes color information and only retains brightness information, which allows the image processing algorithm to focus more on the shape and texture features of the image rather than the color, and because the amount of data of grayscale image is much smaller than that of color image, specifically, grayscale image has only one color channel, while color image has three color channels, so when processing grayscale image, the amount of calculation and storage requirements will be greatly reduced, thereby improving processing efficiency;

[0091] This algorithm unit is mainly used to evaluate the microstructural features of the material surface in the tensile and compressive performance testing of pipeline cold insulation materials. These features are often closely related to the mechanical properties of the material, including tensile strength and compressive strength. The image of the material surface is acquired through the high-resolution imaging technology of the image sensor, including scanning electron microscope SEM and optical microscope, and the image processing algorithm of the image processing software, including grayscale co-occurrence matrix, wavelet transform, etc., is used to extract texture features and then calculate the texture intensity index WQ. The high or low value of the texture intensity index WQ indirectly reflects the density, uniformity and defects inside the material, thereby providing an important reference for evaluating the tensile and compressive performance of the material.

[0092] By quantifying the texture characteristics of the material, the texture strength index WQ can more accurately reflect the quality status of the material, reduce the subjectivity of human judgment, and improve detection accuracy; quickly identify samples that may have quality problems among a large number of samples, thereby improving detection efficiency; and provide basic data for subsequent tensile strength prediction and pressure stability evaluation, thereby enhancing the comprehensiveness and scientific nature of the evaluation system.

[0093] See also Figures 1 to 4 , the calculation formula for predicting the tensile strength unit under cold insulation performance is as follows:

[0094] LQ = JQ*(1+A*WY+LY);

[0095] WY=A*((WQ-WQ min ) / (WQ max -WQ min ));

[0096] LY=B*((BL-BL min ) / (BL max -BL min ));

[0097] in:

[0098] LQ is the tensile strength index;

[0099] JQ is the standard tensile strength index;

[0100] WQ is the texture strength index, WQ min is the minimum texture intensity index, WQ max The maximum index of texture strength; BL is the cold insulation performance index, BL min is the minimum index of cold preservation performance, BL max It is the maximum index of cold preservation performance;

[0101] WY is the texture strength influence index, which reflects the influence of the surface microstructure of the material on the mechanical properties;

[0102] LY is the cold-keeping performance impact index, and LY reflects the influence of cold-keeping performance on mechanical properties;

[0103] A and B are the weight coefficients of WQ and BL, respectively. α reflects the sensitivity of WQ change to LQ, and β reflects the sensitivity of BL change to LQ.

[0104] The prediction process of the tensile strength unit under the cold insulation performance is as follows:

[0105] Based on the texture strength index WQ output by the image texture strength evaluation unit and the reference standard of the standard tensile strength index JQ, and considering the influence of the cold insulation performance index BL and the texture strength index WQ on the mechanical properties of the material, the tensile strength of the predicted material, namely the tensile strength index LQ, is output.

[0106] In this embodiment, first, JQ is a standard tensile strength index, which is obtained through a standard tensile test and indicates the tensile strength of the material without the influence of additional factors. The tensile strength prediction unit under cold insulation performance is based on a series of experimental data and material science principles. The tensile strength of the pipeline cold insulation material is predicted through a mathematical model. The prediction of this unit involves multiple factors such as the chemical composition, physical state, and microstructure of the material, and the prediction is established through regression analysis, neural networks, machine learning and other methods. The tensile strength index LQ aims to predict the tensile strength of the material by obtaining material characteristic parameters through non-destructive testing methods such as ultrasonic testing and X-ray diffraction, thereby avoiding direct destructive tensile testing.

[0107] In actual prediction, the need for destructive testing of samples is reduced, reducing testing costs; the predicted value of the tensile strength of the material is quickly obtained, accelerating product development and quality control processes and improving prediction efficiency; and the material formula or production process is adjusted according to the results of the tensile strength index LQ to improve the tensile properties of the material and meet more stringent application requirements.

[0108] See also Figures 1 to 4 , the calculation formula of the pressure stability evaluation unit is as follows:

[0109]

[0110] in:

[0111] YP is the pressure stability assessment index;

[0112] CLQ is a reference tensile strength index, and CLQ is specifically the tensile strength index LQ predicted and output in the predicted tensile strength unit under the cold preservation performance described previously;

[0113] YM is the pressure sensitivity index;

[0114] BLP is the average index of cold preservation performance;

[0115] The evaluation process of the pressure stability evaluation unit is as follows:

[0116] Taking into account the influence of the change of tensile strength index LQ, pressure sensitivity index YM and cold insulation performance index BL on stability, the pressure stability evaluation index YP is output.

[0117] In this embodiment, this algorithm unit is to evaluate the ability of pipeline cold insulation materials to maintain their structural and performance stability when subjected to external pressure, which usually involves testing and analyzing the stress-strain relationship, elastic modulus, and yield strength mechanical properties of the material under different pressure conditions. The pressure stability evaluation index YP adopts finite element analysis and experimental mechanical testing methods, combined with the physical and chemical properties of the material, to establish an evaluation. The goal of the pressure stability evaluation index YP is to ensure that the material can resist the influence of external pressure during long-term use and maintain its cold insulation effect and structural integrity.

[0118] Through the evaluation of the pressure stability assessment index YP, the potential failure risk of materials under pressure can be discovered in time, the safe operation of the pipeline system can be ensured, and a basis can be provided for selecting suitable cold insulation materials for different application scenarios, ensuring that the materials can meet specific pressure stability requirements and achieve the purpose of optimizing material selection; by optimizing material design and production processes, the pressure stability of the material can be improved, thereby extending the service life of the pipeline system.

[0119] See also Figures 1 to 4 , the pressure stability evaluation index YP output by the pressure stability evaluation unit, the specific adjustment strategy of the tension and compression performance detection method is as follows:

[0120] S1. If the result value of the tensile strength index LQ is too high and the result value of the pressure stability evaluation index YP is too low, it is considered that the intensity of the pressure test is more inclined to increase, that is, the test pressure intensity of the universal testing machine;

[0121] S2. If the result value of the tensile strength index LQ changes significantly and the result value of the pressure stability evaluation index YP is low, it is considered that the duration of the pressure test is more inclined to increase, that is, the test pressure time of the universal testing machine;

[0122] S3. If the result values ​​of the tensile strength index LQ and the pressure stability evaluation index YP tend to be flat, it is considered that the pressure intensity and time of the tensile and compressive performance testing method are appropriate, the pressure of the pipeline is stable under pressure, and the current tensile and compressive performance testing method should be maintained;

[0123] The change of the tensile strength index LQ and the pressure stability evaluation index YP result value is evaluated as follows:

[0124] The change in the tensile strength index LQ result value mainly evaluates the difference between the tensile strength index LQ and the reference tensile strength index CLQ. If the tensile strength index LQ result value changes significantly, that is, it decreases significantly, the mechanical properties of the pipeline under pressure are obviously degraded, and the duration of the pressure test is increased to observe the long-term stability of the pipeline; if the tensile strength index LQ result value changes too high, that is, the tensile strength index LQ is higher than the reference tensile strength index CLQ, it is considered that the mechanical properties of the pipeline under pressure are insufficiently stressed, and the intensity of the pressure test is increased;

[0125] The change in the result value of the pressure stability assessment index YP requires checking whether the result value of the cold insulation performance index BL is at a low level, and combining the cold insulation performance index BL in the pressure stability assessment unit to analyze its impact on the pressure stability assessment index YP. If the result value of the cold insulation performance index BL is low and has a significant negative impact on the pressure stability assessment index YP, it means that the cold insulation performance of the pipeline is insufficient, thereby increasing the intensity of the pressure test.

[0126] In this embodiment, the algorithm unit formulates a specific adjustment strategy based on the overall performance of the tensile strength index LQ change, the cold insulation performance index BL and the pressure stability evaluation index YP. According to the above S1, if the result value of the tensile strength index LQ is high and the result value of the pressure stability evaluation index YP is low, it is necessary to further check whether the cold insulation performance index BL is at a low level. If the cold insulation performance index BL structure is low and has a significant negative impact on the pressure stability evaluation index YP, it means that the cold insulation performance of the material is insufficient, resulting in a decrease in stability under pressure. At this time, increasing the intensity of the pressure test will help evaluate the material under extreme conditions. Performance; According to the above S2, if the result value of the tensile strength index LQ changes significantly, and the result value of the pressure stability assessment index YP is low, first analyze the difference between the tensile strength index LQ and the reference tensile strength index CLQ. If the result value of the tensile strength index LQ is significantly lower than the result value of the reference tensile strength index CLQ, it indicates that the mechanical properties of the material under pressure are significantly degraded, and it is necessary to increase the duration of the pressure test to observe the long-term stability of the material; According to the above S3, if the result values ​​of the tensile strength index LQ and the pressure stability assessment index YP tend to be flat, it is considered that the current tension and compression performance testing method is applicable and effective.

[0127] In summary, in the specific implementation process, the pressure stability evaluation index YP obtained by the pressure stability evaluation unit can be fed back to the input parameters of the image texture strength evaluation unit and the tensile strength prediction unit under cold insulation performance, especially the tensile strength index LQ and the reference tensile strength index CLQ. If the result value of the pressure stability evaluation index YP is low, it is necessary to re-evaluate the tensile strength index LQ and texture strength index WQ of the material, and then adjust the experimental conditions or material formula; the image texture strength evaluation unit, the tensile strength prediction unit under cold insulation performance and the pressure stability evaluation unit together constitute a comprehensive evaluation system for comprehensively evaluating the mechanical properties, surface characteristics and cold insulation performance of the material. This comprehensive evaluation helps to more accurately predict the performance of the material in practical applications; in the process of cyclic testing and evaluation, according to the change trend and specific reasons of the pressure stability evaluation index YP, the experimental conditions or material design are adjusted in a targeted manner to achieve continuous improvement. .

[0128] For example 2, please refer to Figures 1 to 4 BL is a parameter that quantifies the cold-keeping ability of a material. It is usually not a single value obtained directly through measurement, but is output based on a series of thermal tests and performance evaluation calculations. The evaluation calculations include thermal conductivity tests, temperature decay tests, numerical simulations, and experimental verifications.

[0129] The average cold insulation performance index BLP is the arithmetic mean of the cold insulation performance indexes BL of all tested pipes, and is used to indicate the average level of the overall cold insulation performance;

[0130]

[0131] m is the total number of test pipelines, BL i is the BL value of the i-th test pipeline;

[0132] The maximum cold-keeping performance index BL max and the minimum cold insulation performance index BL min They respectively represent the highest and lowest levels of the cold insulation performance index BL in all the tested pipes.

[0133] In this embodiment, for the evaluation and calculation of the cold insulation performance index BL, the thermal conductivity test is to measure the heat flow of the material under a specific temperature gradient, thereby calculating the thermal conductivity of the material. The lower the thermal conductivity, the better the cold insulation performance of the material is generally. The cold insulation performance index BL can be defined based on the ratio of thermal conductivity to a certain benchmark or standard thermal conductivity; the temperature decay test is to place the material in a constant high temperature environment, and then observe the speed at which its temperature decreases within a certain period of time. The slower the temperature decreases, the better the cold insulation performance of the material. The cold insulation performance index BL can be calculated by the speed of temperature decrease or the ratio of the final temperature to the initial temperature; numerical simulation and experimental verification are to predict the thermal conductivity behavior of the material by numerical simulation methods, and to verify the accuracy of the model by experiments. The cold insulation performance index BL is a comprehensive performance indicator obtained by comprehensive evaluation of numerical simulation results and experimental data;

[0134] It is worth noting that although the image texture intensity evaluation unit itself does not directly contain the cold-keeping performance index, it is verified through experiments that there is a certain correlation between the texture intensity index WQ and the cold-keeping performance index BL. For example, materials with good cold-keeping performance may have more uniform or specific texture features.

[0135] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for testing the tensile and compressive properties of pipeline cold insulation materials, characterized in that: The tensile and compressive performance testing methods are as follows: Preparation for testing: Take samples from the pipeline insulation material according to standard methods. When sampling for testing, avoid defective areas and evenly distribute the samples in the insulation layer. Data test execution, through the test execution module, performs texture strength detection on the pipeline surface, as well as tensile and compression tests on the structure; Data analysis and processing, based on the test execution module, outputs the pipeline cold insulation material tensile and compressive performance test analysis report through the data analysis and evaluation module. The data analysis and evaluation module includes an image texture strength evaluation unit, a tensile strength prediction unit under cold insulation performance, and a pressure stability evaluation unit; Data upload: upload the data collected by the test execution module to the data acquisition terminal.

2. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 1, characterized in that: The equipment used by the test execution module includes a universal testing machine and an image sensor, the universal testing machine is used to perform tensile and compression tests, and the image sensor is used to perform surface texture image detection; The equipment used in the data analysis and evaluation module includes image processing software for analyzing the image of the sample surface and the texture characteristics of the surface.

3. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 2, characterized in that: The calculation formula of the image texture intensity evaluation unit is as follows: np=(T+1) / 2; in: WQ is the texture strength index; T is the total pixel index of the image; n is the pixel index; TSH n is the grayscale index of the nth pixel; np is the average pixel index; The evaluation process of the image texture intensity evaluation unit is as follows: Through the test execution module, within the execution detection range of the total pixel index T of the image, input the pixel index index n, the pixel grayscale index TSH n and the pixel index average index np, and output the texture intensity index WQ for evaluating the microstructural characteristics of the pipeline surface.

4. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 3, characterized in that: The calculation formula for predicting the tensile strength unit under the cold insulation performance is as follows: LQ = JQ*(1+A*WY+LY); WY=A*((WQ-WQ min ) / (WQ max -WQ min )); LY=B*((BL-BL min ) / (BL max -BL min )); in: LQ is the tensile strength index; JQ is the standard tensile strength index; WQ is the texture strength index, WQ min is the minimum texture intensity index, WQ max Texture intensity maximum index; BL is the cold insulation performance index, BL min is the minimum index of cold preservation performance, BL max It is the maximum index of cold preservation performance; WY is the texture strength influence index, which reflects the influence of the surface microstructure of the material on the mechanical properties; LY is the cold-keeping performance impact index, which reflects the influence of cold-keeping performance on mechanical properties; A and B are the weight coefficients of WQ and BL, respectively. α reflects the sensitivity of WQ change to LQ, and β reflects the sensitivity of BL change to LQ. The prediction process of the tensile strength unit under the cold insulation performance is as follows: Based on the texture strength index WQ output by the image texture strength evaluation unit and the reference standard of the standard tensile strength index JQ, and considering the influence of the cold insulation performance index BL and the texture strength index WQ on the mechanical properties of the material, the tensile strength of the predicted material, namely the tensile strength index LQ, is output.

5. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 4, characterized in that: The calculation formula of the pressure stability evaluation unit is as follows: in: YP is the pressure stability assessment index; CLQ is a reference tensile strength index, and CLQ is specifically the tensile strength index LQ predicted and output in the predicted tensile strength unit under the cold preservation performance described previously; YM is the pressure sensitivity index; BLP is the average index of cold preservation performance; The evaluation process of the pressure stability evaluation unit is as follows: Taking into account the influence of the change of tensile strength index LQ, pressure sensitivity index YM and cold insulation performance index BL on stability, the pressure stability evaluation index YP is output.

6. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 5, characterized in that: Based on the pressure stability evaluation index YP output by the pressure stability evaluation unit, the specific adjustment strategy of the tension and compression performance detection method is as follows: S1. If the result value of the tensile strength index LQ is too high and the result value of the pressure stability evaluation index YP is too low, it is considered that the intensity of the pressure test is more inclined to increase, that is, the test pressure intensity of the universal testing machine; S2. If the result value of the tensile strength index LQ changes significantly and the result value of the pressure stability evaluation index YP is low, it is considered that the duration of the pressure test is more inclined to increase, that is, the test pressure time of the universal testing machine; S3. If the result values ​​of the tensile strength index LQ and the pressure stability evaluation index YP tend to be flat, it is considered that the pressure intensity and time of the tension and compression performance testing method are appropriate, the pressure of the pipeline is stable under pressure, and the current tension and compression performance testing method should be maintained.

7. A method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 6, characterized in that: The change of the tensile strength index LQ and the pressure stability evaluation index YP result value is evaluated as follows: The change in the tensile strength index LQ result value mainly evaluates the difference between the tensile strength index LQ and the reference tensile strength index CLQ. If the tensile strength index LQ result value changes significantly, that is, it decreases significantly, the mechanical properties of the pipeline under pressure are obviously degraded, and the duration of the pressure test is increased to observe the long-term stability of the pipeline; if the tensile strength index LQ result value changes too high, that is, the tensile strength index LQ is higher than the reference tensile strength index CLQ, it is considered that the mechanical properties of the pipeline under pressure are insufficiently stressed, and the intensity of the pressure test is increased; The change in the result value of the pressure stability assessment index YP requires checking whether the result value of the cold insulation performance index BL is at a low level, and combining the cold insulation performance index BL in the pressure stability assessment unit to analyze its impact on the pressure stability assessment index YP. If the result value of the cold insulation performance index BL is low and has a significant negative impact on the pressure stability assessment index YP, it means that the cold insulation performance of the pipeline is insufficient, thereby increasing the intensity of the pressure test.

8. The method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 3, characterized in that: The nth pixel grayscale index TSH n The grayscale index involved is usually obtained by converting the values ​​of the three color channels of red (R), green (G), and blue (B) of each pixel of the color image according to a certain weight ratio.

9. The method for testing the tensile and compressive properties of pipeline cold insulation materials according to claim 5, characterized in that: The cold insulation performance index BL is a parameter that quantifies the cold insulation ability of a material. It is usually not a single value obtained directly through measurement, but is output based on a series of thermal tests and performance evaluation calculations. The evaluation calculations include thermal conductivity tests, temperature decay tests, and numerical simulations and experimental verifications. The cold insulation performance average index BLP is the arithmetic mean of the cold insulation performance indexes BL of all tested pipes, and is used to indicate the average level of the overall cold insulation performance; m is the total number of test pipelines, BL i is the BL value of the i-th test pipeline; The maximum cold-keeping performance index BL max and the minimum cold insulation performance index BL min They respectively represent the highest and lowest levels of the cold insulation performance index BL in all the tested pipes.

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