Cable toughness detection device and detection method thereof

Abstract

The present invention discloses a cable toughness detection device and a detection method thereof, comprising a data acquisition module, an adaptive control module, a toughness analysis module and a simulated stress state module; the present invention monitors the mechanical performance data of the cable in a test process in real time through an intelligent sensor, thereby improving the accuracy and real-time performance of cable sample data acquisition; the adaptive control module adjusts the test parameters in real time according to the intelligent sensor data, more accurately simulates the stress conditions of the cable in actual use, and can improve the accuracy and reliability of cable testing; through the simulated stress state module, the internal stress state of the cable can be simulated to assist in detecting the toughness performance of the cable; through numerical simulation methods such as finite element analysis, the simulation calculation of the cable stress condition is realized, the cable stress condition can be simulated more accurately, and the efficiency of cable toughness detection can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of cable detection, and in particular to a cable toughness detection device and a detection method thereof. Background Art

[0002] In the power industry and the communications industry, cables are important carriers for transmitting power or signals. Their toughness and reliability are crucial to the stability and safety of the system. The traditional cable toughness detection method mainly uses tensile testing machines and other equipment to perform tensile tests on cable samples, and evaluates the tensile performance of the cable by observing the deformation and fracture of the samples and recording the test data. However, the traditional cable toughness detection method has some limitations. Since the cable material is composed of a variety of different materials, each material has different physical properties and structural characteristics, which makes the stress inside the cable material uneven. The test process also fails to take into account factors that affect toughness, such as temperature, humidity, loading rate and other parameters, resulting in limited detection accuracy of cable toughness and inability to accurately evaluate the tensile performance of the cable. Therefore, in order to improve the detection efficiency and accuracy of cable toughness, a cable toughness detection device and method are developed. Summary of the invention

[0003] The purpose of the present invention is to provide a cable toughness detection device and a detection method thereof, which detects the toughness of the cable by monitoring the material distribution of the cable, adaptively adjusting internal parameters, and then simulating the internal stress state of the cable for detection.

[0004] The purpose of the present invention can be achieved by the following technical solutions:

[0005] The present application provides a cable toughness detection device, including a data acquisition module, an adaptive control module, a toughness analysis module and a stress state simulation module.

[0006] The data acquisition module monitors the cable mechanical performance data in real time through intelligent sensors and transmits the data to the adaptive control module;

[0007] The adaptive control module controls the tensile load applied during the tensile test and adaptively adjusts the test parameters according to the data of the intelligent sensor;

[0008] Among them, during the tensile test, infrared radiation is also conducted on the cable surface using infrared thermal imaging technology;

[0009] The toughness analysis module calculates the tensile strength and elongation of the cable through the mechanical performance data of the cable to evaluate the toughness of the cable;

[0010] The stress state simulation module uses simulation technology to simulate the internal stress state of the cable.

[0011] Furthermore, the data acquisition module includes a data acquisition unit, which is connected to the cable sample through an intelligent sensor, receives the mechanical property data signal of the intelligent sensor, converts the data into a digital signal and stores it.

[0012] Furthermore, the adaptive control module includes a real-time data analysis unit and a control instruction generation unit.

[0013] The real-time data analysis unit is used to analyze the real-time mechanical performance data collected by the intelligent sensor. When the mechanical performance data analysis result of the cable sample is within the tolerance range, the adjustment instruction is transmitted to the tensile testing machine and the adjustment parameters are generated.

[0014] The control instruction generating unit generates control instructions according to the analysis result of the real-time data analyzing unit, and performs adaptive adjustment on the operating parameters of the tensile testing machine.

[0015] Furthermore, the adaptive control module adaptively adjusts the tensile load applied by the tensile testing machine, and the specific steps include:

[0016] S21. Analyze the collected mechanical properties data, including the change in tension, displacement, strain rate, maximum strain and peak strain data;

[0017] S22, calculating the test parameters of stretching rate, temperature and humidity according to the analysis results, and generating control instructions according to the parameter calculation results;

[0018] S23, the tensile testing machine receives the generated control instruction and adjusts the operating parameters of the tensile testing machine for adaptive adjustment.

[0019] Furthermore, by acquiring the tension, displacement and time data during the test, as well as the length data of strain calculation, a strain curve is constructed, and the strain value is calculated according to the displacement data and the length data, and the strain value ε = displacement / length;

[0020] The calculated strain value is plotted as a strain-time curve or a strain-displacement curve with time or displacement as the horizontal coordinate and the strain value as the vertical coordinate; the characteristics of the strain curve are analyzed, including the ups and downs of the curve, the change in slope, and the shape of the curve; the strain peak point is marked in the strain curve, that is, the maximum value point in the strain curve, which indicates the maximum deformation of the cable during the stress process.

[0021] Furthermore, the strain curve analyzes the characteristics of the curve, including the elastic stage, the yield stage and the fracture stage, wherein the elastic stage is a linear relationship, the cable will have elastic recovery after being subjected to force in the elastic stage, and the strain is proportional to the stress; the yield stage is the stage where the cable material begins to undergo plastic deformation, which is manifested as a stage where the strain gradually increases while the stress remains basically stable; the fracture stage is the stage where the cable material reaches the rupture point, which is manifested as a sharp increase in strain and a sharp drop in stress, resulting in cable rupture.

[0022] Furthermore, during the tensile test, infrared thermal imaging technology is used to radiate the cable surface and analyze the heat distribution to evaluate the material state and toughness inside the cable. The specific steps include:

[0023] S31. Use an infrared thermal imager to scan the cable and record the thermal image;

[0024] S32. Analyze the temperature distribution in the thermal image and look for abnormal hot spots or temperature gradients, indicating that there are material defects or damage inside the cable;

[0025] S33. Evaluate the toughness of the cable by combining basic test data and infrared thermal imaging results.

[0026] Furthermore, find out the color changes in different areas based on the thermal image, find the areas in the thermal image that are warmer in color and obviously different from the surrounding areas, and then use the temperature measurement tool of the thermal imager to measure the temperature of the suspected abnormal hotspots to confirm whether there is abnormal temperature. Then observe the temperature difference between adjacent areas in the thermal image, find areas with large temperature gradients, and observe areas with rapid temperature changes. When abnormal hotspots or areas with large temperature gradients are found, record the location and temperature information in a timely manner and mark them on the thermal image.

[0027] Furthermore, a tensile load is applied by a tensile testing machine, the mechanical performance data of the cable during the stretching process is collected, and the tensile strength is calculated. The tensile strength refers to the maximum tensile force that the cable can withstand during the stretching process. The calculation formula of the tensile strength σ is: σ = maximum tensile force / cross-sectional area;

[0028] Then calculate the elongation, which indicates the extension degree of the cable during the stretching process. The calculation formula of the elongation is: elongation = (maximum elongation length - original length) / original length * 100%.

[0029] Furthermore, a simulation experiment is conducted to verify the stress condition of the cable. The specific steps include:

[0030] S51, establishing a numerical model of cable stress based on the obtained tension, displacement and strain data;

[0031] S52. Use the numerical simulation method of finite element analysis to simulate the stress distribution and deformation of the cable during the stress process;

[0032] S53. Compare, analyze and verify the simulation results with the measured data.

[0033] A cable toughness detection method comprises the following steps:

[0034] S1. Obtain cable samples, record the temperature and humidity of the samples under the test environment, as well as the magnitude of the tensile force applied to the cable samples during the tensile test, the displacement, and the strain data generated during the stress process;

[0035] S2. Based on the test data of the cable, a strain curve is constructed to reflect the strain and deformation characteristics of the cable in the tensile test. The toughness of the cable is tested by adaptively adjusting the test parameters.

[0036] S3. During the tensile test, infrared thermal imaging technology is used to radiate the cable surface, analyze the heat distribution and evaluate the material state and toughness inside the cable;

[0037] S4. Analyze the obtained tension, displacement and strain data, calculate the tensile strength, elongation and strain value of the cable, and conduct a comprehensive analysis based on the tension data;

[0038] S5. By introducing numerical simulation methods, a numerical model is constructed based on measured data to simulate the stress distribution and deformation of the cable during the stress process.

[0039] The beneficial effects of the present invention are:

[0040] The intelligent sensor monitors the mechanical performance data of the cable in the test process in real time, including key parameters such as tension change, displacement, strain rate, maximum strain and strain peak, which improves the accuracy and real-time performance of cable sample data collection. The adaptive control module adjusts the test parameters such as stretching rate, temperature and humidity in real time according to the intelligent sensor data to more accurately simulate the stress conditions of the cable in actual use. Through real-time monitoring and adaptive control adjustment by intelligent sensors, the stress state of the cable material can be more accurately simulated, the stress inhomogeneity caused by different materials and structures can be overcome, and the accuracy and reliability of the test can be improved.

[0041] The infrared thermal imaging technology is used to radiate the cable surface to evaluate the internal material state and toughness of the cable. The influence of factors such as temperature on the cable performance is taken into account, which improves the comprehensiveness and accuracy of the detection. The stress state simulation module can simulate the internal stress state of the cable to assist in detecting the toughness performance of the cable. This simulation technology can provide intuitive internal stress state feedback, which can more accurately evaluate the tensile strength, elongation and strain value of the cable, and improve the accuracy and reliability of the detection.

[0042] By establishing a numerical model, including preparing tension, displacement and strain data, establishing a three-dimensional geometric model, setting material parameters, loading conditions and boundary conditions, and performing numerical simulation methods such as finite element analysis, the stress condition of the cable can be simulated and calculated, and the toughness performance of the cable can be further evaluated. The stress condition of the cable can be simulated more accurately, and the accuracy and reliability of the detection can be improved. This not only improves the efficiency of cable toughness detection, but also solves the limitations of traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] For better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.

[0044] Figure 1 A schematic diagram of the structure of a cable toughness detection device provided in Example 1 of the present application;

[0045] Figure 2 A flowchart of the steps of adaptively adjusting the tensile load applied to a tensile testing machine provided in Example 1 of the present application;

[0046] Figure 3 A flowchart of the steps of infrared irradiating the cable surface by infrared thermal imaging technology provided in Example 1 of the present application;

[0047] Figure 4 A flowchart of the steps for conducting a simulation experiment to verify the stress condition of the cable provided in Example 1 of the present application;

[0048] Figure 5 A flowchart of the steps of a cable toughness detection method provided in Example 1 of the present application. DETAILED DESCRIPTION

[0049] In order to further explain the technical means and effects taken by the present invention to achieve the predetermined invention purpose, exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are only examples of methods and systems consistent with some aspects of the present application as detailed in the attached claims.

[0050] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0051] The specific implementation methods, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0052] Example 1

[0053] See also Figure 1-Figure 5 This embodiment provides a cable toughness detection device and a detection method thereof, which detects the toughness of the cable by monitoring the material distribution of the cable, adaptively adjusting the internal parameters, and then simulating the internal stress state of the cable for detection.

[0054] The present invention provides a cable toughness detection device, comprising a data acquisition module, an adaptive control module, a toughness analysis module and a stress state simulation module.

[0055] The data acquisition module uses intelligent sensors to monitor the mechanical performance data of the cable in real time during the test and transmits the data to the adaptive control module. The mechanical performance data is the dynamic change data of the cable sample during the test related to the evaluation of toughness, including the change in tension, displacement, strain rate, maximum strain and strain peak value.

[0056] The change in tension is the dynamic change of the force applied to the cable sample during the tensile test; the displacement is the dynamic change of the displacement or displacement amount generated during the tensile process; the strain rate is the strain change rate generated by the cable per unit time, which is used to analyze the strain rate of the cable; the maximum strain is the maximum strain value reached by the cable in the tensile test, reflecting the ultimate deformation capacity of the cable material; the strain peak is the strain peak that occurs in the cable during the force process, which is used to evaluate the strain resistance of the cable.

[0057] Furthermore, the data acquisition module includes a data acquisition unit, which is connected to the cable sample through an intelligent sensor, receives the mechanical property data signal of the intelligent sensor, converts the data into a digital signal and stores it.

[0058] The specific contents of converting data into digital signals include:

[0059] The analog signal of mechanical property data is collected within a certain time interval to obtain a series of discrete analog values. The continuous values ​​of the analog signal are converted into discrete digital values. The sampling theorem requires that the sampling frequency is at least twice the highest frequency of the signal. The amplitude of the analog signal is mapped to a series of digital values. Uniform quantization is used to divide the amplitude range of the analog signal into 2^N intervals, where N is the number of quantization bits. The quantized digital signal is then digitally stored;

[0060] Specifically, the analog signal X_analog is divided by the quantization interval Δ, then rounded to the nearest integer, and finally multiplied by the quantization interval Δ to obtain the quantized digital signal X_q.

[0061] The analog signals of the mechanical properties data of the cable during the test are collected by intelligent sensors, and then the analog signals can be converted into digital signals for analysis, evaluation and comparison of toughness performance.

[0062] The adaptive control module controls the tensile load applied during the tensile test and adaptively adjusts the test parameters, such as the stretching rate, temperature and humidity, according to the data of the smart sensor;

[0063] The adaptive control module includes a real-time data analysis unit and a control instruction generation unit.

[0064] The real-time data analysis unit is used to analyze the real-time mechanical performance data collected by the intelligent sensor, including the calculation and evaluation of parameters such as the tension change, displacement, strain rate, maximum strain and strain peak, and generate corresponding adjustment parameters according to the data analysis results. The analysis result is that when the mechanical performance data of the cable sample is within an acceptable range, the adjustable instructions will be transmitted to the tensile testing machine, and the test will be carried out again by resetting the test parameters.

[0065] The control instruction generation unit is responsible for generating corresponding control instructions according to the analysis results provided by the real-time data analysis unit to achieve adaptive adjustment of the operating parameters of the tensile testing machine, such as adjusting the tensile load, tensile rate, and test parameters such as temperature and humidity.

[0066] Furthermore, the tensile load applied by the tensile testing machine is adaptively adjusted, and the specific steps include:

[0067] S21. Analyze the collected mechanical properties data, including the change in tension, displacement, strain rate, maximum strain and strain peak value;

[0068] Specifically, the strain curve is constructed to represent the strain and deformation characteristics of the cable mechanical performance data in the tensile test, including obtaining the tension, displacement and time data during the test, as well as the length data required for strain calculation, and calculating the corresponding strain value based on the displacement data and length data, where the strain value ε = displacement / length;

[0069] The calculated strain value is plotted as a strain-time curve or a strain-displacement curve with time or displacement as the horizontal coordinate and the strain value as the vertical coordinate; the characteristics of the strain curve are analyzed, including the ups and downs of the curve, the change in slope, the shape of the curve, etc.; the strain peak point is marked in the strain curve, that is, the maximum value point in the strain curve, which indicates the maximum deformation of the cable during the stress process.

[0070] The fluctuations, slope changes and other characteristics in the strain curve can reflect the deformation characteristics of the cable, such as ductility and deformation rate. According to the strain curve analysis results, the deformation characteristics and strain limit of the cable during the stress process can be found.

[0071] S22, calculating the test parameters that need to be adjusted, such as stretching rate, temperature and humidity, etc., according to the analysis results; generating corresponding control instructions according to the parameter calculation results to adjust the operating parameters of the tensile testing machine;

[0072] S23, transmitting the generated control command to the tensile testing machine to achieve adaptive adjustment of test parameters such as tensile load, tensile rate, temperature and humidity.

[0073] By constructing a strain curve, the tensile strength of the cable can be intuitively understood, which is used to evaluate the mechanical properties and durability of the cable under stress. By adaptively adjusting the test parameters, the mechanical stress to which the cable is subjected in actual use can be more accurately simulated, thereby more comprehensively evaluating the toughness of the cable.

[0074] Furthermore, the strain curve is real-time monitoring data of the mechanical properties of the cable, and the characteristics of the curve are analyzed, including the elastic stage, the yield stage and the fracture stage, wherein the elastic stage is in the strain curve, and the elastic stage is shown as a linear relationship. The cable will recover elastically after being subjected to force in this stage, and the strain is proportional to the stress; the yield stage is the stage where the cable material begins to undergo plastic deformation, which is manifested as a stage where the strain gradually increases while the stress remains basically stable; the fracture stage is the stage where the cable material reaches the breaking point, which is manifested as a sharp increase in strain and a sharp drop in stress, eventually leading to cable rupture.

[0075] Furthermore, during the tensile test, infrared thermal imaging technology is used to radiate the cable surface and analyze the heat distribution to evaluate the material state and toughness inside the cable. The specific steps include:

[0076] S31. Use an infrared thermal imager to scan the cable and record the thermal image;

[0077] S32. Analyze the temperature distribution in the thermal image and look for abnormal hot spots or temperature gradients, indicating that there are material defects or damage inside the cable;

[0078] Specifically, find out the color changes in different areas based on the thermal image, and look for areas in the thermal image that are warmer in color and obviously different from the surrounding areas. These areas may indicate abnormal hotspots. Then use the temperature measurement tool of the thermal imager to measure the temperature of the suspected abnormal hotspots to confirm whether there is abnormal temperature. Then observe the temperature difference between adjacent areas in the thermal image, look for areas with large temperature gradients, and observe areas with rapid temperature changes. These areas may have material defects or uneven heat. When abnormal hotspots or areas with large temperature gradients are found, record the location and temperature information in a timely manner and mark them on the thermal image.

[0079] S33. Combine basic test data and infrared thermal imaging results to comprehensively evaluate the toughness of the cable.

[0080] Specifically, infrared thermal imaging technology can be used to scan and analyze the temperature distribution of cables, which can help detect the thermal distribution of cable surface and internal materials, discover abnormal hot spots or temperature gradients, and point out the existence of material defects or damage inside the cable. Combined with the mechanical performance test data, it can be analyzed whether there are abnormal areas related to mechanical properties. Infrared thermal imaging technology and mechanical performance test data can verify each other to improve the accuracy and precision of the test. Infrared thermal imaging technology can provide intuitive thermal distribution information, while mechanical performance test data provides more specific mechanical performance parameters. The combined application can improve the accuracy of the assessment of cable toughness and status.

[0081] The toughness analysis module collects, records and stores data during the cable toughness test, including parameters such as tension and displacement, and is used to evaluate the toughness performance by calculating indicators such as the tensile strength and elongation of the cable;

[0082] Furthermore, a tensile load is applied by a tensile testing machine, the mechanical performance data of the cable during the stretching process is collected, and the tensile strength is calculated. The tensile strength refers to the maximum tensile force that the cable can withstand during the stretching process. The calculation formula of the tensile strength σ is: σ = maximum tensile force / cross-sectional area;

[0083] Then calculate the elongation, which indicates the extension degree of the cable during the stretching process. The elongation calculation formula is: elongation = (maximum elongation length - original length) / original length * 100%;

[0084] Among them, according to the calculated tensile strength value, the load-bearing capacity of the cable under tension can be evaluated. The higher the tensile strength, the better the tensile resistance of the cable during the stretching process, indicating that the material strength of the cable is relatively high; the elongation indicates the degree of deformation of the cable during the stretching process, which is used to evaluate the ductility of the cable. A larger elongation indicates that the cable has better ductility and can deform within a certain range without breaking, indicating that the cable has better toughness; the specific standard for evaluating the toughness of the cable is that the tensile strength is in the range of 50-200MPa and the elongation standard is between 100%-400%, indicating the degree of extension of the cable during the stretching process.

[0085] The stress state simulation module uses simulation technology to simulate the internal stress state of the cable, assists in detecting the toughness performance of the cable, provides intuitive internal stress state feedback, and helps understand the performance of the cable under stress.

[0086] Furthermore, a simulation experiment is conducted to verify the stress condition of the cable. The specific steps include:

[0087] S51, establishing a numerical model of cable stress based on the obtained tension, displacement and strain data;

[0088] S52. Use numerical simulation methods such as finite element analysis to simulate the stress distribution and deformation of the cable during the stress process;

[0089] S53. Compare and analyze the simulation results with the measured data to verify the accuracy and reliability of the simulation method.

[0090] By establishing a numerical model that accurately describes the stress conditions of the cable, it is used to simulate and analyze the stress distribution and deformation of the cable during the actual stress process.

[0091] Specifically, the numerical model is established, including preparing the acquired tension, displacement and strain data to describe the state change of the cable during the stress process, establishing a three-dimensional geometric model of the cable according to the geometric shape and size of the cable, including determining the cross-sectional shape, length, diameter and other geometric parameters of the cable, and converting them into a computer model, meshing the geometric model of the cable, dividing the cable into small units or nodes for numerical calculation, setting the elastic modulus, Poisson's ratio, yield strength and other parameters of the material according to the mechanical properties of the material used in the cable, so as to simulate the stress-strain behavior of the material; then setting the loading conditions and boundary conditions of the model according to the tension, displacement and strain data in the actual test, such as applying tension, constraining displacement, etc., to simulate the actual stress conditions; using the finite element analysis numerical method, the stress condition of the cable is simulated and calculated to obtain the stress distribution, deformation and other data of the cable during the stress process, and evaluating the accuracy and simulation effect of the numerical model by comparing the degree of agreement between the simulation results and the measured data.

[0092] For example, suppose that the tensile force data of the cable in the tensile test are as follows: [100, 200, 300, 400, 500] (unit: N); the displacement data of the cable in the tensile test are as follows: [0, 2, 4, 6, 8] (unit: cm); the strain data calculated based on the displacement data and the cable length data are as follows: [0, 0.1, 0.2, 0.3, 0.4] (dimensionless); the length of the cable sample for establishing the geometric model is 10 cm, the diameter is 0.5 cm, and the cross-section is circular; the material parameters are set as elastic modulus (E = 2\times 10^9) Pa, Poisson's ratio (v = 0.3), and yield strength (σ_y = 300) MPa; and the cable sample is divided into 5 finite element units; loading and boundary condition settings are added: the applied tension is gradually increased from 100N to 500N, and the displacement is constrained by fixing one end of the cable to simulate the constraint conditions of the tensile test; the finite element analysis method is used to calculate the stress distribution and deformation of the cable during the force process.

[0093] A cable toughness detection method comprises the following steps:

[0094] S1. Obtain cable samples, record the temperature and humidity of the samples under the test environment, as well as the magnitude of the tensile force applied to the cable samples during the tensile test, the displacement, and the strain data generated during the stress process;

[0095] S2. Based on the obtained test data of the cable, a strain curve is constructed to reflect the strain and deformation characteristics of the cable in the tensile test, and the toughness of the cable is tested by adaptively adjusting the test parameters, such as the stretching rate, temperature and humidity;

[0096] S3. During the tensile test, infrared thermal imaging technology is used to radiate the cable surface and analyze the heat distribution to evaluate the material state and toughness inside the cable.

[0097] S4. Analyze the obtained tension, displacement and strain data, calculate the tensile strength, elongation and strain value of the cable, conduct a comprehensive analysis based on the tension data, and evaluate the toughness performance of the cable;

[0098] S5. By introducing numerical simulation methods, a numerical model is constructed based on measured data to simulate the stress distribution and deformation of the cable during the stress process.

[0099] The material distribution and stress state of the cable are monitored by high-precision intelligent sensors, and key data is obtained in real time. Based on the sensor data, the control algorithm is used to adaptively adjust internal parameters such as loading rate and temperature to optimize the cable toughness detection process. At the same time, by simulating the internal stress state of the cable, combined with the sensor data and parameter adjustment feedback, the internal stress state of the cable is presented in real time. By integrating intelligent sensors, adaptive parameter adjustment and simulated stress state modules, synergy is achieved to ensure comprehensive and accurate detection of cable toughness, overcome the challenges brought by material inhomogeneity and stress state inhomogeneity, improve the accuracy and reliability of the test, and thus achieve accurate evaluation of the cable tensile performance.

[0100] Example 2

[0101] This embodiment is different from Embodiment 1 in that a multimodal data fusion analysis module is introduced to conduct a comprehensive analysis and evaluation of the cable toughness by combining mechanical property data, infrared thermal imaging data and numerical simulation results.

[0102] The specific contents include data fusion and integration, among which mechanical performance data include tension, displacement, strain and other mechanical performance data, which are used to evaluate the mechanical properties and toughness of the cable; infrared thermal imaging data reflects the temperature distribution on the surface and inside of the cable, which is used to evaluate the material status and potential defects of the cable; numerical simulation results simulate the stress distribution and deformation of the cable during the stress process, which is used to assist in analyzing the mechanical properties and toughness performance of the cable;

[0103] Integrate and align data from different sources, extract key features from various data, such as strength and elongation of mechanical properties data; temperature distribution of infrared thermal imaging data; stress distribution of numerical simulation results, etc.; fuse various data together to form a comprehensive data set for comprehensive analysis and evaluation; through comprehensive analysis of information from different data sources, evaluate the toughness performance of the cable from multiple angles, and combine the results of multimodal data fusion analysis to evaluate the mechanical properties, thermal characteristics and numerical simulation performance of the cable, and evaluate the toughness performance of the cable from multiple angles.

[0104] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A cable toughness detection device, characterized in that: It includes data acquisition module, adaptive control module, toughness analysis module and stress state simulation module. The data acquisition module monitors the cable mechanical performance data in real time through intelligent sensors and transmits the data to the adaptive control module; The adaptive control module controls the tensile load applied during the tensile test and adaptively adjusts the test parameters according to the data of the intelligent sensor; Among them, during the tensile test, infrared radiation is also conducted on the cable surface using infrared thermal imaging technology; The toughness analysis module calculates the tensile strength and elongation of the cable through the mechanical performance data of the cable to evaluate the toughness of the cable; The stress state simulation module simulates the internal stress state of the cable using simulation technology; The adaptive control module adaptively adjusts the tensile load applied by the tensile testing machine, specifically including: Analyze the collected mechanical properties data, including the change in tension, displacement, strain rate, maximum strain and peak strain data; According to the analysis results, the test parameters of stretching rate, temperature and humidity are calculated, and the control instructions are generated according to the parameter calculation results; The tensile testing machine receives the generated control instruction and adjusts the operating parameters of the tensile testing machine for adaptive adjustment; During the tensile test, infrared thermal imaging technology is used to radiate the cable surface and analyze the heat distribution to evaluate the material state and toughness inside the cable, including: Use an infrared thermal imager to scan the cable and record the thermal image; Analyze the temperature distribution in the thermal image to find abnormal hot spots or temperature gradients, which indicate material defects or damage inside the cable; Combine basic test data with infrared thermal imaging results to evaluate the toughness of the cable; The stress conditions of the cable are simulated and verified, including: Based on the acquired tension, displacement and strain data, a numerical model of cable stress is established; Use the numerical simulation method of finite element analysis to simulate the stress distribution and deformation of the cable during the stress process; The simulation results are compared, analyzed and verified with the measured data.

2. A cable toughness detection device according to claim 1, characterized in that: The data acquisition module comprises a data acquisition unit, which is connected to the cable sample via an intelligent sensor, receives the mechanical property data signal of the intelligent sensor, converts the data into a digital signal and stores it.

3. A cable toughness detection device according to claim 1, characterized in that: The adaptive control module includes a real-time data analysis unit and a control instruction generation unit. The real-time data analysis unit is used to analyze the real-time mechanical performance data collected by the intelligent sensor. When the mechanical performance data analysis result of the cable sample is within the tolerance range, the adjustment instruction is transmitted to the tensile testing machine and the adjustment parameters are generated. The control instruction generating unit generates control instructions according to the analysis result of the real-time data analyzing unit, and performs adaptive adjustment on the operating parameters of the tensile testing machine.

4. A cable toughness detection device according to claim 1, characterized in that: By acquiring the tension, displacement and time data during the test, as well as the length data of strain calculation, the strain curve is constructed, and the strain value is calculated based on the displacement data and length data. The strain value ε = displacement / length; The calculated strain value is plotted as a strain-time curve or a strain-displacement curve with time or displacement as the horizontal coordinate and the strain value as the vertical coordinate; the characteristics of the strain curve are analyzed, including the ups and downs of the curve, the change in slope, and the shape of the curve; the strain peak point is marked in the strain curve, that is, the maximum value point in the strain curve, which indicates the maximum deformation of the cable during the stress process.

5. A cable toughness detection device according to claim 4, characterized in that: The strain curve analyzes the characteristics of the curve, including the elastic stage, the yield stage and the fracture stage, wherein the elastic stage is a linear relationship, the cable will recover elastically after being stressed in the elastic stage, and the strain is proportional to the stress; the yield stage is the stage where the cable material begins to undergo plastic deformation, which is manifested as a stage where the strain gradually increases while the stress remains basically stable; the fracture stage is the stage where the cable material reaches the rupture point, which is manifested as a sharp increase in strain and a sharp drop in stress, resulting in cable rupture.

6. A cable toughness detection device according to claim 1, characterized in that: Find the color changes in different areas based on the thermal image, look for areas in the thermal image that are warmer in color and obviously different from the surrounding areas, then use the temperature measurement tool of the thermal imager to measure the temperature of the suspected abnormal hotspot area to confirm whether there is abnormal temperature, then observe the temperature difference between adjacent areas in the thermal image, look for areas with large temperature gradients, and observe areas with rapid temperature changes. When abnormal hotspots or areas with large temperature gradients are found, record the location and temperature information in a timely manner and mark them on the thermal image.

7. A cable toughness detection method, applied to a cable toughness detection device according to any one of claims 1 to 6, characterized in that: The steps include: S1. Obtain cable samples, record the temperature and humidity of the samples under the test environment, as well as the magnitude of the tensile force applied to the cable samples during the tensile test, the displacement, and the strain data generated during the stress process; S2. Based on the test data of the cable, a strain curve is constructed to reflect the strain and deformation characteristics of the cable in the tensile test. The toughness of the cable is tested by adaptively adjusting the test parameters. S3. During the tensile test, infrared thermal imaging technology is used to radiate the cable surface, analyze the heat distribution and evaluate the material state and toughness inside the cable; S4. Analyze the obtained tension, displacement and strain data, calculate the tensile strength, elongation and strain value of the cable, and conduct a comprehensive analysis based on the tension data; The tensile load is applied by a tensile testing machine, the mechanical performance data of the cable during the stretching process is collected, and the tensile strength is calculated. The tensile strength refers to the maximum tensile force that the cable can withstand during the stretching process. The calculation formula of the tensile strength σ is: σ = maximum tensile force / cross-sectional area; Then calculate the elongation, which indicates the extension degree of the cable during the stretching process. The elongation calculation formula is: elongation = (maximum elongation length - original length) / original length * 100%; S5. By introducing numerical simulation methods, a numerical model is constructed based on measured data to simulate the stress distribution and deformation of the cable during the stress process.

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