Spiral spring testing device, method and system

Abstract

The invention relates to the technical field of spring testing, and particularly discloses a spiral spring testing device, method and system, and the device comprises a load bearing process monitoring module which is used for obtaining a large number of lateral monitoring videos when a spiral spring to be tested bears a stepped alternating load; the dynamic track time-varying analysis module is used for analyzing the dynamic track of the to-be-tested spiral spring when the to-be-tested spiral spring bears the alternating load each time based on all the lateral monitoring videos of each alternating load included in a large number of lateral monitoring videos when the to-be-tested spiral spring bears the stepped alternating load, and analyzing the dynamic track of the to-be-tested spiral spring when the to-be-tested spiral spring bears the stepped alternating load; obtaining the fatigue life of the to-be-tested spiral spring under each alternating load; the performance test result output module is used for taking the fatigue life of the to-be-tested spiral spring under all alternating loads as a performance test result of the to-be-tested spiral spring; the performance testing device is used for efficiently and accurately completing performance testing of the spiral spring, the reliability and safety of the spiral spring can be improved, and normal operation of related equipment is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of spring testing, and in particular to a spiral spring testing device, method and system. Background Art

[0002] At present, in the field of mechanical engineering, coil springs are widely used in various equipment and structures as an important elastic element. In order to ensure the quality and reliability of coil springs, it is essential to accurately test their performance. Under existing technical conditions, the test methods of coil springs usually include static testing and dynamic testing. Static testing focuses on the deformation of the spring under a specific load, while dynamic testing focuses on simulating the alternating load conditions in actual work to evaluate the fatigue life and performance of the spring. In the design stage of the spring, fatigue life is a key design parameter. Designers need to calculate and determine reasonable fatigue life requirements based on factors such as the use environment and load of the spring, and then select appropriate materials, geometries and manufacturing processes to meet this requirement. For example, when designing a shock-absorbing spring in an industrial equipment, based on factors such as the operating frequency, vibration amplitude and expected service life of the equipment, it is determined that the fatigue life of the spring should reach more than 1 million times, and then this goal is achieved through material selection and structural design. In the quality control process, fatigue life testing is an important means to ensure the quality of the spring. By sampling fatigue life testing on mass-produced springs, it is possible to check whether the springs meet the design requirements and prevent unqualified springs from entering the market. For example, in the production of automotive parts, key components such as automotive suspension springs and valve springs must be strictly tested for fatigue life to ensure the safety and reliability of the vehicle. For equipment using springs, understanding the fatigue life of the springs helps to formulate a reasonable maintenance plan. For example, in some large-scale mechanical equipment, by evaluating the fatigue life of springs in key parts, the failure time of the springs can be predicted in advance, so that the springs can be replaced before they fail, avoiding equipment failure or safety accidents caused by sudden failure of the springs.

[0003] Although some automated testing equipment and systems have emerged, there is still room for further improvement in test speed, sample replacement efficiency, data acquisition and processing speed, etc. For example, when conducting fatigue life tests on large quantities of springs, how to shorten the test time of a single sample while ensuring the accuracy of the test results is a key issue in improving test efficiency.

[0004] Therefore, the present invention provides a coil spring testing device, method and system. Summary of the invention

[0005] The present invention provides a coil spring testing device, method and system, which can obtain a large number of lateral monitoring videos by using a load bearing process monitoring module, providing a rich data source for subsequent analysis. A dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the spring each time it is subjected to an alternating load based on these monitoring videos, so as to accurately obtain the fatigue life under each alternating load. This precise analysis helps to gain an in-depth understanding of the performance changes and fatigue levels of the coil spring under different load conditions. Finally, the performance test result output module is used to take the fatigue life under all alternating loads as the performance test result, which fully reflects the performance status of the coil spring. By obtaining a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load, the entire device can shorten the test time of a single spring sample, efficiently and accurately complete the performance test of the coil spring, provide strong support for product quality evaluation and improvement, help improve the reliability and safety of the coil spring, and ensure the normal operation of related equipment.

[0006] The present invention provides a spiral spring testing device, comprising: The load bearing process monitoring module is used to obtain a large number of lateral monitoring videos of the coil spring under test when it is subjected to step alternating loads; A dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the coil spring to be tested each time it is subjected to an alternating load based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a step alternating load, so as to obtain the fatigue life of the coil spring to be tested under each alternating load; The performance test result output module is used to use the fatigue life of the coil spring to be tested under all kinds of alternating loads as the performance test result of the coil spring to be tested.

[0007] Preferably, the load bearing process monitoring module comprises: A step alternating load acquisition submodule is used to acquire a step alternating load list, wherein the step alternating load list contains a plurality of alternating loads whose values ​​increase in a uniform step-by-step manner; The load bearing process monitoring submodule is used to obtain lateral monitoring videos of the coil spring to be tested when it is subjected to each alternating load included in the list of stepped alternating loads for a preset number of times, and obtain all lateral monitoring videos of each alternating load, wherein the total number of lateral monitoring videos of each alternating load is equal to the preset number of times.

[0008] Preferably, the dynamic trajectory time-varying analysis module includes: The lateral monitoring video division submodule is used to extract all lateral monitoring videos of each alternating load from a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load; The dynamic trajectory time-varying characteristic analysis submodule is used to perform time-series gradual analysis on all dynamic trajectories of the tested spiral spring when it is subjected to a single alternating load based on all lateral monitoring videos of each alternating load, so as to obtain the fatigue life of the tested spiral spring under each alternating load.

[0009] Preferably, the dynamic trajectory time-varying feature analysis submodule includes: A dynamic trajectory fitting unit is used to calibrate the positions of all spiral circle fixed points in each video frame of each lateral monitoring video of each alternating load, and fit the compression dynamic trajectory and rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load based on the spiral circle fixed point positions of each spiral circle fixed point in all video frames of each lateral monitoring video of each alternating load; The dynamic trajectory time-varying analysis unit is used to perform time-series gradual analysis on the compression dynamic trajectory and rebound dynamic trajectory of each spiral coil fixed point in all lateral monitoring videos under each alternating load, so as to obtain the fatigue life of the spiral spring to be tested under each alternating load.

[0010] Preferably, the dynamic trajectory time-varying analysis unit comprises: The fixed-point dynamic parameter full-course extraction subunit is used to extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring compression process in the compression dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load, and at the same time, extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring rebound process in the rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load; The dynamic characteristic value extraction subunit is used to extract all kinds of rebound dynamic characteristic values ​​of each spiral circle fixed point in each spring compression process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring compression process, and at the same time, extract all kinds of compression dynamic characteristic values ​​of each spiral circle fixed point in each spring rebound process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring rebound process; The fatigue life analysis subunit is used to analyze the fatigue life of the spiral spring to be tested under each alternating load based on all compression dynamic characteristic values ​​of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and all rebound dynamic characteristic values ​​in all sub-spring rebound ranges of each alternating load.

[0011] Preferably, the fatigue life analysis subunit comprises: The dynamic change rate extraction terminal is used to obtain the change rate of each compression dynamic feature of each spiral fixed point in the whole range of all sub-spring compression of each alternating load based on all compression dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring compression of each alternating load, and at the same time, obtain the change rate of each rebound dynamic feature of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load based on all rebound dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load; The fatigue life analysis terminal is used to analyze the fatigue life of the spiral spring under each alternating load based on the change rates of all compression dynamic characteristics of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and the change rates of all rebound dynamic characteristics of all sub-spring rebound ranges of each alternating load.

[0012] Preferably, the fatigue life analysis end includes: The fatigue damage parameter analysis sub-terminal is used to calculate the fatigue damage rate of each spiral fixed point in each compression dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each compression dynamic feature dimension of each alternating load based on the change rate of each compression dynamic feature of each spiral fixed point in all sub-spring compressions of each alternating load. At the same time, based on the change rate of each rebound dynamic feature of each spiral fixed point in all sub-spring rebounds of each alternating load, the fatigue damage rate of each spiral fixed point in each rebound dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each rebound dynamic feature dimension of each alternating load are calculated. The fatigue life single-dimensional prediction sub-terminal is used to calculate the predicted fatigue life of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load based on the fatigue damage rate of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load. At the same time, based on the fatigue damage rate of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load, the predicted fatigue life of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load is calculated; The fatigue life summary analysis sub-terminal is used to analyze the fatigue life of the coil spring to be tested under each alternating load based on the predicted fatigue life of all coil fixed points of the coil spring to be tested under all compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all rebound dynamic characteristic dimensions.

[0013] Preferably, the fatigue life summary analysis sub-end analyzes the fatigue life of the coil spring to be tested under each alternating load based on the predicted fatigue life of all coil fixed points of the coil spring to be tested under all compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life of all rebound dynamic characteristic dimensions, comprising: The minimum value of the predicted fatigue life of all the spiral coil fixed points of the coil spring to be tested under all kinds of compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all kinds of rebound dynamic characteristic dimensions is taken as the fatigue life of the coil spring to be tested under each alternating load.

[0014] The present invention provides a coil spring testing method, which is applied to any of the above coil spring testing devices, comprising: S1: Obtain a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads; S2: Based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads, the dynamic trajectory of the coil spring to be tested when it is subjected to alternating loads each time is analyzed to obtain the fatigue life of the coil spring to be tested under each alternating load; S3: The fatigue life of the coil spring under all kinds of alternating loads is regarded as the performance test result of the coil spring.

[0015] The present invention provides a spiral spring testing system, comprising: Any of the above coil spring testing devices; The test result transmission module is used to transmit the performance test result of the coil spring to be tested output by any of the above coil spring testing devices to the monitoring center.

[0016] The beneficial effects of the present invention compared to the prior art are as follows: a large number of lateral monitoring videos can be obtained by using a load bearing process monitoring module, providing a rich source of data for subsequent analysis. Based on these monitoring videos, a dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the spring each time it is subjected to an alternating load, thereby accurately obtaining the fatigue life under each alternating load. This precise analysis helps to gain an in-depth understanding of the performance changes and fatigue levels of the coil spring under different load conditions. Finally, the performance test result output module is used to take the fatigue life under all alternating loads as the performance test result, which fully reflects the performance status of the coil spring. By obtaining a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load, the entire device can shorten the test time of a single spring sample, efficiently and accurately complete the performance test of the coil spring, provide strong support for product quality evaluation and improvement, help improve the reliability and safety of the coil spring, and ensure the normal operation of related equipment.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0018] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Schematic diagram of a coil spring testing device in an embodiment of the present invention; Figure 2 is a flow chart of a coil spring testing method in an embodiment of the present invention; Figure 3 Schematic diagram of a coil spring testing system in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0021] Embodiment 1: The present invention provides a spiral spring testing device, referring to Figure 1 ,include: The load bearing process monitoring module is used to obtain a large number of lateral monitoring videos of the coil spring under test when it is subjected to step alternating loads; A dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the coil spring to be tested each time it is subjected to an alternating load based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a step alternating load, so as to obtain the fatigue life of the coil spring to be tested under each alternating load; The performance test result output module is used to use the fatigue life of the coil spring to be tested under all kinds of alternating loads as the performance test result of the coil spring to be tested.

[0022] In this embodiment, the coil spring to be tested refers to a coil spring to be tested for performance, for example, a coil spring selected from a production line that needs to be tested for performance.

[0023] In this embodiment, the step-alternating load refers to an alternating load in which the load value increases in a step-by-step manner. For example, the load increases from 10N to 20N, and then to 30N, and increases in sequence.

[0024] In this embodiment, the lateral monitoring video is a video obtained by shooting the coil spring to be tested from the side, for example, a video recording the change process of the coil spring when it is subjected to load from the side.

[0025] In this embodiment, the alternating load refers to a force whose magnitude and direction change periodically over time, that is, repeated loading and unloading, alternating continuously.

[0026] In this embodiment, the dynamic trajectory of the coil spring to be tested each time it is subjected to an alternating load refers to the motion path generated by the coil spring each time it is subjected to such a changing load. For example, when the spring is subjected to an alternating load from 10N to 20N, its compression and rebound path changes.

[0027] In this embodiment, the fatigue life of the coil spring to be tested under each alternating load refers to the number of cycles that the coil spring can continue to work normally until failure under an alternating load of a certain size and changing pattern. For example, under an alternating load from 20N to 30N, the spring can withstand 10,000 cycles before failure, then 10,000 times is its fatigue life under this alternating load.

[0028] The beneficial effects of the above technology are: the use of the load bearing process monitoring module can obtain a large number of lateral monitoring videos, providing a rich source of data for subsequent analysis. And the dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the spring each time it is subjected to an alternating load based on these monitoring videos, so as to accurately obtain the fatigue life under each alternating load. This precise analysis helps to gain a deep understanding of the performance changes and fatigue level of the coil spring under different load conditions. Finally, the performance test result output module is used to take the fatigue life under all alternating loads as the performance test result, which fully reflects the performance status of the coil spring. By obtaining a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load, the entire device can shorten the test time of a single spring sample, and efficiently and accurately complete the performance test of the coil spring, providing strong support for product quality evaluation and improvement, helping to improve the reliability and safety of the coil spring and ensure the normal operation of related equipment.

[0029] Embodiment 2: Based on Embodiment 1, a load bearing process monitoring module includes: A step alternating load acquisition submodule is used to acquire a step alternating load list, wherein the step alternating load list contains a plurality of alternating loads whose values ​​increase in a uniform step-by-step manner; The load bearing process monitoring submodule is used to obtain lateral monitoring videos of the coil spring to be tested when it is subjected to each alternating load included in the list of stepped alternating loads for a preset number of times, and obtain all lateral monitoring videos of each alternating load, wherein the total number of lateral monitoring videos of each alternating load is equal to the preset number of times.

[0030] In this embodiment, the step-alternating load list refers to a list of multiple alternating loads whose values ​​increase in a uniform step-by-step manner, and the difference between each group of adjacent alternating loads contained in the list is the same. For example, it may contain specific values ​​and related information of different alternating loads that increase in sequence from 50N to 80N and then to 110N.

[0031] In this embodiment, the coil spring to be tested is loaded and unloaded a preset number of times with each alternating load. For example, the coil spring to be tested is subjected to 1000 times of 10N loading and unloading processes, and then the coil spring to be tested is subjected to 1000 times of 20N loading and unloading processes, and then the coil spring to be tested is subjected to 1000 times of 30N loading and unloading processes, and so on, wherein 1000 times is the preset number of times.

[0032] The beneficial effects of the above technology are as follows: the step alternating load acquisition submodule obtains the step alternating load list, which provides clear load conditions for subsequent testing of the spring under different loads. The load bearing process monitoring submodule obtains the lateral monitoring video of the coil spring to be tested for a preset number of times under each alternating load, ensuring the richness and reliability of the data. This design can comprehensively and systematically collect the load bearing process information of the spring under various alternating loads, providing sufficient data support for accurate analysis of the performance and fatigue life of the spring. It helps to improve the accuracy and scientificity of the test, enhance the reliability of the performance evaluation of the coil spring, and provide a strong basis for product quality control and optimization.

[0033] Embodiment 3: Based on Embodiment 1, a dynamic trajectory time-varying analysis module includes: The lateral monitoring video division submodule is used to extract all lateral monitoring videos of each alternating load from a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load; The dynamic trajectory time-varying characteristic analysis submodule is used to perform time-series gradual analysis on all dynamic trajectories of the tested spiral spring when it is subjected to a single alternating load based on all lateral monitoring videos of each alternating load, so as to obtain the fatigue life of the tested spiral spring under each alternating load.

[0034] The beneficial effects of the above technology are as follows: the lateral monitoring video division submodule can accurately extract all lateral monitoring videos of each alternating load, providing clear data classification for subsequent individual analysis. The dynamic trajectory time-varying feature analysis submodule performs time-series gradient analysis based on the exclusive monitoring video of each alternating load. This targeted analysis method can more accurately obtain the dynamic trajectory change characteristics of the spring under each alternating load. Thereby effectively calculating the fatigue life of the tested spiral spring under each alternating load, improving the accuracy and reliability of fatigue life assessment. It helps to have a more comprehensive and in-depth understanding of the performance of spiral springs under different alternating loads, and provides important technical support for optimizing spring design and ensuring its quality.

[0035] Embodiment 4: Based on Embodiment 3, the dynamic trajectory time-varying feature analysis submodule includes: A dynamic trajectory fitting unit is used to calibrate the positions of all spiral circle fixed points in each video frame of each lateral monitoring video of each alternating load, and fit the compression dynamic trajectory and rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load based on the spiral circle fixed point positions of each spiral circle fixed point in all video frames of each lateral monitoring video of each alternating load; The dynamic trajectory time-varying analysis unit is used to perform time-series gradual analysis on the compression dynamic trajectory and rebound dynamic trajectory of each spiral coil fixed point in all lateral monitoring videos under each alternating load, so as to obtain the fatigue life of the spiral spring to be tested under each alternating load.

[0036] In this embodiment, the spiral coil fixed point refers to a specific point selected on the spiral coil of the spiral spring, for example, it can be a certain obvious position or a representative point on the spiral coil.

[0037] In this embodiment, the positions of the spirally circled points are the specific spatial positions of the selected points at a specific time or state. For example, in a frame of a lateral monitoring video, the coordinate positions of the spirally circled points in the coordinate system.

[0038] In this embodiment, the compression dynamic trajectory and the rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load refer to that under the action of a specific alternating load, when the spring is compressed, the trajectory formed by the position change of each selected spiral circle fixed point in the lateral monitoring video is the compression dynamic trajectory, and when the spring rebounds, the trajectory formed by the position change is the rebound dynamic trajectory. For example, under an alternating load of 100N, the path formed by a spiral circle fixed point moving from position A to position B during the compression process of the spring is the compression dynamic trajectory, and the path formed by returning from position B to near position A is the rebound dynamic trajectory.

[0039] The beneficial effects of the above technology are as follows: the dynamic trajectory fitting unit achieves accurate quantification of the dynamic changes of the spring by calibrating the position of the spiral coil fixed point in the video frame and fitting the compression dynamic trajectory and the rebound dynamic trajectory. This provides detailed and accurate basic data for the subsequent time-series gradient analysis, which helps to gain a deeper understanding of the motion state of the spring at different times. The dynamic trajectory time-varying analysis unit performs a time-series gradient analysis on the dynamic trajectory of each spiral coil fixed point, which can fully capture the subtle changes and long-term cumulative effects of the spring under the action of alternating loads. Thereby accurately determining the fatigue life of the spiral spring to be tested under each alternating load, thereby improving the accuracy and reliability of fatigue life assessment. This sophisticated analysis method helps to optimize the design and manufacturing process of the spring and ensure the performance and service life of the spring in practical applications.

[0040] Embodiment 5: Based on Embodiment 4, the dynamic trajectory time-varying analysis unit includes: The fixed-point dynamic parameter full-course extraction subunit is used to extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring compression process in the compression dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load, and at the same time, extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring rebound process in the rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load; The dynamic characteristic value extraction subunit is used to extract all kinds of rebound dynamic characteristic values ​​of each spiral circle fixed point in each spring compression process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring compression process, and at the same time, extract all kinds of compression dynamic characteristic values ​​of each spiral circle fixed point in each spring rebound process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring rebound process; The fatigue life analysis subunit is used to analyze the fatigue life of the spiral spring to be tested under each alternating load based on all compression dynamic characteristic values ​​of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and all rebound dynamic characteristic values ​​in all sub-spring rebound ranges of each alternating load.

[0041] In this embodiment, in the compression (rebound) dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load, the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring compression (rebound) are extracted, which means that for each spiral circle fixed point in the specific alternating load and lateral monitoring video, the real-time moving speed of the fixed point in the whole compression (rebound) process of the spring and the real-time height change in the longitudinal direction are obtained. For example, through the analysis and calculation of the trajectory, it is concluded that during the spring compression process, the real-time displacement speed of a spiral circle fixed point increases from 5 cm per second to 10 cm per second, and the real-time longitudinal height decreases from 10 cm to 5 cm.

[0042] In this embodiment, all kinds of rebound dynamic characteristic values ​​refer to values ​​covering various characteristics that can reflect the performance and state of the spring during its rebound process, such as specific values ​​corresponding to various related characteristics such as rebound starting speed, maximum rebound height, and rebound time.

[0043] In this embodiment, all kinds of compression dynamic characteristic values ​​refer to the values ​​of various characteristics that can reflect the characteristics and conditions of the spring during compression, such as the maximum value of compression speed, the maximum compression height, the compression time and other specific values ​​corresponding to various related characteristics.

[0044] The beneficial effects of the above technologies are as follows: the fixed-point dynamic parameter full-process extraction subunit can accurately extract the real-time displacement velocity and real-time longitudinal height of each spiral coil fixed point throughout the compression and rebound process, providing comprehensive and detailed dynamic parameters. The dynamic eigenvalue extraction subunit further extracts various dynamic eigenvalues ​​from these real-time parameters, enriching the description of the dynamic behavior of the spring. The fatigue life analysis subunit performs analysis based on a large number of dynamic eigenvalues ​​of all spiral coil fixed points, thereby more accurately evaluating the fatigue life of the spiral spring to be tested under each alternating load. This multi-level and refined analysis method improves the accuracy and reliability of fatigue life assessment. It helps to gain a deeper understanding of the mechanical properties and fatigue mechanism of the spring, and provides strong technical support for the optimization design and quality control of the spring.

[0045] Embodiment 6: Based on Embodiment 5, the fatigue life analysis subunit includes: The dynamic change rate extraction terminal is used to obtain the change rate of each compression dynamic feature of each spiral fixed point in the whole range of all sub-spring compression of each alternating load based on all compression dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring compression of each alternating load, and at the same time, obtain the change rate of each rebound dynamic feature of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load based on all rebound dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load; The fatigue life analysis terminal is used to analyze the fatigue life of the spiral spring under each alternating load based on the change rates of all compression dynamic characteristics of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and the change rates of all rebound dynamic characteristics of all sub-spring rebound ranges of each alternating load.

[0046] In this embodiment, based on all compression (rebound) dynamic characteristic values ​​of each spiral circle fixed point in all sub-spring compression (rebound) of each alternating load, the change rate of each compression (rebound) dynamic characteristic of each spiral circle fixed point in all sub-spring compression (rebound) of each alternating load is obtained, which means that according to the values ​​of all compression (rebound) dynamic characteristics obtained in multiple spring compressions (rebounds) of each spiral circle fixed point under each alternating load, the change ratio of each compression (rebound) dynamic characteristic in these multiple operations is calculated. For example, assuming that a spiral circle fixed point performs 5 spring compressions under a certain alternating load, and the maximum compression displacements of each time are 10 cm, 12 cm, 11 cm, 13 cm, and 14 cm respectively, then the change rate of the maximum compression displacement characteristic may be calculated as (14-10) / 10=40%, indicating that the change ratio of the maximum compression displacement in these 5 compressions is 40%.

[0047] The beneficial effects of the above technology are as follows: the dynamic change rate extraction end quantifies the change trend of the dynamic performance of the spring by calculating the dynamic characteristic change rate of each spiral coil fixed point in different compression and rebound processes. This quantification helps to more intuitively understand the performance evolution law of the spring under the action of alternating loads, and provides key intermediate data for fatigue life analysis. The fatigue life analysis end performs analysis based on the multiple dynamic characteristic change rates of all spiral coil fixed points, which can comprehensively consider the overall performance changes of the spring. In this way, the fatigue life of the spiral spring to be tested under each alternating load can be more accurately and comprehensively evaluated. It improves the scientificity and reliability of fatigue life analysis, provides an important basis for the design improvement and quality evaluation of springs, and helps to ensure the reliability and durability of springs in practical applications.

[0048] Embodiment 7: Based on Embodiment 6, the fatigue life analysis end includes: The fatigue damage parameter analysis sub-terminal is used to calculate the fatigue damage rate of each spiral fixed point in each compression dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each compression dynamic feature dimension of each alternating load based on the change rate of each compression dynamic feature of each spiral fixed point in all sub-spring compressions of each alternating load. At the same time, based on the change rate of each rebound dynamic feature of each spiral fixed point in all sub-spring rebounds of each alternating load, the fatigue damage rate of each spiral fixed point in each rebound dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each rebound dynamic feature dimension of each alternating load are calculated. The fatigue life single-dimensional prediction sub-terminal is used to calculate the predicted fatigue life of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load based on the fatigue damage rate of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load. At the same time, based on the fatigue damage rate of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load, the predicted fatigue life of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load is calculated; The fatigue life summary analysis sub-terminal is used to analyze the fatigue life of the coil spring to be tested under each alternating load based on the predicted fatigue life of all coil fixed points of the coil spring to be tested under all compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all rebound dynamic characteristic dimensions.

[0049] In this embodiment, based on the change rate of each compression (rebound) dynamic feature of each spiral fixed point in all sub-spring compression (rebound) of each alternating load, the fatigue damage rate of each spiral fixed point in each compression (rebound) dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each compression (rebound) dynamic feature dimension of each alternating load are calculated, which means that based on each change rate obtained previously, the speed at which the fatigue damage of each spiral fixed point becomes faster in each alternating load and each compression (rebound) dynamic feature specific aspect, as well as the limit degree index of fatigue damage in the current test are further calculated. For example, if the compression dynamic feature is the maximum compression force, through the change rate obtained by multiple measurements, it is calculated that the fatigue damage rate of a spiral fixed point in the feature dimension of the maximum compression force under a specific alternating load is 5% per 100 cycles, and the fatigue damage limit index of the current test is 0.8.

[0050] Assuming that the compression dynamic characteristic of interest is the maximum compression displacement of the spring, a spiral coil fixed point performs 8 spring compression operations under a certain alternating load (for example, alternating from 100N to 200N). The maximum compression displacements of these 8 times are 8cm, 9cm, 10cm, 11cm, 12cm, 13cm, 14cm, and 15cm respectively.

[0051] First, calculate the rate of change: the amount of change each time is 1cm, 1cm, 1cm, 1cm, 1cm, 1cm, 1cm. The average rate of change = (15-8) / (8×8)≈9.375%.

[0052] The fatigue damage rate is assumed to be proportional to the rate of change. It is known that the damage rate is 0.08 when the rate of change is 10%. Then when the current rate of change is 9.375%, the damage rate is approximately 0.075.

[0053] The current test fatigue damage limit index assumes that the limit is reached when the maximum compression displacement changes by more than 20% of the initial value. The current change is (15-8) / 8=87.5%, so the limit index is 87.5% / 20%=4.375 (normalization is performed if it exceeds 1), which is 1 after normalization.

[0054] In this embodiment, based on the fatigue damage rate of each spiral circle fixed point under each compression (rebound) dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each compression (rebound) dynamic characteristic dimension of each alternating load, the predicted fatigue life of each spiral circle fixed point under each compression (rebound) dynamic characteristic dimension of each alternating load is calculated. That is, the calculated fatigue damage rate and limit index and other data are used to estimate the number of cycles in which the spring can work normally under a specific alternating load and a specific compression (rebound) dynamic characteristic dimension for each spiral circle fixed point.

[0055] For example, based on the fatigue damage rate and limit index calculated previously, it is predicted that under a certain alternating load, for the characteristic dimension of maximum compression force, the predicted fatigue life of the spring corresponding to the fixed point of the spiral coil is 8000 cycles. Assume that the fatigue damage rate is 0.075 and the limit index is 1; Assuming that the predicted fatigue life = (initial predicted life × limit index) / damage rate, when the damage rate is 0.1 and the limit index is 1, the initial predicted fatigue life is 10,000 cycles; Then the current predicted fatigue life = (10000×1) / 0.075≈133333 cycles.

[0056] The beneficial effects of the above technologies are as follows: the fatigue damage parameter analysis sub-end provides key parameters for subsequent fatigue life prediction by calculating the fatigue damage rate and the current test fatigue damage limit index of each spiral coil fixed point under each compression dynamic characteristic dimension under each alternating load. The fatigue life single-dimensional prediction sub-end calculates the predicted fatigue life of each spiral coil fixed point under each compression dynamic characteristic dimension based on these parameters, realizing a single-dimensional prediction of fatigue life. The fatigue life summary analysis sub-end comprehensively considers the predicted fatigue life of all spiral coil fixed points under various compression dynamic characteristic dimensions, and finally derives the fatigue life of the spiral spring to be tested under each alternating load. This multi-dimensional, step-by-step in-depth analysis method improves the accuracy and reliability of fatigue life prediction. It helps to more comprehensively evaluate the fatigue performance of spiral springs, and provides strong support for optimizing spring design, improving product quality and ensuring safety in use.

[0057] Embodiment 8: Based on Embodiment 7, the fatigue life summary analysis sub-end analyzes the fatigue life of the coil spring to be tested under each alternating load based on the predicted fatigue life of all coil fixed points of the coil spring to be tested under all kinds of compression dynamic characteristic dimensions and the predicted fatigue life of all kinds of rebound dynamic characteristic dimensions under each alternating load, comprising: The minimum value of the predicted fatigue life of all the spiral coil fixed points of the coil spring to be tested under all kinds of compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all kinds of rebound dynamic characteristic dimensions is taken as the fatigue life of the coil spring to be tested under each alternating load.

[0058] The beneficial effects of the above technology are: by selecting the minimum value of fatigue life predicted by all the spiral coil fixed points under all the compression dynamic characteristic dimensions of each alternating load as the fatigue life of the spiral spring to be tested under each alternating load, this method embodies the most conservative and safe evaluation principle. It ensures that the evaluation results can reflect the fatigue performance of the spring under the most unfavorable conditions, providing a strong guarantee for the reliability of the product. It effectively avoids the potential safety hazards caused by over-optimistic estimates and improves the reliability and prudence of the spring fatigue life evaluation. It helps to take more reasonable safety measures and maintenance strategies when designing and using spiral springs, extend the service life of the spring, and reduce potential failure risks.

[0059] Embodiment 9: The present invention provides a coil spring testing method, which is applied to the coil spring testing device described in any one of Embodiments 1 to 8, comprising: S1: Obtain a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads; S2: Based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads, the dynamic trajectory of the coil spring to be tested when it is subjected to alternating loads each time is analyzed to obtain the fatigue life of the coil spring to be tested under each alternating load; S3: The fatigue life of the coil spring under all kinds of alternating loads is regarded as the performance test result of the coil spring.

[0060] The beneficial effects of the above technology are as follows: Step S1 can obtain a large number of lateral monitoring videos, providing a rich source of data for subsequent analysis. Step S2 analyzes the dynamic trajectory of the spring each time it is subjected to an alternating load based on these monitoring videos, so as to accurately obtain the fatigue life under each alternating load. This precise analysis helps to gain an in-depth understanding of the performance changes and fatigue levels of the coil spring under different load conditions. Step S3 uses the fatigue life under all alternating loads as the performance test result, which fully reflects the performance status of the coil spring. By obtaining a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load, the entire device can shorten the test time of a single spring sample, and efficiently and accurately complete the performance test of the coil spring, providing strong support for product quality evaluation and improvement, helping to improve the reliability and safety of the coil spring and ensure the normal operation of related equipment.

[0061] Embodiment 10: The present invention provides a coil spring testing system, comprising: The coil spring testing device according to any one of embodiments 1 to 8; The test result transmission module is used to transmit the performance test result of the coil spring to be tested output by the coil spring testing device described in any one of embodiments 1 to 8 to a monitoring center.

[0062] The beneficial effects of the above technology are as follows: it includes an advanced coil spring test device, which can accurately test the performance of the coil spring and obtain key performance indicators such as fatigue life under different alternating loads. The test result transmission module can transmit the performance test results obtained by the test device to the monitoring center in a timely and stable manner. It realizes the rapid sharing and centralized management of data, which is convenient for relevant personnel to view and analyze uniformly in the monitoring center. It helps to find the performance problems of the spring in time, and provides timely and effective data support for the optimization of the production process, quality control and subsequent product improvement. It improves the efficiency and management level of the testing work and ensures the quality and reliability of the coil spring.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A coil spring testing device, characterized in that: include: The load bearing process monitoring module is used to obtain a large number of lateral monitoring videos of the coil spring under test when it is subjected to step alternating loads; A dynamic trajectory time-varying analysis module is used to analyze the dynamic trajectory of the coil spring to be tested each time it is subjected to an alternating load based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a step alternating load, so as to obtain the fatigue life of the coil spring to be tested under each alternating load; The performance test result output module is used to use the fatigue life of the coil spring to be tested under all kinds of alternating loads as the performance test result of the coil spring to be tested.

2. The coil spring testing device according to claim 1, characterized in that: Load bearing process monitoring module, including: A step alternating load acquisition submodule is used to acquire a step alternating load list, wherein the step alternating load list includes a plurality of alternating loads whose values ​​increase in a uniform step-by-step manner; The load bearing process monitoring submodule is used to obtain lateral monitoring videos of the coil spring to be tested when it is subjected to each alternating load included in the list of stepped alternating loads for a preset number of times, and obtain all lateral monitoring videos of each alternating load, wherein the total number of lateral monitoring videos of each alternating load is equal to the preset number of times.

3. The coil spring testing device according to claim 1, characterized in that: Dynamic trajectory time-varying analysis module, including: The lateral monitoring video division submodule is used to extract all lateral monitoring videos of each alternating load from a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to a stepped alternating load; The dynamic trajectory time-varying characteristic analysis submodule is used to perform time-series gradual analysis on all dynamic trajectories of the tested spiral spring when it is subjected to a single alternating load based on all lateral monitoring videos of each alternating load, so as to obtain the fatigue life of the tested spiral spring under each alternating load.

4. The coil spring testing device according to claim 3, characterized in that: Dynamic trajectory time-varying feature analysis submodule, including: A dynamic trajectory fitting unit is used to calibrate the positions of all spiral circle fixed points in each video frame of each lateral monitoring video of each alternating load, and fit the compression dynamic trajectory and rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load based on the spiral circle fixed point positions of each spiral circle fixed point in all video frames of each lateral monitoring video of each alternating load; The dynamic trajectory time-varying analysis unit is used to perform time-series gradual analysis on the compression dynamic trajectory and rebound dynamic trajectory of each spiral coil fixed point in all lateral monitoring videos under each alternating load, so as to obtain the fatigue life of the spiral spring to be tested under each alternating load.

5. The coil spring testing device according to claim 4, characterized in that: Dynamic trajectory time-varying analysis unit, including: The fixed-point dynamic parameter full-course extraction subunit is used to extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring compression process in the compression dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load, and at the same time, extract the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in the corresponding spring rebound process in the rebound dynamic trajectory of each spiral circle fixed point in each lateral monitoring video of each alternating load; The dynamic characteristic value extraction subunit is used to extract all kinds of rebound dynamic characteristic values ​​of each spiral circle fixed point in each spring compression process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring compression process, and at the same time, extract all kinds of compression dynamic characteristic values ​​of each spiral circle fixed point in each spring rebound process from the real-time displacement speed and real-time longitudinal height of each spiral circle fixed point in each spring rebound process; The fatigue life analysis subunit is used to analyze the fatigue life of the spiral spring to be tested under each alternating load based on all compression dynamic characteristic values ​​of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and all rebound dynamic characteristic values ​​in all sub-spring rebound ranges of each alternating load.

6. The coil spring testing device according to claim 5, characterized in that: Fatigue life analysis subunit, including: The dynamic change rate extraction terminal is used to obtain the change rate of each compression dynamic feature of each spiral fixed point in the whole range of all sub-spring compression of each alternating load based on all compression dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring compression of each alternating load, and at the same time, obtain the change rate of each rebound dynamic feature of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load based on all rebound dynamic feature values ​​of each spiral fixed point in the whole range of all sub-spring rebound of each alternating load; The fatigue life analysis terminal is used to analyze the fatigue life of the spiral spring under each alternating load based on the change rates of all compression dynamic characteristics of all spiral coil fixed points in all sub-spring compression ranges of each alternating load and the change rates of all rebound dynamic characteristics of all sub-spring rebound ranges of each alternating load.

7. The coil spring testing device according to claim 6, characterized in that: Fatigue life analysis, including: The fatigue damage parameter analysis sub-terminal is used to calculate the fatigue damage rate of each spiral fixed point in each compression dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each compression dynamic feature dimension of each alternating load based on the change rate of each compression dynamic feature of each spiral fixed point in all sub-spring compressions of each alternating load. At the same time, based on the change rate of each rebound dynamic feature of each spiral fixed point in all sub-spring rebounds of each alternating load, the fatigue damage rate of each spiral fixed point in each rebound dynamic feature dimension of each alternating load and the fatigue damage limit index of each spiral fixed point in each rebound dynamic feature dimension of each alternating load are calculated. The fatigue life single-dimensional prediction sub-terminal is used to calculate the predicted fatigue life of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load based on the fatigue damage rate of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each compression dynamic characteristic dimension of each alternating load. At the same time, based on the fatigue damage rate of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load and the current test fatigue damage limit index of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load, the predicted fatigue life of each spiral circle fixed point under each rebound dynamic characteristic dimension of each alternating load is calculated; The fatigue life summary analysis sub-terminal is used to analyze the fatigue life of the coil spring to be tested under each alternating load based on the predicted fatigue life of all coil fixed points of the coil spring to be tested under all compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all rebound dynamic characteristic dimensions.

8. The coil spring testing device according to claim 7, characterized in that: The fatigue life summary analysis sub-end is based on the predicted fatigue life of all the spiral coil fixed points of the spiral spring under each alternating load under all kinds of compression dynamic characteristic dimensions and the predicted fatigue life under all kinds of rebound dynamic characteristic dimensions, and the method of analyzing the fatigue life of the spiral spring under each alternating load includes: The minimum value of the predicted fatigue life of all the spiral coil fixed points of the coil spring to be tested under all kinds of compression dynamic characteristic dimensions of each alternating load and the predicted fatigue life under all kinds of rebound dynamic characteristic dimensions is taken as the fatigue life of the coil spring to be tested under each alternating load.

9. A method for testing a coil spring, characterized in that: The spiral spring testing device as claimed in any one of claims 1 to 8 comprises: S1: Obtain a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads; S2: Based on all lateral monitoring videos of each alternating load contained in a large number of lateral monitoring videos of the coil spring to be tested when it is subjected to step alternating loads, the dynamic trajectory of the coil spring to be tested when it is subjected to alternating loads each time is analyzed to obtain the fatigue life of the coil spring to be tested under each alternating load; S3: The fatigue life of the coil spring under all kinds of alternating loads is regarded as the performance test result of the coil spring.

10. A coil spring testing system, characterized in that: include: The helical spring testing device according to any one of claims 1 to 8; A test result transmission module is used to transmit the performance test result of the coil spring to be tested output by the coil spring testing device as described in any one of claims 1 to 8 to a monitoring center.

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