Loader seat impact test method, device and equipment and storage medium

Abstract

The invention discloses a loader seat impact test method, device and equipment and a storage medium. Comprising the following steps: carrying out an impact test on the loader seat according to preset working conditions, and recording impact data under each preset working condition; single-time impact data are sequentially selected from the impact data, evaluation indexes of the single-time impact data are calculated, and the single-time impact data are impact data of a single working condition, a single measuring point and a single direction; and summarizing the evaluation indexes under each preset working condition, and generating an impact test report. Through a working condition test covering a typical working scene of the loader, impact data fitting an actual use scene are directly obtained, and the representativeness and pertinence of the data are ensured. By focusing independent data units of a single working condition, a measuring point and a direction, refined quantitative analysis of impact characteristics is directly realized, and the evaluation accuracy is improved. Through integration of multi-dimensional test results, a clear and landing analysis file is directly formed, and a visual decision basis is provided for seat impact performance optimization.

Description

Technical Field

[0001] This invention relates to the field of engineering machinery testing, and in particular to a method, apparatus, equipment and storage medium for impact testing of loader seats. Background Technology

[0002] As one of the core pieces of equipment in the engineering and construction field, loaders often operate in complex environments such as rugged construction sites and heavy-duty material handling. Frequent lifting, steering, and braking operations during operation generate strong impacts, which are directly transmitted to the driver's seat. This not only affects the driver's comfort but also, with prolonged exposure, can lead to occupational health problems. Therefore, accurate testing and evaluation of the impact performance of loader seats is a crucial prerequisite for optimizing the cab suspension system and improving seat vibration damping, and it has become an important part of seat design and performance verification in the construction machinery industry.

[0003] Currently, the industry's testing methods for loader seat impact mostly refer to general vibration testing standards. These methods primarily involve placing acceleration sensors in the seat area to collect vibration data under different operating conditions and then analyzing the data based on fundamental parameters such as vibration amplitude and frequency.

[0004] However, the design of existing test conditions lacks precise coverage of the actual operating scenarios of loaders. Some solutions only select a single or a small number of conditions, resulting in test data that cannot fully reflect the impact response of the seat in complex operations. In addition, existing technologies mostly rely on a single vibration amplitude parameter and fail to quantify the impact process from dimensions such as attenuation characteristics and energy distribution, making it difficult to accurately guide the optimization and matching of the seat's vibration damping structure. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, and storage medium for impact testing of loader seats. By constructing a preset working condition system covering typical operating scenarios of loaders, establishing multi-dimensional impact evaluation indicators, and standardizing data processing procedures, it solves the technical problems of incomplete working condition coverage, single evaluation dimensions, and insufficient data reliability in existing loader seat impact testing.

[0006] According to one aspect of the present invention, a method for testing the impact of a loader seat is provided, the method comprising:

[0007] Impact tests were conducted on the loader seat according to preset working conditions, and the impact data under each preset working condition were recorded.

[0008] Single impact data are selected sequentially from the impact data, and each evaluation index of the single impact data is calculated. The single impact data is impact data under a single working condition, at a single measuring point, and in a single direction.

[0009] The evaluation indicators under each preset working condition are summarized to generate an impact test report.

[0010] Optionally, an impact test is performed on the loader seat according to preset working conditions, and the impact data under each preset working condition is recorded. This includes: using designated locations as measurement points for the impact test and installing triaxial vibration acceleration sensors at the measurement points, wherein the designated locations include the seat surface and the back of the seat; performing an impact test on the loader seat according to preset working conditions, and simultaneously collecting the measurement data of the triaxial vibration acceleration sensors as impact data, wherein the preset working conditions include the lifting condition at the highest power speed, the sudden 90-degree turning condition at the highest power speed, the emergency braking condition at high speed, the shifting condition, and other working conditions.

[0011] Optionally, before sequentially selecting individual impact data from the impact data, the method further includes: filtering the impact data using a filter of a specified frequency to generate filtered impact data.

[0012] Optional evaluation metrics include decay time, number of decay cycles, impact decay frequency, peak-to-peak impact value, maximum impact value, impact half-life, total impact energy, and impact decay rate.

[0013] Optionally, the evaluation indicators for a single impact data are calculated, including: determining the start time of the first occurrence of the impact based on the single impact data, determining the end time of the impact attenuation reaching the preset attenuation threshold, calculating the time difference between the end time and the start time, and using the time difference as the attenuation time; converting the single impact data into a simplified impact waveform, determining the number of complete sine waves in the simplified impact waveform, and using the number of complete sine waves as the number of attenuation cycles; calculating the ratio of the number of impact attenuation cycles to the impact attenuation time, and using the ratio as the impact attenuation frequency.

[0014] Optionally, the evaluation indicators for a single impact data are calculated, including: determining the first and second impact peak values ​​based on the single impact data, and taking the absolute value of the difference between the first and second impact peak values ​​as the impact peak value; taking the absolute value of the largest peak value in the single impact data as the impact maximum value; determining the impact maximum value and its corresponding time in the single impact data, and taking half of the impact maximum value as the target decay value; determining the target time when the impact data first decreases and reaches the target decay value, and taking the difference between the target time and the corresponding time as the impact half-life.

[0015] Optionally, the evaluation indicators of a single impact data are calculated, including: determining the positive and negative peak values ​​in the single impact data, and performing linear regression on the positive and negative peak values ​​to obtain the upper and lower triangles; calculating the total area of ​​the upper and lower triangles, and using the total area as the total impact energy; calculating the sum of the absolute values ​​of the positive and negative impact attenuation rates in the single impact data, and dividing the sum of the absolute values ​​by 2 to obtain the impact attenuation rate.

[0016] According to another aspect of the present invention, a loader seat impact testing device is provided, the device comprising:

[0017] The impact data recording module is used to conduct impact tests on the loader seat according to preset working conditions and record the impact data under each preset working condition.

[0018] The evaluation index calculation module is used to select single impact data from the impact data in sequence and calculate each evaluation index of the single impact data. The single impact data is impact data under a single working condition, at a single measuring point, and in a single direction.

[0019] The impact test report generation module is used to summarize the evaluation indicators under various preset working conditions and generate impact test reports.

[0020] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0021] At least one processor;

[0022] and a memory communicatively connected to the at least one processor;

[0023] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform a loader seat impact test method according to any embodiment of the present invention.

[0024] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement a loader seat impact testing method according to any embodiment of the present invention.

[0025] The technical solution of this invention, through working condition testing covering typical operating scenarios of loaders, directly obtains impact data that closely matches actual usage scenarios, ensuring the representativeness and relevance of the data. By focusing on independent data units of a single working condition, measuring point, and direction, it directly achieves refined quantitative analysis of impact characteristics, improving the accuracy of evaluation. By integrating multi-dimensional test results, it directly forms a clear and practical analysis document, providing an intuitive decision-making basis for optimizing seat impact performance.

[0026] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart of a loader seat impact test method provided in Embodiment 1 of the present invention;

[0029] Figure 2 This is a flowchart of another loader seat impact test method provided in Embodiment 2 of the present invention;

[0030] Figure 3 This is a schematic diagram of a single-impact signal waveform provided in Embodiment 2 of the present invention;

[0031] Figure 4 This is a simplified waveform diagram of an impact provided according to Embodiment 2 of the present invention;

[0032] Figure 5 This is a schematic diagram of a single-impact linear regression provided in Embodiment 2 of the present invention;

[0033] Figure 6 This is a schematic diagram of a loader seat impact test process according to Embodiment 2 of the present invention;

[0034] Figure 7 This is a schematic diagram of the structure of a loader seat impact testing device according to Embodiment 3 of the present invention;

[0035] Figure 8 This is a schematic diagram of the structure of an electronic device for implementing a loader seat impact testing method according to an embodiment of the present invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0037] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0038] Example 1

[0039] Figure 1 This is a flowchart illustrating a loader seat impact testing method according to Embodiment 1 of the present invention. This embodiment is applicable to construction machinery seat impact testing scenarios. The method can be executed by a loader seat impact testing device, which can be implemented in hardware and / or software and can be configured in a computer controller. Figure 1 As shown, the method includes:

[0040] S110. Perform an impact test on the loader seat according to the preset working conditions and record the impact data under each preset working condition.

[0041] The loader seat impact test method refers to a standardized process for quantitatively evaluating the impact effect of loader cab seats by collecting data through a specific testing system and preset working conditions, combined with multi-dimensional evaluation index analysis. This process is used to determine the impact of seat impact on the human body and guide the optimization and matching of the cab suspension system. It is applicable to the impact testing, analysis, and evaluation of most construction machinery seats. Preset working conditions refer to test conditions that are clearly defined before testing and can simulate typical impact scenarios in actual loader operation. These conditions are used to standardize the collection of impact data, including lifting conditions at maximum power speed, sudden 90-degree turning conditions at maximum power speed, emergency braking conditions at high speed, gear shifting conditions, and other conditions. Impact data refers to the raw data collected by the testing system that reflects the changes in vibration acceleration of the seat during the impact process. It is presented in the form of an acceleration time-domain waveform diagram, covering all preset working conditions, each measuring point, and a complete impact process record in each direction.

[0042] Optionally, an impact test is performed on the loader seat according to preset working conditions, and the impact data under each preset working condition is recorded. This includes: using designated locations as measurement points for the impact test and installing triaxial vibration acceleration sensors at the measurement points, wherein the designated locations include the seat surface and the back of the seat; performing an impact test on the loader seat according to preset working conditions, and simultaneously collecting the measurement data of the triaxial vibration acceleration sensors as impact data, wherein the preset working conditions include the lifting condition at the highest power speed, the sudden 90-degree turning condition at the highest power speed, the emergency braking condition at high speed, the shifting condition, and other working conditions.

[0043] Specifically, before conducting the test, a complete testing system needs to be set up. This system includes a data acquisition front-end, a test computer equipped with a data acquisition and analysis system, one triaxial vibration accelerometer for the seat, one ordinary triaxial vibration accelerometer, and the corresponding connecting cables. Then, the measuring points are arranged. The triaxial vibration accelerometer is installed on the seat surface, and the user must sit above it during the test. The other ordinary triaxial vibration accelerometer is attached to the back of the seat. All relevant wiring harnesses are then connected to the test computer to ensure smooth data transmission.

[0044] The preset working conditions include five categories. The first category is the lifting condition at maximum engine speed. During operation, the loader's power system is first adjusted to its maximum speed before initiating the lifting action, simulating the impact scenario of heavy-load lifting. The second category is the sudden 90-degree turn condition at maximum engine speed. Maintaining the power system at maximum speed, the loader is controlled to suddenly complete a 90-degree turn, and impact data at the moment of the turn is collected. The third category is the emergency braking condition at high speed. The loader is first accelerated to high speed, and then an emergency braking operation is performed, capturing the impact response of the seat during braking. The fourth category is the gear shifting condition. During the loader's operation, gear shifting is performed according to normal operating logic, and the impact data generated during gear shifting is recorded. The fifth category is other working conditions, namely other operating scenarios that are prone to generating impact, supplemented according to the actual operating needs of the loader or the test objectives. During the testing process, for each preset working condition, the operating procedures must be strictly followed to ensure the consistency and repeatability of the working conditions. Simultaneously, measurement data from two triaxial vibration acceleration sensors are acquired at the data acquisition front end. The measurement data is presented in the form of time-domain signals, including time and vibration acceleration.

[0045] Optionally, before sequentially selecting individual impact data from the impact data, the method further includes: filtering the impact data using a filter of a specified frequency to generate filtered impact data.

[0046] The specified filtering frequency range can be 0-20Hz. The system can select a bandpass filter or a low-pass filter within this frequency band to perform filtering operations on all impact time-domain data. The 0-20Hz frequency range is chosen because the vibration data in this range has the strongest correlation with the seat impact felt by the human body, accurately reflecting the actual impact on the human body. High-frequency or low-frequency data outside this range are mostly irrelevant interference signals, affecting the accuracy of subsequent evaluation index calculations. During the filtering process, it is necessary to ensure accurate filter parameter settings, retaining impact data within the 0-20Hz frequency band while effectively filtering out interference signals outside this range, ultimately generating filtered impact data. This filtering process removes invalid interference information from the original data, making the basic data used for extracting single-impact data and calculating various evaluation indicators more targeted and reliable, laying a data foundation for a detailed and comprehensive evaluation of seat impacts.

[0047] S120. Select single impact data sequentially from the impact data and calculate each evaluation index of the single impact data. The single impact data is impact data under a single working condition, at a single measuring point, and in a single direction.

[0048] Among them, single impact data specifically refers to an independent impact record corresponding to a single working condition, a single measuring point, and a single direction. For example, under the lifting condition at the highest power speed, the impact data of a single impact in the vertical direction of the seat surface measuring point.

[0049] Optional evaluation metrics include decay time, number of decay cycles, impact decay frequency, peak-to-peak impact value, maximum impact value, impact half-life, total impact energy, and impact decay rate.

[0050] The decay time refers to the time elapsed from the initial impact to the point where the impact first decays to within the acceptable range of ±0.05g for the human body, measured in seconds. The number of decay cycles refers to the number of complete sine waves contained in the simplified waveform of a single impact, which can be a decimal. The impact decay frequency is an indicator reflecting the frequency characteristics of the decay process of a single impact, measured in Hertz. The peak-to-peak value of the impact is the absolute value of the difference between the first and second impact values ​​in a single impact, measured in gravitational acceleration, reflecting the range of impact amplitude fluctuations. The maximum impact value is the maximum absolute value among all peak values ​​in a single impact, measured in gravitational acceleration, directly reflecting the maximum impact intensity. The impact half-life is the time elapsed from reaching its maximum value to the point where it first decays to half its maximum value, measured in seconds. The total impact energy is an indicator quantifying the total energy of a single impact, measured in gravitational acceleration per second, reflecting the energy accumulation effect of the impact. The impact decay rate is an indicator comprehensively reflecting the overall rate of impact decay, measured in gravitational acceleration per second.

[0051] S130. Summarize the evaluation indicators under each preset working condition and generate an impact test report.

[0052] The impact test report is an analysis document generated by summarizing the impact evaluation indicators of all preset working conditions, measuring points and directions. It includes the quantitative results of each indicator, comparison of different schemes and optimization suggestions, and can be directly used to guide the selection and matching of shock absorbers for the cab suspension system.

[0053] Specifically, after calculating the indicators for a single set of single impact data, the system sequentially selects three impact data points across all operating conditions, all measuring points, and key directions for analysis, following the same process. The average values ​​for each indicator in each set of data are calculated to ensure the reliability of the results. Finally, the system collects the average values ​​of various evaluation indicators for impact data from all preset operating conditions, measuring points, and directions. The collected data is then organized, including classification by operating condition, differentiation by measuring point, and summarization by indicator type, forming a clear data system. Based on the data summary, in-depth analysis is conducted in conjunction with the test objectives. For example, the impact characteristics under different operating conditions and the response differences at different measuring points are compared. If multiple vibration dampers are involved in the matching test, the performance of each vibration damper's corresponding indicators needs to be analyzed to determine its vibration damping effect. A complete impact test report is then generated. The report should include a description of the test system, details of the preset operating conditions, measuring point layout, specific quantitative data and average results for each evaluation indicator, data comparison and analysis conclusions, and can also include relevant waveform diagrams, such as original impact signal diagrams, simplified waveform diagrams, and linear regression diagrams for supplementary explanation.

[0054] The technical solution of this invention, through working condition testing covering typical operating scenarios of loaders, directly obtains impact data that closely matches actual usage scenarios, ensuring the representativeness and relevance of the data. By focusing on independent data units of a single working condition, measuring point, and direction, it directly achieves refined quantitative analysis of impact characteristics, improving the accuracy of evaluation. By integrating multi-dimensional test results, it directly forms a clear and practical analysis document, providing an intuitive decision-making basis for optimizing seat impact performance.

[0055] Example 2

[0056] Figure 2 This is a flowchart of a loader seat impact testing method provided in Embodiment 2 of the present invention. This embodiment adds a specific process for calculating various evaluation indicators of a single impact data point based on Embodiment 1. For example... Figure 2 As shown, the method includes:

[0057] S210. Based on the single impact data, determine the start time of the first occurrence of the impact and the end time of the impact decay reaching the preset decay threshold. Calculate the time difference between the end time and the start time, and use the time difference as the decay time.

[0058] Specifically, the system locates the moment of the first impact from the filtered single-impact data and designates this moment as the start time. Then, it determines a preset attenuation threshold, set to ±0.05g according to testing standards. This value corresponds to an acceptable impact state for the human body. Next, it finds the moment in the single-impact data when the vibration acceleration first decays to within ±0.05g and designates this as the end time. Finally, by calculating the difference between the end time and the start time, the result is the attenuation time of that single-impact data, in seconds.

[0059] In one specific implementation, Figure 3 This is a schematic diagram of a single-impact signal waveform provided in Embodiment 2 of the present invention. Figure 3 This diagram displays the time-domain curve of the seat surface vibration acceleration in the X direction during an impact test. The identifier "C54Cab:Seat-Face-+X" corresponds to "cab-seat surface measuring point-X direction." The horizontal axis represents time, and the vertical axis represents vibration acceleration. The red curve shows the change of acceleration in the X direction at this measuring point over time. This curve records the impact vibration response of the loader seat surface in the X direction under preset operating conditions. The fluctuating curve reflects the real-time change of acceleration during the impact, with peak areas corresponding to moments of higher impact intensity. The red curve represents the vibration acceleration signal in the X direction of the seat surface, and the fluctuations in the curve represent changes in acceleration. The yellow boxes mark key impact peaks for subsequent peak data extraction. Grid lines are used to help establish the correspondence between time and acceleration, facilitating the reading of acceleration values ​​at specific moments.

[0060] S220. Convert the single impact data into a simplified impact waveform, determine the number of complete sine waves in the simplified impact waveform, and use the number of complete sine waves as the number of decay cycles.

[0061] Specifically, the system extracts peak values ​​from single impact data, filters out the peak accelerations and corresponding time points for all large waveforms in the data, and then plots a concise and intuitive simplified impact waveform based on the extracted peak accelerations and corresponding times. Next, it identifies complete sine waves within the simplified impact waveform and counts the number of complete sine waves; this number represents the decay cycle count, which can be preserved as a decimal.

[0062] In one specific implementation, Figure 4 This is a simplified waveform diagram of an impact provided according to Embodiment 2 of the present invention. Figure 4This is a simplified impact waveform obtained after processing single impact data. The horizontal axis represents time, and the vertical axis represents vibration acceleration. The blue curve is the simplified impact waveform, showing the fluctuations of the impact vibration. The red boxes are used to divide different period intervals. The red boxes and the labels 1, 2, 3, 4, 5, and 5.5 above represent the number of complete sinusoidal waveforms identified. Figure 4 The data shows that there are 5.5 complete sine wave intervals, indicating that the number of decay cycles for this impact is 5.5.

[0063] S230. Calculate the ratio of the number of impact decay cycles to the impact decay time, and use the ratio as the impact decay frequency.

[0064] Specifically, based on the obtained attenuation cycle number and attenuation time, the calculation is performed according to the set formula, that is, impact attenuation frequency = impact attenuation cycle number / impact attenuation time. The result is the impact attenuation frequency, and the unit is Hertz. This index can effectively reflect the frequency characteristics of a single impact attenuation process.

[0065] S240. Based on the single impact data, determine the peak value of the first impact and the peak value of the second impact, and take the absolute value of the difference between the peak value of the first impact and the peak value of the second impact as the peak value of the impact.

[0066] Specifically, the system identifies the first impact peak and the immediately following second impact peak from the filtered single impact data. The impact peak includes the positive peak value of the peak and the negative peak value of the trough. The system calculates the difference between the first and second impact peak values, and then takes the absolute value of this difference. The result is the peak-to-peak value of the single impact data. This indicator can intuitively reflect the fluctuation range of the impact amplitude, and the unit is gravitational acceleration.

[0067] S250, take the absolute value of the maximum peak value in the single impact data as the maximum impact value.

[0068] Specifically, the system will comprehensively analyze all the peak values ​​that appear in the single impact data, extract the absolute value of each peak value one by one, and then select the largest value. This value is the maximum impact value, and the unit is gravitational acceleration, which directly reflects the maximum intensity of a single impact.

[0069] S260. Determine the maximum impact value and corresponding time in the single impact data, and take half of the maximum impact value as the target attenuation value.

[0070] S270. Determine the target time when the data from a single impact first decreases and reaches the target decay value, and use the difference between the target time and the corresponding time as the impact half-life.

[0071] Specifically, the system determines the exact moment corresponding to the calculated maximum impact value from the single impact data, designating this moment as a key time node. Then, using the maximum impact value as a benchmark, it calculates half of it and sets this value as the target decay value. Subsequently, starting from the moment the maximum impact value occurred in the single impact data, it traces back to the exact moment when the vibration acceleration first decreases and reaches the target decay value, defining this moment as the target moment. Finally, by calculating the difference between the target moment and the moment corresponding to the maximum impact value, the result is the impact half-life, measured in seconds. This indicator effectively reflects the rate of decay of the impact from its peak stage.

[0072] S280. Determine the positive and negative peak values ​​in the single impact data, and perform linear regression on the positive and negative peak values ​​to obtain the upper and lower triangles.

[0073] S290. Calculate the total area of ​​the upper and lower triangles, and use the total area as the total impact energy.

[0074] Specifically, the system extracts all positive and negative peak values ​​from the filtered single-impact data. Linear regression analysis is then performed on each of these extracted values ​​to derive a corresponding linear regression formula. Based on this formula, the impact waveform region corresponding to the positive peak value is approximated as an upper triangle, and the impact waveform region corresponding to the negative peak value is approximated as a lower triangle, transforming the complex impact waveform into a geometrically comprehensible shape. Then, the base and height parameters of the two triangles are determined according to the linear regression formula, and the areas of the upper and lower triangles are calculated. Finally, the areas of the upper and lower triangles are added together, and the total area represents the total impact energy of the single impact data, expressed in gravitational acceleration per second. This total impact energy comprehensively quantifies the cumulative energy effect of a single impact.

[0075] In one specific implementation, Figure 5 This is a schematic diagram of a single-impact linear regression provided in Embodiment 2 of the present invention. Figure 5This is a fitted graph obtained by performing linear regression on the positive and negative peak values ​​of a single impact, used to calculate the total impact energy. The horizontal axis represents time, and the vertical axis represents the impact amplitude. The data points and fitted lines in the graph correspond to the regression results of the positive and negative peak values. Blue dots represent positive peak data points in a single impact, and purple dots represent negative peak data points. The two dashed lines are the linear regression fitted lines for the positive and negative peak values, respectively, and the corresponding formula y = -0.1391x + 0.5216 is the fitted regression equation. The regression equation is used to approximate the distribution of the positive and negative peak values ​​as geometric figures, namely an upper triangle and a lower triangle, providing a basis for calculating the total impact energy. By performing linear regression on the positive and negative peak values, the positive and negative regions of the impact waveform can be simplified into triangles. Subsequently, the total impact energy is obtained by calculating the sum of the areas of the two triangles based on the regression equation.

[0076] S300. Calculate the sum of the absolute values ​​of the positive impact decay rate and the negative impact decay rate in the single impact data, and divide the sum of the absolute values ​​by 2 to obtain the impact decay rate.

[0077] Specifically, the system derives the positive and negative impact attenuation rates using regression formulas obtained from linear regression of the positive and negative peak values. Then, it takes the absolute values ​​of both rates to eliminate the influence of sign on the rate calculation, and adds them together to obtain the sum of the absolute values ​​of the positive and negative impact attenuation rates. Finally, it divides this sum by 2 to obtain the impact attenuation rate, expressed in gravitational acceleration per second. The impact attenuation rate comprehensively reflects the overall attenuation rate of a single impact.

[0078] S310. Summarize the evaluation indicators under each preset working condition and generate an impact test report.

[0079] Specific application scenarios: Figure 6 This is a schematic diagram of a loader seat impact test process provided in Embodiment 2 of the present invention. Figure 6A standardized process for loader seat impact testing and data analysis is provided, proceeding in the order of preparation, testing, analysis, and summarization, ultimately outputting an analysis report that guides seat performance optimization. The initial preparation step is test system construction, which requires setting up a test system including a data acquisition front-end, test computer, vibration acceleration sensors, etc., providing the hardware foundation for subsequent data acquisition. Measurement point placement refers to installing triaxial vibration acceleration sensors at designated locations such as the seat surface and backrest to ensure that the collected data reflects the actual impact state of the seat. Working condition design involves determining preset working conditions simulating the actual operation of the loader, such as lifting, steering, and braking, ensuring the representativeness of the test scenario. Starting the test involves operating the loader according to the designed working conditions and simultaneously collecting impact data from the sensors. Impact time-domain data bandpass filtering involves filtering the collected raw data in the 0-20Hz frequency band to remove interference signals and obtain valid data. Analysis of single-impact data under a specific working condition, at a specific measuring point, and in a specific direction involves extracting single-impact data for a single working condition, measuring point, and direction from filtered data, and calculating eight evaluation indicators, including the number of attenuation cycles and attenuation time. Indicators 1-8 in the diagram correspond to these eight different indicators. These include attenuation time, number of attenuation cycles, impact attenuation frequency, peak-to-peak impact value, maximum impact value, impact half-life, total impact energy, and impact attenuation rate. Performing the above analysis on three impact data points across all working conditions, all measuring points, and key directions, and averaging the indicators, means that to ensure reliable results, the impact data for all test scenarios is analyzed repeatedly, and the average of the indicators from the three tests is taken, improving data stability. Data aggregation and output of the analysis report refers to integrating the average indicators from all working conditions and measuring points to form an analysis report that includes the testing process, data results, and optimization suggestions.

[0080] The technical solution of this invention, by calculating eight evaluation indicators such as decay time and decay cycle number, can achieve a refined and quantitative characterization of the seat impact process from multiple dimensions, including impact duration, frequency characteristics, amplitude fluctuation, peak intensity, decay rate, and energy accumulation. This not only compensates for the one-sidedness of single-parameter evaluation but also accurately captures the different characteristics of the impact. Furthermore, through the synergistic analysis of multiple indicators, it can more comprehensively reflect the actual impact of seat impact on the human body, providing accurate and systematic technical basis for the targeted optimization of subsequent seat vibration damping structures.

[0081] Example 3

[0082] Figure 7 This is a schematic diagram of a loader seat impact testing device provided in Embodiment 3 of the present invention. Figure 7 As shown, the device includes: an impact data recording module 310, used to perform impact tests on the loader seat according to preset working conditions and record the impact data under each preset working condition;

[0083] The evaluation index calculation module 320 is used to select single impact data from the impact data in sequence and calculate each evaluation index of the single impact data. The single impact data is impact data of a single working condition, a single measuring point and a single direction.

[0084] The impact test report generation module 330 is used to summarize the evaluation indicators under various preset working conditions and generate an impact test report.

[0085] Optionally, the impact data recording module 310 is specifically used to: use a designated location as the measuring point for the impact test, and install a triaxial vibration acceleration sensor at the measuring point, wherein the designated location includes the seat surface and the back of the seat; perform an impact test on the loader seat according to preset working conditions, and simultaneously collect the measurement data of the triaxial vibration acceleration sensor as impact data, wherein the preset working conditions include the lifting condition at the highest power speed, the sudden 90-degree turning condition at the highest power speed, the emergency braking condition at high speed, the shifting condition, and other working conditions.

[0086] Optionally, the device further includes a data filtering module, used to filter the impact data using a filter of a specified frequency before sequentially selecting single impact data from the impact data, thereby generating filtered impact data.

[0087] Optionally, the impact test report generation module 330 is specifically used for: determining the start time of the first occurrence of the impact based on single impact data, determining the end time of the impact attenuation reaching the preset attenuation threshold, calculating the time difference between the end time and the start time, and using the time difference as the attenuation time; converting the single impact data into a simplified impact waveform, determining the number of complete sine waves in the simplified impact waveform, and using the number of complete sine waves as the number of attenuation cycles; calculating the ratio of the number of impact attenuation cycles to the impact attenuation time, and using the ratio as the impact attenuation frequency.

[0088] Optionally, the impact test report generation module 330 is specifically used for: determining the first and second impact peak values ​​based on single impact data, and taking the absolute value of the difference between the first and second impact peak values ​​as the impact peak value; taking the absolute value of the largest peak value in the single impact data as the impact maximum value; determining the impact maximum value and corresponding time in the single impact data, and taking half of the impact maximum value as the target decay value; determining the target time when the impact data first decreases and reaches the target decay value, and taking the difference between the target time and the corresponding time as the impact half-life.

[0089] Optionally, the impact test report generation module 330 is specifically used for: determining the positive and negative peak values ​​in a single impact data, and performing linear regression on the positive and negative peak values ​​to obtain an upper triangle and a lower triangle; calculating the total area of ​​the upper and lower triangles, and using the total area as the total impact energy; calculating the sum of the absolute values ​​of the positive impact decay rate and the negative impact decay rate in the single impact data, and dividing the sum of the absolute values ​​by 2 to obtain the impact decay rate.

[0090] The technical solution of this invention, through working condition testing covering typical operating scenarios of loaders, directly obtains impact data that closely matches actual usage scenarios, ensuring the representativeness and relevance of the data. By focusing on independent data units of a single working condition, measuring point, and direction, it directly achieves refined quantitative analysis of impact characteristics, improving the accuracy of evaluation. By integrating multi-dimensional test results, it directly forms a clear and practical analysis document, providing an intuitive decision-making basis for optimizing seat impact performance.

[0091] The loader seat impact testing device provided in this embodiment of the invention can execute the loader seat impact testing method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0092] Example 4

[0093] Figure 8 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0094] like Figure 8As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0095] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0096] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as a loader seat impact testing method.

[0097] In some embodiments, a loader seat impact testing method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the loader seat impact testing method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform a loader seat impact testing method by any other suitable means (e.g., by means of firmware).

[0098] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0099] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0100] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0101] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0102] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0103] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0104] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0105] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for testing the impact of a loader seat, characterized in that, include: Impact tests were conducted on the loader seat according to preset working conditions, and the impact data under each preset working condition were recorded. Single impact data are selected sequentially from the impact data, and each evaluation index of the single impact data is calculated. The single impact data is impact data under a single working condition, at a single measuring point, and in a single direction. The evaluation indicators under each preset working condition are summarized to generate an impact test report.

2. The method according to claim 1, characterized in that, The impact test on the loader seat according to preset working conditions, and the recording of impact data under each preset working condition, include: The designated locations are used as the test points for the impact test, and triaxial vibration acceleration sensors are installed at the test points. The designated locations include the seat surface and the back of the seat. Impact tests were conducted on the loader seat according to preset working conditions, and measurement data from the three-dimensional vibration acceleration sensor were collected simultaneously as impact data. The preset working conditions included lifting conditions at the highest power speed, sudden 90-degree turning conditions at the highest power speed, emergency braking conditions at high speed, gear shifting conditions, and other working conditions.

3. The method according to claim 1, characterized in that, Before sequentially selecting single impact data from the impact data, the method further includes: The impact data is filtered using a filter of a specified frequency to generate filtered impact data.

4. The method according to claim 1, characterized in that, The evaluation indicators include decay time, number of decay cycles, impact decay frequency, peak-to-peak impact value, maximum impact value, impact half-life, total impact energy, and impact decay rate.

5. The method according to claim 4, characterized in that, The evaluation indicators for calculating single impact data include: Based on the single impact data, determine the start time of the first occurrence of the impact, and determine the end time of the impact decay reaching the preset decay threshold. Calculate the time difference between the end time and the start time, and use the time difference as the decay time. The single impact data is converted into a simplified impact waveform, the number of complete sine waves in the simplified impact waveform is determined, and the number of complete sine waves is used as the number of decay cycles. Calculate the ratio of the number of impact decay cycles to the impact decay time, and use the ratio as the impact decay frequency.

6. The method according to claim 4, characterized in that, The evaluation indicators for calculating single impact data include: The first impact peak value and the second impact peak value are determined based on the single impact data, and the absolute value of the difference between the first impact peak value and the second impact peak value is taken as the impact peak value. The absolute value of the maximum peak value in the single impact data is taken as the maximum impact value; Determine the maximum impact value and corresponding time in the single impact data, and take half of the maximum impact value as the target attenuation value; Determine the target time when the data from a single impact first decreases and reaches the target decay value, and use the difference between the target time and the corresponding time as the impact half-life.

7. The method according to claim 4, characterized in that, The evaluation indicators for calculating single impact data include: The positive and negative peak values ​​in the single impact data are determined, and linear regression is performed on the positive and negative peak values ​​to obtain the upper and lower triangles; Calculate the total area of ​​the upper and lower triangles, and use the total area as the total impact energy; Calculate the sum of the absolute values ​​of the positive and negative impact decay rates in a single impact data point, and divide the sum of these absolute values ​​by 2 to obtain the impact decay rate.

8. A loader seat impact testing device, characterized in that, include: The impact data recording module is used to conduct impact tests on the loader seat according to preset working conditions and record the impact data under each preset working condition. The evaluation index calculation module is used to select single impact data sequentially from the impact data and calculate each evaluation index of the single impact data, wherein the single impact data is impact data of a single working condition, a single measuring point and a single direction. The impact test report generation module is used to summarize the evaluation indicators under various preset working conditions and generate impact test reports.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions that are used to cause a processor to execute the method of any one of claims 1-7.

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