Integrated valve block and tool for rapid performance test of oil pump

Abstract

According to the integrated valve block and tool for the rapid performance test of the oil pump, element integrated layout is achieved through a vibration suppression integrated structure, accurate centering of a driving motor and the oil pump is guaranteed in cooperation with a flange connecting plate, and vibration generation and transmission are reduced; the self-adaptive flow compensation module collects vibration parameters and flow data in real time through a sensor, the data calculation unit judges the vibration intensity and executes flow compensation calculation, the core problems of vibration source control and vibration distortion correction are effectively solved, meanwhile, rapid assembly is achieved, and the testing precision and efficiency are greatly improved.

Description

Technical Field

[0001] This invention relates to the field of oil pump performance testing technology, and specifically to an integrated valve block and tooling for rapid performance testing of oil pumps. Background Technology

[0002] As a core component of industrial power systems, the accuracy of testing the flow performance parameters of oil pumps directly determines the reliability of product qualification. In scenarios such as mass production testing, maintenance, and calibration of oil pumps, balancing testing efficiency and accuracy is a critical requirement.

[0003] Existing oil pump testing devices suffer from two major flaws. Vibration-induced flow measurement distortion is a key technical bottleneck restricting testing accuracy. Firstly, traditional testing devices are susceptible to external vibration interference during operation, such as bumps and disturbances during device movement, steady-state vibrations from surrounding production equipment like punch presses, air compressors, and heavy machine tools, as well as resonance from the workshop floor and collisions during personnel operation. These vibrations act directly on the testing device body through rigid structures like the base, supports, and connectors, and further propagate to the entire testing system through pipelines and various connectors. Secondly, existing technology lacks an effective flow correction mechanism to address the impact of vibration—vibration causes fluctuations in the precision fit between the valve block and the oil pump, instantaneous leakage at the sealing surface, and slight vibrations in the valve core of valve components, leading to a 5% to 15% deviation in flow measurement values, exceeding the industry-acceptable ±1% error range.

[0004] Meanwhile, traditional testing equipment also suffers from problems such as cumbersome assembly and complex operating condition adjustment: components such as load valves and safety valves need to be spliced ​​through a large number of pipelines, which takes a long time to assemble; this problem, combined with the accuracy defects caused by vibration, further reduces the testing efficiency and data reliability, and cannot meet the needs of rapid and accurate testing of large batches of oil pumps.

[0005] Therefore, there is an urgent need to develop a testing device that combines the advantages of "rapid assembly" structure with the function of "vibration adaptive flow compensation" to solve the problem of flow test distortion caused by vibration and improve testing efficiency. Summary of the Invention

[0006] The purpose of this invention is to provide an integrated valve block and tooling for rapid performance testing of oil pumps, which does not have at least one of the disadvantages mentioned above.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an integrated valve block and tooling for rapid performance testing of oil pumps, comprising a vibration damping integrated structure module and an adaptive flow compensation module; the vibration damping integrated structure module integrates a throttle valve, a pilot-operated relief valve, multiple quick-connect interfaces and a pressure detection interface; the adaptive flow compensation module includes an acceleration sensor, a flow sensor and a data calculation unit; The acceleration sensor is installed on the integrated valve block body or oil pump to collect vibration intensity a, root mean square vibration acceleration b, and vibration frequency f. The flow sensor is connected to a quick-connect interface and is used to collect the reference flow rate Q1 of the oil pump; The data calculation unit is used to receive signals from the acceleration sensor and the flow sensor; and when a is greater than the threshold a0, it calculates the actual flow rate Q2 of the oil pump based on b and Q1.

[0008] Furthermore, the quick-connect interface includes an oil pump outlet connection interface and an oil pump drain port connection interface, which are respectively connected to the throttle valve and the pilot-operated relief valve through the oil circuit inside the integrated valve block body, and the interface is equipped with a clamp or quick-connect connector.

[0009] Furthermore, the data calculation unit receives the vibration intensity 'a' and the reference flow rate 'Q1' signals and generates 'a' and 'Q1' functions in the time domain; it takes several Q1 function segments corresponding to several time periods when 'a' is less than 'a0', and takes the value interval of Q1 corresponding to each function segment as Q value = [Q initial, Q final]; it overlaps several value intervals of Q values, selects the interval with the most overlap, and the midpoint value of this interval is the value of the reference flow rate 'Q1'.

[0010] Furthermore, the acceleration sensor is used to collect the root mean square vibration acceleration b and vibration frequency f and upload the root mean square vibration acceleration b and vibration frequency f to the data calculation unit; the data calculation unit calculates the actual flow rate Q2 of the oil pump based on the root mean square vibration acceleration b, vibration frequency f and reference flow rate Q1, Q2=Q1-A0×k1×b; Where A0 is the vibration influence coefficient, which is determined through calibration experiments; k1 is the vibration frequency correction coefficient, and the value is determined according to the following rules: when f≤100Hz, k1=1.0; when 100Hz<f≤500Hz, k1=1.2; when f>500Hz, k1=1.5.

[0011] Furthermore, in a vibration-free environment, different oil pump speeds were set, and the reference flow rate Q3 at each speed was measured; different intensities of vibration were applied by a vibration excitation device, and the original flow rate Q4 was collected at the same speed; the A value under different working conditions was calculated, A=(Q4-Q3) / (k1×b), and the average value of the A value under different working conditions was taken as the calibration value A0.

[0012] Furthermore, the adaptive flow compensation module also includes a temperature sensor, which is used to collect the actual oil temperature T. The data calculation unit calculates the actual flow rate Q2 of the oil pump based on the root mean square vibration acceleration b, vibration frequency f, actual oil temperature T, and reference flow rate Q1. Q2 = Q1 - A0 × k1 × b + ΔQ; ΔQ = k2 × (T - T0) × Q1, where T0 is the standard test temperature and k2 is the temperature correction coefficient.

[0013] Furthermore, after receiving the vibration intensity signal 'a', the data calculation unit generates a function f(t) of 'a' in the time domain, and calculates the integral value J for several time periods when 'a' is less than the threshold a0; the integral values ​​J are summed to obtain J_total; when the data calculation unit calculates that J_total is greater than the threshold J0, the data calculation unit calculates the actual flow rate Q5 of the oil pump when 'a' is less than the threshold a0, where J = ti represents the length of a time interval when a is less than a0.

[0014] Furthermore, when the data calculation unit calculates that J_total is greater than the threshold J0, the data calculation unit calculates the actual flow rate Q5 of the oil pump when a is less than the threshold a0, Q5 = k3 × Q1 × (1 - J0 / J_total), where k3 is a pre-input constant.

[0015] Furthermore, it also includes a control panel for inputting the values ​​of A0, k1, k2, k3, J0, and T0.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention achieves integrated layout of components through vibration damping integrated structure, and with flange connection plate to ensure precise alignment of drive motor and oil pump, reducing vibration generation and transmission; and the adaptive flow compensation module collects vibration parameters and flow data in real time through sensors, and the data calculation unit judges the vibration intensity and performs flow compensation calculation, which effectively solves the core problems of vibration source control and vibration distortion correction, while realizing rapid assembly and greatly improving test accuracy and efficiency. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0018] Figure 1 This is a block diagram of the control loop of the present invention. Detailed Implementation

[0019] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0020] Example Existing oil pump testing devices suffer from two major flaws. Vibration-induced flow measurement distortion is a key technical bottleneck restricting testing accuracy. Firstly, traditional testing devices are susceptible to external vibration interference during operation, such as bumps and disturbances during device movement, steady-state vibrations from surrounding production equipment like punch presses, air compressors, and heavy machine tools, as well as resonance from the workshop floor and collisions during personnel operation. These vibrations act directly on the testing device body through rigid structures like the base, supports, and connectors, and further propagate to the entire testing system through pipelines and various connectors. Secondly, existing technology lacks an effective flow correction mechanism to address the impact of vibration—vibration causes fluctuations in the precision fit between the valve block and the oil pump, instantaneous leakage at the sealing surface, and slight vibrations in the valve core of valve components, leading to a 5% to 15% deviation in flow measurement values, exceeding the industry-acceptable ±1% error range.

[0021] Meanwhile, traditional testing equipment also suffers from problems such as cumbersome assembly and complex operating condition adjustment: components such as load valves and safety valves need to be spliced ​​through a large number of pipelines, which takes a long time to assemble; this problem, combined with the accuracy defects caused by vibration, further reduces the testing efficiency and data reliability, and cannot meet the needs of rapid and accurate testing of large batches of oil pumps.

[0022] Based on the above issues, please refer to Figure 1 This invention discloses an integrated valve block and tooling for rapid performance testing of oil pumps, including a vibration-damping integrated structure module and an adaptive flow compensation module. The vibration-damping integrated structure module integrates a throttle valve, a pilot-operated relief valve, multiple quick-connect interfaces, and a pressure detection interface. The adaptive flow compensation module includes an acceleration sensor, a flow sensor, and a data calculation unit. The acceleration sensor is mounted on the integrated valve block body or the oil pump to collect vibration intensity *a*, root mean square vibration acceleration *b*, and vibration frequency *f*. The flow sensor is connected to the quick-connect interfaces to collect the reference flow rate *Q1* of the oil pump. The data calculation unit... It is used to receive signals from the acceleration sensor and the flow sensor; and when a is greater than the threshold a0, it calculates the actual flow rate Q2 of the oil pump based on b and Q1; In this invention, the detection subject involved can be referred to the patent document with application number "202420787626.0", in which the drive motor is directly fixed to the integrated valve block through a flange connection plate to ensure that the shaft system of the drive motor and the oil pump are aligned, which facilitates the rotation of the oil pump. The integrated valve block is provided with a handwheel for adjusting the opening of the throttle valve, which can simulate different working conditions of the oil pump from no load to full load; other details will not be elaborated here. Therefore, this invention achieves integrated component layout through a vibration-damping integrated structure, and, in conjunction with a flange connection plate, ensures precise alignment between the drive motor and the oil pump, reducing vibration generation and transmission. Furthermore, the adaptive flow compensation module collects vibration parameters and flow data in real time through sensors, and the data calculation unit determines the vibration intensity and performs flow compensation calculations, effectively solving the core problems of vibration source control and vibration distortion correction. It also enables rapid assembly, significantly improving testing accuracy and efficiency. The quick-connect interface includes an oil pump outlet connection interface and an oil pump drain connection interface, which are connected to the throttle valve and pilot-operated relief valve respectively through the oil circuit inside the integrated valve block body, and the interface is equipped with… Clamps or quick-connect couplings utilize the precision oil circuit inside the integrated valve block to replace external pipeline splicing, reducing gaps and leakage points in the vibration transmission path and lowering the operating vibration intensity by 20% to 30%. The quick-connect interface enables instantaneous connection between the oil pump and the valve block, shortening the assembly time by more than 60% compared to traditional devices, balancing vibration suppression and testing efficiency. The oil outlet and drain ports are specifically matched to the oil pump interface type, and quick locking and fixing are achieved through clamps or quick-connect couplings, ensuring connection sealing while achieving precise oil circuit connectivity. This solves the problems of cumbersome interface connections and poor sealing, enabling rapid disassembly and assembly of the oil pump and stable oil circuit connectivity, further improving batch testing efficiency.

[0023] In existing technologies, the determination of the baseline flow rate Q1 typically does not consider vibration interference. Directly collected flow data is highly susceptible to vibration, leading to inaccurate baseline data for subsequent flow compensation and consequently affecting compensation accuracy. Therefore, in this invention, the data calculation unit receives the root mean square vibration acceleration 'a' and the baseline flow rate Q1 signal and generates 'a' and 'Q1' functions in the time domain. Several Q1 function segments corresponding to time periods where 'a' is less than 'a0' are selected, and the value interval of Q1 corresponding to each function segment is defined as Q value = [Q initial, Q final]. These Q value intervals are overlapped, and the interval with the most overlap is selected; the midpoint of this interval is the value of the baseline flow rate Q1. Flow data corresponding to periods with low vibration intensity (a < a0) is filtered through time domain functions. Overlapping analysis of multiple flow intervals eliminates vibration interference, selecting stable flow intervals, and the midpoint value is taken as the baseline flow rate Q1. This solves the problem of vibration interference affecting the baseline flow rate Q1, providing reliable baseline data support for subsequent accurate compensation. Compared to existing common data clustering methods, the above-mentioned data clustering method that takes the median of interval overlap has the following advantages: First, the specific data mentioned above differs from common data. The data mentioned above comes from the flow rate data corresponding to the low vibration frequency (a < a0) period, rather than the entire data itself. Secondly, conventional data clustering methods typically employ a data aggregation approach, pre-defining a width interval within which the most data points exist, and then taking the median of that width interval as the baseline flow rate Q1. However, in the aforementioned data clustering methods, this width interval is not fixed but rather obtained by overlapping multiple low-vibration intervals after screening. This is a final value, whereas conventional data clustering methods use an initial value to determine the number of data points falling within the width interval. In contrast, the results of this application do not require determination; the results are obtained directly through overlap. Conventional width intervals require continuous adjustment to achieve the minimum width while containing the most data points before obtaining the desired interval. Therefore, the efficiency of this application is far higher than that of conventional methods that rely on adjusting the width of the width interval to obtain the final confidence interval. Third, the above data clustering method has growth potential. As the testing time increases, more intervals corresponding to the low vibration intensity (a < a0) period will be obtained, thereby further improving the accuracy of the baseline flow rate Q1 value and thus improving the accuracy of the flow rate test.

[0024] Because existing technologies lack a quantitative flow compensation mechanism for vibration effects, they cannot accurately adapt to flow distortion correction under different vibration frequencies, resulting in flow test deviations under vibration conditions far exceeding the industry allowable range. Therefore, in an optional embodiment, an accelerometer is used to collect the root mean square vibration acceleration b and vibration frequency f and upload the root mean square vibration acceleration b and vibration frequency f to the data calculation unit. The data calculation unit calculates the actual flow rate Q2 of the oil pump based on the root mean square vibration acceleration b, vibration frequency f, and reference flow rate Q1, Q2=Q1-A0×k1×b; where A0 is the vibration influence coefficient, which is determined through calibration experiments; k1 is the vibration frequency correction coefficient, with the following rules: k1=1.0 when f≤100Hz, k1=1.2 when 100Hz<f≤500Hz, and k1=1.5 when f>500Hz. For the calibration experiment: In a vibration-free environment, different oil pump speeds were set, and the baseline flow rate Q3 at each speed was measured; different intensities of vibration were applied using a vibration excitation device, and the original flow rate Q4 was collected at the same speed; the A value under different operating conditions was calculated, A=(Q4-Q3) / (k1×b), and the average value of the A value under different operating conditions was taken as the calibration value A0; specifically, a vibration isolation test bench was used to build the vibration-free environment, and an electromagnetic vibration table was used as the vibration excitation device; the test oil pump model was CB-B10 gear oil pump, and the standard test temperature T0=25℃; the accelerometer sampling frequency was 1000Hz, and the flow sensor accuracy was 0.1%. The experiment was designed as follows: five operating conditions were fixed at oil pump speeds of 1000r / min, 1500r / min, 2000r / min, 2500r / min, and 3000r / min. Under each operating condition, the vibration-free baseline flow rate Q3 was measured first, and then three vibration intensities a (0.5g, 1.0g, 1.5g; g=m / s²) were applied. 2 The vibration is combined with three vibration frequencies (50Hz, 200Hz, and 600Hz). Since the vibration intensity is constant a, b = a. The original flow rate Q4 under the vibration condition is collected. The corresponding k1 is determined according to the frequency value rule of k1. The value of A is calculated by substituting it into the formula A = (Q4 - Q3) / (k1 × b). The average value of all A values ​​is taken as the calibration value A0.

[0025] The experimental data and results verification are shown in Table 1 below: Table 1 Therefore, under different operating conditions of rotational speed, vibration intensity, and vibration frequency, the A value calculated by the formula A=(Q4-Q3) / (k1×b) is consistently around 0.25, with a dispersion error ≤1%. This indicates that the formula can accurately quantify the degree of vibration impact on flow rate. The calibrated average value is approximately A0=0.25, demonstrating consistency and reliability, and providing accurate core coefficient support for subsequent compensation formulas. The necessity of this formula lies in the fact that the background technology lacks quantitative correlation evidence of vibration impact, resulting in no clear method for flow rate correction. This formula, by using the difference between the vibration-free baseline flow rate Q3 and the original flow rate Q4 under vibration conditions, combined with the corresponding vibration parameters (k1, A), accurately extracts the degree of vibration impact on flow rate and quantifies it as the A value. Without this formula, the vibration impact coefficient A0 cannot be accurately calibrated experimentally, and subsequent flow rate compensation will lack a scientific basis, failing to achieve effective correction of vibration distortion.

[0026] Following the above, the necessity analysis of the formula Q2=Q1-A0×k1×b is as follows: In the background technology, vibration can cause problems such as fluctuations in the precision fit clearance between the valve block and the oil pump, and instantaneous leakage of the sealing surface, resulting in a flow measurement deviation of 5%~15%, exceeding the industry's ±1% error requirement, and existing technologies lack an effective vibration flow correction mechanism; the first point is that the formula Q2=Q1-A0×k1×b quantifies the impact of vibration. By multiplying A0 (vibration influence coefficient), k1 (frequency correction coefficient), and b (root mean square vibration acceleration), the flow distortion caused by vibration is calculated, achieving " The formula establishes a quantitative correlation between vibration parameters and distortion. Secondly, it adapts to different vibration conditions, with k1 segmented according to vibration frequency to compensate for the varying impacts of different vibration frequencies on flow rate, thus improving the formula's adaptability to different operating conditions. Thirdly, the formula ensures accurate measurement by subtracting vibration distortion from the baseline flow rate Q1 to directly output the true flow rate Q2, providing reliable data support for oil pump qualification. Without this formula, the interference of vibration on flow rate cannot be converted into a calculable and subtractable quantitative value, the problem of flow rate distortion caused by vibration cannot be solved, and the goal of accurate testing cannot be achieved.

[0027] To highlight the reliability of the above formula, the following experiments were conducted to verify the accuracy of the correction of the formula Q2=Q1-A0×k1×b under different vibration intensities and vibration frequencies, ensuring that the flow measurement error after compensation is controlled within the industry-allowed range of ±1%. Experimental conditions: The vibration influence coefficient A0 = 0.25 was obtained from the calibration experiment mentioned above; the test oil pump model was CB-B10 gear oil pump, with a fixed speed of 2000 r / min (to eliminate the interference of speed on flow rate), and the standard test temperature T0 = 25℃ (to eliminate the interference of temperature on flow rate); a piezoelectric accelerometer (sampling frequency 1000 Hz) was used to collect vibration parameters, a turbine flow meter (accuracy 0.1%) was used to collect the reference flow rate Q1, and a high-precision standard flow test system (accuracy 0.05%) was used to directly measure the actual flow rate Q1 for comparison and verification.

[0028] Experimental Design: Using the controlled variable method, three sets of vibration intensities (0.4g, 0.8g, 1.2g) and three sets of vibration frequencies (50Hz, 300Hz, 600Hz) were set, covering the entire range of k1 values ​​(k1=1.0 when f≤100Hz, k1=1.2 when 100Hz<f≤500Hz, k1=1.5 when f>500Hz). Since the vibration intensity a is constant, b=a. For each operating condition, the baseline flow rate Q1 during the low-vibration period was first collected, then the corresponding vibration parameters were applied, and the compensated actual flow rate Q2 was calculated using the formula Q2=Q1-A0×k1×b. The relative error between Q2 and the standard measured value Q was compared to verify the rationality of the formula.

[0029] The experimental data and results verification are shown in Table 2 below: Table 2 Therefore, under a full range of operating conditions with varying vibration intensities and frequencies, the relative error between Q2 calculated using the formula Q2=Q1-A0×k1×b and the high-precision standard measurement value Q is ≤0.10%, far exceeding the industry-allowed ±1% error requirement, thus verifying the accuracy and reliability of the formula. The formula can accurately quantify and correct flow distortion under different vibration conditions, effectively solving the problem of vibration-induced flow measurement distortion in the background technology, and providing core algorithmic support for the high-precision testing function of the device.

[0030] The core reason for using the root mean square vibration acceleration 'b' in the two formulas above is that it can accurately and stably characterize the actual intensity and energy of vibration during the test, thus meeting the quantification requirements of flow compensation for the impact of vibration. The specific reasons are as follows: 1. Reflecting the "Effective Intensity" of Vibration: Vibration is a random, periodic dynamic signal. Peak acceleration only reflects the instantaneous maximum vibration amplitude and cannot reflect the duration and energy distribution of the vibration. The root mean square (RMS) vibration acceleration is the effective value of the vibration acceleration signal, calculated by integrating the square of the vibration acceleration time history and then taking the square root. (Since the accelerometer data collected in this invention is discrete, the reference formula for the RMS vibration acceleration is: b...) , where a is vibration intensity), can comprehensively characterize the average energy and sustained intensity of vibration, and is directly related to the cumulative interference effect of vibration on flow. For example, component wear and sealing gap fluctuations are the result of the cumulative effect of vibration energy. 2. Adapting to the correlation of flow fluctuations: The core logic of flow compensation in this paper is that "vibration intensity is positively correlated with flow fluctuations". The root mean square vibration acceleration can stably quantify this correlation. Under the same working conditions, the greater the root mean square acceleration, the more significant the interference of vibration on the precision fit clearance and the working state of valve components, and the greater the flow fluctuation amplitude. This provides physical logic support for "b as the core variable" in the subsequent compensation formula.

[0031] 3. Excellent anti-interference and repeatability: Vibrations in the test environment include instantaneous spike interference (such as motor start-stop impact). The peak value is easily affected by such instantaneous signals, while the root mean square (RMS) can smooth out instantaneous fluctuations and more realistically reflect the steady-state vibration level during the test. At the same time, the measurement and calculation of the RMS acceleration have good repeatability, which makes it easy to determine the vibration influence coefficient b through calibration experiments, ensuring the universality and accuracy of the compensation formula.

[0032] In one embodiment, the adaptive flow compensation module further includes a temperature sensor, which is used to collect the actual oil temperature T. The data calculation unit calculates the actual flow rate Q2 of the oil pump based on the root mean square vibration acceleration b, vibration frequency f, actual oil temperature T, and reference flow rate Q1. Q2 = Q1 - A0 × k1 × b + ΔQ; ΔQ = k2 × (T - T0) × Q1, where T0 is the standard test temperature and k2 is the temperature correction coefficient. By collecting the actual oil temperature in real time through the temperature sensor, calculating the difference between the actual temperature and the standard temperature, and using the ΔQ formula to quantify the influence of temperature on flow rate, the temperature correction term is combined with the vibration compensation term to obtain the fully corrected actual flow rate. This solves the problem of additional flow deviation caused by temperature, realizes "vibration + temperature" dual-factor compensation, and improves the test accuracy under all operating conditions. ΔQ, as a core component of the aforementioned temperature compensation formula, is necessary to address the problem of "accurate correction of the coupled effects of vibration and temperature." In actual oil pump testing, vibration and temperature are not isolated phenomena—vibration intensifies oil friction and heat generation, leading to increased oil temperature; while temperature changes alter oil viscosity, thus affecting the degree of interference from vibration on component clearances and sealing performance (e.g., at high temperatures, lower oil viscosity further increases leakage caused by vibration), creating a coupled effect. If compensation is only made using vibration-related terms (-A0×f×b), the flow deviation caused by temperature superposition will be overlooked. Experiments have shown that when the oil temperature deviates from the standard temperature T by more than 5°C, the error of simple vibration compensation increases by more than 30%. This formula precisely corrects the additional error caused by the coupling of temperature and vibration by quantifying the relationship between temperature deviation (k2×(T-T0)×Q1) and the original flow rate Q. On the one hand, the coefficient of k2 in the formula is determined by calibration experiments of oils with different viscosities, which is used to adapt to the temperature-viscosity characteristics of most industrial hydraulic oils. On the other hand, the correction is based on the original flow rate Q, which ensures the rationality of the temperature compensation ratio under different flow conditions and avoids the problems of insufficient compensation under high flow conditions and overcompensation under low flow conditions caused by fixed compensation values.

[0033] Even when the vibration is less than the threshold but consistently close to it, it still significantly impacts the accuracy of flow rate detection. In this case, the drawbacks of relying solely on a single threshold determination become apparent. Therefore, in one embodiment, after receiving the vibration intensity signal 'a', the data calculation unit generates a function f(t) of 'a' in the time domain. It calculates integral values ​​J for several time periods when 'a' is less than the threshold 'a0'. The integral values ​​J are then summed to obtain Jtotal. When the data calculation unit calculates that Jtotal is greater than the threshold J0, the data calculation unit calculates the actual flow rate Q5 of the oil pump when 'a' is less than the threshold a0, where J = ti represents the time period when a is less than a0. When the data calculation unit calculates that J_total is greater than the threshold J0, the data calculation unit calculates the actual flow rate Q5 of the oil pump when a is less than the threshold a0. Q5 = k3 × Q1 × (1 - J0 / J_total), where k3 is a pre-input constant. When the low vibration accumulation exceeds the threshold, the ratio of J_total to J0 is used to quantify the influence ratio of the accumulation effect. Combined with the correction constant k3, the reference flow rate is adjusted to obtain the actual flow rate under the low vibration accumulation condition. This solves the problem of implicit flow distortion correction caused by low vibration accumulation, forming a dual-path compensation mechanism of "high vibration instantaneous compensation + low vibration accumulation compensation", which enhances the adaptability of the device to the operating conditions. It ensures the detection accuracy even when the vibration intensity is less than the threshold but always close to the threshold, preventing vibration accumulation from affecting the actual flow rate.

[0034] This invention also includes a control panel for inputting the values ​​of A0, k1, k2, k3, J0, and T0. The control panel provides a parameter input interface, allowing users to flexibly adjust core parameters such as vibration threshold, correction coefficients, and standard temperature according to the model of the oil pump being tested and the operating conditions, adapting to different testing scenarios. This solves the problem of poor device versatility, enabling testing of various oil pump models without hardware modifications, reducing testing costs, and meeting diverse testing needs.

[0035] This invention constructs a complete technical solution of "structural integration for vibration suppression + dual-path flow compensation + flexible parameter adaptation": by integrating the structure to solve the problems of assembly and vibration source, and by using precise compensation for vibration and temperature, and covering the implicit distortion of low vibration accumulation conditions, it avoids the superposition effect of existing oil pump testing devices, such as vibration distortion, cumbersome assembly, and poor adaptability to operating conditions, which lead to the mutual influence of these problems, making it difficult to balance testing efficiency and accuracy, and failing to meet the needs of large-scale rapid and accurate testing.

[0036] It should be noted that when a component is said to be "fixed to" another component, it can be directly attached to the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "upper," "lower," "left," "right," "front," "back," and similar expressions used in this document are for illustrative purposes only.

[0037] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An integrated valve block and tooling for rapid performance testing of an oil pump, characterized by, The adaptive flow compensation module comprises an acceleration sensor, a flow sensor and a data calculation unit. The acceleration sensor is installed on the integrated valve block main body or the oil pump, and is used to collect vibration intensity a, root mean square vibration acceleration b and vibration frequency f. The flow sensor is connected to the quick connector interface, and is used to collect the reference flow Q1 of the oil pump. The data calculation unit is used to receive signals of the acceleration sensor and the flow sensor. When a is greater than a threshold value a0, the real flow Q2 of the oil pump is calculated according to b and Q1. The quick connector interface comprises an oil pump oil outlet connection interface and an oil pump oil drain connection interface, which are respectively communicated with the throttle valve and the pilot overflow valve through the oil paths in the integrated valve block main body, and a clamp or a quick plug connector is arranged at the interface.

2. The integrated valve block and fixture for quick performance testing of oil pumps of claim 1, wherein, The data calculation unit receives signals of the vibration intensity a and the reference flow Q1 and generates a function a of a and a function Q1 of Q1 in the time domain; a plurality of Q1 function segments corresponding to a plurality of time periods in which a is less than a0 are taken, and the value range of Q1 corresponding to each Q1 function segment is taken as Q value=[Q initial, Q terminal]; a plurality of value ranges Q value are overlapped, and the interval with the most overlapping times is selected, and the midpoint value of the interval is the value of the reference flow Q1.

3. The integrated valve block and fixture for quick performance testing of oil pumps of claim 1, wherein, The acceleration sensor is used to collect root mean square vibration acceleration b and vibration frequency f and upload root mean square vibration acceleration b and vibration frequency f to the data calculation unit; the data calculation unit calculates the real flow Q2 of the oil pump according to root mean square vibration acceleration b, vibration frequency f and reference flow Q1, Q2=Q1-A0×k1×b; 4. The integrated valve block and fixture for quick performance testing of oil pumps of claim 3, wherein, Wherein, A0 is a vibration influence coefficient, and is determined through calibration experiment; k1 is a vibration frequency correction coefficient. In a non-vibration environment, set different oil pump speeds, measure the reference flow Q3 under each speed; and apply different intensity vibrations through a vibration excitation device, and collect the original flow Q4 under the same speed; 5. The integrated valve block and fixture for quick performance testing of oil pumps of claim 4, wherein, Calculate the A value under different working conditions, A=(Q4-Q3) / (k1×b), and take the average value of the A values under different working conditions as the calibration value A0. The adaptive flow compensation module further comprises a temperature sensor, which is used to collect the actual oil temperature T, and the data calculation unit calculates the real flow Q2 of the oil pump according to root mean square vibration acceleration b, vibration frequency f, actual oil temperature T and reference flow Q1, Q2=Q1-A0×k1×b+ΔQ; ΔQ=k2×(T-T0)×Q1, wherein T0 is the standard test temperature, and k2 is the temperature correction coefficient.

6. The integrated valve block and fixture for quick performance testing of oil pumps of claim 5, wherein, When the data calculation unit calculates that Jtotal is greater than a threshold value J0, the data calculation unit calculates the real flow Q5 of the oil pump when a is less than a threshold value a0, Q5=k3×Q1×(1-J0 / Jtotal), and k3 is a pre-input constant.

7. The integrated valve block and fixture for quick performance testing of oil pumps of claim 3, wherein, The data computing unit generates a function f(t) of a in time domain after receiving the signal of vibration intensity a, and calculates integral value J for each time period when a is less than threshold value a0; the data computing unit sums up the integral values J to obtain total integral value Jtotal; when the data computing unit calculates that Jtotal is greater than threshold value J0, the data computing unit calculates real flow rate Q5 of the oil pump when a is less than threshold value a0, wherein Jtotal = ∑J, and ti is the length of each time period when a is less than a0. ​ 8. The integrated valve block and fixture for quick performance testing of oil pumps of claim 7, wherein, It also comprises a control panel, which is used to input the values of A0, k1, k2, k3, J0 and T0.

9. The integrated valve block and fixture for quick performance testing of oil pumps of claim 1, wherein, ​

Images