A method for evaluating the shock absorption of a water pump based on multi-data processing

Abstract

The present invention relates to the technical field of water pump shock absorption, and discloses a water pump shock absorption evaluation method based on multi-data processing, including: collecting the axial and radial accelerations of the water pump and calculating the average value; determining whether a shock absorption device is installed on the water pump. If so, displacement sensors are arranged at the connection position between the shock absorption device and the water pump to collect first displacement data. Otherwise, the key parts of the water pump are obtained and displacement sensors are arranged to collect second displacement data; filtering the displacement data and calculating the average value; obtaining the geometric center of the water pump, and at a set threshold distance from the geometric center of the water pump, a number of noise sensors are evenly arranged in an annular array to collect noise sound pressure level data and calculate the average value; establishing a comparison index sequence in the actual shock absorption state of the water pump and dimensionlessizing it, calculating the correlation degree between the water pump and the reference index sequence in the ideal shock absorption state, and obtaining the shock absorption effect of the water pump; this method improves the accuracy and comprehensiveness of the evaluation result of the water pump shock absorption effect.

Description

Technical Field

[0001] The present invention relates to the technical field of water pump shock absorption, and particularly relates to a water pump shock absorption evaluation method based on multi-data processing. Background Art

[0002] During the operation of a water pump, due to the flow of internal liquid, the friction of mechanical structures, and the drive of the motor, vibrations and noises are often generated; these vibrations and noises not only affect the operation efficiency of the equipment, but may also cause pollution to the surrounding environment and even lead to equipment damage. Therefore, to solve this problem, modern water pumps usually come with shock absorption devices or are designed to have shock absorption effects to achieve the effects of shock absorption and noise reduction. For example, installing natural rubber shock-absorbing connectors on the water pump. This type of connector has excellent elastic and damping characteristics and can well absorb and disperse vibration energy, thus effectively reducing the vibrations and noises during the operation of the water pump; or installing damping spring shock absorbers, such as MC-350, SHA type adjustable spring shock absorbers, etc. They combine damping materials with high-strength springs to form a dual shock absorption system, effectively absorbing various frequency vibrations generated during equipment operation; or installing rubber shock absorbers, such as RM-90 rubber shock absorbers, which are made of high-quality rubber materials and can play an excellent role in absorbing vibrations and reducing noises; although designing water pumps with shock absorption effects or installing shock absorption devices on water pumps improves the operation stability and service life of the water pumps, most of them analyze based on single data and cannot comprehensively consider the influence of multiple factors on the shock absorption effect of the water pumps, resulting in inaccurate and incomplete evaluation results of the water pump shock absorption, and unable to provide an effective basis for optimizing the shock absorption effect of the water pumps. Summary of the Invention

[0003] In view of the above deficiencies in the prior art, the present invention provides a water pump shock absorption evaluation method based on multi-data processing to solve the problem of inaccurate evaluation of the water pump shock absorption effect caused by the limitation to single-factor data analysis in existing water pump shock absorption methods or water pumps equipped with shock absorption devices.

[0004] To achieve the above invention purpose, the technical solution adopted by the present invention is as follows:

[0005] A water pump shock absorption evaluation method based on multi-data processing, comprising the following steps:

[0006] S1. Based on the position of the pump shaft of the water pump, axially and radially acceleration sensors are evenly arranged, the axially and radially acceleration sensors are collected and the average value is calculated to obtain the average acceleration of the water pump;

[0007] S2. Determine whether a shock absorber is installed on the water pump. If so, arrange displacement sensors at the connection positions between the shock absorber and the water pump to collect the first displacement data of the water pump. Otherwise, obtain the key parts of the water pump, arrange displacement sensors at the key parts, and collect the second displacement data of the water pump;

[0008] Among them, the key parts of the water pump include the pump body shell of the water pump, the connection positions of the inlet and outlet pipelines, and the connection positions between the motor and the pump body;

[0009] S3. After filtering the first displacement data of the water pump or the second displacement data of the water pump, calculate the average value to obtain the first average displacement of the water pump or the second average displacement of the water pump;

[0010] S4. Obtain the geometric center of the water pump. At a set threshold distance from the geometric center of the water pump, arrange a number of noise sensors in a circular array, collect the noise sound pressure level data of all the noise sensors and calculate the average value to obtain the average noise sound pressure level of the water pump;

[0011] S5. Based on the average acceleration, average noise sound pressure level, first average displacement or second average displacement of the water pump, establish a comparison index sequence under the actual shock absorption state of the water pump and make it dimensionless, generate the dimensionless index data of the water pump, and based on the reference index sequence of the water pump under the ideal shock absorption state, calculate the correlation degree between each water pump and the reference index sequence to obtain the shock absorption effect of the water pump.

[0012] The present invention has the following beneficial effects:

[0013] 1. A water pump shock absorption evaluation method based on multi-data processing proposed by the present invention arranges acceleration sensors axially and radially based on the water pump pump shaft position, arranges displacement sensors at different positions, and arranges noise sensors in a circular array form, collects data from multiple dimensions, comprehensively obtains the vibration, displacement and noise information of the water pump, forms an all-round monitoring of the operation state of the water pump, avoids the one-sidedness of single-sensor data, provides a richer information basis for the health state evaluation of the water pump; and combines these data to reflect the overall state of the water pump during operation, including the vibration situation, displacement change and generated noise level of the water pump, helps to discover various problems that may exist during the operation of the water pump, and improves the accuracy and comprehensiveness of the water pump shock absorption evaluation results;

[0014] 2. Conduct grey relational analysis on the collected multiple data, and by establishing a comparison index sequence and a reference index sequence, analyze the correlation degree between the actual data collected by the water pump and the ideal data in the evaluation of the water pump shock absorption effect, so as to judge the quality of the water pump shock absorption effect, avoid the limitations brought by single-index evaluation, evaluate the water pump shock absorption effect as a whole, and improve the accuracy of the water pump shock absorption evaluation. Description of the Drawings

[0015] Figure 1 This is a schematic flow chart of a method for evaluating the shock absorption of a water pump based on multi-data processing proposed by the present invention. Specific embodiments

[0016] The following describes the specific embodiments of the present invention to facilitate those skilled in the art of this technology to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art of this technology, as long as various changes are within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are within the scope of protection.

[0017] As Figure 1 shown, a method for evaluating the shock absorption of a water pump based on multi-data processing includes the following steps S1 - S5:

[0018] S1. Based on the position of the pump shaft of the water pump, axially and radially acceleration sensors are evenly arranged, the axially and radially acceleration sensors are collected and the average value is calculated to obtain the average acceleration of the water pump.

[0019] In this embodiment, the purpose of calculating the average value is as follows: Using the average value to reflect the overall vibration level of the water pump in the axial or radial direction within a certain sampling time, avoiding the complexity of directly processing a large amount of raw data, and at the same time eliminating the influence of these random errors to a certain extent, making the obtained data more stable and reliable, and better reflecting the true situation of the water pump vibration.

[0020] Specifically, step S1 specifically includes S11 - S15:

[0021] S11. Taking the pump shaft of the water pump as the axial reference line, m points are equally spaced on the pump shaft, each point is used as a perpendicular point, a perpendicular line from the perpendicular point to the pump body shell is drawn, the intersection point of the perpendicular line and the pump body shell is obtained, a circle is drawn with the distance from the perpendicular point to the corresponding intersection point as the radius, m circles are generated, and n1 endpoints are evenly selected on the m circles, m * n1 endpoints are generated, and axially acceleration sensors are arranged on the m * n1 endpoints.

[0022] S12. Set the sampling time, use the m * n1 axially acceleration sensors to collect the axial acceleration and calculate the average value to obtain the average acceleration of the axially acceleration sensors, that is:

[0023]

[0024] Among them, represents the average acceleration of the axially acceleration sensors, represents the sampling time, represents the th moment of the The axial acceleration value collected by an axial acceleration vibration sensor.

[0025] In this embodiment, taking the pump shaft as the axial reference line, axial acceleration sensors are arranged on the pump body housing. The purpose is as follows: Since the pump shaft is the main rotating component of the water pump, its axial vibration condition can reflect the operating state and possible problems of the water pump in the axial direction, such as axial displacement, imbalance, etc.; therefore, by arranging sensors at multiple axial positions, the vibration information of different points on the pump body housing in the axial direction can be captured, avoiding local errors that may be caused by single-point measurement or missing important vibration characteristics.

[0026] S13. Obtain the center point of the pump shaft, construct a vertical plane passing through the center point and perpendicular to the pump shaft, extend the vertical plane to the pump body housing, arbitrarily select a point on this vertical plane and connect it to the center point as the maximum radius, uniformly select k points on the maximum radius, draw circles with the center point to the k points as the radii, generate k circles, and uniformly select n2 points on the k circles to generate k * n2 endpoints, and arrange radial acceleration sensors on the k * n2 endpoints.

[0027] S14. Set the sampling time, use the k * n2 radial acceleration sensors to collect radial acceleration and calculate the average value to obtain the average acceleration of the radial acceleration sensors, that is:

[0028]

[0029] Among them, represents the average acceleration of the radial acceleration sensors, represents the th radial acceleration value collected by the

[0030] In this embodiment, radial acceleration sensors are arranged on the vertical plane from the center point of the pump shaft to the pump body housing. The purpose is as follows: To measure the vibration of the water pump in the direction perpendicular to the pump shaft (i.e., the radial direction); since the radial vibration is usually closely related to problems such as imbalance, misalignment, and bearing failure of the rotating components of the water pump, by uniformly arranging sensors on this vertical plane, the vibration conditions of the pump body in all radial directions can be comprehensively monitored, so as to more accurately diagnose the type and degree of faults of the water pump.

[0031] S15. According to the average acceleration of the axial acceleration sensors and the average acceleration of the radial acceleration sensors, obtain the average acceleration of the water pump, that is:

[0032]

[0033] Among them, represents the average acceleration of the water pump.

[0034] In summary, this step measures the acceleration axially and radially respectively, calculates the average value, and comprehensively evaluates the vibration state of the water pump from different directions. It can not only detect whether there is an overall abnormal vibration during the operation of the water pump, but also further analyze the possible fault causes based on the differences in axial and radial vibrations. For example, if the axial acceleration is large, it may imply axial movement of the pump shaft or problems with the thrust bearing; while a large radial acceleration may be related to impeller imbalance, pump shaft bending, or bearing wear. This multi-directional monitoring can provide richer information, helping to more accurately judge the operating condition and potential problems of the water pump. In addition, the layout of multiple sensors and the calculation of the average value can effectively reduce the measurement errors and the influence of local interference that may occur in a single sensor, improving the reliability and accuracy of the data. At the same time, the weighted average method comprehensively considers the vibration information in the axial and radial directions, making the final average acceleration of the water pump better represent the overall vibration level of the water pump, providing a more valuable basis for fault diagnosis and condition monitoring. This helps technicians to more accurately locate problems, take targeted maintenance measures, and improve the maintenance efficiency and quality. Finally, this comprehensive and accurate vibration monitoring method helps to achieve early fault warning of the water pump. By real-time monitoring and analyzing the average acceleration, changes in vibration characteristics can be detected in the early stage of the fault, and maintenance measures can be taken in time to avoid the further deterioration of the fault, reduce the maintenance cost and downtime, and improve the operating reliability and service life of the water pump. For example, some minor imbalance problems may only cause slight vibration changes in the early stage, but can be detected in time through this detailed monitoring, so as to be adjusted and repaired before the problem expands.

[0035] S2. Determine whether the water pump is equipped with a shock absorption device. If so, arrange displacement sensors at the connection position between the shock absorption device and the water pump to collect the first displacement data of the water pump; otherwise, obtain the key parts of the water pump and arrange displacement sensors at the key parts to collect the second displacement data of the water pump. Among them, the key parts of the water pump include the pump body shell of the water pump, the connection position of the inlet and outlet pipelines, and the connection position between the motor and the pump body.

[0036] In this embodiment, the purpose of determining whether a shock absorber is installed on the water pump is as follows: Since the key parts to be focused on when monitoring the displacement of a water pump with and without a shock absorber installed are different; for a water pump with a shock absorber installed, monitoring the displacement at the connection position between the shock absorber and the water pump can directly reflect the shock absorption effect; for a water pump without a shock absorber installed, the pump body shell, the connection points of the inlet and outlet pipes, and the connection point between the motor and the pump body are selected for displacement monitoring, and the displacement changes during the overall operation of the water pump can be effectively captured to evaluate whether the water pump has a shock absorption effect. Therefore, whether this step collects the first displacement data or the second displacement data of the water pump provides rich data support for subsequent water pump performance analysis, fault diagnosis, and condition assessment; these data can be combined with other parameters (such as vibration acceleration, noise, etc.) for comprehensive analysis to more accurately judge the health status and shock absorption effect of the water pump.

[0037] Specifically, step S2 specifically includes S21 - S23:

[0038] S21. Determine whether a shock absorber is installed on the water pump. If so, execute step S22; otherwise, execute step S23.

[0039] S22. Obtain the connection points between the shock absorber and the water pump and number them. Displacement sensors are arranged at the connection points between the shock absorber and the water pump with each number, the sampling time is set, and the first displacement data of the water pump is collected.

[0040] In this embodiment, when a shock absorber is installed on the water pump, the connection position between the shock absorber and the water pump is the key to displacement monitoring; because the main function of the shock absorber is to reduce the transmission of the water pump vibration to the foundation or other structures, and the displacement change at the connection position can intuitively reflect the working state of the shock absorber; for example, at the connection point between the spring shock absorber and the water pump, the displacement change can reflect the compression or stretching degree of the spring, and then infer the shock absorption effect; therefore, by arranging displacement sensors at these connection positions and collecting data, the displacement information of the water pump under the action of the shock absorber can be obtained, providing direct data support for evaluating the shock absorption performance.

[0041] S23. Obtain the key parts of the water pump including the pump body shell, the connection points of the inlet and outlet pipes, and the connection point between the motor and the pump body, and arrange displacement sensors at each key part to collect the second displacement data of the water pump.

[0042] In this embodiment, for a water pump without a shock absorber, the pump housing is the comprehensive reflection position of the overall vibration displacement of the water pump; the displacement change of the pump housing can reflect the operating state of the internal components of the water pump (such as the impeller, shaft, etc.). For example, the imbalance of the impeller may cause periodic displacement changes in the pump housing. At the same time, the displacement monitoring at the connection of the inlet and outlet pipes is also very important; during the operation of the water pump, the fluid pressure changes in the inlet and outlet pipes and the vibration of the water pump itself will exert forces on the pipes, resulting in displacement at the connection between the pipes and the pump body; the magnitude and change of this displacement can help judge the reliability of the connection between the pipes and the water pump, as well as whether there is a risk of pipe damage or leakage caused by vibration. In addition, the displacement monitoring at the connection between the motor and the pump body mainly considers the influence of the vibration generated during the operation of the motor on the pump body, and whether the vibration of the pump body reacts on the motor, thus affecting key parameters such as the coaxiality of the motor-pump body connection; therefore, by monitoring the displacement here, connection problems between the motor and the pump body, such as looseness, misalignment, etc., can also be detected in a timely manner.

[0043] S3. After filtering the first displacement data of the water pump or the second displacement data of the water pump, calculate the average value to obtain the first average displacement of the water pump or the second average displacement of the water pump.

[0044] In this embodiment, the purpose of the filtering process is as follows: In the actual environment, the data collected by the displacement sensor is often affected by various interference factors. These interferences may come from the vibration of the surrounding environment (such as the vibration of other equipment, the movement of personnel, etc.), electromagnetic interference, the noise of the sensor itself, etc. Therefore, through filtering, the interference signals can be removed, and the effective signals that truly reflect the displacement change of the water pump can be extracted; for example, a low-pass filter can be used to remove high-frequency noise and only allow signals below a certain cut-off frequency to pass through. This cut-off frequency is usually determined according to the frequency range of the displacement change during the normal operation of the water pump. Therefore, through the filtering process, the subsequent data can more accurately reflect the displacement characteristics of the water pump and improve the reliability of data analysis. In addition, the displacement data may fluctuate in the time series due to various dynamic factors during the operation of the water pump. Therefore, calculating the average value is to extract a representative value from these fluctuating data to describe the average displacement state of the water pump over a period of time; for the first displacement data of the water pump (in the case of having a shock absorber), the average displacement can reflect the average displacement level of the connection position of the water pump under the action of the shock absorber, so as to evaluate whether the shock absorber keeps the water pump in a relatively stable position on average; for the second displacement data (in the case of no shock absorber), the average displacement can reflect the average displacement degree of the key parts of the water pump during normal operation. For example, the average displacement of the pump housing can help judge whether the overall water pump has a large deviation trend, and the average displacements at the connections of the inlet and outlet pipes and between the motor and the pump body can be used to evaluate the long-term stability of these key parts.

[0045] Specifically, step S3 specifically includes S31 - S32:

[0046] S31. Use a low - pass filter processor to filter the first displacement data of the water pump or the second displacement data of the water pump, obtaining the filtered first displacement data or the filtered second displacement data;

[0047] Among them, the low - pass filter processor is a Butterworth low - pass filter, and the filter transfer function of the Butterworth low - pass filter is designed as:

[0048]

[0049] Among them, represents the filter transfer function of the Butterworth low - pass filter, represents the Laplace quantity, represents the imaginary part, that is, the angular frequency, represents the real part, represents the total order of the filter, represents the order of the filter, represents the cut - off frequency, represents the exponential function, represents the imaginary unit.

[0050] In this embodiment, the Butterworth low - pass filter is a commonly used filter, which can effectively attenuate high - frequency signals and retain low - frequency signals, meeting the requirements for filtering displacement data; because in the water pump displacement data, usually more attention is paid to the low - frequency displacement changes (such as displacements caused by the rotation of the water pump, low - frequency vibration, etc.), while high - frequency interferences (such as electrical noise, short - term external impacts, etc.) need to be filtered out.

[0051] S32. Calculate the average value of the filtered first displacement data of the water pump or the filtered second displacement data of the water pump, obtaining the first average displacement of the water pump or the second average displacement of the water pump, that is:

[0052]

[0053] Among them, represents the first average displacement of the water pump or the second average displacement of the water pump, represents the total number of displacement sensors, represents the th time the first displacement value or the second displacement value of the

[0054] S4. Obtain the geometric center of the water pump. At a set threshold distance from the geometric center of the water pump, evenly arrange a number of noise sensors in a circular array, collect the noise sound pressure level data of all the noise sensors, and calculate the average value to obtain the average noise sound pressure level of the water pump.

[0055] In this embodiment, the noise sound pressure level is a physical quantity that fluctuates with time. The sound pressure levels measured by sensors at different times and different positions may vary due to minor changes in the operating state of the water pump and environmental factors (such as air flow, reflection, etc.); therefore, by calculating the average value, a representative value can be extracted from these fluctuating data to describe the average noise level of the water pump over a period of time. This average value can better reflect the overall noise characteristics of the water pump, reducing the influence of local fluctuations and individual sensor position differences on the measurement results. In addition, the calculated average noise sound pressure level can be conveniently compared with industry standards, design requirements, or previous normal operating data; if the average noise sound pressure level exceeds the specified standard range, it may indicate that there is a fault in the water pump or the damping effect of the water pump is poor. This comparison provides an intuitive quantitative indicator for the fault diagnosis and performance evaluation of the water pump, helping to detect and solve problems in a timely manner.

[0056] Specifically, step S4 specifically includes S41 - S42:

[0057] S41. Obtain the geometric center of the water pump. At a set threshold distance from the geometric center of the water pump, evenly arrange P noise sensors in a circular array, set the sampling time, and collect the noise sound pressure level data of all the noise sensors.

[0058] In this embodiment, the purpose of evenly arranging a number of noise sensors in a circular array is as follows: The circular array layout centered on the geometric center of the water pump can collect noise data evenly from multiple directions; since the noise of the water pump spreads in all directions, the circular array can avoid information loss or deviation caused by measuring only from one direction; this layout method is based on the acoustic principle. Assuming that the noise source of the water pump is approximately a point source (which is reasonable to a certain extent, especially for small or simple-structured water pumps), evenly distributing sensors on the circumference centered on the point source can evenly obtain the noise propagation conditions in all directions; in addition, setting the threshold distance from the geometric center of the water pump is to measure at a relatively stable spatial position. If the distance is too close, it may be affected by factors such as the air flow and vibration of the water pump itself, resulting in inaccurate noise measurement; if the distance is too far, it may be overly affected by other surrounding environmental noise sources, masking the noise characteristics of the water pump itself; therefore, choosing an appropriate threshold distance can make the measured noise mainly reflect the noise characteristics of the water pump itself; among them, the set threshold distance selected in the present invention is 2m.

[0059] S42. Calculate the average value of the noise sound pressure level data of all noise sensors to obtain the average noise sound pressure level of the water pump, that is:

[0060]

[0061] Among them, represents the average noise sound pressure level of the water pump, represents the th moment, and

[0062]

[0063]

[0064]

[0065] S5. Based on the average acceleration, average noise sound pressure level, first average displacement or second average displacement of the water pump, establish a comparison index sequence in the actual shock absorption state of the water pump, dimensionlessize it, generate dimensionless index data of the water pump, and calculate the correlation degree of each water pump with the reference index sequence based on the reference index sequence of the water pump in the ideal shock absorption state to obtain the shock absorption effect of the water pump.

[0063] In this embodiment, based on the grey correlation analysis method, by establishing a comparison index sequence and a reference index sequence, the correlation degree between the actual data collected by the water pump and the ideal data is analyzed in the evaluation of the water pump shock absorption effect, so as to judge the quality of the water pump shock absorption effect.

[0064]

[0065] Specifically, step S5 specifically includes S51 - S56:

[0066]

[0067]

[0068] In this embodiment, the reference index sequence represents the ideal state of the water pump shock absorption effect. Among them, the ideal average acceleration index is the average acceleration when the water pump shock absorption effect reaches the best, the ideal average noise sound pressure level index is the sound pressure level when the noise generated by the water pump during operation is in the ideal shock absorption state, and the ideal average displacement index is the average displacement situation of the water pump in the ideal shock absorption state; therefore, the reference index sequence is a benchmark for measuring the actual shock absorption effect of the water pump.

[0069] S52. Based on the average acceleration, average noise sound pressure level, first average displacement or second average displacement of the water pump, establish a comparison index sequence in the actual shock absorption state of the water pump, that is:

[0070]

[0071] Among them, represents the total number of water pumps, represents the comparison index sequence under the actual shock absorption state of the water pumps, represents the th average acceleration index of the th water pump, represents the th average noise sound pressure level index of the th water pump,

[0072] In this embodiment, the comparison index sequence covers the average acceleration, average noise sound pressure level, and first or second average displacement index of each water pump, and is used for comparison with the ideal index.

[0073] S53. Nondimensionalize each index in the comparison index sequence under the actual shock absorption state of the water pumps to obtain the dimensionless index data of the water pumps, that is:

[0074]

[0075] Among them, represents the th index of the th water pump after nondimensionalization, represents the th index of the th water pump in the original state.

[0076] In this embodiment, the purpose of nondimensionalization is to eliminate the influence of different index dimensions and magnitudes, so that each index is comparable for subsequent correlation operations.

[0077] S54. According to the dimensionless index data of the water pumps, calculate the correlation coefficient between the index of each water pump and the corresponding ideal index in the reference index sequence, that is:

[0078]

[0079] Among them, represents the th index of the th water pump and the th corresponding index in the reference index sequence th correlation coefficient, represents the th index of the reference index sequence of the water pump in the ideal shock absorption state th, represents the reference index sequence of the water pump in the ideal shock absorption state The th index and the th index of the dimensionless th water pump, represents the minimum value among all the absolute differences, that is, the minimum absolute difference between all the indexes of all the water pumps and the ideal indexes in the reference index sequence, represents the resolution coefficient,

[0080] In this embodiment, the resolution coefficient functions to adjust the resolution of the correlation coefficient, and generally takes a value of 0 - 1. In this embodiment, the value is 0.5. In addition, the th index of the reference index sequence of the water pump in the ideal shock absorption state and the th index of the dimensionless th water pump also represents the degree of difference between the dimensionless actual index and the ideal index Therefore,

[0081] S55. Based on the correlation coefficient between the index of each water pump and the corresponding ideal index in the reference index sequence, calculate the correlation degree between the water pump and the reference index sequence, that is:

[0082]

[0083] wherein, represents the th correlation degree between the water pump and the reference index sequence.

[0084] In this embodiment, by taking the average value of the correlation coefficients of the three indexes of the water pump, the correlation degree between the water pump and the reference index sequence (ideal index) is obtained, so as to reflect the closeness of the overall performance of the water pump to the ideal shock absorption state.

[0085] S56. Determine whether the correlation degree between the water pump and the reference index sequence is greater than the ideal correlation degree threshold. If so, the shock absorption effect of the water pump is close to the ideal state and the shock absorption effect is good; otherwise, the shock absorption effect of the water pump is far from the ideal state and the shock absorption effect is poor.

[0086] In summary, a water pump shock absorption evaluation method based on multi-data processing first arranges axial and radial acceleration sensors based on the pump shaft position of the water pump, arranges displacement sensors at different positions, and arranges noise sensors in the form of a circular array to collect data from multiple dimensions, comprehensively obtaining the vibration, displacement, and noise information of the water pump, forming an all-round monitoring of the operating state of the water pump, avoiding the one-sidedness of single-sensor data, and providing a richer information basis for the health state evaluation of the water pump; secondly, integrating these data can reflect the overall state of the water pump during operation, including the vibration situation, displacement change, and generated noise level of the water pump, helping to discover various problems that may exist during the operation of the water pump; finally, based on the various data collected, gray correlation analysis is carried out. By establishing a comparison index sequence and a reference index sequence, the correlation degree between the actual data collected by the water pump and the ideal data in the evaluation of the water pump shock absorption effect is analyzed, so as to judge the quality of the water pump shock absorption effect, avoiding the limitations brought by single-index evaluation, evaluating the water pump shock absorption effect as a whole, improving the accuracy of the water pump shock absorption evaluation, and being able to give early warnings of potential problems. For example, when it is monitored that the correlation degree continuously decreases or is lower than the ideal correlation degree threshold, an early warning can be sent in advance to prompt the maintenance personnel to check and repair the water pump, reducing the possibility of sudden equipment failures, ensuring the normal operation of the entire system, and reducing maintenance costs and downtime losses.

[0087] In the present invention, specific embodiments are used to elaborate the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation of the present invention.

[0088] Those of ordinary skill in the art will realize that the embodiments described here are for helping readers understand the principle of the present invention, and it should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific deformations and combinations that do not depart from the essence of the present invention according to the technical revelations disclosed in the present invention, and these deformations and combinations are still within the protection scope of the present invention.

Claims

1. A water pump vibration reduction evaluation method based on multi-data processing, characterized in that: The following steps are involved: S1. Based on the pump shaft position of the water pump, axial and radial acceleration sensors are evenly arranged, and the axial and radial acceleration sensors are collected and the average value is calculated to obtain the average acceleration of the water pump; S2, determining whether the water pump is equipped with a shock absorbing device, if so, arranging a displacement sensor at the connection position between the shock absorbing device and the water pump to collect first displacement data of the water pump, otherwise, obtaining key parts of the water pump, arranging a displacement sensor at the key parts, and collecting second displacement data of the water pump; Among them, the key parts of the water pump include the pump body shell, the inlet and outlet pipe connections, and the connection between the motor and the pump body; S3, filtering the first displacement data of the water pump or the second displacement data of the water pump and calculating the average value to obtain the first average displacement of the water pump or the second average displacement of the water pump; S4. Obtain the geometric center of the water pump, evenly arrange a number of noise sensors in a circular array at a set threshold distance from the geometric center of the water pump, collect the noise sound pressure level data of all noise sensors and calculate the average value to obtain the average noise sound pressure level of the water pump, specifically: S41, obtaining the geometric center of the water pump, evenly arranging P noise sensors in a circular array at a set threshold distance from the geometric center of the water pump, setting a sampling time, and collecting noise sound pressure level data of all noise sensors; S42, calculate the average value of the noise sound pressure level data of all noise sensors to obtain the average noise sound pressure level of the water pump, that is: in, Indicates the average noise sound pressure level of the pump. Indicates Moment The noise sound pressure level value of each noise sensor; S5. Based on the average acceleration, average noise sound pressure level, first average displacement or second average displacement of the water pump, a comparative index series under the actual shock absorption state of the water pump is established and dimensionless, and dimensionless index data of the water pump is generated. Based on the reference index series of the water pump under the ideal shock absorption state, the correlation between each water pump and the reference index series is calculated to obtain the shock absorption effect of the water pump.

2. The water pump vibration reduction evaluation method based on multi-data processing according to claim 1 is characterized in that: Step S1 specifically includes: S11. Take the pump shaft of the water pump as the axial reference line, select m points at equal distances on the pump shaft, use each point as a vertical point, draw a vertical line from the vertical point to the pump housing, obtain the intersection of the vertical line and the pump housing, draw a circle with the distance from the vertical point to the corresponding intersection as the radius, generate m circles, and evenly select n1 endpoints on the m circles to generate m*n1 endpoints, and arrange axial acceleration sensors on the m*n1 endpoints; S12, set the sampling time, use m*n1 axial acceleration sensors to collect axial acceleration and calculate the average value, and obtain the average acceleration of the axial acceleration sensor, that is: in, represents the average acceleration of the axial acceleration sensor, represents the sampling time, Indicates Moment The axial acceleration value collected by an axial acceleration vibration sensor; S13, obtain the center point of the pump shaft, construct a vertical plane passing through the center point and perpendicular to the pump shaft, the vertical plane extends to the pump body shell, select any point on the vertical plane and connect the center point to take it as the maximum radius, uniformly select k points on the maximum radius, draw a circle with the radius from the center point to the k point, generate k circles, uniformly select n2 points on the k circles, generate k*n2 endpoints, and arrange radial acceleration sensors on the k*n2 endpoints; S14, set the sampling time, use k*n2 radial acceleration sensors to collect radial acceleration and calculate the average value to obtain the average acceleration of the radial acceleration sensor, that is: in, represents the average acceleration of the radial acceleration sensor, Indicates Moment The radial acceleration value collected by a radial acceleration sensor; S15. According to the average acceleration of the axial acceleration sensor and the average acceleration of the radial acceleration sensor, the average acceleration of the water pump is obtained, that is: in, Represents the average acceleration of the pump.

3. The water pump vibration reduction evaluation method based on multi-data processing according to claim 2 is characterized in that: Step S2 specifically includes: S21, determining whether the water pump is equipped with a shock absorbing device, if so, executing step S22, otherwise, executing step S23; S22, obtaining and numbering the connection points between the shock absorbing device and the water pump, placing a displacement sensor at each numbered connection point between the shock absorbing device and the water pump, setting a sampling time, and collecting first displacement data of the water pump; S23, obtaining key parts of the water pump including the pump body casing, the inlet and outlet pipe connections, and the connection between the motor and the pump body, and arranging displacement sensors at each key part to collect second displacement data of the water pump.

4. The water pump vibration reduction evaluation method based on multi-data processing according to claim 3 is characterized in that: Step S3 specifically includes: S31, using a low-pass filter processor to filter the first displacement data of the water pump or the second displacement data of the water pump to obtain filtered first displacement data or filtered second displacement data; Among them, the low-pass filter processor is a Butterworth low-pass filter, and the filter transfer function of the Butterworth low-pass filter is designed as: in, represents the filter transfer function of the Butterworth low-pass filter, represents the Laplace quantity, represents the imaginary part, i.e. the angular frequency, represents the real part, represents the total filter order, represents the filter order, represents the cut-off frequency, represents the exponential function, represents an imaginary unit; S32, calculating the average value of the first displacement data of the water pump after filtering or the second displacement data of the water pump after filtering, to obtain the first average displacement of the water pump or the second average displacement of the water pump, that is: in, represents the first mean displacement of the water pump or the second mean displacement of the water pump, represents the total number of displacement sensors, Indicates Moment The first displacement value or the second displacement value of a displacement sensor.

5. The water pump vibration reduction evaluation method based on multi-data processing according to claim 4 is characterized in that: Step S5 specifically includes: S51. Establish a reference index series of the water pump under the ideal shock absorption state, namely: in, It represents the reference index series of the water pump under the ideal shock absorption state. Represents the ideal average acceleration index, Indicates the ideal average noise sound pressure level index. Represents the ideal average displacement index; S52. Based on the average acceleration, average noise sound pressure level, first average displacement or second average displacement of the water pump, a comparison index series under the actual shock absorption state of the water pump is established, namely: in, Indicates the total number of pumps, It represents the comparison index series under the actual shock absorption state of the water pump. Indicates The average acceleration index of each pump, Indicates The average noise sound pressure level index of each water pump is: Indicates a first average displacement index or a second average displacement index of a water pump; S53, each index in the comparison index series under the actual shock absorption state of the water pump is dimensionless to obtain dimensionless index data of the water pump, namely: in, Represents the dimensionless The first pump indicators, Represents the original The first pump indicators; S54. According to the dimensionless index data of the water pump, the correlation coefficient between the index of each water pump and the corresponding ideal index in the reference index series is calculated, that is: in, Indicates The first pump Index and reference index series The corresponding The correlation coefficient of the indicators, The reference index series representing the ideal shock-absorbing state of the water pump No. indicators, The reference index series representing the ideal shock-absorbing state of the water pump No. Indicators With dimensionless The first pump Indicators The absolute difference of It represents the minimum value among all absolute differences, that is, the minimum absolute difference between all indicators of all pumps and the ideal indicators in the reference indicator series. represents the resolution coefficient, It represents the maximum value among all absolute differences, that is, the maximum absolute difference between all indicators of all water pumps and the ideal indicators in the reference indicator series; S55. Based on the correlation coefficient between the index of each water pump and the corresponding ideal index in the reference index series, the correlation degree between the water pump and the reference index series is calculated, that is: in, Indicates The correlation between each pump and the reference index series; S56. Determine whether the correlation between the water pump and the reference index series is greater than the ideal correlation threshold. If so, the shock absorption effect of the water pump is close to the ideal state and the shock absorption effect is good. Otherwise, the shock absorption effect of the water pump is far from the ideal state and the shock absorption effect is poor.

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