Water pump damping evaluation method based on multi-data processing

Abstract

The invention relates to the technical field of water pump damping, and discloses a water pump damping evaluation method based on multi-data processing, which comprises the following steps: acquiring axial and radial accelerations of a water pump and calculating an average value; whether a damping device is installed on the water pump or not is judged, if yes, a displacement sensor is arranged at the connecting position of the damping device and the water pump, and first displacement data are collected, and if not, key parts of the water pump are obtained, a displacement sensor is arranged, and second displacement data are collected; filtering the displacement data and calculating an average value; the geometric center of the water pump is obtained, a plurality of noise sensors are evenly distributed at the position away from the geometric center of the water pump by a set threshold distance in an annular array mode, noise pressure level data are collected, and an average value is calculated; establishing a comparison index sequence under the actual damping state of the water pump, performing dimensionless operation, calculating the correlation degree between the water pump and the reference index sequence under the ideal damping state of the water pump, and obtaining the damping effect of the water pump; according to the method, the accuracy and comprehensiveness of the water pump damping effect evaluation result are improved.

Description

Technical Field

[0001] The invention relates to the technical field of water pump vibration reduction, and in particular to a water pump vibration reduction evaluation method based on multi-data processing. Background Art

[0002] During the operation of the water pump, vibration and noise are often generated due to the flow of internal liquid, friction of the mechanical structure and the drive of the motor; these vibrations and noise will not only affect the operating efficiency of the equipment, but may also pollute the surrounding environment and even cause damage to the equipment. Therefore, in order to solve this problem, modern water pumps are usually equipped with shock-absorbing devices or designed with shock-absorbing effects to achieve the effect of shock absorption and noise reduction, such as: installing natural rubber shock-absorbing connectors on water pumps, which have excellent elasticity and damping characteristics, can absorb and disperse vibration energy well, thereby effectively reducing the vibration and noise of water pumps during operation; or installing damping spring shock absorbers, such as MC-350, SHA type adjustable spring shock absorbers, etc., which use damping materials combined with high-strength springs to form a double 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 noise; Although designing water pumps with shock absorption effects or installing shock absorption devices on water pumps improves the running stability and service life of water pumps, most of them are analyzed based on single data, and cannot comprehensively consider the influence of multiple factors on the shock absorption effect of water pumps, resulting in inaccurate and incomplete evaluation results of water pump shock absorption, and cannot provide an effective basis for optimizing the shock absorption effect of water pumps. Summary of the invention

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

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is: A water pump vibration reduction evaluation method based on multi-data processing comprises the following steps: 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 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; 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.

[0005] The present invention has the following beneficial effects: 1. The present invention proposes a water pump vibration reduction assessment method based on multi-data processing. Based on the position of the water pump shaft, acceleration sensors are arranged axially and radially, displacement sensors are arranged at different positions, and noise sensors are arranged in a ring array. Data is collected from multiple dimensions to fully obtain the vibration, displacement and noise information of the water pump, forming an all-round monitoring of the water pump operation status, avoiding the one-sidedness of a single sensor data, and providing a richer information basis for the health status assessment of the water pump; and these data are combined to reflect the overall status of the water pump during operation, including the vibration of the water pump, displacement changes and noise levels generated, which is helpful to discover various problems that may exist in the operation of the water pump and improve the accuracy and comprehensiveness of the water pump vibration reduction assessment results; 2. Carry out grey correlation analysis on the various data collected. By establishing comparison index series and reference index series, the correlation 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, avoid the limitations brought by the single indicator evaluation, evaluate the shock absorption effect of the water pump as a whole, and improve the accuracy of the water pump shock absorption evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 The figure is a flow chart of a water pump vibration reduction evaluation method based on multi-data processing proposed by the present invention. DETAILED DESCRIPTION

[0007] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0008] like Figure 1 As shown, a water pump vibration reduction evaluation method based on multi-data processing includes the following steps S1-S5: 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.

[0009] In this embodiment, the purpose of calculating the average value is to use the average value to reflect the overall axial or radial vibration level of the water pump within a certain sampling time, thereby avoiding the complexity of directly processing a large amount of raw data and eliminating the influence of these random errors to a certain extent, so that the obtained data is more stable and reliable, and can better reflect the actual situation of the water pump vibration.

[0010] Specifically, step S1 includes S11-S15: 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 casing, obtain the intersection of the vertical line and the pump casing, 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.

[0011] 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:

[0012] 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.

[0013] In this embodiment, the pump shaft is used as the axial reference line, and an axial acceleration sensor is arranged on the pump casing. The purpose is: because the pump shaft is the main rotating component of the water pump, its axial vibration can reflect the operating status of the water pump in the axial direction and possible problems, such as axial movement and imbalance. Therefore, by arranging sensors at multiple axial positions, the vibration information of the pump casing at different axial points can be captured, avoiding local errors or omissions of important vibration characteristics that may be caused by single-point measurement.

[0014] S13. Get 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 to 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.

[0015] 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:

[0016] in, represents the average acceleration of the radial acceleration sensor, Indicates Moment The radial acceleration value collected by the radial acceleration sensor.

[0017] In this embodiment, radial acceleration sensors are arranged on the vertical plane from the center point of the pump shaft to the pump body shell. The purpose is to measure the vibration of the water pump in the direction perpendicular to the pump shaft (i.e., radial direction). Since radial vibration is usually closely related to the imbalance, misalignment, bearing failure and other problems of the rotating parts of the water pump, by evenly arranging sensors on the vertical plane, the vibration of the pump body in all radial directions can be fully monitored, thereby more accurately diagnosing the type and degree of water pump failure.

[0018] 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:

[0019] in, Represents the average acceleration of the pump.

[0020] In summary, this step measures acceleration in the axial and radial directions respectively, and calculates the average value, comprehensively evaluating the vibration state of the water pump from different directions; it can not only detect whether there is an overall vibration abnormality in the operation of the water pump, but also further analyze the possible causes of the fault based on the difference between the axial and radial vibrations. For example, if the axial acceleration is large, it may indicate that the pump shaft has axial movement or thrust bearing problems; while if the radial acceleration is large, it may be related to impeller imbalance, pump shaft bending or bearing wear. This multi-directional monitoring can provide richer information and help to more accurately judge the operating status and potential problems of the water pump. In addition, the deployment of multiple sensors and the calculation of average values ​​can effectively reduce the impact of measurement errors and local interference that may occur in a single sensor, and improve the reliability and accuracy of the data. At the same time, the weighted average method comprehensively considers the axial and radial vibration information, so that the final average acceleration of the water pump can 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 locate problems more accurately, take targeted maintenance measures, and improve maintenance efficiency and quality. Finally, this comprehensive and accurate vibration monitoring method helps to achieve early fault warning of water pumps. Through real-time monitoring and analysis of average acceleration, changes in vibration characteristics can be detected in the early stages of a fault, and maintenance measures can be taken in time to avoid further deterioration of the fault, reduce maintenance costs 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 stages, but through this detailed monitoring, they can be detected in time, so that adjustments and repairs can be made before the problem expands.

[0021] S2. Determine whether the water pump is equipped with a shock absorbing device. If so, place a displacement sensor at the connection position between the shock absorbing 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 place a displacement sensor at the key parts to collect the second displacement data of the water pump. The key parts of the water pump include the pump body casing, the inlet and outlet pipe connections, and the connection between the motor and the pump body.

[0022] In this embodiment, the purpose of judging whether the water pump is equipped with a shock absorbing device is: because the water pumps with and without shock absorbing devices have different focus points when monitoring displacement; for water pumps with shock absorbing devices installed, focusing on the displacement of the connection position between the shock absorbing device and the water pump can directly reflect the vibration reduction effect; for water pumps without shock absorbing devices installed, the displacement monitoring of key parts such as the pump housing, the connection between the inlet and outlet pipes, and the connection between the motor and the pump body can effectively capture the displacement changes during the overall operation of the water pump to evaluate whether the water pump has a shock reduction effect. Therefore, this step, whether it is collecting the first displacement data of the water pump or the second displacement data of the water pump, provides rich data support for subsequent water pump performance analysis, fault diagnosis and status evaluation; these data can be combined with other parameters (such as vibration acceleration, noise, etc.) for comprehensive analysis, so as to more accurately judge the health status and shock reduction effect of the water pump.

[0023] Specifically, step S2 specifically includes S21-S23: S21, determine whether the water pump is equipped with a shock absorbing device, if so, execute step S22, otherwise, execute step S23.

[0024] 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.

[0025] In this embodiment, when the water pump is installed with a shock absorbing device, the connection position between the shock absorbing device and the water pump is the key to displacement monitoring; because the main function of the shock absorbing device is to reduce the transmission of the water pump vibration to the foundation or other structures, and the displacement change of the connection position can intuitively reflect the working state of the shock absorbing device; for example, at the connection point between the spring shock absorber and the water pump, the displacement change can reflect the degree of compression or stretching of the spring, and then infer the shock absorbing 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 absorbing device can be obtained, providing direct data support for evaluating the shock absorbing performance.

[0026] 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.

[0027] In this embodiment, for a water pump without a shock absorbing device installed, the pump housing is the comprehensive embodiment of the overall vibration displacement of the water pump; the displacement change of the pump housing can reflect the operating status of the internal components of the water pump (such as the impeller, shaft, etc.), for example, the imbalance of the impeller may cause the pump housing to produce periodic displacement changes, etc. At the same time, the displacement monitoring of the inlet and outlet pipe connection 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 force on the pipe, resulting in displacement at the connection between the pipe and the pump body; the size and change of this displacement can help determine the reliability of the connection between the pipe and the water pump, and whether there is a risk of pipe damage or leakage caused by vibration. In addition, the displacement monitoring of the connection between the motor and the pump body mainly considers the impact of the vibration generated by the motor during operation on the pump body, and whether the vibration of the pump body reacts to the motor, thereby affecting the key parameters such as the coaxiality of the motor-pump body connection; therefore, by monitoring the displacement here, it is also possible to promptly discover the connection problems between the motor and the pump body, such as looseness and misalignment.

[0028] S3. Filter the first displacement data of the water pump or the second displacement data of the water pump and calculate the average value to obtain the first average displacement of the water pump or the second average displacement of the water pump.

[0029] In this embodiment, the purpose of filtering is: in the actual environment, the data collected by the displacement sensor is often affected by various interference factors, which may come from the vibration of the surrounding environment (such as vibration of other equipment, movement of people, etc.), electromagnetic interference, noise of the sensor itself, etc., so filtering can remove interference signals and extract effective signals that truly reflect the displacement change of the water pump; for example, a low-pass filter can be used to remove high-frequency noise and only allow signals below a certain cutoff frequency to pass. This cutoff frequency is usually determined according to the frequency range of displacement changes when the water pump is operating normally. Therefore, through filtering, 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, so the average value is calculated in order 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 a shock absorber), the average displacement can reflect the average displacement level of the water pump connection position under the action of the shock absorber, thereby evaluating whether the shock absorber keeps the water pump in a relatively stable position on average; and 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 casing can help determine whether the water pump as a whole has a large deviation trend, and the average displacement of the inlet and outlet pipe connections and the connection between the motor and the pump body can be used to evaluate the long-term stability of these key parts.

[0030] Specifically, step S3 specifically includes S31-S32: 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:

[0031] 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.

[0032] In this embodiment, the Butterworth low-pass filter is a commonly used filter that can effectively attenuate high-frequency signals and retain low-frequency signals, meeting the needs of displacement data filtering; because in the water pump displacement data, more attention is usually paid to low-frequency displacement changes (such as displacement caused by the rotation of the water pump, low-frequency vibration, etc.), while high-frequency interference (such as electrical noise, short-term external shocks, etc.) needs to be filtered out.

[0033] 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:

[0034] 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.

[0035] 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.

[0036] In this embodiment, the noise sound pressure level is a physical quantity that fluctuates over time. The sound pressure levels measured by sensors at different times and locations may vary due to slight changes in the operating state of the water pump and environmental factors (such as airflow, 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 and reduce the impact of local fluctuations and differences in the position of individual sensors on the measurement results. In addition, the calculated average noise sound pressure level can be easily 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 the water pump is faulty or the water pump has poor shock absorption. This comparison provides an intuitive quantitative indicator for fault diagnosis and performance evaluation of the water pump, which helps to discover and solve problems in a timely manner.

[0037] Specifically, step S4 includes S41-S42: S41. Obtain the geometric center of the water pump, evenly arrange P noise sensors in a circular array at a set threshold distance from the geometric center of the water pump, set a sampling time, and collect noise sound pressure level data of all noise sensors.

[0038] In this embodiment, the purpose of arranging a number of noise sensors at equal distances in a circular array is that the circular array arrangement with the geometric center of the water pump as the center can uniformly collect noise data from multiple directions; since the noise of the water pump propagates in all directions, the circular array can avoid information loss or deviation caused by measuring only from one direction; this layout is based on the acoustic principle, assuming that the noise source of the water pump is approximately a point source (reasonable to a certain extent, especially for small or simple structure water pumps), and evenly distributing sensors on the circumference with the point source as the center can evenly obtain the noise propagation situation in all directions; in addition, the threshold distance from the geometric center of the water pump is set to measure at a relatively stable spatial position. If the distance is too close, it may be disturbed by factors such as airflow and vibration of the water pump itself, resulting in inaccurate noise measurement; if the distance is too far, it may be excessively affected by other ambient noise sources around, covering up the noise characteristics of the water pump itself; therefore, selecting a suitable threshold distance can make the measured noise mainly reflect the noise characteristics of the water pump itself; among them, the threshold distance selected in the present invention is set to 2m.

[0039] 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:

[0040] in, Indicates the average noise sound pressure level of the pump. Indicates Moment The noise sound pressure level value of each noise sensor.

[0041] 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.

[0042] In this embodiment, based on the grey correlation analysis method, by establishing a comparison index series and a reference index series, 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.

[0043] Specifically, step S5 specifically includes S51-S56: S51. Establish a reference index series of the water pump under the ideal shock absorption state, namely:

[0044] 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.

[0045] In this embodiment, the reference index series represents the ideal state of the water pump shock absorption effect, wherein 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 of the noise generated when the water pump is running in the ideal shock absorption state, and the ideal average displacement index is the average displacement of the water pump under the ideal shock absorption state; therefore, the reference index series is a benchmark for measuring the actual shock absorption effect of the water pump.

[0046] 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:

[0047] 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 The first average displacement index or the second average displacement index of each water pump.

[0048] In this embodiment, the comparison index series covers the average acceleration, average noise sound pressure level and first or second average displacement index of each water pump, which are used for comparison with the ideal index.

[0049] 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:

[0050] in, Represents the dimensionless The first pump indicators, Represents the original The first pump indicators.

[0051] In this embodiment, the purpose of dimensionless conversion is to eliminate the influence of different indicator dimensions and orders of magnitude, so that each indicator is comparable to facilitate subsequent correlation operations.

[0052] 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:

[0053] 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.

[0054] In this embodiment, the resolution coefficient The function of is to adjust the resolution of the correlation coefficient, which is generally set to 0-1, and in this embodiment is set to 0.5. In addition, the reference index series of the water pump under the ideal shock absorption state is No. Indicators With dimensionless The first pump Indicators The absolute difference between With ideal indicators The degree of difference, therefore Represents all pumps and all indicators. The minimum absolute value of represents the overall minimum difference, that is, the optimal closeness of the pump to the ideal index. Represents all pumps and all indicators. The maximum absolute value indicates the overall maximum difference, that is, the maximum deviation of the pump from the ideal index.

[0055] 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:

[0056] in, Indicates The correlation between a water pump and the reference indicator series.

[0057] In this embodiment, by taking the average value of the correlation coefficients of the three indicators of the water pump, the correlation degree between the water pump and the reference indicator series (ideal indicator) is obtained, thereby reflecting the degree of proximity of the overall performance of the water pump to the ideal shock absorption state.

[0058] 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.

[0059] In summary, a water pump vibration reduction evaluation method based on multi-data processing first arranges axial and radial acceleration sensors based on the pump shaft position, arranges displacement sensors at different positions, and arranges noise sensors in the form of a ring array, collects data from multiple dimensions, and comprehensively obtains the vibration, displacement and noise information of the water pump, forms an all-round monitoring of the water pump operation status, avoids the one-sidedness of a single sensor data, and provides a richer information basis for the health status evaluation of the water pump; secondly, combining these data can reflect the overall status of the water pump during operation, including the vibration of the water pump, displacement changes, and the noise level generated, which is helpful to discover various problems that may exist during the operation of the water pump. Finally, grey correlation analysis is performed based on the various data collected. By establishing comparison indicator series and reference indicator series, the correlation between the actual data collected by the water pump and the ideal data in the water pump shock absorption effect evaluation is analyzed, so as to judge the quality of the water pump shock absorption effect, avoid the limitations brought by a single indicator evaluation, evaluate the shock absorption effect of the water pump as a whole, improve the accuracy of the water pump shock absorption evaluation, and provide early warning of potential problems. For example, when it is monitored that the correlation continues to decline or is lower than the ideal correlation threshold, an early warning can be issued to prompt maintenance personnel to inspect and repair the water pump, reduce the possibility of sudden equipment failures, ensure the normal operation of the entire system, and reduce maintenance costs and downtime losses.

[0060] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0061] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations 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 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; 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 S4 specifically includes: 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.

6. The water pump vibration reduction evaluation method based on multi-data processing according to claim 5 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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