Method for measuring coordinate angle of impeller part of large vane pump

Abstract

A coordinate angle measuring method for an impeller part of a large vane pump comprises the following steps that a measuring instrument and multiple types of sensors are adopted to collect coordinate parameters and size parameters of an impeller assembly, the coordinate parameters comprise angle parameters and position parameters, and the size parameters comprise height parameters and length parameters; building a data space model, and setting data analysis and processing conditions to analyze and process the acquired coordinate parameters and size parameters; denoising processing is performed on the acquired coordinate parameters and size parameters through a filtering estimation assembly, and data with overlarge errors are screened out; for the data left after screening, referring to a plurality of influence indexes, and adopting an iterative operation mode to evaluate and verify the data; and collecting iterative operation results, and verifying corresponding regression through a binary deviation function so as to obtain coordinate parameters and size parameters of the impeller assembly with high precision.

Description

TECHNICAL FIELD

[0001] The present application relates to a large vane pump impeller component coordinate angle measurement method. BACKGROUND

[0002] The vane pump is the most widely used pump type in large water pumps. The water pump impeller component, as the core component, is driven to rotate by the pump shaft, converts the mechanical energy of the prime mover into water kinetic energy, and is the most important and precise component in the water pump, which determines the efficiency and stability of the water pump.

[0003] Due to the structural characteristics and operating characteristics of the impeller component, the wear of the impeller blades caused by the silt in the pumped water, corrosion in underwater and humid environments, and pump cavitation will cause the impeller diameter to decrease, the blade surface to be eroded to perforation or rupture, and the overall maintenance cost to be too high. The existing common maintenance method is to restore the size by stainless steel overlaying of the blades. The overlaying repair sites are usually the outer circle of the blades and the blade surface. It is difficult to control the repair amount and whether to restore the original size during grinding of the two types of sites. The manufacturer can only check the size on the relevant machining machine tool during processing. If the blade diameter cannot be restored, the pumping capacity will decrease. If the profile lines of the blades are inconsistent and the outer diameters are different, the water volume will fluctuate in size at each orientation on the circumference during operation, causing hydraulic imbalance and pump vibration, thereby seriously affecting the performance of the water pump. SUMMARY

[0004] The embodiment of the present application provides a large vane pump impeller component coordinate angle measurement method. The method is reasonable in design, based on multiple types of detection components, combined with specific operation methods and mathematical formulas, can accurately measure and obtain the coordinate parameters and size parameters of the impeller component, analyzes and processes the obtained multiple data in the form of building a data space model, and then iteratively predicts and corrects, finally obtains measurement data with higher accuracy, reduces the overall maintenance cost, avoids the vibration phenomenon of the water pump, thereby ensures the efficiency and stability of the water pump operation, and solves the problems in the prior art.

[0005] The technical scheme adopted by the present application to solve the above technical problems is: The large vane pump impeller component coordinate angle measurement method comprises the following steps: S1, a measuring instrument and multiple types of sensors are used to collect coordinate parameters and size parameters of the impeller component, the coordinate parameters include angle parameters and position parameters, and the size parameters include height parameters and length parameters; S2, a data space model is built, and data analysis and processing conditions are set to analyze and process the collected coordinate parameters and size parameters; S3, the collected coordinate parameters and size parameters are denoised by a filtering estimation component to screen out data with too large errors. S4, for the data left after screening, referring to multiple impact indicators, using iterative operation to evaluate and verify; S5, the iteration operation results are collected, and the corresponding regression is verified by a binary deviation function to obtain the coordinate parameters and size parameters of the impeller assembly with high precision.

[0006] The angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t) are classified and collected, and upper and lower threshold values are set as data analysis processing conditions to obtain an impeller component measurement matrix A(t).

[0007] The data space model is:

[0008] Wherein, G array is a membership matrix for sorting the angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t) according to the membership parameter; t is the time node corresponding to the collected data, which is generally in units of s.

[0009] The calculation formula of the filtering estimation component is divided into a correction part and an execution part; The correction part is:

[0010] The execution part is:

[0011] Wherein, K(k) is the Kalman filter gain, I is the unit matrix, P(k) is the state covariance matrix, ^ represents the correction value, the superscript T represents the transpose of the matrix, and the superscript - and the superscript + represent the increase and decrease of the correction value, respectively.

[0012] The multiple impact indicators include environmental indicators, water quantity change indicators, stress indicators and error indicators, which can be integrated into the iterative algorithm; The calculation formula of the iterative algorithm is: Wherein, m is the total number of iterations, n is the current iteration number, S0 is the iteration parameter standard value, B is the impact indicator matrix, and A0 is the impeller component measurement matrix standard value; the impeller component measurement matrix A is iterated multiple times to obtain more accurate coordinate parameters and size parameters.

[0013] The binary deviation function is: δ(F(A n ))= Q(A0, A n| s - e | + (1 - Q (A0, A n )) | s - 0 | Wherein, s is the correction value of impeller component measurement matrix, e is natural logarithm, Q (A0, A n ) is the decision function with the value range (1, 2), to determine the relative deviation relationship between the standard value of impeller component measurement matrix and real-time iteration operation, thereby checking the result of iteration operation, and theta is convolution reference model.

[0014] Through the calculation result of binary deviation function, the coordinate parameters and size parameters of the impeller component with higher accuracy are obtained by referring to the iteration number.

[0015] The application adopts the above structure, adopts the measuring instrument and the multiple type sensor to collect the coordinate parameter and the size parameter of the impeller assembly;Through building the data space model, setting the data analysis processing condition to analyze and process the coordinate parameter and the size parameter collected and acquired;Through the filtering estimation component, the coordinate parameter and the size parameter collected are denoised, and the data with too large error is screened out;The screened data is evaluated and verified through the iteration operation mode, the corresponding regression is verified through the iteration operation result, and the coordinate parameter and the size parameter of the impeller assembly with high accuracy are obtained, which has the advantages of stable and efficient, accurate and reliable. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is the flowchart of the application. DETAILED DESCRIPTION

[0017] In order to clearly illustrate the technical features of the present application, the application will be described in detail below with specific embodiments, and combined with the drawings.

[0018] As shown in the Figure 1 Large blade pump impeller component coordinate angle measurement method, the measurement method comprises the following steps: S1, the measuring instrument and the multiple type sensor are used to collect the coordinate parameter and the size parameter of the impeller assembly, the coordinate parameter includes angle parameter and position parameter, and the size parameter includes height parameter and length parameter; S2, the data space model is built, and the data analysis processing condition is set to analyze and process the coordinate parameter and the size parameter collected and acquired; S3, the coordinate parameter and the size parameter collected are denoised through the filtering estimation component, and the data with too large error is screened out; S4, for the data left after screening, referring to multiple influence indexes, the iteration operation mode is used to evaluate and verify it; S5, the iteration operation result is collected, the corresponding regression is verified through the binary deviation function, and the coordinate parameter and size parameter of the impeller assembly with high precision are obtained.

[0019] The angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t) are classified and collected, and upper and lower threshold values are set as data analysis processing conditions to obtain an impeller component measurement matrix A(t).

[0020] The data space model is:

[0021] Wherein, G array is a membership matrix, which is used to sort the angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t) according to the membership parameter; t is the time node corresponding to the collected data, which is generally in units of s.

[0022] The calculation formula of the filter estimation component is divided into a correction part and an execution part; The correction part is:

[0023] The execution part is:

[0024] Wherein, K(k) is the Kalman filter gain, I is the unit matrix, P(k) is the state covariance matrix, ^ represents the correction value, the superscript T represents the transpose of the matrix, and the superscript - and the superscript + represent the increase and decrease of the correction value respectively.

[0025] The multiple influence indicators include environmental indicators, water quantity change indicators, stress indicators and error indicators, which can be integrated into the iteration algorithm; The calculation formula of the iteration algorithm is:

[0026] Wherein, m is the total number of iterations, n is the current iteration number, S0 is the iteration parameter standard value, B is the influence indicator matrix, A0 is the impeller component measurement matrix standard value; the impeller component measurement matrix A is iterated multiple times to obtain more accurate coordinate parameters and size parameters.

[0027] The binary deviation function is: δ(F(A n )) = Q(A0, A n )|s-e| + (1-Q(A0, A n ))|s-θ| Wherein, s is the correction value of the impeller component measurement matrix, e is the natural logarithm, Q(A0, A n ) is a decision formula with a value range of (1, 2), which is used to determine the relative deviation relationship between the impeller component measurement matrix standard value and the real-time iterative operation, thereby verifying the result of the iterative operation, and theta is the convolution reference model.

[0028] Through the calculation result of the binary deviation function, the iteration number is referred to, and the coordinate parameters and size parameters of the impeller component with higher accuracy are obtained.

[0029] The working principle of the large blade pump impeller component coordinate angle measurement method in the embodiment of the application is as follows: based on multiple types of detection components, combined with specific operation methods and mathematical formulas, the coordinate parameters and size parameters related to the impeller component can be accurately measured and obtained, the multiple data obtained are analyzed and processed in the form of building a data space model, and then iterative prediction and correction are performed, so that measurement data with higher accuracy is finally obtained, the overall maintenance cost is reduced, the vibration phenomenon of the water pump is avoided, and the efficiency and stability of the water pump operation are ensured.

[0030] In the overall scheme, the measurement method mainly includes the following steps: a measuring instrument and multiple types of sensors are used to collect coordinate parameters and size parameters of an impeller component, the coordinate parameters include angle parameters and position parameters, and the size parameters include height parameters and length parameters; a data space model is built, and data analysis and processing conditions are set to analyze and process the collected coordinate parameters and size parameters; the collected coordinate parameters and size parameters are denoised by a filtering estimation component, and data with too large errors are screened out; for the remaining data after screening, multiple influence indexes are referred to, and the data are evaluated and verified in an iterative operation mode; the iterative operation results are collected, the corresponding regression is verified by a binary deviation function, and the coordinate parameters and size parameters of the impeller component with high accuracy are obtained.

[0031] For the measuring instrument involved in the application, the base, the reference vertical rod, the horizontal measuring rod and the vertical measuring rod and other parts are composed. The base is cylindrical, the upper surface is marked with a 360° scale, and is placed in the hub body shaft hole. The reference vertical rod is installed in the middle, and the upper scale is marked with the hub body upper surface as "0". The total height is controlled when the blade outlet angle is higher than the maximum blade angle. The horizontal measuring rod is installed on the vertical rod and slides up and down and rotates 360°. The horizontal measuring rod is marked with the vertical rod center as the reference "0" position. The length of the horizontal measuring rod is 60% of the impeller diameter. A vertical measuring rod is connected to the horizontal measuring rod. The vertical measuring rod can move left and right, up and down on the horizontal rod, and can measure height and length. The connecting between the measuring rods is smooth and sliding without looseness, which causes measurement error, and has a locking function.

[0032] In actual use, the outer circle size of the blade is the impeller radius. First, the base angle "0" is aligned with the center of a blade. Taking a four-blade water pump as an example, the other three blades are located at 90°, 180° and 270° positions. The vertical measuring rod is adjusted to be against the outer circle of the blade, and the size shown by the horizontal measuring rod is the impeller radius b. The difference between the calculated value and the designed impeller diameter B is the size to be repaired. The same is true for other points.

[0033] For the blade angle consistency measurement, the distance from the blade inlet and outlet angle to the upper surface of the hub body can be obtained. For a point on the upper surface of the blade, the coordinates of the distance X from the reference vertical rod center and the distance y from the upper surface of the hub body can be used to represent the same point on different blades. By rotating 90°, 180° and 270° in turn, whether the size of the same point on different blades is consistent can be measured to ensure the repair size. In combination with multiple types of sensors, the coordinate parameters and size parameters of the impeller assembly can be obtained by using the technical characteristics of the sensors.

[0034] The core innovation of the present application lies in the data processing algorithm. Specifically, the data space model of the present application is as follows:

[0035] Wherein, G array is a membership matrix used to sort the angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t) according to the membership parameter; t is the time node corresponding to the collected data, which is generally in units of s.

[0036] The parameter time node marks and sorts the angle parameter x(t), the position parameter y(t), the height parameter h(t) and the length parameter l(t), respectively, and all parameters are uniformly collected to avoid inconsistency.

[0037] For the isolated data parameters obtained, a filtering operation is used for denoising. Generally, the calculation formula of the filtering estimation component is divided into a correction part and an execution part. The correction part is:

[0038] The execution part is:

[0039] Wherein, K(k) is the Kalman filter gain, I is the unit matrix, P(k) is the state covariance matrix, ^ represents the correction value, the superscript T represents the transpose of the matrix, and the superscript - and the superscript + represent the increase and decrease of the correction value, respectively.

[0040] Through the two-part data processing, more accurate data parameters can be obtained. Through the two-part data processing, more accurate data parameters can be obtained.

[0041] In order to further improve the measurement accuracy, combined with the specific scene of actual application, a plurality of influence indexes are constructed to cooperate with the iterative algorithm for operation; specifically, the plurality of influence indexes include environment indexes, water quantity change indexes, stress indexes and error indexes. The calculation formula of the iterative algorithm is:

[0042] Wherein, m is the total number of iterations, n is the current iteration number, S0 is the iteration parameter standard value, B is the influence index matrix, A0 is the impeller component measurement matrix standard value; through multiple iteration operations on the impeller component measurement matrix A, more accurate coordinate parameters and size parameters can be obtained.

[0043] Finally, the regression verification of the iterative operation result is carried out by the binary deviation function combined with the iteration number, and the coordinate parameter and size parameter collection accuracy of the impeller assembly is further improved.

[0044] It is particularly pointed out that the calculation result of the binary deviation function can be analyzed if necessary, which can be applied to more complex and variable application scenarios.

[0045] In summary, the large blade pump impeller component coordinate angle measurement method in the embodiment of the application can accurately measure and obtain the coordinate parameters and size parameters related to the impeller component based on multiple types of detection assemblies, combined with specific operation methods and mathematical formulas, adopt the form of building a data space model to analyze and process the obtained multiple data, and then perform iterative prediction and correction, finally obtain measurement data with higher accuracy, reduce the overall maintenance cost, avoid the vibration phenomenon of the water pump, and thus ensure the efficiency and stability of the water pump operation.

[0046] The above specific embodiments cannot be regarded as a limitation on the protection scope of the application, and any alternative improvement or change made by the person skilled in the art to the embodiments of the application falls within the protection scope of the application.

[0047] The details not described in the application are well-known to those skilled in the art.

Claims

1. A method for measuring the coordinate angles of impeller components in a large vane pump, characterized in that, The measurement method includes the following steps: S1, a measuring instrument and multiple types of sensors are used to collect the coordinate parameters and dimensional parameters of the impeller assembly. The coordinate parameters include angle parameters and position parameters, and the dimensional parameters include height parameters and length parameters. S2, build a data space model and set data analysis and processing conditions to analyze and process the collected coordinate parameters and size parameters; S3, through the filtering estimation component, performs noise reduction processing on the collected coordinate parameters and size parameters, and filters out data with excessive errors; S4. For the remaining data after screening, evaluate and verify it using iterative calculations, referring to multiple influencing indicators. S5 collects the results of iterative calculations and verifies the corresponding regressivity through a binary deviation function to obtain highly accurate coordinate parameters and dimensional parameters of the impeller assembly.

2. The method for measuring the coordinate angle of a large blade pump impeller component according to claim 1, characterized in that: The angle parameter x(t), position parameter y(t), height parameter h(t), and length parameter l(t) are collected in a classified manner, and upper and lower thresholds are set accordingly as data analysis and processing conditions to obtain the impeller component measurement matrix A(t).

3. The method for measuring the coordinate angle of the impeller component of a large blade pump according to claim 1, characterized in that, The data space model is as follows: Among them, G array This is the membership matrix, used to sort the angle parameter x(t), position parameter y(t), height parameter h(t), and length parameter l(t) according to the membership parameter; t is the time node corresponding to the data collection, usually in seconds.

4. The method for measuring the coordinate angle of the impeller component of a large blade pump according to claim 1, characterized in that: The calculation formula of the filtering estimation component is divided into a correction part and an execution part; The correction is as follows: The execution part is: Where K(k) is the Kalman filter gain, I is the identity matrix, P(k) is the state covariance matrix, ^ represents the correction value, the superscript T represents the transpose of the matrix, and the superscript - and superscript + represent increasing and decreasing the correction value, respectively.

5. The method for measuring the coordinate angle of a large blade pump impeller component according to claim 1, characterized in that: The aforementioned multiple influencing indicators include environmental indicators, water quantity change indicators, stress indicators, and error indicators, which can be integrated into the iterative algorithm; The calculation formula for the iterative algorithm is as follows: Where m is the total number of iterations, n is the current iteration number, S0 is the standard value of the iteration parameter, B is the influence index matrix, and A0 is the standard value of the impeller component measurement matrix; by performing multiple iterative calculations on the impeller component measurement matrix A, more accurate coordinate parameters and dimensional parameters can be obtained.

6. The method for measuring the coordinate angle of a large blade pump impeller component according to claim 5, characterized in that, The binary deviation function is: δ(F(A n )) = Q(A0,A n )|se|+(1- Q(A0,A n ))|s-θ| Where s is the correction value of the impeller component measurement matrix, e is the natural logarithm, and Q(A0, A...) n ) is a criterion with a range of (1,2) to determine the relative deviation between the standard value of the impeller component measurement matrix and the real-time iterative calculation, thereby verifying the results of the iterative calculation. θ is the convolution reference model.

7. The method for measuring the coordinate angle of a large blade pump impeller component according to claim 6, characterized in that: By using the calculation results of the binary deviation function and referring to the number of iterations, the coordinate parameters and dimensional parameters of the impeller component with higher accuracy can be obtained.

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