Virtual-real combined ship rotor response interval evaluation method and device

Abstract

The invention provides a virtuality and reality combined ship rotor response interval evaluation method and device, and is applied to the technical field of data processing. The method comprises the following steps: establishing a dense sample space, and carrying out sparse sampling on the dense sample space to obtain a sparse sample space; substituting the characteristic parameter corresponding to each sample in the sparse sample space into a rotor kinetic equation to obtain a simulation amplitude-frequency response curve; obtaining test amplitude-frequency response data, and determining a test amplitude-frequency response curve according to the test amplitude-frequency response data; mixing the simulation amplitude-frequency response curve and the test amplitude-frequency response curve to obtain mixed data; and determining a rotor response interval evaluation result according to the mixed data.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to a method and device for evaluating the response interval of a ship rotor by combining virtual and real. Background Art

[0002] The rotor is the core equipment of the ship power system. It realizes efficient energy transfer through high-speed and stable rotation, provides power for the hull to move forward, and its performance directly affects the efficiency and reliability of the ship. Due to the changing operating environment of the ship, the rotor faces many interval uncertainty factors during actual operation. These interval factors will cause abnormal vibration and increased wear of the rotor, and even lead to damage to the rotor structure. Conducting rotor vibration response interval evaluation can accurately predict potential fault hazards in advance, avoiding major economic losses and safety accidents.

[0003] Traditional methods for evaluating the rotor vibration response interval mainly rely on simulation results as the data basis. This method constructs a corresponding simulation model to simulate the operating state of the ship rotor under various working conditions, thereby obtaining vibration response-related data and conducting evaluation and analysis based on this.

[0004] However, since the modeling process depends on the professional knowledge and experience of the modeler, once there are cognitive biases in the modeler, it is very easy to cause a large error between the constructed simulation model and the actual test model. Eventually, the evaluation result of the response interval deviates seriously from the actual engineering situation, making the evaluation result lose credibility and unable to provide an effective reference basis for actual ship operation and maintenance. Summary of the Invention

[0005] The present invention provides a method and device for evaluating the response interval of a ship rotor by combining virtual and real, so as to solve the problem that the existing method for evaluating the rotor vibration response interval relies too much on the professional knowledge and experience of the modeler.

[0006] The present invention provides a method for evaluating the response interval of a ship rotor by combining virtual and real, including: establishing a dense sample space, and performing sparse sampling on the dense sample space to obtain a sparse sample space; substituting the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; obtaining experimental amplitude-frequency response data, and determining an experimental amplitude-frequency response curve according to the experimental amplitude-frequency response data; performing hybrid processing on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain hybrid data; and determining an evaluation result of the rotor response interval according to the hybrid data.

[0007] According to the method for evaluating the response interval of a ship rotor by combining virtual and real provided by the present invention, the establishment of the dense sample space includes: establishing the dense sample space based on the zeros of the Chebyshev polynomial.

[0008] A method for evaluating the response interval of a ship rotor combining virtual and real, the obtaining of test amplitude-frequency response data and determining the test amplitude-frequency response curve according to the test amplitude-frequency response data includes: obtaining test amplitude-frequency response data under different parameters through eddy current displacement sensors arranged on the rotor test bench; using the spline interpolation method to interpolate the test amplitude-frequency response data to obtain a test amplitude-frequency response curve consistent with the rotational speed sequence of the simulation amplitude-frequency response curve.

[0009] A method for evaluating the response interval of a ship rotor combining virtual and real, the mixing process of the simulation amplitude-frequency response curve and the test amplitude-frequency response curve to obtain mixed data includes: according to the principle of the closest distance between the test sample and the simulation sample, using the test sample points to replace the simulation sample points, and at the same time using the test amplitude-frequency response curve to replace the simulation amplitude-frequency response curve.

[0010] A method for evaluating the response interval of a ship rotor combining virtual and real, the determining of the rotor response interval evaluation result according to the mixed data includes: at the target rotational speed, establishing a polynomial surrogate model and adjusting the coefficients of the polynomial surrogate model by the stochastic gradient descent method; based on the polynomial surrogate model, using a global optimization algorithm to determine the response boundary at the target rotational speed to obtain the response interval evaluation result.

[0011] The present invention also provides a device for evaluating the response interval of a ship rotor combining virtual and real, including the following modules: a sample construction module, a data processing module, and an interval evaluation module; the sample construction module is used to establish a dense sample space and perform sparse sampling on the dense sample space to obtain a sparse sample space; the data processing module is used to substitute the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulation amplitude-frequency response curve; obtain test amplitude-frequency response data and determine a test amplitude-frequency response curve according to the test amplitude-frequency response data; perform a mixing process on the simulation amplitude-frequency response curve and the test amplitude-frequency response curve to obtain mixed data; the interval evaluation module is used to determine the rotor response interval evaluation result according to the mixed data.

[0012] According to a device for evaluating the response interval of a ship rotor combining virtual and real provided by the present invention, the sample construction module is used to establish the dense sample space based on the zeros of Chebyshev polynomials.

[0013] A virtual-reality combined ship rotor response interval evaluation device provided by the present invention, the data processing module is configured to obtain test amplitude-frequency response data under different parameters through eddy current displacement sensors arranged on a rotor test bench; perform interpolation on the test amplitude-frequency response data by using a spline interpolation method to obtain a test amplitude-frequency response curve consistent with the rotational speed sequence of the simulation amplitude-frequency response curve.

[0014] A virtual-reality combined ship rotor response interval evaluation device provided by the present invention, the data processing module is configured to replace simulation sample points with test sample points according to the principle of the closest distance between the test sample and the simulation sample, and simultaneously replace the simulation amplitude-frequency response curve with the test amplitude-frequency response curve.

[0015] A virtual-reality combined ship rotor response interval evaluation device provided by the present invention, the interval evaluation module is configured to establish a polynomial surrogate model at a target rotational speed, and adjust the coefficients of the polynomial surrogate model by using a stochastic gradient descent method; based on the polynomial surrogate model, use a global optimization algorithm to determine the response boundary at the target rotational speed to obtain a response interval evaluation result.

[0016] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, it implements the virtual-reality combined ship rotor response interval evaluation method as described in any one of the above.

[0017] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the virtual-reality combined ship rotor response interval evaluation method as described in any one of the above.

[0018] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the virtual-reality combined ship rotor response interval evaluation method as described in any one of the above.

[0019] The virtual-reality combined ship rotor response interval evaluation method and device provided by the present invention can establish a dense sample space, perform sparse sampling on the dense sample space to obtain a sparse sample space, so that the sample scale of the sample space can be reduced and the calculation amount can be reduced; since the simulation amplitude-frequency response curve and the test amplitude-frequency response curve can be mixed to obtain mixed data, and the rotor response interval evaluation result is determined according to the mixed data, the high credibility of the test data and the expandability of the simulation data can be combined to achieve high-precision evaluation of the rotor response interval. Description of the Drawings

[0020] To more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0021] Figure 1 It is a schematic flowchart of the method for evaluating the response interval of a ship rotor by combining virtual and real provided by the present invention; Figure 2 It is a schematic structural diagram of the device for evaluating the response interval of a ship rotor by combining virtual and real provided by the present invention; Figure 3 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0022] To make the objectives, technical solutions and advantages of the present application clearer, the following will clearly and completely describe the technical solutions in the present application with reference to the drawings in the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0023] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0024] It should be noted that in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device including a series of elements not only includes those elements but also other elements not explicitly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0025] For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish identical or similar items with basically the same functions and roles. Those skilled in the art can understand that the terms "first", "second", etc. are not intended to limit the quantity and execution order.

[0026] Some exemplary embodiments are described for the purpose of illustration in the embodiments of the present application. It should be understood that the present application can be implemented in other ways not specifically shown in the drawings.

[0027] As Figure 1 shown, the embodiments of the present application provide a method for evaluating the response interval of a ship rotor combining virtual and real, and this method for evaluating the response interval of a ship rotor combining virtual and real can be applied to a device for evaluating the response interval of a ship rotor combining virtual and real. This method for evaluating the response interval of a ship rotor combining virtual and real may include S101 - S105: S101. The device for evaluating the response interval of a ship rotor combining virtual and real establishes a dense sample space and sparsely samples the dense sample space to obtain a sparse sample space.

[0028] Optionally, the device for evaluating the response interval of a ship rotor combining virtual and real establishing a dense sample space includes: establishing the dense sample space based on the zeros of Chebyshev polynomials.

[0029] Specifically, in the evaluation of the vibration response interval of a ship's rotor, the operating environment of the ship is extremely complex, with numerous uncertain factors, such as seawater temperature, salinity, sea breeze intensity and direction, etc. These factors vary within a certain range and are combined with each other, having a comprehensive impact on the vibration response of the rotor. In order to comprehensively and accurately evaluate the vibration response of the rotor under various possible working conditions, a method that can fully cover the value range of these uncertain factors is required to obtain sufficient rich data to support subsequent analysis. The zeros of Chebyshev polynomials have special distribution properties and can select sample points relatively evenly within a given interval. Therefore, they can be used to establish a dense sample space to meet the need for comprehensive coverage of uncertain factors.

[0030] The zeros of the k-th order Chebyshev polynomial can be expressed as: ; (1) where represents the zero vector composed of the zeros of the k-th order Chebyshev polynomial, is the angle value corresponding to the j-th zero.

[0031] The samples of the dense sample space are obtained through the tensor product operation. Denote the uncertainty dimension as n, then the dense sample space can be expressed as: ; (2) It should be noted that the dense sample space can comprehensively cover all possible value combinations of various uncertain factors faced during the operation of the ship's rotor. Whether it is the change range of seawater temperature, the fluctuation interval of salinity, or different situations of sea breeze intensity and direction, etc., they can all be reflected in the sample space, providing a comprehensive data basis for accurately analyzing the vibration response of the rotor under different working conditions in the future.

[0032] It should be noted that by using the characteristics of the zeros of Chebyshev polynomials, the samples are evenly distributed within the value range. Compared with other sample construction methods, under the same number of samples, this uniform distribution can better capture the behavioral characteristics of the system. For example, when analyzing the relationship between the rotor vibration response and uncertain factors, the uniformly distributed samples can more accurately reflect the influence of different factor values on the vibration response, avoiding analysis deviations caused by uneven sample distribution, thereby improving the accuracy and reliability of subsequent analysis and evaluation.

[0033] Although the dense sample space comprehensively covers the value range of uncertain factors, the sample size is too large. In the evaluation of the vibration response interval of a ship's rotor, a large number of samples will cause the computational amount to increase exponentially, making it difficult to execute the response interval evaluation and resulting in the problem of dimensionality disaster. Therefore, it is necessary to process the dense sample space to reduce the number of samples while ensuring a certain analysis accuracy to overcome the computational difficulties brought by dimensionality disaster.

[0034] Specifically, the virtual-real combined ship rotor response interval evaluation device can perform sparse sampling on the dense sample space to obtain a sparse sample space. Specifically, it includes: first, randomly sampling the dense sample space, and the number of random samplings can be expressed as , where! represents factorial, is the uncertainty dimension, is the order of the Chebyshev polynomial; then repeatedly sampling the dense sample space, and evaluating the sampling effect by calculating the uniformity . The evaluation formula for the uniformity is: ; (3) where and are two non-coincident samples in the sparse sample space . Continuously adjust the sampling method until the uniformity of the sparse sampling samples reaches the minimum. At this time, the required sparse sample space can be obtained. Finally, the number of samples in the sparse sample space is .

[0035] For a five-dimensional uncertainty problem, if the order of the Chebyshev polynomial is equal to 4, the number of samples in the dense sample space is 3125, and the number of samples in the sparse sample space is 252. The number of samples in the sparse sample space is only 8.06% of that in the dense sample space, which can save 91.94% of the calculation time and improve the analysis efficiency.

[0036] It should be noted that through sparse sampling, not only can the sample quantity be significantly reduced and the calculation amount be decreased, but also the uniformity can be optimized through repeated sampling, so that the samples in the sparse sample space can still better represent the characteristics of the dense sample space to a certain extent.

[0037] S102. The virtual-real combined ship rotor response interval evaluation device substitutes the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve.

[0038] After the construction of the sparse sample space is completed, it is necessary to further explore the vibration response of the ship rotor under different combinations of uncertainty factors. Since the ship rotor is subjected to the combined action of multiple forces during actual operation, such as external excitation forces such as wave loads, mechanical loads, and bearing loads, and at the same time, its own mass, damping, and stiffness characteristics will also affect the vibration. Therefore, a mathematical model is needed to describe the relationship between these factors and the rotor vibration response, so as to simulate the corresponding vibration response by inputting the sample parameters in the sparse sample space, providing a theoretical basis for subsequent fusion with test data and final response interval evaluation.

[0039] Specifically, for each sample in the sparse sample space , the virtual-real combined ship rotor response interval evaluation device can substitute the interval parameters it contains into the rotor dynamics equation to obtain: ; (4) where , and are the mass matrix, damping matrix, and stiffness matrix respectively; is the external excitation force vector. The external excitation force includes but is not limited to wave loads, mechanical loads, and bearing loads. The above mass matrix, damping matrix, stiffness matrix, and external excitation force vector need to be updated corresponding to each sample in the sparse sample space .

[0040] By expanding the external excitation force and displacement response in Fourier series and applying the harmonic balance method, a residual equation corresponding to the above formula (4) can be obtained: ; (5) where is the residual vector, is the dynamic stiffness matrix, and are vectors composed of the first terms of the Fourier expansion coefficients of the displacement and external excitation force respectively, is the harmonic truncation order.

[0041] Based on formula (5), by adding the arc length equation, an augmented residual equation can be obtained as: ; (6) where is the augmented residual, is the arc length residual, is the unit tangent vector of the response curve, and are the increments of the displacement vector and rotational speed respectively, is the arc length.

[0042] For the augmented residual equation shown in formula (6), the arc length continuation method is used to track its steady-state solution. The arc length continuation method can be divided into a single prediction process and multiple correction processes. First, the single prediction process refers to predicting the possible position of the next solution along the unit tangent vector direction based on the known steady-state solution: ; (7) where the superscripts n and n+1 represents the number of the steady-state response, and the superscript 0 represents the predicted solution.

[0043] The iterative form of the multiple correction process is: ; (8) In the formula, j and j + 1 represent the number of iterations, represents the augmented Jacobian matrix, which can be expressed as: ; (9) When the value of the residual equation is less than the set convergence value, the correction process is stopped, and the displacement iteration result at this time is the steady-state solution. Here, the convergence value of the residual equation is set to 1×10 -9 , which can ensure the accuracy of the analysis results.

[0044] It should be noted that by substituting the sample parameters into the rotor dynamics equation and using a series of mathematical methods for solution, the vibration response of the ship rotor under different combinations of uncertainty factors can be simulated, and the simulation amplitude-frequency response curve can be obtained. These curves reflect the relationship between the vibration frequency and amplitude of the rotor under different working conditions, providing intuitive data support for in-depth analysis of the dynamic behavior of the rotor.

[0045] S103. The virtual-real combined ship rotor response interval evaluation device obtains the test amplitude-frequency response data and determines the test amplitude-frequency response curve according to the test amplitude-frequency response data.

[0046] Although the simulation amplitude-frequency response curve can simulate the rotor vibration under various working conditions through the theoretical model, after all, it is calculated based on the model and there are certain differences from the actual situation. And the actual test data can directly reflect the vibration response of the rotor in the real environment and has a high credibility. However, in the rotor test, it is difficult to precisely control the rotational speed, resulting in the test data only covering the vibration values at specific rotational speeds, with limited data volume and insufficient continuity. In order to make full use of the high credibility of the test data and at the same time make up for the defect of its incomplete data so that it can be effectively combined with the simulation data, it is necessary to first process the test amplitude-frequency response data.

[0047] Optionally, the virtual-real combined ship rotor response interval evaluation device obtains the test amplitude-frequency response data and determines the test amplitude-frequency response curve according to the test amplitude-frequency response data, including: obtaining the test amplitude-frequency response data under different parameters through the eddy current displacement sensors arranged on the rotor test bench; using the spline interpolation method to interpolate the test amplitude-frequency response data to obtain a test amplitude-frequency response curve consistent with the rotational speed sequence of the simulation amplitude-frequency response curve.

[0048] Specifically, eddy current displacement sensors are reasonably arranged on the rotor test bench. Through these sensors, the vibration response data of the rotor under different parameters are measured, so as to obtain the test amplitude-frequency response data. Since the test amplitude-frequency response data only contains the vibration values at specific rotational speeds, the data richness is insufficient. The cubic spline interpolation method is used to process the test data. Cubic spline interpolation is a method of constructing a smooth curve between data points. Based on the given data points, a piecewise cubic polynomial function is constructed, so that the function not only has the same function value at each data point, but also the first derivative and the second derivative are continuous. In this way, the test amplitude-frequency response curve has corresponding vibration values at more rotational speed points, so that corresponding values can be obtained at the same rotational speed as the simulation amplitude-frequency response curve, realizing data matching.

[0049] It should be noted that by collecting data on the test bench, the vibration response of the ship's rotor in the real environment is obtained, providing real and reliable data support for the entire evaluation process and making up for the possible deviation between the simulation data and the actual situation. The cubic spline interpolation method effectively expands the test data, enabling the test amplitude-frequency response curve and the simulation amplitude-frequency response curve to be compared and fused at the same rotational speed. This creates conditions for combining the test data with the simulation data in the follow-up, giving full play to the advantages of both, and more accurately evaluating the vibration response range of the ship's rotor, improving the accuracy and reliability of the evaluation results.

[0050] S104. The virtual-real combined ship rotor response interval evaluation device mixes the simulation amplitude-frequency response curve and the test amplitude-frequency response curve to obtain mixed data.

[0051] Optionally, the virtual-real combined ship rotor response interval evaluation device mixes the simulation amplitude-frequency response curve and the test amplitude-frequency response curve to obtain mixed data, including: according to the principle that the test sample is the closest to the simulation sample, using the test sample points to replace the simulation sample points, and at the same time using the test amplitude-frequency response curve to replace the simulation amplitude-frequency response curve.

[0052] Specifically, first calculate the distance between the test sample and the simulation sample. Through a specific distance metric formula (such as the Euclidean distance, etc., select a suitable metric method according to the data characteristics and actual needs), determine the nearest neighbor simulation sample of each test sample in the simulation sample space. According to the principle that the test sample is the closest to the simulation sample, use the test sample points to replace the corresponding simulation sample points, and at the same time use the test amplitude-frequency response curve to replace the simulation curve. During the replacement process, strictly ensure that the number of samples remains unchanged to maintain the statistical characteristics of the sample space. And through a reasonable replacement strategy, ensure that the uniformity of the sparse sample space is not damaged, so that the fused data can still better represent the distribution of various uncertainty factors.

[0053] It should be noted that, on the one hand, through scientific sample replacement and curve fusion, the data finally used for evaluation in this application is closer to the actual situation, effectively reducing the error of the evaluation result and improving the accuracy of the evaluation of the ship rotor vibration response interval. On the other hand, this application realizes the organic combination of high credibility of test data and expandability of simulation data. The authenticity of the test data is used to correct the possible deviation of the simulation data, and at the same time, with the help of the rich working condition simulation ability of the simulation data, the problem of insufficient working condition coverage of the test data is made up for, so as to provide a more comprehensive and accurate data basis for subsequent analysis and evaluation.

[0054] S105. The virtual-real combined ship rotor response interval evaluation device determines the rotor response interval evaluation result according to the mixed data.

[0055] The mixed data (including simulation and test data) obtained through the previous steps is discrete sample information. In order to evaluate the response interval more efficiently and accurately, it is necessary to construct a simple model that can reflect the internal law of the data, which is used to simplify the subsequent calculation and analysis process, and at the same time predict the response of the unsampled points, so as to more comprehensively evaluate the vibration response interval of the ship rotor at different speeds.

[0056] Optionally, the virtual-real combined ship rotor response interval evaluation device determines the rotor response interval evaluation result according to the mixed data, including: at the target speed, establishing a polynomial surrogate model, and adjusting the coefficients of the polynomial surrogate model by the stochastic gradient descent method; based on the polynomial surrogate model, using a global optimization algorithm to determine the response boundary at the target speed to obtain the response interval evaluation result.

[0057] Specifically, at the same speed, an efficient polynomial is used to establish a polynomial surrogate model for the steady-state response. The expression of the polynomial surrogate model is: ; (10) Among them, is the polynomial surrogate model, is the exponent, is the coefficient matrix of the polynomial surrogate model, is the vector composed of monomials, is the polynomial truncation order.

[0058] The coefficients of the polynomial surrogate model can be obtained by the stochastic gradient descent method, and the loss function is constructed as follows: ; (11) Among them, is the The simulated or experimental amplitude-frequency response curves corresponding to the samples. By repeatedly executing the iterative process of stochastic gradient descent, the model coefficients that minimize the loss function can be obtained, and the construction of the polynomial surrogate model is completed.

[0059] Based on the polynomial surrogate model , the global optimization algorithm is used to obtain the response boundary at a certain rotational speed, and the upper and lower response bounds at different rotational speeds are connected to obtain the evaluation result of the response interval.

[0060] It should be noted that the polynomial surrogate model approximates the complex sample data relationship in polynomial form, greatly simplifying the subsequent calculation process. When evaluating the response interval, it is not necessary to analyze a large number of discrete samples one by one, but to calculate based on the polynomial surrogate model, reducing the amount of calculation and computational complexity, and improving the analysis efficiency.

[0061] By optimizing the model coefficients through the stochastic gradient descent method, the polynomial surrogate model can better fit the mixed data and capture the internal laws in the data. At the same time, the global optimization algorithm can overcome the problems of traditional optimization methods that require multiple searches to find the boundary values and are prone to falling into local optimal solutions, and can more accurately determine the response boundary, thereby improving the accuracy of the evaluation of the ship rotor vibration response interval and being able to more reliably predict the vibration response range of the rotor under different working conditions.

[0062] The polynomial surrogate model can not only fit the existing sample data, but also predict the response of the unsampled points. This enables the evaluation to cover a wider range of working conditions, provides a more comprehensive reference basis for the design, operation, and maintenance of ship rotors, helps to detect potential vibration problems in advance, and ensures the safe and stable operation of the ship.

[0063] In the embodiments of the present application, since a dense sample space can be established and sparse sampling is performed on the dense sample space to obtain a sparse sample space, the sample size of the sample space can be reduced and the amount of calculation can be reduced; since the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve can be mixed to obtain mixed data, and the evaluation result of the rotor response interval is determined according to the mixed data, the high credibility of the experimental data and the expansibility of the simulation data can be combined to achieve high-precision evaluation of the rotor response interval.

[0064] The above mainly introduced the solution provided by the embodiments of the present application from the perspective of methods. To implement the above functions, it includes the corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed in this article, the embodiments of the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0065] It should be noted that the devices in the embodiments of the present application include virtual devices and physical devices. The virtual device can be a virtual-real combined ship rotor response interval evaluation device, and the physical device can include electronic devices, computer storage media, and computer program products.

[0066] For the virtual-real combined ship rotor response interval evaluation method provided by the embodiments of the present application, the execution subject can be a virtual-real combined ship rotor response interval evaluation device, or a control module for virtual-real combined ship rotor response interval evaluation in the virtual-real combined ship rotor response interval evaluation device. In the embodiments of the present application, taking the virtual-real combined ship rotor response interval evaluation device as an example to execute the virtual-real combined ship rotor response interval evaluation method, the virtual-real combined ship rotor response interval evaluation device provided by the embodiments of the present application is described.

[0067] It should be noted that the embodiments of the present application can divide the function modules of the virtual-real combined ship rotor response interval evaluation device according to the above method examples. For example, each function module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software function modules. Optionally, the division of modules in the embodiments of the present application is illustrative, and is only a logical function division. There may be other division methods in actual implementation.

[0068] Such as Figure 2As shown in the figure, an evaluation device 200 for the response interval of a ship rotor combining virtual and real is provided in an embodiment of the present application. The evaluation device 200 for the response interval of a ship rotor combining virtual and real includes: a sample construction module 201, a data processing module 202, and an interval evaluation module 203; the sample construction module 201 is configured to establish a dense sample space and perform sparse sampling on the dense sample space to obtain a sparse sample space; the data processing module 202 is configured to substitute the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; obtain experimental amplitude-frequency response data, and determine an experimental amplitude-frequency response curve according to the experimental amplitude-frequency response data; perform hybrid processing on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain hybrid data; the interval evaluation module 203 is configured to determine an evaluation result of the rotor response interval according to the hybrid data.

[0069] Optionally, the sample construction module 201 is configured to establish the dense sample space based on the zeros of the Chebyshev polynomial.

[0070] Optionally, the data processing module 202 is configured to obtain experimental amplitude-frequency response data under different parameters through an eddy current displacement sensor arranged on a rotor test bench; perform interpolation on the experimental amplitude-frequency response data by using a spline interpolation method to obtain an experimental amplitude-frequency response curve consistent with the rotational speed sequence of the simulated amplitude-frequency response curve.

[0071] Optionally, the data processing module 202 is configured to replace the simulated sample points with experimental sample points according to the principle that the experimental samples are closest to the simulated samples, and at the same time replace the simulated amplitude-frequency response curve with the experimental amplitude-frequency response curve.

[0072] Optionally, the interval evaluation module 203 is configured to establish a polynomial surrogate model at a target rotational speed, and adjust the coefficients of the polynomial surrogate model by using a stochastic gradient descent method; based on the polynomial surrogate model, use a global optimization algorithm to determine the response boundary at the target rotational speed to obtain an evaluation result of the response interval.

[0073] In the embodiment of the present application, since a dense sample space can be established and sparse sampling is performed on the dense sample space to obtain a sparse sample space, the sample scale of the sample space can be reduced and the amount of calculation can be reduced; since the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve can be subjected to hybrid processing to obtain hybrid data, and an evaluation result of the rotor response interval is determined according to the hybrid data, the high credibility of the experimental data and the expandability of the simulation data can be combined to achieve high-precision evaluation of the rotor response interval.

[0074] Figure 3 Illustrates a schematic physical structure diagram of an electronic device, such asFigure 3 As shown in Figure 3 , the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communications interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call the logical instructions in the memory 330 to execute a method for evaluating the response interval of a ship rotor in combination of virtual and real, and this method includes: establishing a dense sample space, and performing sparse sampling on the dense sample space to obtain a sparse sample space; substituting the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; acquiring experimental amplitude-frequency response data, and determining an experimental amplitude-frequency response curve according to the experimental amplitude-frequency response data; performing a mixing process on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain mixed data; and determining an evaluation result of the rotor response interval according to the mixed data.

[0075] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0076] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the virtual-real combined ship rotor response interval evaluation method provided by the above-mentioned various methods. The method includes: establishing a dense sample space, and performing sparse sampling on the dense sample space to obtain a sparse sample space; substituting the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; acquiring experimental amplitude-frequency response data, and determining an experimental amplitude-frequency response curve according to the experimental amplitude-frequency response data; performing hybrid processing on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain hybrid data; and determining a rotor response interval evaluation result according to the hybrid data.

[0077] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the virtual-real combined ship rotor response interval evaluation method provided by the above-mentioned various methods. The method includes: establishing a dense sample space, and performing sparse sampling on the dense sample space to obtain a sparse sample space; substituting the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; acquiring experimental amplitude-frequency response data, and determining an experimental amplitude-frequency response curve according to the experimental amplitude-frequency response data; performing hybrid processing on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain hybrid data; and determining a rotor response interval evaluation result according to the hybrid data.

[0078] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0079] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the response interval of a ship rotor combining virtual and real, characterized in that Including: Establish a dense sample space, and perform sparse sampling on the dense sample space to obtain a sparse sample space; Substitute the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; Obtain experimental amplitude-frequency response data, and determine an experimental amplitude-frequency response curve based on the experimental amplitude-frequency response data; Perform a mixing process on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain mixed data; Determine an evaluation result of the rotor response interval based on the mixed data.

2. The method for evaluating the response interval of a virtual-real combined ship rotor according to claim 1, characterized in that The establishing of the dense sample space includes: establishing the dense sample space based on the zeros of Chebyshev polynomials.

3. The method for evaluating the response interval of a virtual-real combined ship rotor according to claim 1, wherein The obtaining of the experimental amplitude-frequency response data and determining the experimental amplitude-frequency response curve based on the experimental amplitude-frequency response data includes: Obtain experimental amplitude-frequency response data under different parameters through eddy current displacement sensors arranged on a rotor test bench; Use the spline interpolation method to interpolate the experimental amplitude-frequency response data to obtain an experimental amplitude-frequency response curve consistent with the rotational speed sequence of the simulated amplitude-frequency response curve.

4. The method for evaluating the response interval of a ship rotor combining virtual and real as claimed in claim 1, wherein The performing of the mixing process on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain mixed data includes: According to the principle of the closest distance between experimental samples and simulated samples, use experimental sample points to replace simulated sample points, and at the same time use the experimental amplitude-frequency response curve to replace the simulated amplitude-frequency response curve.

5. The method for evaluating the response interval of a ship rotor combining virtual and real as claimed in claim 1, wherein The determining of the evaluation result of the rotor response interval based on the mixed data includes: At a target rotational speed, establish a polynomial surrogate model, and adjust the coefficients of the polynomial surrogate model by the stochastic gradient descent method; Based on the polynomial surrogate model, use a global optimization algorithm to determine the response boundary at the target rotational speed to obtain an evaluation result of the response interval.

6. An evaluation device for the response interval of a ship rotor combining virtual and real, characterized in that Including: A sample construction module, a data processing module, and an interval evaluation module; The sample construction module is used to establish a dense sample space, and perform sparse sampling on the dense sample space to obtain a sparse sample space; The data processing module is used to substitute the characteristic parameters corresponding to each sample in the sparse sample space into the rotor dynamics equation to obtain a simulated amplitude-frequency response curve; obtain experimental amplitude-frequency response data, and determine an experimental amplitude-frequency response curve based on the experimental amplitude-frequency response data; perform a mixing process on the simulated amplitude-frequency response curve and the experimental amplitude-frequency response curve to obtain mixed data; The interval evaluation module is used to determine an evaluation result of the rotor response interval based on the mixed data.

7. The virtual-real combined ship rotor response interval evaluation device according to claim 6, characterized in that The sample construction module is used to establish the dense sample space based on the zeros of Chebyshev polynomials.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the virtual-real combined ship rotor response interval evaluation method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the virtual-real combined ship rotor response interval evaluation method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the virtual-real combined ship rotor response interval evaluation method according to any one of claims 1 to 5.

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