Structure optimization method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a structure optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the test vibration response data of a CT rack under a static modal test, obtaining the test work vibration response data of the CT rack under a dynamic work modal test, and obtaining a simulation model of the CT rack based on a simulation digital model of the CT rack; simulation vibration response data of the CT rack under the simulation static mode test are obtained, and simulation working vibration response data of the CT rack under the simulation dynamic working mode test are obtained based on the simulation digital model of the CT rack; the resonance danger frequency of the CT rack is determined based on the motor rotating speed of the CT rack, the test vibration response data, the simulation vibration response data, the test work vibration response data and the simulation work vibration response data, and the structure optimization strategy of the CT rack is determined based on the resonance danger frequency. The resonance danger frequency of the CT rack can be accurately positioned, so that the structure is improved based on the resonance danger frequency, and the stability and reliability of the CT rack are improved.

Description

Technical Field

[0001] The present application relates to the technical field of medical devices, and particularly to a structural optimization method, device, electronic device, and storage medium. Background Art

[0002] A CT (Computed Tomography) gantry is a key component in a CT scanner, which generally refers to the frame structure that supports the CT scanning device, including its functions of carrying, positioning, stabilizing, and moving. The gantry needs to carry various weights of the CT scanner, such as key components like the X-ray tube, detector array, rotating ring, etc. The vibration of the gantry may affect the stability of the device during the scanning process, resulting in blurred or inaccurate images, thereby affecting the reliability and accuracy of the diagnostic results.

[0003] When determining the vibration characteristics of a CT gantry, the conventional test process requires a large amount of manpower, material resources, and time. Especially for large and complex CT gantries, it is difficult to arrange sensors and collect data; on the other hand, the test can only obtain the vibration information of limited measuring points and cannot comprehensively understand the vibration distribution inside the CT gantry. For some parts where it is difficult to arrange sensors, their vibration characteristics are difficult to accurately measure.

[0004] Based on this, there is an urgent need to propose a method to more accurately obtain the vibration characteristics of a CT gantry, provide a reliable basis for the optimal design of the CT gantry, and improve the overall performance of mechanical equipment. Summary of the Invention

[0005] The main purpose of the present application is to provide a structural optimization method, device, electronic device, and storage medium, aiming to improve the accuracy of the CT gantry structure optimization strategy. The technical solution is as follows:

[0006] In a first aspect, an embodiment of the present application provides a structural optimization method, including:

[0007] Obtaining the test vibration response data of the CT gantry under static modal testing;

[0008] Obtaining the test working vibration response data of the CT gantry under dynamic working modal testing;

[0009] Based on the simulation digital model of the CT gantry, obtaining the simulation vibration response data of the CT gantry under simulation static modal testing;

[0010] Based on the simulation digital model of the CT gantry, obtaining the simulation working vibration response data of the CT gantry under simulation dynamic working modal testing;

[0011] Determine the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data;

[0012] Determine the structural optimization strategy of the CT gantry based on the resonance dangerous frequency.

[0013] In a second aspect, an embodiment of the present application provides a structural optimization device, including:

[0014] A test modal unit for obtaining test vibration response data of the CT gantry under static modal tests;

[0015] A working modal unit for obtaining test working vibration response data of the CT gantry under dynamic working modal tests;

[0016] A numerical modal simulation unit for obtaining simulation vibration response data of the CT gantry under simulation static modal tests based on the simulation digital model of the CT gantry;

[0017] A working modal simulation unit for obtaining simulation working vibration response data of the CT gantry under simulation dynamic working modal tests based on the simulation digital model of the CT gantry;

[0018] A dangerous frequency determination unit for determining the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data;

[0019] A structural optimization unit for determining the structural optimization strategy of the CT gantry based on the resonance dangerous frequency.

[0020] In a third aspect, an embodiment of the present application provides an electronic device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the steps of the above method are implemented.

[0021] In a fourth aspect, an embodiment of the present application provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0022] In the embodiments of the present application, by obtaining the test vibration response data of the CT gantry under static modal testing, obtaining the test working vibration response data of the CT gantry under dynamic working modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation vibration response data of the CT gantry under simulation static modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation working vibration response data of the CT gantry under simulation dynamic working modal testing, determining the resonance dangerous frequency of the CT gantry based on the motor speed, test vibration response data, simulation vibration response data, test working vibration response data and simulation working vibration response data of the CT gantry, and determining the structural optimization strategy of the CT gantry based on the resonance dangerous frequency. By combining tests and simulations to jointly analyze the vibration characteristics of the CT gantry, and through comparative tests from two aspects of modal analysis in the static state and modal analysis in the working state in tests and simulations to obtain the inherent vibration characteristics and dynamic responses in the working state, combined with the working characteristics of the CT gantry as a rotating device, that is, the motor speed that is prone to cause vibration in the CT gantry, the resonance dangerous frequency of the CT gantry can be accurately located, so as to improve the stability and reliability of the CT gantry based on the determined resonance dangerous frequency through structural improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 is a schematic application diagram of a structural optimization method provided by an embodiment of the present application;

[0025] Figure 2 is a schematic flow diagram of a structural optimization method provided by an embodiment of the present application;

[0026] Figure 3 is a schematic flow diagram of a structural optimization method provided by an embodiment of the present application;

[0027] Figure 4 is a schematic flow diagram of a structural optimization method provided by an embodiment of the present application;

[0028] Figure 5 is a schematic flow diagram of a structural optimization method provided by an embodiment of the present application;

[0029] Figure 6 is an example schematic diagram of a structural optimization method provided by an embodiment of the present application;

[0030] Figure 7 It is a schematic structural diagram of a structure optimization device provided by an embodiment of the present application;

[0031] Figure 8 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Specific embodiments

[0032] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0033] In the description of this specification, it should be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be construed as indicating or implying relative importance. In the description of this specification, it should be noted that unless otherwise clearly specified and limited, "including" and "having", and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices. For those of ordinary skill in the art, the specific meanings of the above terms in this specification can be understood in specific situations. In addition, in the description of this specification, unless otherwise stated, "a plurality of" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0034] In the related art, the vibration characteristics of the CT gantry can be analyzed by pure experimental methods. For example, by arranging acceleration sensors on the CT gantry and using a vibration test system to collect vibration response data, parameters such as the natural frequency and vibration mode of the CT gantry can be obtained. Although this method can directly reflect the vibration of the CT gantry under actual working conditions, there are some limitations. On the one hand, the experimental process requires a large amount of manpower, material resources and time. Especially for large and complex CT gantries, it is difficult to arrange sensors and collect data. On the other hand, the experiment can only obtain the vibration information of limited measuring points and cannot comprehensively understand the vibration distribution inside the CT gantry. For some parts where it is difficult to arrange sensors, their vibration characteristics are difficult to accurately measure.

[0035] In addition, in the related art, there is also an analysis of the vibration characteristics of the CT gantry through a pure numerical simulation method. By establishing a finite element model of the CT gantry and performing modal analysis on it, the vibration characteristics of the CT gantry can be quickly calculated. However, when establishing the finite element model, it is difficult to accurately simulate the material properties, boundary conditions, etc. of the CT gantry, resulting in a deviation between the calculation result and the actual situation. For example, the actual mechanical properties of the material may differ from the theoretical values, and the connection method between the CT gantry and other components is difficult to accurately reflect in the model. These factors will all affect the accuracy of the finite element analysis results.

[0036] In summary, it is difficult to comprehensively and accurately analyze the vibration characteristics of the CT gantry in the related art, so that the structure of the CT gantry cannot be accurately improved.

[0037] Based on the above problems, the embodiments of the present application provide a structure optimization method. By performing static modal tests, operational modal tests, simulation modal tests, and simulation operational modal tests on the CT gantry to obtain vibration response results in multiple aspects, and combining with the motor speed of the CT gantry for comparative analysis, the vibration characteristics such as the resonance dangerous frequency of the CT gantry can be accurately located. According to the determined resonance dangerous frequency and various types of vibration response data, the structure is improved to avoid the resonance dangerous frequency, effectively improving the stability and reliability of the CT gantry.

[0038] Please refer to Figure 1 , which is a schematic application diagram of a structure optimization method provided by the embodiments of the present application. In specific implementation, the structure optimization device can communicate with the CT gantry. The structure optimization device provided in the embodiments of the present application can be a terminal device such as a mobile phone, a computer, or a tablet computer, or can be a module in the terminal device for implementing the structure optimization generation method. The structure optimization device can obtain the test vibration response data of the CT gantry under static modal tests, obtain the test operational vibration response data of the CT gantry under dynamic operational modal tests, obtain the simulation vibration response data of the CT gantry under simulation static modal tests based on the simulation digital model of the CT gantry, obtain the simulation operational vibration response data of the CT gantry under simulation dynamic operational modal tests based on the simulation digital model of the CT gantry, determine the resonance dangerous frequency of the CT gantry based on the motor speed, test vibration response data, simulation vibration response data, test operational vibration response data, and simulation operational vibration response data of the CT gantry, and determine the structure optimization strategy of the CT gantry based on the resonance dangerous frequency.

[0039] The following will describe in detail the structure optimization method provided in this specification with specific embodiments.

[0040] Please refer to Figure 2 , which is a schematic flow diagram of a structure optimization method provided by the embodiments of the present application. As Figure 2As shown, the method of the embodiment of the present application may include the following steps S101 - S106.

[0041] S101, obtain the test vibration response data of the CT gantry under static modal testing;

[0042] In one embodiment, the static modal testing is carried out when the device is in a stationary state, and the focus is on the inherent vibration characteristics of the device under the action of excitation. By performing static modal testing on the CT gantry and collecting the corresponding test vibration response data.

[0043] Specifically, the static modal testing may include steps such as excitation method selection, sensor arrangement, and data acquisition. According to the structural characteristics and analysis purposes of the CT gantry, select an appropriate excitation method, such as using a shaker to perform sinusoidal sweep excitation on the CT gantry or using the impact hammer method for transient excitation. The principle of shaker excitation is that the shaker generates a periodic excitation force through principles such as electromagnetic induction or eccentric mass rotation and applies it to the CT gantry. Compared with the impact hammer method, the shaker excitation method can accurately control the excitation parameters and can achieve different types of excitation, such as sinusoidal excitation, random excitation, etc. The shaker excitation method can provide long-term stable excitation, which is convenient for obtaining more accurate and rich vibration response data. After that, reasonably arrange acceleration sensors on the surface of the CT gantry. The arrangement of the sensors should follow certain principles, ensuring that it can cover key parts to obtain important vibration information and avoiding mutual interference between sensors. At the same time, ensure the accuracy and stability of the test system (including sensors, amplifiers, data acquisition instruments, etc.), and calibrate the test system before the test. Under the action of excitation, use the data acquisition instrument to collect the vibration response signals of each sensor, including the data of parameters such as acceleration, velocity, or displacement changing with time. During the collection process, reasonably set the sampling frequency according to the excitation frequency range and analysis requirements to ensure that the characteristics of the vibration signal can be accurately captured.

[0044] S102, obtain the test working vibration response data of the CT gantry under dynamic operating modal testing;

[0045] In one embodiment, the dynamic operating modal testing is carried out when the device is in a working state, and the focus is on the vibration characteristics of the device during operation (working). By performing dynamic operating modal testing on the CT gantry to obtain its test working vibration response data.

[0046] Specifically, determine the operating conditions of the CT gantry during actual operation, including the scanning speed, rotation angle range, load conditions, etc. during normal operation. Based on these operating conditions, determine appropriate test conditions. For example, conduct tests during the normal scanning operation of the CT gantry to ensure stable operation of the equipment and it is in a typical working state. At the same time, check whether the test system (acceleration sensors, data acquisition instruments, etc.) is working properly, and perform necessary calibration and debugging on the sensors to ensure the accuracy of the test data. During the normal operation of the CT gantry, use a high-precision data acquisition instrument to synchronously collect vibration response signals of multiple channels, including parameters such as acceleration, velocity, and displacement. To accurately capture the vibration characteristics in the working mode, reasonably set the sampling frequency. Generally, the sampling frequency should be at least 5 times higher than the highest working frequency. The highest working frequency refers to the highest vibration frequency that the system may reach during normal operation. At the same time, record the working parameters of the CT gantry, such as the scanning time, rotation speed, etc., for subsequent correlation analysis with the vibration data.

[0047] S103. Based on the simulation digital model of the CT gantry, obtain the simulation vibration response data of the CT gantry under the simulation static modal test;

[0048] In one embodiment, in order to improve the comprehensiveness and efficiency of the analysis of the CT gantry, numerical modal simulation is simultaneously used, and numerical methods are used to predict and analyze the vibration modes (i.e., vibration characteristics) of the structure or system under different working conditions. Exemplarily, based on modeling methods such as finite element modeling and boundary element method modeling, a simulation digital model of the CT gantry is modeled. Using the established simulation digital model, set the required simulation conditions through digital analysis software for modal analysis to obtain the modal characteristics of the CT gantry, including natural frequencies and vibration modes, etc. Specifically, it can include simulation static modal tests and simulation dynamic working modal tests. The simulation static modal test is to simulate the vibration mode of the CT gantry under static loads through the model, so as to obtain the simulation vibration response data.

[0049] S104. Based on the simulation digital model of the CT gantry, obtain the simulation working vibration response data of the CT gantry under the simulation dynamic working modal test;

[0050] In one embodiment, obtain the vibration response of the CT gantry under the equivalent working load condition based on the simulation digital model. Define the equivalent load according to the working environment of the gantry, where the load mainly comes from the gravity of the gantry itself. The simulation dynamic working modal test can be achieved through the method of harmonic response analysis. By inputting the frequency and amplitude of the working load, set the frequency range, step size, etc. of the harmonic response analysis. The analysis frequency range should cover the possible working frequencies, including the range near the natural frequency of the gantry. Then, solve through finite element software to calculate the vibration response of the gantry at these load frequencies and obtain the simulation working vibration response data.

[0051] S105. Determine the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data.

[0052] In one embodiment, the motor of the CT gantry is the main noise source of the CT gantry. When the CT gantry is operating, the motor rotates at a certain speed. When the rotor in the motor rotates, it will excite certain natural frequencies. If the speed is close to a certain natural frequency of the structure, resonance may occur, resulting in severe vibration or even damage. Therefore, based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data obtained from tests and simulations, determine the resonance dangerous frequency of the CT gantry. Exemplarily, if among the natural frequencies determined based on the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data, there are natural frequencies whose corresponding frequencies are close to the motor speed or are multiples of the motor speed, they can be determined as dangerous frequencies.

[0053] Among them, the test vibration response data and the test working vibration response data are the actual vibration response data of the CT gantry. There may be certain differences between the simulation vibration response data and the simulation working vibration response data obtained by simulation and the actual vibration response data. When there are differences, it may be due to problems in the test design or implementation, or it may be that the simulation model design is inaccurate. By cross - comparing and analyzing various results, the vibration characteristics of the current CT gantry can be accurately determined, and then it can be determined whether there are dangerous frequencies that may resonate with the motor speed of the CT gantry.

[0054] S106. Determine the structural optimization strategy of the CT gantry based on the resonance dangerous frequency.

[0055] In one embodiment, after determining the resonance dangerous frequency, appropriate structural optimization measures are taken according to the dangerous frequency to avoid the occurrence of resonance and ensure the stability and safety of the gantry during operation. Exemplarily, the structural stiffness can be increased (such as strengthening the base structure, replacing the connecting plate material, etc.), the position or number of support points can be changed, thereby changing the natural frequency of the gantry. After the optimization measures are implemented, verify their effectiveness through actual testing and simulation, such as reconstructing the simulation digital model or changing the simulation digital model, simulating the optimized structure, and checking whether the gantry can effectively avoid resonance and meet other performance requirements under the new design conditions.

[0056] In the embodiments of the present application, by obtaining the test vibration response data of the CT gantry under static modal testing, obtaining the test working vibration response data of the CT gantry under dynamic working modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation vibration response data of the CT gantry under simulation static modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation working vibration response data of the CT gantry under simulation dynamic working modal testing, and analyzing the vibration response results from multiple aspects including the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data, the combined analysis method significantly improves the analysis efficiency, reduces costs and time consumption, can accurately locate the vibration characteristics of the CT gantry, determine the resonance dangerous frequency of the CT gantry, and then determine the structural optimization strategy of the CT gantry based on the resonance dangerous frequency, improving the accuracy of the structural optimization strategy.

[0057] Please refer to Figure 3 , which is a schematic flowchart of a structural optimization method provided by the embodiments of the present application. As Figure 3 shown, the method of the embodiments of the present application may include the following steps S201 - step S209.

[0058] S201, construct a three-dimensional solid model of the CT gantry according to the geometric dimension information of the CT gantry;

[0059] In one embodiment, the present application also provides a method for modeling a simulation digital model. First, use three-dimensional modeling software (such as SolidWorks, ProE, etc.), and accurately construct its three-dimensional solid model according to the geometric dimension information of the CT gantry, including actual dimensions and structural details. During the modeling process, fully consider various features of the CT gantry, such as stiffeners, mounting holes, chamfers, etc., to ensure that the model is highly consistent with the geometric shape of the actual CT gantry.

[0060] S202, generate a simulation digital model of the CT gantry based on the three-dimensional solid model, and perform mesh division on the simulation digital model;

[0061] In one embodiment, import the three-dimensional solid model into numerical simulation analysis software (such as ANSYS, ABAQUS, etc.) to obtain a simulation digital model (such as a finite element model), and then select a suitable mesh division method and element type. Exemplarily, for complex structural parts, adopt adaptive mesh division technology to automatically refine the mesh to improve calculation accuracy; for regular parts, adopt conventional mesh division methods to improve calculation efficiency. For example, use shell elements for thin-walled structures and solid elements for solid structures, and reasonably set the element size according to the structural characteristics of the CT gantry. Generally, the element size is smaller at key parts and appropriately increased at other parts.

[0062] In addition to finite element modeling, boundary element method modeling or finite element analysis optimization based on surrogate models can be used for simulative digital model modeling. Boundary element method modeling means that first, the boundary of the CT gantry is accurately modeled to determine the boundary conditions and loads. The boundary is discretized using boundary element software to generate boundary element meshes. Information such as material parameters is input for boundary element analysis to solve the vibration characteristics of the CT gantry, such as natural frequencies, vibration modes, etc. A surrogate model is a method that approximates the response of a complex finite element model with a simple function. By performing a small number of sample point calculations on the finite element model and using these sample data to construct a surrogate model (such as a response surface model, Kriging model, etc.), the surrogate model is then used to replace the finite element model for a large number of analysis and optimization calculations. Appropriate design variables are selected on the finite element model, and sample points are determined through experimental design methods (such as Latin hypercube design, orthogonal experimental design, etc.). Finite element calculations are performed on these sample points to obtain response data. Using these data to construct a surrogate model and evaluating the accuracy of the surrogate model through methods such as cross-validation. The surrogate model is used for optimization analysis, such as finding the structural parameters that optimize the vibration characteristics of the CT gantry. This can greatly reduce the number of finite element analyses and improve the efficiency of optimization calculations, especially applicable to situations that require a large number of parameter scans and optimizations; it can simplify the analysis process of complex finite element models to a certain extent.

[0063] S203. Determine the material parameters in the simulative digital model according to the material information of the CT gantry;

[0064] In one embodiment, according to the material actually used for the CT gantry, the material parameters in the simulative digital model are accurately set, including elastic modulus, Poisson's ratio, density, etc. It can be understood that for composite materials, parameter setting is considered based on their anisotropic characteristics.

[0065] S204. Determine the boundary conditions in the simulative digital model according to the installation information and equipment operation information of the CT gantry;

[0066] In one embodiment, according to the installation and working conditions of the CT gantry in the actual equipment, the boundary conditions are reasonably determined. For example, if the CT gantry is connected to the foundation by bolts, multi-point constraints or spring-damper elements can be used to simulate the constraint effect of the bolt connection, considering the pre-tightening force and connection stiffness of the bolts.

[0067] S205. Determine the key parts of the CT gantry based on the static analysis results of the CT gantry;

[0068] In one embodiment, when conducting a modal test, it is very important to determine the key parts of the CT gantry. Reasonable sensor arrangement can help obtain accurate dynamic response data. The key parts of the CT gantry are usually those areas that are subjected to large forces, have obvious deformations, strong vibration effects, and have important impacts on system performance. It is necessary to conduct a static analysis of the CT gantry to find the parts that are subjected to large forces. For example, the guide rail mounting surface and the connection between the column and the crossbeam are key parts for bearing and transmitting forces, and sensors should usually be arranged at these positions.

[0069] Optionally, a dynamic analysis of the gantry can also be performed, especially a study of the deformation mode of the gantry. The key parts are usually those areas that are prone to large deformations, such as connection parts and support points.

[0070] After determining the key parts, install sensors such as acceleration sensors at these key parts. Different numbers of sensors can also be selected for different key parts. For example, for the CT gantry of a machine tool, sensors are densely arranged at key parts such as the guide rail mounting surface and the connection between the column and the crossbeam. Optionally, a total of 20 sensors are arranged at these parts, and the sensor spacing is determined according to the size and vibration characteristics of the key parts, generally 0.2 - 0.5 m.

[0071] S206, obtain the test vibration response data of the CT gantry under static modal test based on the sensors installed at each of the key parts;

[0072] In one embodiment, after applying an excitation to the CT gantry, collect the vibration response data of the CT gantry according to the sensors installed at each key part to obtain the test vibration response data.

[0073] For example, use the force hammer method for excitation. The operator holds the force hammer and performs transient excitation on the CT gantry according to the predetermined tapping points and tapping directions. After each tap, use a data acquisition instrument to collect the vibration response signals of each sensor, and set the sampling frequency to 500 Hz to ensure that the characteristics of the vibration signals can be accurately captured. Since the force hammer excitation is discrete, it is necessary to perform multiple taps to collect data. Generally, each tapping point is tapped 5 - 10 times to obtain sufficient valid data. Monitor the data quality in real time during the collection process to ensure that there is no data loss and abnormality.

[0074] Another example is to use electromagnetic force to excite the CT gantry. When an energized coil is placed near the CT gantry, according to the principle of electromagnetic induction, the magnetic field generated by the coil interacts with the CT gantry to generate an electromagnetic force, thereby causing the CT gantry to vibrate. Cooperate with the acceleration sensor to collect the vibration response data.

[0075] Optionally, a laser vibrometer is arranged at the test site, and its position and angle are adjusted so that the laser beam accurately irradiates the measurement point on the CT gantry. Using the interference principle of the laser, the vibration displacement information on the surface of the CT gantry is obtained by measuring the phase change of the reflected light of the laser beam irradiated on the surface of the CT gantry.

[0076] Optionally, according to the mechanical characteristics and analysis focus of the CT gantry, strain gauges are pasted at the stress concentration areas or the areas with greater influence on the vibration characteristics. The strain gauges are connected to a strain measurement system to collect the strain data of the CT gantry under excitation. Using special algorithms and software, the strain data is converted into parameters such as vibration displacement and velocity, and modal analysis is performed to obtain vibration characteristic parameters such as natural frequency and vibration mode.

[0077] S207. Based on the operating conditions of the CT gantry, determine the vibration source, propagation path, and vibration concentration area when the CT gantry is working;

[0078] In one embodiment, the operating conditions refer to various working conditions or environmental states of the CT gantry in actual work, including various physical parameters and operating states during its operation. It is usually used to describe the performance of the equipment during actual use, and the parameters involved may include but are not limited to load, speed, temperature, pressure, vibration, etc. According to the operating conditions of the CT gantry, first determine the possible vibration sources during machine operation. For example, the drive components and rotating components in the CT gantry. Usually, these components will generate strong vibrations and can be used as the starting points of vibration propagation. On the gantry, vibrations usually propagate through rigid connection components, such as through structures like columns, crossbeams, and support points. If certain parts of the gantry are more rigid, then the vibrations will propagate along these parts, possibly resulting in strong vibration responses at positions far from the vibration source. Confirm its propagation path and possible vibration concentration area through mechanical analysis.

[0079] S208. Based on the vibration source, the propagation path, and the vibration concentration area, determine the new key parts except the key parts;

[0080] In one embodiment, based on the sensor arrangement in the modal test stage, combined with the characteristics of the working mode of the CT gantry, the sensor arrangement is optimized. Considering the vibration transmission path and possible vibration concentration areas during operation, appropriately increase or adjust the positions of the sensors to ensure comprehensive monitoring of the vibration situation and improve the test accuracy.

[0081] For example, sensors are added at the connection areas between the rotating parts and the fixed parts during the scanning process, as well as at the parts where large stresses and deformations may occur. At the same time, ensure that the sensors are firmly installed to avoid affecting the test results due to loosening.

[0082] S209. Obtain the test working vibration response data of the CT under dynamic working mode tests based on the sensors installed on each of the key parts and the newly added key parts.

[0083] In one embodiment, understand the actual working conditions of the CT gantry, such as the scanning speed of 0.5 - 2 revolutions per second, the rotation angle of 0 - 360°, and the specific load. Select to conduct tests during normal scanning, check and calibrate the test system. During operation, synchronously collect multi-channel signals at a sampling frequency of 1000 Hz, record the working parameters, and store them in association with the test working vibration response data.

[0084] In the embodiments of this specification, based on the geometric dimension information of the CT gantry, construct a three-dimensional solid model of the CT gantry, generate a simulation digital model of the CT gantry based on the three-dimensional solid model, perform mesh division on the simulation digital model, determine the material parameters in the simulation digital model according to the material information of the CT gantry, determine the boundary conditions in the simulation digital model according to the installation information and equipment operation information of the CT gantry, so as to achieve as accurate a simulation of the CT gantry as possible. Based on the static analysis results of the CT gantry, determine the key parts of the CT gantry, obtain the test vibration response data of the CT gantry under static mode tests based on the sensors installed on each key part, thereby improving the data accuracy under static mode tests. After that, based on the operating conditions of the CT gantry, determine the vibration source, propagation path, and vibration concentration area during the operation of the CT gantry, determine the newly added key parts other than the key parts based on the vibration source, propagation path, and vibration concentration area, obtain the test working vibration response data of the CT under dynamic working mode tests based on the sensors installed on each key part and the newly added key parts, and add sensors on the basis of modal tests to ensure comprehensive monitoring of the vibration situation and improve the test accuracy.

[0085] Please refer to Figure 4 , which is a schematic flowchart of a structure optimization method provided by an embodiment of the present application. As Figure 4 shown, the method of the embodiment of the present application may include the following steps S301 - step S307.

[0086] S301. Analyze the test working vibration response data to obtain the first peak frequency and the first vibration mode of the CT gantry;

[0087] In one embodiment, the collected vibration response data of the test work is preprocessed, including operations such as denoising and filtering, to remove interference signals and noise and improve the data quality. Signal processing algorithms, such as methods based on Hilbert-Huang transform (HHT) or empirical mode decomposition (EMD), are used to analyze the vibration signals and extract working mode parameters, such as the working mode frequency (the first peak frequency), damping ratio, and vibration mode (the first vibration mode). A frequency-displacement response graph can be further generated, and the first peak frequency can be obtained by analyzing the image.

[0088] Optionally, by comparing the working mode parameters under different working conditions, the vibration characteristics and variation laws of the CT gantry during actual operation are analyzed.

[0089] S302, Analyze the vibration response data of the simulation work to obtain the second peak frequency and the second vibration mode of the CT gantry;

[0090] In one embodiment, during numerical modal testing, the peak frequency (the second peak frequency) and the vibration mode (the second vibration mode) can be directly obtained through simulation software. Specifically, the harmonic response analysis method can be used to perform harmonic response analysis according to the actual working load conditions to obtain the vibration response of the CT gantry under the equivalent working load conditions, that is, the frequency-displacement response graph. In terms of computational efficiency, harmonic response analysis is superior to transient dynamic analysis that requires step-by-step integration calculation and has a large computational volume and resource requirements because it has a small computational volume and low requirements for computer resources; in terms of result analysis, it can intuitively display the frequency response characteristics and is convenient for parametric research, which is more advantageous than transient dynamic analysis that requires additional processing of time history data and is not conducive to rapid parametric research; in terms of applicable scenarios, it is more suitable for periodic excitation problems and can simplify the analysis of complex systems, while transient dynamic analysis focuses more on non-periodic and transient excitation problems.

[0091] S303, Based on the first vibration mode and the second vibration mode, determine the common peak frequency with the same vibration mode from the first peak frequency and the second peak frequency;

[0092] In one embodiment, the first peak frequency and the second peak frequency may each include multiple peak frequencies. Therefore, by comparing the peak frequencies of the two, peak frequencies with similar or the same values are found, and at the same time, it is confirmed whether their vibration modes are the same. If they are the same, the peak frequency is determined as the common peak frequency.

[0093] S304, Analyze the test vibration response data to obtain the first-order natural frequency of the test of the CT gantry;

[0094] In one embodiment, the collected test vibration response data is analyzed in the time domain and the frequency domain. In the time-domain analysis, the waveform characteristics of the vibration signal are observed to determine whether there is abnormal vibration. In the frequency-domain analysis, the time-domain signal is converted into a frequency-domain signal by methods such as Fourier transform to obtain the vibration spectrum of the CT gantry, thereby determining the natural frequency of the CT gantry. In addition, modal analysis methods, such as the frequency-domain decomposition method or the stochastic subspace method, are used to identify the vibration mode of the CT gantry according to the vibration response data.

[0095] Among them, the first-order natural frequency is the smallest of all the natural frequencies and is the frequency at which the system is most likely to resonate.

[0096] S305, analyze the simulated vibration response data to obtain the simulated first-order natural frequency of the CT gantry;

[0097] Similarly, by analyzing the simulated vibration response data through simulation software, the simulated first-order natural frequency of the CT gantry can be obtained. Specifically, the natural frequency and vibration mode of the CT gantry can be calculated by means of modal analysis.

[0098] S306, determine the first-order natural frequency closest to the common peak frequency from the test first-order natural frequency and the simulated first-order natural frequency as the target first-order natural frequency;

[0099] In one embodiment, the peak frequency is the same as the first-order natural frequency. Since it cannot be determined which one is more accurate when the test first-order natural frequency and the simulated first-order natural frequency are different, the first-order natural frequency closest to the common peak frequency is selected from the test first-order natural frequency and the simulated first-order natural frequency as the target first-order natural frequency.

[0100] It should be noted that usually the test vibration response data is more accurate than the simulated vibration response data.

[0101] S307, if the target first-order natural frequency is a set multiple of the rotational frequency corresponding to the motor speed of the CT gantry, determine that the target first-order natural frequency is a resonance danger frequency.

[0102] In one embodiment, resonance occurs when the external excitation frequency (such as the motor speed) is close to or equal to the natural frequency of the system, resulting in an increase in the system amplitude and possibly causing structural damage. If the target first-order natural frequency is equal to or close to a set multiple of the motor speed, it means that the external driving force (motor speed) may trigger resonance. At this time, the amplitude of the structure will increase significantly, causing serious vibration damage, and determine that the target first-order natural frequency is a resonance danger frequency.

[0103] For example, in the comparison of the natural frequency and the vibration mode, the first natural frequency of the CT gantry measured in the test is 5.70 Hz, while the calculation result of the simulation digital model is 5.76 Hz, and there is a certain degree of deviation between the two. Further analyzing the test data of the simulation dynamic working mode test (harmonic response) and the dynamic working mode test, it is found that the peaks of both appear concentrated around 5.70 Hz, and the vibration modes both show the characteristic of the overall left-right swing of the gantry. Given that 5.7 Hz happens to be twice the rotational frequency of the gantry rotor, this frequency becomes a dangerous frequency that may cause resonance.

[0104] In the embodiment of the present application, by analyzing the test working vibration response data to obtain the first peak frequency and the first vibration mode of the CT gantry, analyzing the simulation working vibration response data to obtain the second peak frequency and the second vibration mode of the CT gantry, determining the common peak frequency with the same vibration mode from the first peak frequency and the second peak frequency, analyzing the test vibration response data to obtain the first natural frequency of the first order of the CT gantry, analyzing the simulation vibration response data to obtain the first natural frequency of the first order of the CT gantry, determining the first natural frequency closest to the common peak frequency from the first natural frequency of the test first order and the first natural frequency of the simulation first order as the target first natural frequency, if the target first natural frequency is a set multiple of the rotational frequency corresponding to the motor speed of the CT gantry, then determining the target first natural frequency as the resonance dangerous frequency. Through this method, the test results of both test and simulation can be combined, and the vibration characteristics closer to the actual situation can be determined with the assistance of static modal analysis and dynamic modal analysis, and then the resonance dangerous frequency can be accurately determined in combination with the motor speed.

[0105] Please refer to Figure 5 , which is a schematic flowchart of a structure optimization method provided by an embodiment of the present application. As Figure 5 shown, the method of the embodiment of the present application may include the following steps S401 - step S407.

[0106] S401, determining a first deviation between the first peak frequency and the second peak frequency;

[0107] In one embodiment, the deviation between the first peak frequency obtained by calculation and analysis of the test and the second peak frequency obtained by simulation is calculated to understand the consistency of the test and simulation results. A smaller deviation usually means that the simulation model is more accurate. A larger deviation may indicate that the simulation model has differences from the actual test in some aspects, which may be inaccurate model assumptions, improper boundary condition settings, or noise or errors in the test process.

[0108] S402, determining a second deviation between the first natural frequency of the test first order and the first natural frequency of the simulation first order;

[0109] In one embodiment, the second deviation between the first natural frequency obtained from the test and the first natural frequency obtained from the simulation can then be analyzed.

[0110] S403. Determine a correction strategy for the simulation digital model based on the first deviation and the second deviation.

[0111] In one embodiment, determine the deviation existing in the simulation digital model according to the identified first deviation and second deviation. For example, if the first deviation between the simulation digital model and the test data is large, while the second deviation between the simulation digital model and the test data is small, then pay attention to the possible deviation of the model parameters set under the modal test. Specifically, it is necessary to analyze in combination with the degree of the deviation. If it is determined that the material parameters do not match the actual situation, make full use of the test data for reverse derivation to obtain more accurate material parameters and apply them to model adjustment, so as to more accurately reflect the dynamic characteristics of the CT gantry structure. If it is suspected that the simulation of the boundary conditions is not accurate enough, re-examine the setting method of the boundary conditions. For example, make a meticulous adjustment to the stiffness coefficient of the bolt connection to ensure that the boundary constraints of the model highly conform to the actual working conditions. Thus, a correction strategy for the simulation digital model is obtained.

[0112] S404. Adjust the model parameters of the simulation digital model according to the correction strategy to obtain a corrected simulation digital model.

[0113] In one embodiment, correct the model parameters of the simulation digital model according to the determined correction strategy to obtain a corrected simulation digital model.

[0114] S405. Based on the corrected simulation digital model, obtain the corrected simulation vibration response data of the CT gantry under the simulation modal test.

[0115] In one embodiment, obtain the corrected simulation vibration response data under the simulation modal test again according to the corrected simulation digital model.

[0116] S406. Analyze the corrected simulation vibration response data to obtain the corrected first natural frequency.

[0117] In one embodiment, since the first natural frequency is an important vibration characteristic of the model, the corrected first natural frequency is analyzed from the corrected simulation vibration response data.

[0118] When analyzing the effect of model correction, it is usually necessary to strive to make the finite element calculation results highly consistent with the test results in many aspects such as inherent characteristics, working modes, and harmonic response characteristics. In particular, it is necessary to ensure that the calculation results at the resonance dangerous frequencies are accurate, reliable, and credible. When the first natural frequency obtained from the analysis of the test vibration response data is the resonance dangerous frequency, it is necessary to ensure that the first natural frequency obtained from the test is consistent with it.

[0119] S407, if the third deviation between the corrected first natural frequency and the test first natural frequency is less than the preset threshold, then determine that the corrected simulation digital model is the simulation digital model of the CT gantry.

[0120] In one embodiment, if the third deviation between the corrected first natural frequency and the test first natural frequency is less than the preset threshold, then determine that the corrected simulation digital model is the simulation digital model of the CT gantry.

[0121] It can be understood that the simulation digital model can be corrected repeatedly many times. After correcting the model, analyze and verify it to control the error within ±5%. Then, use the corrected model to optimize the CT gantry, such as strengthening the base and replacing the connecting plate material to increase the natural frequency and avoid dangerous frequencies.

[0122] For example, select the simulation digital model as the finite element model. The preliminary establishment and analysis of the finite element model can quickly give the approximate results of the vibration characteristics of the CT gantry, reducing unnecessary test attempts. Based on comparative analysis, targeted correction of the model is carried out, avoiding repeated calculations caused by inaccurate models in the pure finite element method and also avoiding the blindness of the pure test method. When solving the 5.7 Hz dangerous frequency problem, quickly identify the unreasonable parts of the material parameters, boundary conditions, and load settings in the model and make corrections. Compared with the pure test method, it can save about 30%-50% of the test time and cost, accelerating the process of optimizing the design of the CT gantry.

[0123] Please refer to Figure 6 , which is an example schematic diagram of a structure optimization method provided by an embodiment of the present application. As Figure 6As shown, when a resonance problem is found in a certain type of CT rack, numerical modal simulation and experimental modal analysis can be performed on it. Numerical modal simulation refers to finite element modal analysis (simulation static modal analysis) based on numerical modal mechanism, and finite element modal results (simulation vibration response data) are obtained. The modal test results (experimental vibration response data) obtained by the test based on the experimental modal analysis mechanism are compared and analyzed, wherein Simcenter Testlab is an integrated test and data analysis platform provided by Siemens. It is used for experimental testing, data acquisition and post-analysis, and is widely used in the test of structure, acoustics, vibration and multi-physics field. As an example only, other simulation software can also be used to realize the collection and analysis of experimental data. Further, harmonic response simulation is performed based on the finite element model to obtain harmonic response peak value and vibration type (simulation working vibration response data), and the actual machine is also subjected to working modal test to obtain working modal peak value and vibration type (experimental working vibration response data), and the harmonic response peak value and vibration type are compared with the working modal peak value and vibration type, and the structure is optimized according to the comparison result. After structural optimization, the optimized CT frame is tested and simulated until the amplitude and peak frequency meet the requirements, thus completing the optimization of the CT structure.

[0124] In the embodiment of the present application, by determining the first deviation between the first peak frequency and the second peak frequency, determining the second deviation between the first order natural frequency of the test and the first order natural frequency of the simulation, determining the correction strategy of the simulation digital model based on the first deviation and the second deviation, adjusting the model parameters of the simulation digital model according to the correction strategy, obtaining the corrected simulation digital model, obtaining the corrected simulation vibration response data of the CT frame under the simulation modal test based on the corrected simulation digital model, analyzing the corrected simulation vibration response data to obtain the corrected first order natural frequency, if the third deviation between the corrected first order natural frequency and the first order natural frequency of the test is less than the preset threshold, then determining that the corrected simulation digital model is the simulation digital model of the CT frame. In this way, through data collection and analysis at different stages, the vibration characteristics of the CT frame are fully understood from multiple angles, providing a solid foundation for accurate analysis and optimization design, and at the same time, through data comparison, the finite element model is targetedly corrected based on the comparison results, effectively compensating for the inaccuracy of the finite element model in terms of material properties, boundary conditions and load simulation, and significantly improving the analysis accuracy.

[0125] The following will be combined with the attached Figure 7 , the structural optimization device provided in the embodiment of the present application is introduced in detail. It should be noted that the attached Figure 7 The structural optimization device in the embodiment of the present invention is used to implement the present invention Figures 2 - 6For the method of the illustrated embodiment, for the sake of convenience of description, only the parts related to the embodiments of the present application are shown. For the specific technical details not disclosed, please refer to this specification Figures 2 - 6 the illustrated embodiment.

[0126] Please refer to Figure 7 , which shows a schematic structural diagram of a structure optimization device provided by an exemplary embodiment of the present application. The structure optimization device can be implemented as all or part of the device through software, hardware, or a combination of both. The device 1 includes a test modal unit 11, an operating modal unit 12, a numerical modal simulation unit 13, an operating modal simulation unit 14, a dangerous frequency determination unit 15, and a structure optimization unit 16.

[0127] The test modal unit 11 is configured to obtain test vibration response data of the CT gantry under static modal testing;

[0128] The operating modal unit 12 is configured to obtain test operating vibration response data of the CT gantry under dynamic operating modal testing;

[0129] The numerical modal simulation unit 13 is configured to obtain simulation vibration response data of the CT gantry under simulated static modal testing based on the simulation digital model of the CT gantry;

[0130] The operating modal simulation unit 14 is configured to obtain simulation operating vibration response data of the CT gantry under simulated dynamic operating modal testing based on the simulation digital model of the CT gantry;

[0131] The dangerous frequency determination unit 15 is configured to determine the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test operating vibration response data, and the simulation operating vibration response data;

[0132] The structure optimization unit 16 is configured to determine a structure optimization strategy for the CT gantry based on the resonance dangerous frequency.

[0133] Optionally, the dangerous frequency determination unit 15 is specifically configured to analyze the test operating vibration response data to obtain the first peak frequency and the first vibration mode of the CT gantry;

[0134] analyze the simulation operating vibration response data to obtain the second peak frequency and the second vibration mode of the CT gantry;

[0135] Based on the first vibration mode and the second vibration mode, determine the common peak frequencies with the same vibration mode from the first peak frequency and the second peak frequency;

[0136] Analyze the test vibration response data to obtain the first-order natural frequency of the CT gantry in the test.

[0137] Analyze the simulation vibration response data to obtain the first-order natural frequency of the CT gantry in the simulation.

[0138] Determine the first-order natural frequency closest to the common peak frequency from the first-order natural frequency of the test and the first-order natural frequency of the simulation as the target first-order natural frequency.

[0139] If the target first-order natural frequency is a set multiple of the rotational frequency corresponding to the motor speed of the CT gantry, determine that the target first-order natural frequency is the resonance risk frequency.

[0140] Optionally, the risk frequency determination unit 15 is further configured to determine the first deviation between the first peak frequency and the second peak frequency.

[0141] Determine the second deviation between the first-order natural frequency of the test and the first-order natural frequency of the simulation.

[0142] Determine the correction strategy for the simulation digital model based on the first deviation and the second deviation.

[0143] Optionally, the risk frequency determination unit 15 is further configured to adjust the model parameters of the simulation digital model according to the correction strategy to obtain a corrected simulation digital model.

[0144] Based on the corrected simulation digital model, obtain the corrected simulation vibration response data of the CT gantry under the simulation modal test.

[0145] Analyze the corrected simulation vibration response data to obtain the corrected first-order natural frequency.

[0146] If the third deviation between the corrected first-order natural frequency and the first-order natural frequency of the test is less than the preset threshold, determine that the corrected simulation digital model is the simulation digital model of the CT gantry. Optionally, the numerical modal simulation unit 13 is further configured to construct a three-dimensional solid model of the CT gantry according to the geometric dimension information of the CT gantry.

[0147] Generate a simulation digital model of the CT gantry based on the three-dimensional solid model, and perform mesh division on the simulation digital model.

[0148] Determine the material parameters in the simulation digital model according to the material information of the CT gantry.

[0149] Determine the boundary conditions in the simulation digital model according to the installation information and equipment operation information of the CT gantry.

[0150] Optionally, the test mode unit 11 is specifically configured to determine the key parts of the CT gantry based on the static analysis results of the CT gantry;

[0151] Based on the sensors installed at each of the key parts, obtain the test vibration response data of the CT gantry under static mode testing.

[0152] Optionally, the operating mode unit 12 is specifically configured to determine the vibration source, propagation path, and vibration concentration area of the CT gantry during operation based on the operating conditions of the CT gantry;

[0153] Based on the vibration source, the propagation path, and the vibration concentration area, determine additional key parts other than the key parts;

[0154] Based on the sensors installed at each of the key parts and the additional key parts, obtain the test working vibration response data of the CT during dynamic operating mode testing.

[0155] It should be noted that when the structure optimization device provided in the above embodiments executes the structure optimization method, only the division of the above functional modules is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the structure optimization device provided in the above embodiments and the structure optimization method embodiments belong to the same concept, and the implementation process thereof is detailed in the method embodiments, which will not be elaborated here.

[0156] The serial numbers of the above embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments. In some cases, the actions or steps recorded in the claims can be executed in a different order from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0157] The embodiments of the present application also provide a storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the method as described in the above Figures 2 - 6 illustrated embodiments. The specific execution process can refer to Figures 2 - 6 the specific description of the illustrated embodiments and will not be elaborated here.

[0158] Please refer to Figure 8, which shows a schematic structural diagram of an electronic device provided by an exemplary embodiment of this specification. The electronic device in this specification may include one or more of the following components: a processor 110, a memory 120, an input device 130, an output device 140, and a bus 150. The processor 110, the memory 120, the input device 130, and the output device 140 may be connected through the bus 150.

[0159] The processor 110 may include one or more processing cores. The processor 110 uses various interfaces and circuits to connect various parts within the entire electronic device. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and by calling data stored in the memory 120, it executes various functions of the terminal 100 and processes data. Optionally, the processor 110 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 110 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interfaces, and application programs, etc.; the GPU is responsible for rendering and drawing display content; the modem is used to process wireless communications. It can be understood that the above modem may not be integrated into the processor 110 and may be implemented separately through a communication chip.

[0160] The memory 120 may include a Random Access Memory (RAM), or may also include a Read-Only Memory (ROM). Optionally, the memory 120 includes a Non-Transitory Computer-Readable Storage Medium. The memory 120 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 120 may include a program storage area and a data storage area. Among them, the program storage area can store instructions for implementing the operating system, instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc. The operating system can be an Android system, including a system developed based on the Android system in depth, an IOS system developed by Apple Inc., including a system developed based on the IOS system in depth, or other systems.

[0161] The memory 120 can be divided into an operating system space and a user space. The operating system runs in the operating system space, and native and third-party application programs run in the user space. In order to ensure that different third-party application programs can all achieve better running effects, the operating system allocates corresponding system resources for different third-party application programs. However, there are also differences in the system resource requirements of different application scenarios in the same third-party application program. For example, in the local resource loading scenario, the third-party application program has a higher requirement for the disk reading speed; in the animation rendering scenario, the third-party application program has a higher requirement for the GPU performance. The operating system and the third-party application program are independent of each other, and the operating system often cannot timely perceive the current application scenario of the third-party application program, resulting in the operating system being unable to perform targeted system resource adaptation according to the specific application scenario of the third-party application program.

[0162] In order to enable the operating system to distinguish the specific application scenarios of third-party application programs, it is necessary to open up the data communication between the third-party application programs and the operating system, so that the operating system can obtain the current scenario information of the third-party application programs at any time, and then perform targeted system resource adaptation based on the current scenario.

[0163] Among them, the input device 130 is used to receive input instructions or data. The input device 130 includes, but is not limited to, a keyboard, a mouse, a camera, a microphone or a touch device. The output device 140 is used to output instructions or data. The output device 140 includes, but is not limited to, a display device and a speaker, etc. In one example, the input device 130 and the output device 140 can be combined, and the input device 130 and the output device 140 are a touch display screen.

[0164] The touch display screen can be designed as a full-screen, curved screen or irregular-shaped screen. The touch display screen can also be designed as a combination of a full-screen and a curved screen, or a combination of an irregular-shaped screen and a curved screen. The embodiments of the present application do not limit this.

[0165] In addition, those skilled in the art can understand that the structure of the electronic device shown in the above drawings does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the drawings, or combine some components, or have different component arrangements. For example, the electronic device also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a WiFi module, a power supply, a Bluetooth module, etc., which will not be elaborated here.

[0166] In Figure 8 the electronic device shown, the processor 110 can be used to call the computer program stored in the memory 120 and specifically perform the following operations:

[0167] Obtain the test vibration response data of the CT gantry under static modal testing;

[0168] Obtain the test working vibration response data of the CT gantry under dynamic working modal testing;

[0169] Based on the simulation digital model of the CT gantry, obtain the simulation vibration response data of the CT gantry under simulation static modal testing;

[0170] Based on the simulation digital model of the CT gantry, obtain the simulation working vibration response data of the CT gantry under simulation dynamic working modal testing;

[0171] Based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data and the simulation working vibration response data, determine the resonance dangerous frequency of the CT gantry;

[0172] Based on the resonance dangerous frequency, determine the structure optimization strategy of the CT gantry.

[0173] In one embodiment, when the processor 110 executes to determine the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data and the simulation working vibration response data, it specifically performs the following operations:

[0174] Analyze the test working vibration response data to obtain the first peak frequency and the first vibration mode of the CT gantry;

[0175] Analyze the simulation working vibration response data to obtain the second peak frequency and the second vibration mode of the CT gantry;

[0176] Based on the first vibration mode and the second vibration mode, determine the common peak frequencies with the same vibration mode from the first peak frequency and the second peak frequency;

[0177] Analyze the test vibration response data to obtain the first-order natural frequency of the CT gantry in the test;

[0178] Analyze the simulated vibration response data to obtain the first-order natural frequency of the CT gantry in the simulation;

[0179] Determine the first-order natural frequency closest to the common peak frequency from the first-order natural frequency of the test and the first-order natural frequency of the simulation as the target first-order natural frequency;

[0180] If the target first-order natural frequency is a set multiple of the rotational frequency corresponding to the motor speed of the CT gantry, determine that the target first-order natural frequency is a resonance risk frequency.

[0181] In one embodiment, the processor 110 may further be configured to perform the following operations:

[0182] Determine a first deviation between the first peak frequency and the second peak frequency;

[0183] Determine a second deviation between the first-order natural frequency of the test and the first-order natural frequency of the simulation;

[0184] Determine a correction strategy for the simulation digital model based on the first deviation and the second deviation.

[0185] In one embodiment, after the processor 110 determines the correction strategy for the simulation digital model based on the first deviation and the second deviation, it further performs the following operations:

[0186] Adjust the model parameters of the simulation digital model according to the correction strategy to obtain a corrected simulation digital model;

[0187] Based on the corrected simulation digital model, obtain the corrected simulation vibration response data of the CT gantry under the simulation modal test;

[0188] Analyze the corrected simulation vibration response data to obtain the corrected first-order natural frequency;

[0189] If a third deviation between the corrected first-order natural frequency and the first-order natural frequency of the test is less than a preset threshold, determine that the corrected simulation digital model is the simulation digital model of the CT gantry.

[0190] In one embodiment, before the processor 110 executes the simulation digital model based on the CT gantry to obtain the simulation vibration response data of the CT gantry under the simulation static modal test, the following operations are further performed:

[0191] Construct a three-dimensional solid model of the CT gantry according to the geometric dimension information of the CT gantry;

[0192] Generate a simulation digital model of the CT gantry based on the three-dimensional solid model, and perform mesh division on the simulation digital model;

[0193] Determine the material parameters in the simulation digital model according to the material information of the CT gantry;

[0194] Determine the boundary conditions in the simulation digital model according to the installation information and equipment operation information of the CT gantry.

[0195] In one embodiment, before the processor 110 executes to obtain the test vibration response data of the CT gantry under the static modal test, the following operations are further performed:

[0196] Determine the key parts of the CT gantry based on the static analysis results of the CT gantry;

[0197] Obtain the test vibration response data of the CT gantry under the static modal test based on the sensors installed on each of the key parts.

[0198] In one embodiment, when the processor 110 executes to obtain the test working vibration response data of the CT gantry under the dynamic working modal test, the following operations are specifically performed:

[0199] Determine the vibration source, propagation path, and vibration concentration area during the operation of the CT gantry based on the operating conditions of the CT gantry;

[0200] Determine the new key parts except the key parts based on the vibration source, the propagation path, and the vibration concentration area;

[0201] Obtain the test working vibration response data of the CT under the dynamic working modal test based on the sensors installed on each of the key parts and the new key parts.

[0202] In the embodiment of the present application, by obtaining the test vibration response data of the CT gantry under static modal testing, obtaining the test working vibration response data of the CT gantry under dynamic working modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation vibration response data of the CT gantry under simulated static modal testing, based on the simulation digital model of the CT gantry, obtaining the simulation working vibration response data of the CT gantry under simulated dynamic working modal testing, determining the resonance dangerous frequency of the CT gantry based on the motor speed, test vibration response data, simulation vibration response data, test working vibration response data, and simulation working vibration response data of the CT gantry, and determining the structural optimization strategy of the CT gantry based on the resonance dangerous frequency. By combining experiments and simulations to jointly analyze the vibration characteristics of the CT gantry, and through comparative experiments from the modal analysis in the static state and the modal analysis in the working state in experiments and simulations respectively to obtain the natural vibration characteristics and the dynamic response in the working state, combined with the working characteristics of the CT gantry as a rotating device, that is, the motor speed in the CT gantry that is prone to cause vibration, the resonance dangerous frequency of the CT gantry can be accurately located, and thus the structure can be improved based on the determined resonance dangerous frequency to improve the stability and reliability of the CT gantry.

[0203] Furthermore, based on the geometric dimension information of the CT gantry, a three-dimensional solid model of the CT gantry is constructed, a simulation digital model of the CT gantry is generated based on the three-dimensional solid model, mesh division is performed on the simulation digital model, according to the material information of the CT gantry, the material parameters in the simulation digital model are determined, according to the installation information and equipment operation information of the CT gantry, the boundary conditions in the simulation digital model are determined, so as to achieve as accurate a simulation of the CT gantry as possible. Based on the static analysis results of the CT gantry, the key parts of the CT gantry are determined, and based on the sensors installed on each key part, the test vibration response data of the CT gantry under static modal testing are obtained, thereby improving the data accuracy under static modal testing. Then, based on the operating conditions of the CT gantry, the vibration source, propagation path, and vibration concentration area during the operation of the CT gantry are determined, new key parts other than the key parts are determined based on the vibration source, propagation path, and vibration concentration area, and the test working vibration response data of the CT during dynamic working modal testing are obtained based on the sensors installed on each key part and the new key parts. On the basis of modal testing, sensors are added to ensure comprehensive monitoring of the vibration situation and improve the test accuracy.

[0204] Furthermore, the first peak frequency and the first vibration mode of the CT frame are obtained by analyzing the experimental working vibration response data, the second peak frequency and the second vibration mode of the CT frame are obtained by analyzing the simulation working vibration response data, the common peak frequency with the same vibration mode is determined from the first peak frequency and the second peak frequency, the experimental vibration response data is analyzed to obtain the experimental first-order natural frequency of the CT frame, the simulation vibration response data is analyzed to obtain the simulated first-order natural frequency of the CT frame, and the first-order natural frequency closest to the common peak frequency is determined from the experimental first-order natural frequency and the simulated first-order natural frequency as the target first-order natural frequency. If the target first-order natural frequency is a set multiple of the rotation frequency corresponding to the motor speed of the CT frame, the target first-order natural frequency is determined to be a resonance danger frequency. In this way, the experimental and simulation test results can be combined, and the vibration characteristics that are closer to the actual situation are determined by the assistance of static modal analysis and dynamic modal analysis, and then the resonance danger frequency is accurately determined in combination with the motor speed.

[0205] Furthermore, by determining the first deviation between the first peak frequency and the second peak frequency, the second deviation between the first order natural frequency of the test and the first order natural frequency of the simulation is determined, the correction strategy of the simulation digital model is determined based on the first deviation and the second deviation, the model parameters of the simulation digital model are adjusted according to the correction strategy, and the corrected simulation digital model is obtained. Based on the corrected simulation digital model, the corrected simulation vibration response data of the CT frame under the simulation modal test is obtained, and the corrected simulation vibration response data is analyzed to obtain the corrected first order natural frequency. If the third deviation between the corrected first order natural frequency and the first order natural frequency of the test is less than the preset threshold, the corrected simulation digital model is determined to be the simulation digital model of the CT frame. In this way, through data collection and analysis at different stages, the vibration characteristics of the CT frame are fully understood from multiple angles, which provides a solid foundation for accurate analysis and optimization design. At the same time, through data comparison, the finite element model is targetedly corrected based on the comparison results, which effectively compensates for the inaccuracy of the finite element model in material properties, boundary conditions and load simulation, and significantly improves the analysis accuracy.

[0206] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0207] The above-disclosed content is only the preferred embodiment of this specification. Of course, it cannot be used to limit the scope of rights of this specification. Therefore, equivalent changes made according to the claims of this specification still fall within the scope covered by this specification.

Claims

1. A structure optimization method, characterized in that, The method includes: Obtaining the test vibration response data of the CT gantry under static modal testing; Obtaining the test working vibration response data of the CT gantry under dynamic working modal testing; Based on the simulation digital model of the CT gantry, obtaining the simulation vibration response data of the CT gantry under simulation static modal testing; Based on the simulation digital model of the CT gantry, obtaining the simulation working vibration response data of the CT gantry under simulation dynamic working modal testing; Determining the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data; Determining the structural optimization strategy of the CT gantry based on the resonance dangerous frequency.

2. The method according to claim 1, wherein The determining the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulation vibration response data, the test working vibration response data, and the simulation working vibration response data includes: Analyzing the test working vibration response data to obtain the first peak frequency and the first vibration mode of the CT gantry; Analyzing the simulation working vibration response data to obtain the second peak frequency and the second vibration mode of the CT gantry; Based on the first vibration mode and the second vibration mode, determining the common peak frequencies with the same vibration mode from the first peak frequency and the second peak frequency; Analyzing the test vibration response data to obtain the first natural frequency of the first order of the CT gantry; Analyzing the simulation vibration response data to obtain the first natural frequency of the first order of the CT gantry in simulation; Determining the first natural frequency of the first order closest to the common peak frequency from the first natural frequency of the first order of the test and the first natural frequency of the first order of the simulation as the target first natural frequency; If the target first natural frequency is a set multiple of the rotational frequency corresponding to the motor speed of the CT gantry, determining the target first natural frequency as the resonance dangerous frequency.

3. The method according to claim 2, wherein The method further includes: Determining a first deviation between the first peak frequency and the second peak frequency; Determining a second deviation between the first natural frequency of the first order of the test and the first natural frequency of the first order of the simulation; Determining the correction strategy of the simulation digital model based on the first deviation and the second deviation.

4. The method according to claim 3, wherein After determining the correction strategy of the simulation digital model based on the first deviation and the second deviation, it further includes: Adjusting the model parameters of the simulation digital model according to the correction strategy to obtain a corrected simulation digital model; Based on the corrected simulation digital model, obtaining the corrected simulation vibration response data of the CT gantry under simulation modal testing; Analyzing the corrected simulation vibration response data to obtain the corrected first natural frequency of the first order; If the third deviation between the corrected first natural frequency of the first order and the first natural frequency of the first order of the test is less than a preset threshold, determining the corrected simulation digital model as the simulation digital model of the CT gantry.

5. The method according to claim 1, wherein Before obtaining the simulated vibration response data of the CT gantry under the simulated static modal test based on the simulated digital model of the CT gantry, it further includes: Construct a three-dimensional solid model of the CT gantry according to the geometric dimension information of the CT gantry; Generate a simulated digital model of the CT gantry based on the three-dimensional solid model, and perform mesh division on the simulated digital model; Determine the material parameters in the simulated digital model according to the material information of the CT gantry; Determine the boundary conditions in the simulated digital model according to the installation information and equipment operation information of the CT gantry.

6. The method according to claim 1, characterized in that Before obtaining the test vibration response data of the CT gantry under the static modal test, it further includes: Determine the key parts of the CT gantry based on the static analysis results of the CT gantry; Obtain the test vibration response data of the CT gantry under the static modal test based on the sensors installed on each of the key parts.

7. The method according to claim 6, wherein The obtaining of the test working vibration response data of the CT gantry under the dynamic working modal test includes: Determine the vibration source, propagation path, and vibration concentration area of the CT gantry during operation based on the operating conditions of the CT gantry; Determine the new key parts other than the key parts based on the vibration source, the propagation path, and the vibration concentration area; Obtain the test working vibration response data of the CT under the dynamic working modal test based on the sensors installed on each of the key parts and the new key parts.

8. A structure optimization device, characterized in that, The device includes: A test modal unit for obtaining the test vibration response data of the CT gantry under the static modal test; A working modal unit for obtaining the test working vibration response data of the CT gantry under the dynamic working modal test; A numerical modal simulation unit for obtaining the simulated vibration response data of the CT gantry under the simulated static modal test based on the simulated digital model of the CT gantry; A working modal simulation unit for obtaining the simulated working vibration response data of the CT gantry under the simulated dynamic working modal test based on the simulated digital model of the CT gantry; A dangerous frequency determination unit for determining the resonance dangerous frequency of the CT gantry based on the motor speed of the CT gantry, the test vibration response data, the simulated vibration response data, the test working vibration response data, and the simulated working vibration response data; A structure optimization unit for determining the structure optimization strategy of the CT gantry based on the resonance dangerous frequency.

9. An electronic device, characterized in that, It includes: A processor and a memory; Wherein the memory stores a computer program, and the computer program is adapted to be loaded and executed by the processor to perform the steps of the method according to any one of claims 1 to 7.

10. A storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 7.

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