Slamming acceleration accurate measurement method for low-speed water entry problem

Abstract

The invention provides a slamming acceleration accurate measurement method for a low-speed water entry problem, and belongs to the technical field of ship wave load tests.The method comprises the steps that a piezoelectric acceleration sensor and a capacitive acceleration sensor are arranged at the center of a model to form a measurement system, and slamming acceleration signal measurement and data acquisition are conducted synchronously; collecting high-frequency acceleration data of the piezoelectric acceleration sensor; collecting low-frequency acceleration data of the capacitive acceleration sensor; and superposing and synthesizing the high-frequency acceleration data and the low-frequency acceleration data to obtain a synthesized slamming acceleration signal. According to the invention, the problems of static acceleration signal loss and zero drift of the piezoelectric acceleration sensor are solved through a numerical optimization mode of signal correction; compared with the independent measurement of a high-frequency response capacitive slamming acceleration sensor, the noise of the acceleration signals is reduced and the signal-to-noise ratio is improved while the accurate measurement of high-frequency and low-frequency acceleration signals is considered in the existing test scheme.

Description

Technical Field

[0001] The present invention belongs to the technical field of ship wave load testing, and in particular relates to a method for accurately measuring slamming acceleration of a low-speed water entry problem. Background Art

[0002] Water slamming is a common environmental load issue for marine structures operating across mediums, such as ships, marine robots, and seaplanes. Slamming loads are transient, high-frequency, and highly nonlinear. Compared to low-frequency, periodic wave loads, slamming loads are more difficult to measure and pose a greater risk to marine structures. Accurately measuring and predicting slamming loads has significant scientific significance and engineering application value.

[0003] Slamming acceleration is an important slamming dynamic load metric and a key parameter for assessing the structural safety of ship hulls and the impact resistance of electronic components. Therefore, accurate measurement of slamming acceleration is a key technology for slamming load assessment. During water entry, structures are subjected to the combined effects of inertial loads (gravity) and slamming loads. Slamming acceleration is a composite of gravitational acceleration and slamming force acceleration. Accurate measurement of slamming acceleration requires accurate measurement of both gravitational acceleration (zero frequency) and high-frequency slamming force acceleration.

[0004] Traditional methods for measuring slamming acceleration often use piezoelectric slamming accelerometers. These sensors offer excellent high-frequency dynamic response and low noise, making them suitable for measuring high-frequency slamming accelerations. However, they suffer from persistent signal loss when measuring low-frequency acceleration signals, such as gravity. Because the forces acting on an object during a water impact are often dominated by the impact force, gravity has a minimal impact on the peak value of the resulting slamming acceleration. In these cases, the piezoelectric sensor's measurement error of gravity acceleration can often be ignored. However, for low-speed water impacts, such as those involving the forced landing of heavy seaplanes or the deployment of heavy marine robots, the gravity effect is very pronounced, and piezoelectric accelerometers can produce significant measurement errors.

[0005] Capacitive accelerometers are often used to measure low-frequency accelerations such as gravity. These sensors offer stable static measurement accuracy, but they have a lower natural frequency and limited dynamic frequency response accuracy compared to piezoelectric sensors. Furthermore, their signal noise is greater than that of piezoelectric sensors. This results in significant errors in the measurement of high-frequency dynamic loads such as impact acceleration.

[0006] Currently, existing measurement methods for water impact, where gravity effects are significant, cannot accurately measure both high- and low-frequency accelerations. The technical level in this field needs to be further improved. Summary of the Invention

[0007] In view of the deficiencies of the existing technology, the present invention proposes an accurate measurement method for slamming acceleration in the problem of low-speed water entry, providing a basis for numerical optimization through the measurement of different types of acceleration sensors, and then solving the DC signal loss problem of the piezoelectric acceleration sensor based on the numerical optimization method, thereby accurately measuring the slamming acceleration of the model during water entry.

[0008] The present invention is realized through the following technical solutions: An accurate measurement system for slamming acceleration in the problem of low-speed water entry:

[0009] The slamming acceleration accurate measurement system includes: a piezoelectric acceleration sensor, a capacitive acceleration sensor, a sliding tooling, a slamming model, a water tank, a slamming test guide rail frame, and a data collector;

[0010] The piezoelectric acceleration sensor and the capacitive acceleration sensor are fixed on the upper surface of the slamming model, and the fixed position is directly above the center of gravity of the model;

[0011] The sliding tooling is rigidly connected to the slamming model. Movement motors and sliders are provided around the sliding tooling, and the sliders are fixed on the guide rails of the slamming test guide rail frame to control the vertical movement of the slamming model along the guide rails;

[0012] The slamming test guide rail frame is rigidly fixed inside the water tank with bolts to prevent the test system from vibrating during slamming and interfering with the acceleration measurement;

[0013] The piezoelectric acceleration sensor and the capacitive acceleration sensor are synchronously connected to the data collector through signal transmission lines to achieve synchronous acquisition of the signals of the two sensors.

[0014] Furthermore, the distance between the piezoelectric acceleration sensor and the capacitive acceleration sensor is less than 5 cm.

[0015] An accurate measurement method for slamming acceleration in the problem of low-speed water entry: The method specifically includes the following steps:

[0016] Step 1, arrange the piezoelectric acceleration sensor and the capacitive acceleration sensor at the center position of the model to form a measurement system, and synchronously measure and collect the slamming acceleration signals;

[0017] Step 2, collect the high-frequency acceleration data of the piezoelectric acceleration sensor;

[0018] Step 3, collect the low-frequency acceleration data of the capacitive acceleration sensor;

[0019] Step 4, superimpose and synthesize the high-frequency acceleration obtained in Step 2 and the low-frequency acceleration data obtained in Step 3 to obtain a synthesized slamming acceleration signal.

[0020] Furthermore, in Step 1,

[0021] The sampling frequencies of the piezoelectric acceleration sensor and the capacitive acceleration sensor are 10 kHz, and the relative measurement error needs to be less than 2%.

[0022] Furthermore, in step two,

[0023] The measurement data of the piezoelectric acceleration sensor is subjected to high-pass filtering through a filter with a cut-off frequency of f0 to obtain the slamming force acceleration data during the water entry slamming process, and the high-frequency slamming acceleration time history curve is extracted.

[0024] Furthermore, in step three,

[0025] The measurement data of the capacitive acceleration sensor is subjected to low-pass filtering through a filter with a cut-off frequency of f0 to obtain the low-frequency acceleration data during the water entry slamming process, and the low-frequency acceleration time history curve including gravity and buoyancy is extracted.

[0026] Furthermore,

[0027] The filter first preprocesses the signal of the piezoelectric acceleration sensor by frame division and windowing, and then uses the discrete Fourier transform to transform the preprocessed acceleration signal from the time domain to the frequency domain to obtain the spectrum of the acceleration signal;

[0028] For the spectrum signal of the piezoelectric acceleration sensor, the components below the cut-off frequency f0 are set to zero to complete high-pass filtering, and the high-pass filtered acceleration spectrum is subjected to inverse Fourier transform to be transformed from the frequency domain to the time domain signal;

[0029] For the spectrum signal of the capacitive acceleration sensor, the components above the cut-off frequency f0 are set to zero to complete low-pass filtering, and the low-pass filtered acceleration spectrum is subjected to inverse Fourier transform to be transformed from the frequency domain to the time domain signal.

[0030] Furthermore, in step four,

[0031] The low-frequency distortion signal of the piezoelectric acceleration sensor is corrected by the low-frequency high-precision characteristic of the capacitive acceleration sensor;

[0032] In the low-frequency band f ≤ f0, the measured value of the capacitive acceleration sensor is directly used to replace the distorted signal of the piezoelectric sensor;

[0033] In the high-frequency band f ≥ f0, the measured value of the piezoelectric acceleration sensor is used to avoid the high-frequency noise of the capacitive acceleration sensor.

[0034] An electronic device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0035] A computer-readable storage medium for storing computer instructions, which when executed by a processor implement the steps of the above method.

[0036] Advantages of the present invention

[0037] Compared with the prior art, the advantages of the present invention are:

[0038] 1. The problems of static acceleration signal loss and zero drift of the piezoelectric acceleration sensor are solved by means of numerical optimization of signal correction.

[0039] 2. Compared with the use of a high-frequency response capacitive impact acceleration sensor alone for measurement, the existing test scheme reduces the noise of the acceleration signal and improves the signal-to-noise ratio while taking into account the accurate measurement of high-frequency and low-frequency acceleration signals.

[0040] 3. A general correction method for piezoelectric acceleration sensors with different parameters is given by judging through the signal correction process, which has universality.

[0041] 4. The signal correction method in the present invention reduces the requirements for hardware parameters such as the natural frequency and dynamic frequency response of the capacitive impact acceleration sensor during the accurate measurement of impact acceleration, broadens the selection range of sensors, and effectively saves the test cost of sensor procurement. Description of the drawings

[0042] Figure 1 It is a frequency response error diagram of a piezoelectric acceleration sensor, showing the signal measurement ability of the piezoelectric acceleration sensor;

[0043] Figure 2 It is a frequency response error diagram of a capacitive acceleration sensor, showing the signal measurement ability of the capacitive acceleration sensor;

[0044] Figure 3 It is a schematic diagram of the arrangement of impact sensors, showing the sensor arrangement method required for the accurate measurement of impact acceleration, where the piezoelectric acceleration sensor 1, the capacitive acceleration sensor 2, the sliding tooling 3, the impact model 4, the water tank 5, the impact test guide rail frame 6, and the data collector 7;

[0045] Figure 4 It is a top view of the arrangement of the acceleration sensor system;

[0046] Figure 5 It is an effect diagram of high-frequency signal extraction;

[0047] Figure 6 It is an effect diagram of low-frequency signal extraction;

[0048] Figure 7 It is a flow chart of the impact acceleration measurement of the present invention;

[0049] Figure 8 The effect diagram of the slamming acceleration measurement signal of the present invention;

[0050] Figure 9 The noise reduction effect diagram of the present invention. Specific embodiments

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0052] The experimental methods used in the following embodiments are all conventional methods unless otherwise specified. The materials, reagents, methods, and instruments used, unless otherwise specified, are all conventional materials, reagents, methods, and instruments in the art, and those skilled in the art can obtain them through commercial channels.

[0053] The frequency response error curve of the acceleration sensor is as shown in Figure 1 and Figure 2 First, according to the calibration certificate, verification report of the sensor, or the test results of the on-site exciter, determine the frequency response error curve of the sensor. Taking the sensitivity of the sensor at 160 Hz as the standard sensitivity, the frequency response error curve represents the relative measurement error of the sensor when measuring acceleration signals at different frequencies. The lowest effective measurement frequency F0 of the piezoelectric acceleration sensor can be obtained by reading the frequency response error curve. Taking Figure 1 as an example, the corresponding F0 of this type of piezoelectric acceleration sensor is 20 Hz.

[0054] The slamming acceleration signal measurement system is as shown in Figure 3 and mainly includes a piezoelectric acceleration sensor 1; a capacitive acceleration sensor 2; a sliding tooling 3; a slamming model 4; a water tank 5; a slamming test guide rail frame 6; and a data collector 7.

[0055] The connection and arrangement requirements of the slamming acceleration signal measurement system are as follows:

[0056] (1) The piezoelectric acceleration sensor 1 and the capacitive acceleration sensor 2 are fixed on the upper surface of the slamming model 4, and the fixed position is directly above the center of gravity of the model, as shown in Figure 4 . The piezoelectric and capacitive acceleration sensors are arranged at the center position of the model to form a measurement system, and the slamming acceleration signal measurement and data acquisition are carried out synchronously.

[0057] (2) The distance between the piezoelectric acceleration sensor 1 and the capacitive acceleration sensor 2 should not exceed 5 cm to avoid significant phase differences in the acceleration signals measured by the two sensors.

[0058] (3) The slamming model 4 is rigidly connected to the sliding tooling 3. Motion motors and sliders are arranged around the sliding tooling. The sliders are fixed on the rails of the slamming test guide frame 6 to control the vertical movement of the slamming model 4 along the rails.

[0059] (4) The slamming test guide frame 6 is rigidly fixed inside the water tank 5 with bolts to avoid vibration interference in the acceleration measurement during the slamming process.

[0060] (5) The piezoelectric acceleration sensor 1 and the capacitive acceleration sensor 2 are synchronously connected to the data collector 7 through signal transmission lines to achieve synchronous signal acquisition of the two sensors.

[0061] Before the measurement starts, it is necessary to clarify the effective measurement ranges and dynamic frequency response error distributions of the piezoelectric acceleration sensor and the capacitive acceleration sensor. The relative measurement error being lower than 2% is the qualified standard, and the lowest effective measurement frequency of the piezoelectric acceleration sensor is defined as f0. f0 is usually between 10 and 50 Hz.

[0062] The measurement process of the slamming acceleration signal measurement system is as follows:

[0063] (1) After the measurement system is arranged, click on the data collector 7 to start collecting at a sampling frequency of 10 kHz. At this time, the acceleration sensors 1 and 2 start to output signals to the data collector;

[0064] (2) Control the motor in the sliding tooling 3 to make the slamming model 4 slide down along the rails to complete the water entry slamming;

[0065] (3) After confirming that the slamming acceleration signal collection is completed, click on the data collector 7 to stop collecting.

[0066] The slamming acceleration data processing flow is as follows,

[0067] (1) Read the original data signals of the acceleration sensors 1 and 2 to form a preprocessing file.

[0068] (2) Use a filter to perform high-pass filtering on the signal of the piezoelectric acceleration sensor 1. The filter cut-off frequency is f0, and the high-frequency slamming acceleration time history curve is extracted, as Figure 5 shown.

[0069] The filter first preprocesses the signal of the piezoelectric acceleration sensor through frame division and windowing. To avoid spectral leakage, the signal is divided into frames of length L, and each frame is multiplied by a window function to reduce the edge effect;

[0070] X win [n] = X[n]·w[n] (1)

[0071] where w[n] is a window function.

[0072] Then, the preprocessed acceleration signal is transformed from the time domain to the frequency domain by using the discrete Fourier transform to obtain the spectrum of the acceleration signal. The discrete Fourier transform formula is shown in (1)

[0073]

[0074] where X win [n] is the time-domain signal after windowing, and L is the window length.

[0075] For the spectrum signal of the piezoelectric acceleration sensor, the components below the cut-off frequency f0 are set to zero to complete high-pass filtering. The formula is shown in (3).

[0076]

[0077] The high-pass filtered acceleration spectrum X filtered [k] is subjected to the inverse Fourier transform to be transformed from the frequency domain to the time-domain signal. The formula is shown in (4)

[0078]

[0079] (3) Use a filter to perform low-pass filtering on the signal of the capacitive acceleration sensor 2. The cut-off frequency of the filtering is f0, and the low-frequency acceleration time history curves such as gravity and buoyancy are extracted, as Figure 6 shown.

[0080] Use a filter to perform low-pass filtering on the measurement data of the capacitive acceleration sensor. The cut-off frequency is f0. The preprocessing steps and logic of the original data are exactly the same as those of the high-pass filtering in step 2. The spectrum signal of the capacitive acceleration sensor is obtained by transforming from the time domain to the frequency domain. The components above the cut-off frequency f0 are set to zero to complete low-pass filtering. The formula is shown in (5).

[0081]

[0082] The low-pass filtered acceleration spectrum X filtered [k] is subjected to the inverse Fourier transform to be transformed from the frequency domain to the time-domain signal. The formula is shown in (6)

[0083]

[0084] The low-frequency acceleration data during the water entry slamming process is obtained through the above operations, and the low-frequency acceleration time history curves including gravity and buoyancy are extracted.

[0085] (4) The high-frequency slam acceleration time history curve in (2) and the low-frequency gravity acceleration time history curve in (3) are added to obtain the synthetic slam acceleration time history curve, as shown in Figure 7 shown.

[0086] The essence of the impact acceleration data processing is to correct the low-frequency signal of the piezoelectric acceleration sensor with reference to the low-frequency signal of the capacitive acceleration sensor. The flow chart is as follows: Figure 8 As shown:

[0087] The corrected impact acceleration curve combines the advantages of piezoelectric and capacitive acceleration sensor signals, takes into account the measurement accuracy of dynamic and static acceleration loads, and has the characteristics of low noise and high precision.

[0088] Compared with the piezoelectric acceleration sensor, the low-frequency acceleration measurement error of the present invention is reduced to below 1%.

[0089] extract Figure 7 The local enlarged diagram of the original signal noise reduction in the figure, the analysis of the current noise amplitude shows that compared with the capacitive acceleration sensor, the signal noise of the present invention is reduced by more than 60%, as shown in the figure. Figure 9 shown.

[0090] In this system, the capacitive accelerometer is used only to measure low-frequency acceleration and does not need to capture the high-frequency acceleration peak of the impact. The maximum measurement frequency within a 2% error range does not exceed 50Hz, which greatly reduces the performance requirements of the capacitive accelerometer. If a capacitive accelerometer were used solely to measure both high and low frequency acceleration, the maximum effective measurement frequency within a 2% error range would need to reach 3000Hz.

[0091] An electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0092] A computer-readable storage medium is used to store computer instructions, which implement the steps of the above method when executed by a processor.

[0093] The memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM). It should be noted that the memory of the method described in the present invention is intended to include but not limited to these and any other suitable types of memories.

[0094] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means such as coaxial cable, optical fiber, digital subscriber line (DSL), or wireless means such as infrared, wireless, microwave, etc. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains one or more integrated available media. The available medium can be a magnetic medium such as a floppy disk, hard disk, magnetic tape, an optical medium such as a high-density digital video disc (DVD), or a semiconductor medium such as a solid-state disc (SSD), etc.

[0095] In the implementation process, the steps of the above method can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as being executed by the hardware processor, or executed by the combination of the hardware and software modules in the processor. The software module can be located in a mature storage medium in the art such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.

[0096] It should be noted that the processor in the embodiments of the present application may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method embodiments can be completed by the integrated logic circuit in the hardware of the processor or instructions in the form of software. The above processor may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0097] The above has introduced in detail a method for accurately measuring the slamming acceleration of a low-speed water entry problem proposed by the present invention, and has elaborated on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A precise measurement system for slamming acceleration of low-speed water entry, characterized by: The slamming acceleration precise measurement system comprises: a piezoelectric acceleration sensor (1), a capacitive acceleration sensor (2), a sliding fixture (3), a slamming model (4), a water pool (5), a slamming test guide rail frame (6) and a data collector (7); The piezoelectric acceleration sensor (1) and the capacitive acceleration sensor (2) are fixed on the upper surface of the slamming model (4), and the fixed position is located directly above the center of gravity of the model; The sliding fixture (3) and the slamming model (4) are rigidly connected. A motion motor and a slider are provided around the sliding fixture (3). The slider is fixed on a guide rail of a slamming test guide rail frame (6) to control the slamming model (4) to move vertically along the guide rail. The slamming test guide rail frame (6) is rigidly fixed to the inside of the water pool (5) by bolts, so as to prevent the test system from vibrating and interfering with acceleration measurement during the slamming process; The piezoelectric acceleration sensor (1) and the capacitive acceleration sensor (2) are synchronously connected to a data collector (7) using a signal transmission line, thereby achieving synchronous signal collection of the two sensors.

2. The measurement system according to claim 1, characterized in that: The distance between the piezoelectric acceleration sensor (1) and the capacitive acceleration sensor (2) is less than 5 cm.

3. A measurement method for the precise measurement system of slamming acceleration for low-speed water entry according to claim 1 or 2, characterized in that: The method specifically comprises the following steps: Step 1: arranging a piezoelectric acceleration sensor (1) and a capacitive acceleration sensor (2) at the center of the model to form a measurement system, and simultaneously performing measurement and data collection of impact acceleration signals; Step 2: collecting high-frequency acceleration data of the piezoelectric acceleration sensor (1); Step 3, collecting low-frequency acceleration data of the capacitive acceleration sensor (2); Step 4: Superimpose and synthesize the high-frequency acceleration data obtained in step 2 and the low-frequency acceleration data obtained in step 3 to obtain a synthetic slamming acceleration signal.

4. The measuring method according to claim 3, wherein: In step one, The sampling frequency of the piezoelectric acceleration sensor (1) and the capacitive acceleration sensor (2) is 10 kHz, and the relative measurement error needs to be less than 2%.

5. The measuring method according to claim 4, characterized in that: In step 2, The measurement data of the piezoelectric acceleration sensor (1) is subjected to high-pass filtering through a filter with a cutoff frequency of f0, thereby obtaining the impact force acceleration data during the water impact process and extracting a high-frequency impact acceleration time history curve.

6. The measuring method according to claim 5, characterized in that: In step three, The measured data of the capacitive acceleration sensor (2) is low-pass filtered by a filter with a cut-off frequency of f0, low-frequency acceleration data during the water impact process is obtained, and a low-frequency acceleration time history curve including gravity and buoyancy is extracted.

7. The measuring method according to claim 6, characterized in that: The filter first pre-processes the signal of the piezoelectric acceleration sensor by framing and windowing, and then converts the pre-processed acceleration signal from the time domain to the frequency domain using discrete Fourier transform to obtain the spectrum of the acceleration signal; For the spectrum signal of the piezoelectric acceleration sensor (1), the components below the cutoff frequency f0 are set to zero to complete high-pass filtering, and the acceleration spectrum after high-pass filtering is subjected to inverse Fourier transform to convert the frequency domain into a time domain signal; For the spectrum signal of the capacitive acceleration sensor (2), the components above the cutoff frequency f0 are set to zero to complete low-pass filtering, and the acceleration spectrum after low-pass filtering is subjected to inverse Fourier transform to convert it from frequency domain to time domain signal.

8. The measuring method according to claim 7, characterized in that: In step four, The low-frequency distortion signal of the piezoelectric acceleration sensor (1) is corrected by utilizing the low-frequency and high-precision characteristics of the capacitive acceleration sensor (2); In the low frequency range f≤f0, the measured value of the capacitive acceleration sensor (2) is directly used to replace the distorted signal of the piezoelectric sensor; In the high frequency range f≥f0, the measured value of the piezoelectric acceleration sensor (1) is used to avoid the high frequency noise of the capacitive acceleration sensor (2).

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 3 to 8 are implemented.

10. A computer-readable storage medium for storing computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the method according to any one of claims 3 to 8 are implemented.

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