Method and apparatus for testing the impact processing speed of acoustic emission detection systems

Abstract

The application discloses a kind of acoustic emission detection system impact processing speed test method and device, belong to acoustic emission detection technical field.The method comprises: control signal generator repeats to acoustic emission detection host computer output analog acoustic emission waveform signal according to preset signal interval;According to the comparison result of the characteristic parameter measurement value of acoustic emission detection host computer and the characteristic parameter measurement value of analog acoustic emission waveform signal, determine the accuracy of characteristic parameter;When the accuracy of characteristic parameter is within the preset tolerance range, the number of impact signals and the corresponding time window are counted, and the impact processing speed is determined according to the ratio of the two;By adjusting the output parameters of signal generator, and determining the accuracy of characteristic parameter and impact processing speed again after each adjustment, the maximum value of the impact processing speed determined multiple times is obtained.The application can objectively evaluate the impact processing performance of acoustic emission detection system, provide reliable basis for equipment selection and practical application, improve the detection efficiency and reliability of acoustic emission detection system.

Description

Technical Field

[0001] This application relates to the field of acoustic emission detection technology, specifically to a method and apparatus for testing the impact processing speed of an acoustic emission detection system. Background Technology

[0002] Acoustic emission testing (AE) is a non-destructive testing method that assesses the internal damage state of a material by detecting the elastic waves generated during stress. This technology is widely used in engineering structural health monitoring, material performance evaluation, and defect detection. An AE system typically consists of sensors, a preamplifier, a signal processing unit, and data analysis software; its core function is to capture, process, and analyze acoustic emission signals.

[0003] During acoustic emission testing, the system needs to process a large number of acoustic emission signals in real time, especially when materials are rapidly damaged or structures suddenly fail, resulting in a large number of acoustic emission events. The impact processing speed of the acoustic emission testing system, that is, the number of acoustic emission events that the system can process per unit time, directly affects the real-time performance and reliability of the detection.

[0004] However, existing technologies suffer from the following problems: First, there is a lack of effective testing methods for the impact processing speed of acoustic emission detection systems. Existing methods mainly focus on signal feature extraction and data processing algorithms, and their evaluation of the system's processing capability is not comprehensive enough. Second, in practical applications, the impact processing speed of acoustic emission detection systems is affected by various factors, such as signal characteristics, sampling frequency, and signal interval, but existing technologies lack systematic research on how these factors affect the system's processing capability. Third, existing performance evaluation methods for acoustic emission detection systems often rely on specific testing environments and materials, making it difficult to provide objective and standardized performance indicators. Finally, in high-speed data acquisition scenarios, ensuring a balance between the accuracy of feature parameter extraction and processing speed in acoustic emission detection systems is a significant challenge facing existing technologies.

[0005] These issues make it difficult to accurately assess the performance limits of acoustic emission detection systems in practical applications, hindering the provision of reliable data for system optimization and application scenario matching. Particularly in applications requiring high-speed processing of large numbers of acoustic emission events, determining the system's maximum impact processing speed while ensuring the accuracy of feature parameter extraction has become a pressing technical challenge. Summary of the Invention

[0006] The purpose of this application is to provide a method and apparatus for testing the impact processing speed of an acoustic emission detection system, thereby solving the technical problem that there is currently a lack of accurate methods for testing impact processing speed in the field of acoustic emission, or that existing testing methods are inaccurate and cannot effectively evaluate the ability of an acoustic emission detection system to receive and process signals.

[0007] To achieve the above objectives, the method for testing the impact processing speed of the acoustic emission detection system provided in this application specifically includes: controlling a signal generator to repeatedly output simulated acoustic emission waveform signals to the acoustic emission detection host at preset signal intervals; determining the accuracy of characteristic parameters based on the comparison between the measured value of characteristic parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signals and the measured value of characteristic parameters of the simulated acoustic emission waveform signals; when the accuracy of the characteristic parameters is within a preset tolerance range, counting the number of impact signals and the corresponding time window, and determining the impact processing speed based on the ratio of the number of impact signals to the time window; adjusting the output parameters of the signal generator, and re-determining the accuracy of characteristic parameters and the impact processing speed after each adjustment, and obtaining the maximum value of the impact processing speed by comparing the impact processing speeds determined multiple times.

[0008] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, adjusting the output parameters of the signal generator includes: reducing the ring count and / or signal interval of the simulated acoustic emission waveform signal, and / or increasing the frequency of the simulated acoustic emission waveform signal.

[0009] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, the simulated acoustic emission waveform signal is a triangular wave gated sine signal or a waveform signal with double exponential envelope characteristics; the characteristic parameters include signal amplitude, rise time, duration, ring count, energy, RMS voltage and average signal level.

[0010] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, determining the accuracy of the characteristic parameter includes: comparing the measured value of the characteristic parameter with the reference value of the characteristic parameter obtained by oscilloscope to obtain the difference, and determining the accuracy of the characteristic parameter based on the difference.

[0011] In the above-mentioned test method for the impact processing speed of the acoustic emission detection system, optionally, the energy is calculated using the following model: ; In the above formula, E is energy; Z is sensor resistance; Ts is start time; Te is end time; and V is signal voltage amplitude.

[0012] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, the effective voltage value is calculated using the following model: ; In the above formula, RMS is the effective voltage; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

[0013] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, the average signal level is calculated by the following formula: ; In the above formula, ASL is the average signal level; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

[0014] In the above-mentioned test method for impact processing speed of acoustic emission detection system, optionally, before counting the number of impact signals, the method further includes: turning off waveform acquisition function and setting impact definition time and impact lockout time.

[0015] In the above-mentioned test method for the impact processing speed of the acoustic emission detection system, optionally, determining the impact processing speed based on the ratio of the number of impact signals to the time window includes: calculating the impact processing speed using the following model: ; In the above formula, PP is the impact processing speed; Y is the number of impact signals; ts is the arrival time of the first impact signal; and te is the arrival time of the last impact signal.

[0016] This application also provides a testing device for the impact processing speed of an acoustic emission detection system, comprising: a signal generation module, used to repeatedly output simulated acoustic emission waveform signals to an acoustic emission detection host at preset signal intervals; an accuracy verification module, used to determine the accuracy of characteristic parameters based on the comparison result between the measured value of characteristic parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signal and the reference value of characteristic parameters of the simulated acoustic emission waveform signal, and to determine whether the accuracy of the characteristic parameters is within a preset tolerance range; a speed calculation module, used to count the number of impact signals and the corresponding time window when the accuracy of the characteristic parameters is within the preset tolerance range, and to determine the impact processing speed based on the ratio of the number of impact signals to the time window; and an extreme value optimization module, used to adjust the output parameters of the signal generation module, and after each adjustment, to re-call the accuracy verification module and the speed calculation module, and to obtain the maximum value of the impact processing speed by comparing the multiple determined impact processing speeds.

[0017] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method.

[0018] This application also provides a computer-readable storage medium storing a computer program that performs the above-described methods.

[0019] This application also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0020] The beneficial technical effects of this application are as follows: It provides a relatively accurate, reliable, and easy-to-understand method for testing impact processing speed. This method can accurately measure the number of acoustic emission impact signals processed per second by the main unit of an acoustic emission detector when operating in single-channel mode, effectively evaluating the signal reception and processing capability of the acoustic emission detection system, and filling a gap in the field of acoustic emission impact processing speed testing methods. By controlling the signal generator to output simulated acoustic emission waveform signals and verifying the accuracy of the test through characteristic parameter precision, and by adjusting the output parameters of the signal generator to find the maximum value of the impact processing speed, a scientific and effective method is provided for the performance evaluation of acoustic emission detection systems. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic flowchart of a method for testing the impact processing speed of an acoustic emission detection system according to an embodiment of this application. Figure 2 This is a schematic diagram of the connection of the acoustic emission detector host provided in an embodiment of this application; Figure 3 A schematic diagram of the structure of a test device for impact processing speed of an acoustic emission detection system provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application; Figure 5A This is a schematic diagram of a sinusoidal signal for triangular wave gating provided in an embodiment of this application; Figure 5B This is a schematic diagram of a double exponential function signal provided in an embodiment of this application. Detailed Implementation

[0022] Various exemplary embodiments, features, and aspects of this application will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0023] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0024] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0025] Furthermore, to better illustrate this application, numerous specific details are provided in the following detailed description. Those skilled in the art should understand that this application can be implemented without certain specific details. In some instances, methods, means, components, and circuits well-known to those skilled in the art have not been described in detail in order to highlight the main points of this application.

[0026] Please refer to Figure 1 As shown, the test method for impact processing speed of the acoustic emission detection system provided in this application specifically includes: The S101 control signal generator repeatedly outputs analog acoustic emission waveform signals to the acoustic emission detection host at preset signal intervals; Specifically, according to a preset signal interval X, the signal generator is controlled to repeatedly and intermittently output analog acoustic emission waveform signals. (See reference...) Figure 5A and Figure 5B As shown, the simulated acoustic emission waveform signal can be a sinusoidal signal gated by a triangular wave or a waveform signal with a double exponential envelope characteristic. Typical characteristic parameters can be set as follows: frequency F = 150 kHz, amplitude A = 80 dBAE, rise time R = 100 μs, duration D = 200 μs, and ring count N = 30.

[0027] S102 determines the accuracy of the characteristic parameters based on the comparison result between the measured value of the characteristic parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signal and the measured value of the characteristic parameters of the simulated acoustic emission waveform signal; For specific details, please refer to [the relevant documentation / reference]. Figure 2As shown, connect the acoustic emission detection host, signal generator, and oscilloscope. First, configure the host computer software to record and display characteristic parameters such as signal amplitude A, rise time R, duration D, ring count N, energy E, RMS voltage, and average signal level ASL for the corresponding channel. A recommended threshold value can be set to 60 dBAE. Then, obtain the reference value L0 of the characteristic parameters through the oscilloscope, and simultaneously record the measured value L1 of the characteristic parameters displayed by the host computer software. The accuracy of the characteristic parameters is determined by calculating the difference Δ = L1 - L0, where the unit of amplitude accuracy is decibel (dB), rise time accuracy is microsecond (μs), duration accuracy is microsecond (μs), ring count accuracy is in units (number of rings), energy accuracy is in nanojoules (nJ), RMS voltage accuracy is in volts (V), and average signal level accuracy is in decibels (dB).

[0028] In the above embodiments, the energy is calculated using the following model: ; In the above formula, E is energy; Z is sensor resistance; Ts is start time; Te is end time; and V is signal voltage amplitude.

[0029] The effective voltage value is calculated using the following model: ; In the above formula, RMS is the effective voltage; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

[0030] The average signal level is calculated using the following formula: ; In the above formula, ASL is the average signal level; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

[0031] S103 When the accuracy of the feature parameter is within the preset tolerance range, count the number of impact signals and the corresponding time window, and determine the impact processing speed according to the ratio of the number of impact signals to the time window. Specifically, first, the waveform acquisition function is turned off, and parameters such as the impact definition time (HDT) and impact latch-up time (HLT) are set. The accuracy of the characteristic parameters of the impact signal is observed to be within the instrument's tolerance range. Then, the number of impact signals within the tolerance range is counted, denoted as Y, and the arrival times of the first and last impact signals are read, denoted as ts and te, respectively. The impact processing speed is calculated using the following model: ; Among them, P Pts represents the impact processing speed, in units of impacts per second (impacts / s); Y represents the number of impact signals, in units of impacts; ts represents the arrival time of the first impact signal, in units of seconds (s); te represents the arrival time of the last impact signal, in units of seconds (s).

[0032] S104 adjusts the output parameters of the signal generator and re-determines the characteristic parameter accuracy and impact processing speed after each adjustment. The maximum value of the impact processing speed is obtained by comparing the multiple determined impact processing speeds.

[0033] Furthermore, adjusting the output parameters of the signal generator includes: decreasing the ring count and / or signal interval of the simulated acoustic emission waveform signal, and / or increasing the frequency of the simulated acoustic emission waveform signal. Specifically, the signal generator is adjusted to gradually decrease the ring count N and signal interval X of the simulated acoustic emission waveform, or to increase the signal frequency F, and the maximum value of the impact processing speed PP is calculated and obtained according to the above method. This adjustment method can effectively test the processing capability of the acoustic emission detection system under different signal parameter conditions, thereby determining the maximum impact processing speed of the system.

[0034] The above testing method can accurately evaluate the ability of an acoustic emission system to receive and process signals, providing a reliable basis for the performance evaluation of acoustic emission testing systems. This method is simple to operate, and the test results are accurate and reliable, which helps to improve the quality control level of acoustic emission testing systems.

[0035] In one embodiment of this application, before counting the number of impact signals, the method further includes: disabling the waveform acquisition function and setting the impact definition time and impact lockout time.

[0036] Specifically, after verifying the accuracy of the characteristic parameters and determining their qualification, the impact processing speed test phase begins. First, the waveform acquisition function is disabled in the host computer software to avoid waveform data storage consuming system resources and affecting the accurate measurement of the impact processing speed. Second, the Hit Definition Time (HDT) and Hit Lockout Time (HLT) are set appropriately. The Hit Definition Time defines the start and end conditions of the impact signal, typically including the Peak Definition Time (PDT) and the Hit Definition Time (HDT). The Hit Lockout Time blocks subsequent impact signals for a period after a hit signal is detected to prevent the same physical event from being counted repeatedly. For example, the PDT can be set to 100 μs, the Hit Definition Time to 200 μs, and the Hit Lockout Time to 500 μs. These parameter settings should ensure that the acoustic emission detection host can accurately identify each independent impact signal, while avoiding missed or duplicate counts due to improper parameter settings. After setting, the signal generator is started to output simulated acoustic emission waveform signals, and the host computer software begins recording the number of impact signals and their corresponding time windows for subsequent impact processing speed calculations.

[0037] Please refer to Figure 3 As shown, this application also provides a testing device for the impact processing speed of an acoustic emission detection system, comprising: The signal generation module is used to repeatedly output analog acoustic emission waveform signals to the acoustic emission detection host at preset signal intervals; This module can generate a sinusoidal signal gated by a triangular wave or a signal with a double-exponential envelope characteristic. Typical characteristic parameters for the analog acoustic emission waveform signal can be set to a frequency of 150kHz, amplitude of 80dBAE, rise time of 100μs, duration of 200μs, and a ring count of 30. The signal generation module is connected to the input of the acoustic emission detection host via a cable to ensure that the analog signal can be correctly received by the host.

[0038] The accuracy verification module is used to determine the accuracy of the feature parameters based on the comparison result between the measured value of the feature parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signal and the reference value of the feature parameters of the simulated acoustic emission waveform signal, and to determine whether the accuracy of the feature parameters is within the preset tolerance range. This module first acquires reference values ​​for characteristic parameters such as signal amplitude, rise time, duration, ring count, energy, RMS voltage, and average signal level, and then obtains the corresponding measured values ​​from the acoustic emission detection host. The accuracy verification module calculates the difference between the measured value and the reference value, i.e., the accuracy of the characteristic parameter, and compares it with a preset tolerance range. The accuracy verification module also includes an oscilloscope interface for observing and recording the original signal waveform.

[0039] The velocity calculation module is used to count the number of impact signals and their corresponding time windows when the accuracy of the characteristic parameters is within a preset tolerance range, and to determine the impact processing velocity based on the ratio of the number of impact signals to the time window. This module first disables waveform acquisition, sets reasonable parameters such as HDT (Hit Definition Time) and HLT (Hit Lock Time), and confirms that the accuracy of the impact signal's characteristic parameters is within the instrument's tolerance range. Then, it counts the number of impact signals within the tolerance range, records the arrival times of the first and last impact signals, and calculates the impact processing velocity.

[0040] The extreme value optimization module is used to adjust the output parameters of the signal generation module and, after each adjustment, re-invokes the accuracy verification module and the speed calculation module to obtain the maximum impact processing speed by comparing multiple determined impact processing speeds. This module repeatedly performs the accuracy verification and speed calculation process by gradually decreasing the ring count and signal interval of the simulated acoustic emission waveform, or increasing the signal frequency, recording the impact processing speed obtained each time, and finally determining the maximum value. The extreme value optimization module includes a parameter adjustment interface, which can automatically or manually adjust the output parameters of the signal generation module, such as the ring count, signal interval, and signal frequency.

[0041] This testing device provides a scientific and accurate method for testing the impact processing speed of acoustic emission detection systems by simulating the generation of acoustic emission signals, verifying the accuracy of characteristic parameters, calculating the impact processing speed, and optimizing parameters to find the maximum impact processing speed. It effectively evaluates the ability of acoustic emission systems to receive and process signals.

[0042] The beneficial technical effects of this application are as follows: It provides a relatively accurate, reliable, and easy-to-understand method for testing impact processing speed. This method can accurately measure the number of acoustic emission impact signals processed per second by the main unit of an acoustic emission detector when operating in single-channel mode, effectively evaluating the signal reception and processing capability of the acoustic emission detection system, and filling a gap in the field of acoustic emission impact processing speed testing methods. By controlling the signal generator to output simulated acoustic emission waveform signals and verifying the accuracy of the test through characteristic parameter precision, and by adjusting the output parameters of the signal generator to find the maximum value of the impact processing speed, a scientific and effective method is provided for the performance evaluation of acoustic emission detection systems.

[0043] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method.

[0044] This application also provides a computer-readable storage medium storing a computer program that performs the above-described methods.

[0045] This application also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0046] like Figure 4 As shown, the electronic device 600 may also include: a communication module 110, an input unit 120, an audio processor 130, a display 160, and a power supply 170. It is worth noting that the electronic device 600 does not necessarily need to include these components. Figure 4 All components shown; in addition, the electronic device 600 may also include Figure 4 For components not shown, please refer to existing technologies.

[0047] like Figure 4 As shown, the central processing unit 100, sometimes also referred to as a controller or operating control, may include a microprocessor or other processor device and / or logic device. The central processing unit 100 receives inputs and controls the operation of various components of the electronic device 600.

[0048] The memory 140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store the aforementioned failure-related information, and also store a program for executing that information. The central processing unit 100 may execute the program stored in the memory 140 to perform information storage or processing, etc.

[0049] Input unit 120 provides input to central processing unit 100. Input unit 120 may be, for example, a keypad or touch input device. Power supply 170 provides power to electronic device 600. Display 160 displays images and text. Display may be, for example, an LCD display, but is not limited thereto.

[0050] The memory 140 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), a SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and contains more data; examples of this type of memory are sometimes referred to as EPROMs. The memory 140 can also be some other type of device. The memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application / function storage unit 142 for storing application programs and function programs or processes for executing the operation of the electronic device 600 via the central processing unit 100.

[0051] The memory 140 may also include a data storage unit (data 143) for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit (driver 144) of the memory 140 may include various drivers for the electronic device's communication functions and / or for performing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0052] The communication module 110 is a transmitter / receiver 110 that transmits and receives signals via antenna 111. The communication module (transmitter / receiver) 110 is coupled to the central processing unit 100 to provide input signals and receive output signals, which can be the same as in a conventional mobile communication terminal.

[0053] Based on different communication technologies, multiple communication modules 110 can be configured in the same electronic device, such as cellular network modules, Bluetooth modules, and / or wireless LAN modules. The communication module (transmitter / receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132, thereby enabling typical telecommunications functions. The audio processor 130 may include any suitable buffer, decoder, amplifier, etc. Additionally, the audio processor 130 is coupled to a central processing unit 100, enabling on-device recording via the microphone 132 and on-device playback of stored audio via the speaker 131.

[0054] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0055] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0056] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0057] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0058] The description of the various embodiments above tends to emphasize the differences between the various embodiments. The similarities or similarities between them can be referred to, and for the sake of brevity, they will not be repeated here.

[0059] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0060] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, and are not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for testing the impact processing speed of an acoustic emission detection system, characterized in that, The method includes: The control signal generator repeatedly outputs analog acoustic emission waveform signals to the acoustic emission detection host at preset signal intervals; The accuracy of the characteristic parameters is determined based on the comparison between the measured value of the characteristic parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signal and the measured value of the characteristic parameters of the simulated acoustic emission waveform signal. When the accuracy of the feature parameters is within the preset tolerance range, the number of impact signals and the corresponding time window are counted, and the impact processing speed is determined according to the ratio of the number of impact signals to the time window. The output parameters of the signal generator are adjusted, and the accuracy of the characteristic parameters and the impact processing speed are redefined after each adjustment. The maximum value of the impact processing speed is obtained by comparing the multiple determined impact processing speeds.

2. The method for testing the impact processing speed of the acoustic emission detection system according to claim 1, characterized in that, Adjusting the output parameters of the signal generator includes: Decrease the ring count and / or signal interval of the analog acoustic emission waveform signal, and / or increase the frequency of the analog acoustic emission waveform signal.

3. The method for testing the impact processing speed of the acoustic emission detection system according to claim 1, characterized in that, The simulated acoustic emission waveform signal is a sinusoidal signal selected by a triangular wave or a waveform signal with a double exponential envelope characteristic; the characteristic parameters include signal amplitude, rise time, duration, ring count, energy, RMS voltage and average signal level.

4. The method for testing the impact processing speed of the acoustic emission detection system according to claim 3, characterized in that, Determining the accuracy of the feature parameters includes: The measured value of the characteristic parameter is compared with the reference value of the characteristic parameter obtained by an oscilloscope to obtain the difference, and the accuracy of the characteristic parameter is determined based on the difference.

5. The method for testing the impact processing speed of the acoustic emission detection system according to claim 3, characterized in that, The energy is calculated using the following model: ； In the above formula, E is energy; Z is sensor resistance; Ts is start time; Te is end time; and V is signal voltage amplitude.

6. The method for testing the impact processing speed of the acoustic emission detection system according to claim 3, characterized in that, The effective voltage value is calculated using the following model: ； In the above formula, RMS is the effective voltage; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

7. The method for testing the impact processing speed of the acoustic emission detection system according to claim 3, characterized in that, The average signal level is calculated using the following formula: ； In the above formula, ASL is the average signal level; Ts is the start time; Te is the end time; and V is the signal voltage amplitude.

8. The method for testing the impact processing speed of the acoustic emission detection system according to claim 1, characterized in that, Before counting the number of impact signals, the following steps are also included: Turn off the waveform acquisition function and set the impact definition time and impact lock-in time.

9. The method for testing the impact processing speed of the acoustic emission detection system according to claim 1, characterized in that, Determining the impact processing speed based on the ratio of the number of impact signals to the time window includes: The impact processing velocity is calculated using the following model: ； In the above formula, PP is the impact processing speed; Y is the number of impact signals; ts is the arrival time of the first impact signal; and te is the arrival time of the last impact signal.

10. A testing device for the impact processing speed of an acoustic emission detection system, characterized in that, include: The signal generation module is used to repeatedly output analog acoustic emission waveform signals to the acoustic emission detection host at preset signal intervals; The accuracy verification module is used to determine the accuracy of the feature parameters based on the comparison result between the measured value of the feature parameters detected by the acoustic emission detection host based on the simulated acoustic emission waveform signal and the reference value of the feature parameters of the simulated acoustic emission waveform signal, and to determine whether the accuracy of the feature parameters is within the preset tolerance range. The speed calculation module is used to count the number of impact signals and the corresponding time window when the accuracy of the feature parameters is within a preset tolerance range, and to determine the impact processing speed based on the ratio of the number of impact signals to the time window. The extreme value optimization module is used to adjust the output parameters of the signal generation module, and after each adjustment, it calls the accuracy verification module and the speed calculation module again to obtain the maximum value of the impact processing speed by comparing multiple determined impact processing speeds.

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