An array-integrated optical fiber ultrasonic imaging positioning detection method

Abstract

The present invention relates to the technical field of using ultrasound to analyze materials, and specifically to an array-integrated optical fiber ultrasonic imaging positioning detection method, the method comprising: obtaining multiple sets of current data generated by an optical fiber ultrasonic array sensor receiving ultrasonic waves reflected by multiple target areas on the surface of an object to be detected, wherein each target area corresponds to a set of current data; for each target area, calculating the clutter signal intensity factor of the target area according to the current data corresponding to the target area; for each target area, correcting the arrival time difference of the target area according to its corresponding clutter signal intensity factor; and reconstructing the ultrasonic image of the object to be detected using the corrected arrival time difference of each target area. In this way, a more accurate arrival time difference can be obtained, thereby improving the imaging quality of the overall ultrasonic image and improving the accuracy of ultrasonic positioning detection.

Description

Technical Field

[0001] The invention relates to the technical field of analyzing materials using ultrasound, and in particular to an array-integrated optical fiber ultrasonic imaging positioning detection method. Background Art

[0002] Ultrasonic imaging technology is widely used due to its non-invasiveness and cost-effectiveness, especially in the fields of engineering inspection and medical imaging. However, ultrasonic imaging technology is often limited by penetration depth and image quality. Array integrated fiber optic ultrasonic imaging positioning detection technology combines fiber optic sensing technology with ultrasonic imaging technology. By using optical fiber for ultrasonic imaging, it can not only overcome the limitations of traditional ultrasonic imaging technology, but also open up new directions for future research and clinical applications.

[0003] At present, array-integrated fiber-optic ultrasonic positioning detection technology usually performs positioning based on the arrival time difference of ultrasonic signals, and achieves precise positioning by calculating the time difference between the ultrasonic signal emitted by the ultrasonic excitation source and reaching the sensor. However, there are usually multiple ultrasonic excitation sources in the system, which easily leads to mutual interference between signals, thereby reducing the signal-to-noise ratio and affecting the imaging quality. It can be seen that the signals of the array-integrated fiber-optic ultrasonic positioning detection system with multiple ultrasonic excitation sources are prone to mutual interference, which in turn affects the imaging quality. Summary of the invention

[0004] In order to solve the above technical problems, the object of the present invention is to provide an array-integrated optical fiber ultrasonic imaging positioning detection method, comprising:

[0005] Acquire multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected by multiple target areas on the surface of the object to be measured, wherein each target area corresponds to a set of current data;

[0006] For each target area, a clutter signal intensity factor of the target area is calculated according to the current data corresponding to the target area;

[0007] For each target area, the arrival time difference of the target area is corrected according to its corresponding clutter signal strength factor;

[0008] The ultrasonic image of the object to be detected is reconstructed using the corrected arrival time difference of each target area.

[0009] Optionally, the step of acquiring multiple sets of current data generated by the optical fiber ultrasonic array sensor receiving ultrasonic waves reflected from multiple target areas on the surface of the object to be measured includes:

[0010] Acquire multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple regions on the surface of the object to be measured, wherein each region corresponds to a set of current data;

[0011] For each region, the ultrasonic disturbance factor of the region is calculated according to the current data corresponding to the region;

[0012] The area where the ultrasonic disturbance factor is greater than a preset threshold is determined as the target area.

[0013] Optionally, a set of current data corresponding to each region includes a current signal generated by the optical fiber ultrasonic array sensor receiving ultrasonic waves reflected from the region for multiple consecutive times;

[0014] For each target area, calculating the clutter signal intensity factor of the target area according to the current data corresponding to the target area includes:

[0015] For each target area, the clutter signal intensity factor of the target area is calculated according to the amplitude and slope of the current data corresponding to the target area.

[0016] Optionally, for each target area, calculating the clutter signal intensity factor of the target area according to the amplitude and slope of the current data corresponding to the target area includes:

[0017] For each target area, calculating the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area;

[0018] Calculating the acoustic wave degradation factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient, wherein the first area set includes at least one area adjacent to the target area;

[0019] The clutter signal intensity factor of the target area is calculated according to the ultrasonic turbulence factor, structural defect coefficient and acoustic wave degradation effect factor of the target area.

[0020] Optionally, for each region, calculating the ultrasonic disturbance factor of the region according to the current data corresponding to the region includes:

[0021] For each region, the ultrasonic disturbance factor of the region is calculated according to the amplitude and variance of the current data corresponding to the region and the amplitudes of all other regions on the surface of the object to be measured except the region.

[0022] Optionally, calculating the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area includes:

[0023] The structural defect coefficient of the target area is calculated according to the slope average, the maximum amplitude, the minimum amplitude, and the time distance between the maximum amplitude and the minimum amplitude of the current data corresponding to the target area.

[0024] Optionally, the calculating the acoustic wave degradation factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient includes:

[0025] The acoustic wave degradation factor of the target area is calculated based on the amplitude mean difference between the current data corresponding to the target area and the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient of the current data corresponding to each area in the first area set.

[0026] Optionally, the calculating the clutter signal intensity factor of the target area according to the ultrasonic turbulence factor, the structural defect coefficient and the acoustic wave degradation effect factor of the target area includes:

[0027] Obtaining the centroid position of each area on the surface of the object to be measured;

[0028] Calculating the Euclidean distance between the centroid position of the target area and the centroid position of each area on the surface of the object to be measured;

[0029] Determine a preset number of regions having the smallest Euclidean distances from the target region as a second region set of the target region;

[0030] The clutter signal intensity factor of the target area is calculated according to the ultrasonic turbulence factor, structural defect coefficient, acoustic degradation effect factor of the current data corresponding to the target area, and the Euclidean distance between the target area and each area in the second area set.

[0031] Optionally, each area on the surface of the object to be detected is a detection area on the surface of the object to be detected when a single sensor in the optical fiber ultrasonic array sensor detects the object to be detected.

[0032] Optionally, for each target area, correcting the arrival time difference of the target area according to its corresponding clutter signal strength factor includes:

[0033] For each target area, a corrected arrival time difference of the target area is calculated according to the initial arrival time difference of the target area and the clutter signal strength factor of the current data corresponding to the target area.

[0034] The present invention has the following beneficial effects: the method analyzes the current data generated by the ultrasonic wave reflected from the local area of ​​the surface of the object to be measured, analyzes the clutter signal intensity factor of each area according to the current data of the ultrasonic wave reflected from different areas, then corrects the arrival time difference of the local area according to the corresponding clutter signal intensity factor, and reconstructs the ultrasonic image of the object to be measured according to the corrected arrival time difference. In this way, by identifying errors in the local areas respectively, a more accurate arrival time difference can be obtained, thereby improving the imaging quality of the overall ultrasonic image and improving the accuracy of ultrasonic positioning detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A first schematic diagram of an array-integrated optical fiber ultrasonic imaging positioning detection method provided by an embodiment of the present invention;

[0037] Figure 2 A schematic diagram of a light ultrasonic array sensor provided by an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of a set of current data waveforms provided by an embodiment of the present invention;

[0039] Figure 4 This is a second schematic diagram of the array-integrated optical fiber ultrasonic imaging positioning detection method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of an array integrated fiber optic ultrasonic imaging positioning detection method proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0041] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0042] The present invention provides an array-integrated optical fiber ultrasonic imaging positioning detection method, and the scheme of the present invention is described in detail below in conjunction with the accompanying drawings.

[0043] See also Figure 1 , which shows a first schematic diagram of an array-integrated optical fiber ultrasonic imaging positioning detection method provided by an embodiment of the present invention, the array-integrated optical fiber ultrasonic imaging positioning detection method (hereinafter referred to as "the method") comprises the following steps:

[0044] Step 101 : obtaining multiple sets of current data generated by receiving ultrasonic waves reflected by multiple target areas on the surface of the object to be measured by the optical fiber ultrasonic array sensor, wherein each target area corresponds to a set of current data.

[0045] In this step, the method obtains multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple target areas on the surface of the object to be measured, wherein each target area corresponds to a set of current data. The method can receive multiple sets of current data sent by other devices, or it can directly obtain multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple target areas on the surface of the object to be measured by controlling the fiber optic ultrasonic array sensor to perform detection. In some embodiments, the method also pre-processes the acquired current data, including but not limited to denoising, filtering, gain adjustment, etc., to improve the accuracy of subsequent analysis.

[0046] In the array integrated fiber optic ultrasonic positioning detection technology, an ultrasonic signal is emitted by an ultrasonic excitation source, and the emitted ultrasonic signal is received by a fiber optic ultrasonic array sensor after being reflected by the object to be detected. The fiber optic ultrasonic array sensor uses an optical fiber as a sensor. Under the pressure of the ultrasonic wave, the optical fiber will produce a slight deformation, which will cause a significant change in the optical signal in the optical fiber. The photoelectric detector of the sensor converts the optical signal in the optical fiber into an electrical signal. The fiber optic ultrasonic array sensor described in the embodiment of the present invention converts the optical signal into a current signal.

[0047] During detection, the ultrasonic excitation source can emit an ultrasonic signal to the object to be detected once at a preset time interval. The optical fiber ultrasonic array sensor includes a plurality of optical fiber ultrasonic sensors arranged in an array and at appropriate intervals, such as Figure 2As shown, during detection, it is necessary to ensure that the fiber optic ultrasonic array sensor can receive all ultrasonic signals reflected by the surface of the object to be tested and the sensor, that is, the fiber optic ultrasonic array sensor needs to be able to cover the projection of the object to be tested on the plane where the ultrasonic array sensor is located. The interval duration of the ultrasonic excitation source emitting the ultrasonic signal and the spacing between each sensor in the fiber optic ultrasonic array sensor can be set according to actual detection needs. For example, in an industrial non-destructive testing scenario, that is, when the object to be tested is an industrial material, the ultrasonic excitation source (ultrasonic generator, such as a piezoelectric transducer) can transmit an ultrasonic signal with an output voltage of 10V and a frequency of 40KHZ to the object to be tested once every 10 milliseconds, and the spacing between each sensor in the fiber optic ultrasonic array sensor can be selected to be 0.5 meters.

[0048] In an embodiment of the present invention, the surface of the object to be tested can be divided into multiple areas, and then the current data of each area can be analyzed. For example, the surface of the object to be tested can be divided into multiple areas according to the detection range of a single sensor, that is, the detection area of ​​the surface of the object to be tested by a single sensor when detecting the object to be tested can be divided into one area. In order to better analyze, the method can use the current signal generated by the ultrasonic reflection signal received by the optical ultrasonic array sensor multiple times in succession as a set of current data, that is, for each area, the current signal generated by the ultrasonic wave reflected by the area received by the optical fiber ultrasonic array sensor multiple times in succession can be used as a set of current data corresponding to the area. The waveform diagram of the current data can be as follows: Figure 3 The waveform shown in the figure, Figure 3 The horizontal axis represents the detection time, and the vertical axis represents the detected current amplitude. For example, the multiple times may be 50 times, or more or less times, which is not specifically limited in the embodiment of the present invention.

[0049] The multiple target areas may include all areas on the surface of the object to be tested, or may include only some areas. For example, abnormal areas may be screened out as target areas according to the disorder degree of the current data of each area.

[0050] The array-integrated fiber optic ultrasonic imaging positioning detection method provided by the present invention is applicable to scenarios where there are multiple ultrasonic excitation sources, but is not limited to this. For scenarios where there is only one ultrasonic excitation source, the array-integrated fiber optic ultrasonic imaging positioning detection method provided by the present invention can also be used to reconstruct ultrasonic images.

[0051] Step 102: For each target area, calculate the clutter signal strength factor of the target area according to the current data corresponding to the target area.

[0052] Ultrasonic imaging technology is based on the arrival time difference for ultrasonic imaging. The arrival time difference refers to the time difference between the time when the ultrasonic signal is emitted from the ultrasonic excitation source and the time when it reaches the receiver (i.e., the optical fiber ultrasonic array sensor). This arrival time difference can be used to analyze and locate the internal features of the object to be measured. During the ultrasonic propagation process, when the ultrasonic signal encounters the interface of different materials, due to the internal inhomogeneity and / or defects (such as cracks or corrosion) of the object to be measured, a single ultrasonic signal will be reflected and refracted, which will affect the propagation of other ultrasonic signals, thereby causing a deviation in the arrival time difference. This deviation will make the ultrasonic imaging based on this arrival time difference inaccurate. Therefore, the current data corresponding to the target area can be analyzed to calculate the clutter signal intensity factor of the target area to understand the composition of the clutter signal in the current data corresponding to the target area. In this step 102, for each target area, the method calculates the clutter signal intensity factor of the target area based on the current data corresponding to the target area.

[0053] In some embodiments, a set of current data corresponding to each region includes a current signal generated by the fiber optic ultrasonic array sensor receiving the ultrasonic wave reflected by the region for multiple consecutive times. Accordingly, the method can calculate the clutter signal intensity factor of the target region according to the amplitude and slope of the current data corresponding to the target region. Specifically, for each target region, the method can first calculate the structural defect coefficient of the target region according to the slope and extreme value of the current data corresponding to the target region; then calculate the acoustic wave degradation effect factor of the target region according to the amplitude of the current data corresponding to each region in the first region set, the ultrasonic turbulence factor and the structural defect coefficient, wherein the first region set includes at least one region adjacent to the target region; finally, calculate the clutter signal intensity factor of the target region according to the ultrasonic turbulence factor, the structural defect coefficient and the acoustic wave degradation effect factor of the target region.

[0054] Step 103: For each target area, the arrival time difference of the target area is corrected according to its corresponding clutter signal strength factor.

[0055] After calculating the clutter signal strength factor corresponding to each target area, in this step, for each target area, the method corrects the arrival time difference of the target area according to the clutter signal strength factor corresponding to the target area. For example, the method can use the negative number of the clutter signal strength factor of the target area as a weight to correct the initial arrival time difference of the target area to obtain a corrected arrival time difference, that is, the corrected arrival time difference of the target area is negatively correlated with the clutter signal strength factor of the target area. The larger the clutter signal strength factor, the smaller the corrected arrival time difference, and the smaller the clutter signal strength factor, the larger the corrected arrival time difference.

[0056] Step 104: Reconstruct the ultrasonic image of the object to be detected using the corrected arrival time difference of each target area.

[0057] In this step, the method reconstructs the ultrasonic image of the object to be detected using the corrected arrival time difference of each target area. In some embodiments, the method can process the received signal using a back-projection method based on the ultrasonic arrival time difference to generate a depth imaging map of the object to be detected to display the internal structure of the object to be detected. Ultrasonic imaging based on arrival time difference belongs to the scope of the prior art and will not be described in detail here.

[0058] In the embodiment of the present invention, the method analyzes the current data generated by the ultrasonic wave reflected from the local area of ​​the surface of the object to be measured, analyzes the clutter signal intensity factor of each area according to the current data of the ultrasonic wave reflected from different areas, then corrects the arrival time difference of the local area according to the corresponding clutter signal intensity factor, and reconstructs the ultrasonic image of the object to be measured according to the corrected arrival time difference. In this way, by identifying the errors of the local areas respectively, a more accurate arrival time difference can be obtained, thereby improving the imaging quality of the overall ultrasonic image and improving the accuracy of ultrasonic positioning detection.

[0059] Optionally, the method of acquiring multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple target areas on the surface of the object to be measured comprises: acquiring multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple areas on the surface of the object to be measured, wherein each area corresponds to a set of current data; for each area, calculating the ultrasonic disorder factor of the area based on the current data corresponding to the area; and determining the area where the ultrasonic disorder factor is greater than a preset threshold as the target area.

[0060] For industrial materials, their internal structure is usually consistent and evenly distributed, so the reflected pressure of the ultrasonic wave passing through the surface of the industrial material when propagating inside it should be relatively stable, and the consistency of the impact on the optical fiber sensor will be relatively high. However, when there are defective areas or uneven internal distribution of industrial materials, the reflected pressure of the ultrasonic wave passing through the surface of the industrial material when propagating inside the industrial material will be abnormal, and the impact on the optical fiber sensor will also be abnormal, which will cause the current signal to be disordered.

[0061] In this embodiment, the method obtains multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple regions on the surface of the object to be tested, wherein each region corresponds to a set of current data; for each region, the ultrasonic turbulence factor of the region is calculated based on the current data corresponding to the region; and the region whose ultrasonic turbulence factor is greater than a preset threshold is determined as the target region. The preset threshold can be set according to the accuracy required in actual detection, for example, the preset threshold can be set to 0.2.

[0062] Optionally, each area on the surface of the object to be detected is a detection area on the surface of the object to be detected when a single sensor in the optical fiber ultrasonic array sensor detects the object to be detected.

[0063] In this embodiment, the method divides the surface of the object to be measured into multiple areas according to the detection range of a single sensor. Specifically, the method divides the detection area of ​​a single sensor on the surface of the object to be measured when detecting the object to be measured into one area, that is, each area on the surface of the object to be measured is the detection area on the surface of the object to be measured when a single sensor in the optical fiber ultrasonic array sensor detects the object to be measured.

[0064] Optionally, for each target area, the arrival time difference of the target area is corrected according to its corresponding clutter signal strength factor, including: for each target area, according to the initial arrival time difference of the target area and the clutter signal strength factor of the current data corresponding to the target area, calculating the corrected arrival time difference of the target area.

[0065] In this embodiment, for each target area, the method calculates the corrected arrival time difference of the target area based on the initial arrival time difference of the target area and the clutter signal strength factor of the current data corresponding to the target area. The target area can be calculated according to the following formula Corrected arrival time difference of target areas : in, Indicates The corrected arrival time difference of the target area is Indicates The initial arrival time difference of the target area is Indicates The clutter signal intensity factor of the current data corresponding to the target area, represents the natural exponential function.

[0066] In the above formula, With The clutter signal intensity factor of the current data corresponding to the target area Negative correlation, this value is used as the correction coefficient of the arrival time difference, so that the corrected arrival time difference Clutter signal strength factor There is a negative correlation.

[0067] Please read further Figure 4 , Figure 4 is a second schematic diagram of the array integrated optical fiber ultrasonic imaging positioning detection method provided by an embodiment of the present invention, such as Figure 4 As shown, the method comprises the following steps:

[0068] Step 401, obtaining multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple areas on the surface of the object to be measured, wherein each area corresponds to a set of current data, and each set of current data corresponding to the area includes a current signal generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from the area for multiple consecutive times.

[0069] In this step, the method obtains multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple areas on the surface of the object to be measured, wherein each area corresponds to a set of current data, and each set of current data corresponding to each area includes the current signal generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from the area for multiple consecutive times. The method of obtaining multiple sets of current data in this step is similar to Figure 1 Step 101 in the illustrated embodiment is the same and will not be described again here.

[0070] Step 402: For each region, calculate the ultrasonic disturbance factor of the region according to the current data corresponding to the region.

[0071] In this step, for each region, the method calculates the ultrasonic disturbance factor of the region based on the current data corresponding to the region. Specifically, for each region, the method can calculate the ultrasonic disturbance factor of the region based on the amplitude and variance of the current data corresponding to the region and the amplitudes of all other regions on the surface of the object to be measured except the region.

[0072] Step 403: Determine the area where the ultrasonic turbulence factor is greater than a preset threshold as the target area.

[0073] In this step, the method determines that the area where the ultrasonic disturbance factor is greater than a preset threshold is the target area. The preset threshold can be set according to the accuracy required in actual detection. For example, the preset threshold can be set to 0.2.

[0074] Step 404: For each target area, calculate the clutter signal strength factor of the target area according to the amplitude and slope of the current data corresponding to the target area.

[0075] In this step, for each target area, the method calculates the clutter signal intensity factor of the target area according to the amplitude and slope of the current data corresponding to the target area. Specifically, for each target area, the method may first calculate the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area; then calculate the acoustic wave degradation effect factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient, wherein the first area set includes at least one area adjacent to the target area; finally, calculate the clutter signal intensity factor of the target area according to the ultrasonic turbulence factor, the structural defect coefficient and the acoustic wave degradation effect factor of the target area.

[0076] Step 405: For each target area, the arrival time difference of the target area is corrected according to its corresponding clutter signal strength factor.

[0077] Step 406: Reconstruct the ultrasonic image of the object to be detected using the corrected arrival time difference of each target area.

[0078] Steps 405 and 406 are Figure 1 Steps 103 and 104 in the illustrated embodiment are the same and will not be described in detail here.

[0079] In this embodiment, the method analyzes the current data generated by the ultrasonic wave reflected from the local area of ​​the surface of the object to be measured, selects the abnormal area according to the disorder degree of the current data of the ultrasonic wave reflected from different areas, and analyzes the clutter signal intensity factor of each abnormal area according to the current data of each abnormal area, and then corrects the arrival time difference of the local area according to the corresponding clutter signal intensity factor, and reconstructs the ultrasonic image of the object to be measured according to the corrected arrival time difference. In this way, by identifying the errors of the local areas respectively, a more accurate arrival time difference can be obtained, thereby improving the imaging quality of the overall ultrasonic image and improving the accuracy of ultrasonic positioning detection.

[0080] Optionally, for each target area, the clutter signal strength factor of the target area is calculated according to the amplitude and slope of the current data corresponding to the target area, including: for each target area, the structural defect coefficient of the target area is calculated according to the slope and extreme value of the current data corresponding to the target area; the acoustic wave degradation effect factor of the target area is calculated according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic disorder factor and the structural defect coefficient, wherein the first area set includes at least one area adjacent to the target area; the clutter signal strength factor of the target area is calculated according to the ultrasonic disorder factor, the structural defect coefficient and the acoustic wave degradation effect factor of the target area.

[0081] Optionally, for each area, the ultrasonic disorder factor of the area is calculated based on the current data corresponding to the area, including: for each area, the ultrasonic disorder factor of the area is calculated based on the amplitude and variance of the current data corresponding to the area, and the amplitudes of all other areas on the surface of the object to be measured except the area.

[0082] The inhomogeneity or structural defects of the material of the object to be tested will cause abnormal propagation of ultrasonic waves inside it, thereby causing abnormal strength of ultrasonic signals received by the optical fiber sensor. Therefore, it is possible to judge whether abnormal propagation of ultrasonic signals has occurred inside the area based on the difference between the amplitude of the current data corresponding to the area and the amplitude of the current data corresponding to other areas. Specifically, for each area, the method can calculate the ultrasonic disorder factor of the area based on the amplitude and variance of the current data corresponding to the area, and the amplitudes of all other areas on the surface of the object to be tested except the area. If the mean amplitude of the current data is significantly different from the mean amplitude of other areas, it may indicate that abnormal propagation of ultrasonic signals has occurred inside the area. In this way, by combining the disorder characteristics of the current signal, the detection sensitivity of tiny defects or material inhomogeneities of the object to be tested is enhanced, thereby more effectively evaluating the ultrasonic disorder factor of each area.

[0083] Specifically, for the The method can use the following formula to calculate the first area. Ultrasonic disturbances in the region : in, Indicates The ultrasonic disturbance factor of each region is Indicates The amplitude variance of the current data in each region, Indicates The mean amplitude of the current data in each region, Indicates that the surface of the object to be tested is The collection of all other regions outside the region, Representing a collection The average of the amplitude averages of the current data corresponding to all regions in the test object is the average of the amplitude averages of the current data corresponding to all regions in the test object. The mean of the amplitude mean of the current data corresponding to all other regions outside the region, Represents the base 2 logarithmic function.

[0084] Optionally, calculating the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area includes: calculating the structural defect coefficient of the target area according to the slope mean, maximum amplitude, minimum amplitude, and time distance between the maximum amplitude and the minimum amplitude of the current data corresponding to the target area.

[0085] For areas with structural defects inside the object to be tested, the arrival time of the signal may be significantly delayed or advanced due to reflection and scattering. Therefore, it is necessary to further analyze the current data corresponding to the target area to ensure the accuracy of subsequent results. In areas with uneven materials, changes in material properties (such as density or elastic modulus) will cause changes in the frequency and phase of ultrasonic waves during propagation, thereby causing the current signal amplitude and waveform to change smoothly. The structural defect area will cause differences in the edges of the internal materials, causing severe reflection and scattering of the ultrasonic waves during propagation, resulting in a sudden change in the resulting current signal. In the structural defect area, the ultrasonic signal will form an obvious echo peak due to strong reflection and scattering, which is manifested as a signal high point in the corresponding current data. Therefore, the structural defect coefficient can be measured in combination with the current data slope and extreme values. In this embodiment, for each target area, the method can calculate the structural defect coefficient of the target area based on the slope mean, maximum amplitude, minimum amplitude, and time distance between the maximum amplitude and the minimum amplitude of the current data corresponding to the target area. Specifically, for the first The method can calculate the structural defect coefficient of a target area by the following formula: : in, Indicates The structural defect coefficient of the target area, Indicates The slope mean of the current data corresponding to the target area, Indicates The maximum amplitude value in the current data corresponding to the target area, Indicates The minimum amplitude value in the current data corresponding to the target area, Indicates The maximum amplitude value in the current data corresponding to the target area Minimum value of amplitude The time distance between them.

[0086] In the above formula, Indicates The slope mean of the current data corresponding to the target area. The larger the value, the The higher the possibility of mutation of the current data corresponding to the target area, the higher the probability of mutation of the current data corresponding to the target area. The greater the possibility that there are structural defects inside the target area.

[0087] Optionally, the method of calculating the acoustic wave degradation factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic disorder factor and the structural defect coefficient, includes: calculating the acoustic wave degradation factor of the target area according to the amplitude mean difference between the current data corresponding to the target area and the current data corresponding to each area in the first area set, the ultrasonic disorder factor and the structural defect coefficient of the current data corresponding to each area in the first area set.

[0088] There will be obvious differences in the scattering effects of ultrasonic signals caused by different degrees of structural defects of the object to be tested. Different types of structural defects (such as cracks, pores, inclusions, etc.) will affect the propagation and scattering of ultrasonic waves in different ways. Specifically, cracks usually cause strong reflection and scattering of ultrasonic signals, while other types of defects may show relatively weak scattering of ultrasonic signals. When the ultrasonic signal is severely scattered, its corresponding current data will show obvious attenuation, which will show a large difference between the current amplitude of the current area and the surrounding area. Therefore, for each target area, the method can calculate the acoustic wave degradation factor of the target area based on the amplitude mean difference between the current data corresponding to the target area and the current data corresponding to each area in the first area set, the ultrasonic disorder factor of the current data corresponding to each area in the first area set, and the structural defect coefficient. The first area set includes at least one area adjacent to the target area, and the adjacent areas of a target area can be identified based on whether there is a common boundary between the areas on the surface of the object to be tested.

[0089] Specifically, for the The method can calculate the acoustic wave degradation factor of the target area by the following formula: : in, Indicates The acoustic degradation factor of the target area, Indicates that The target area adjacent areas, Indicates The number of neighboring regions of the target region, Indicates The mean amplitude of the current data corresponding to the target area, Indicates The target area The average amplitude of the current data corresponding to the adjacent regions, Indicates The target area The ultrasonic disturbance factor of adjacent areas, Indicates The target area The structural defect coefficient of adjacent regions is is the normalization function.

[0090] Optionally, the clutter signal strength factor of the target area is calculated based on the ultrasonic disorder factor, structural defect coefficient and acoustic wave degradation factor of the target area, including: obtaining the centroid position of each area on the surface of the object to be measured; calculating the Euclidean distance between the centroid position of the target area and the centroid position of each area on the surface of the object to be measured; determining a preset number of areas with the smallest Euclidean distance from the target area as a second area set of the target area; and calculating the clutter signal strength factor of the target area based on the ultrasonic disorder factor, structural defect coefficient and acoustic wave degradation factor of the current data corresponding to the target area, and the Euclidean distance between the target area and each area in the second area set.

[0091] The large amount of ultrasonic signal scattering caused by the serious structural defects inside the object to be tested not only affects the current data in the area where the structural defects are located, but also interferes with the signals of other areas adjacent to the area where the structural defects are located, causing the current signals of other adjacent areas to be distorted. In other words, for a target area, if there are many ultrasonic high scattering areas around it, the ultrasonic signal of the target area will be more significantly affected by these ultrasonic high scattering areas, resulting in an increase in the signal intensity of the signal clutter in the target area.

[0092] Therefore, the method can obtain the centroid position of each area on the surface of the object to be tested; calculate the Euclidean distance between the centroid position of the target area and the centroid position of each area on the surface of the object to be tested; determine a preset number of areas with the smallest Euclidean distance from the target area as the second area set of the target area; calculate the clutter signal intensity factor of the target area according to the ultrasonic turbulence factor, structural defect coefficient, and acoustic wave degradation effect factor of the current data corresponding to the target area, and the Euclidean distance between the target area and each area in the second area set. The preset number can be set according to actual detection needs. In some embodiments, the preset number can be 6. Specifically, for the first The method can calculate the clutter signal strength factor of the target area by the following formula: : in, Indicates The clutter signal strength factor of the target area, Indicates The number of regions with the minimum Euclidean distance between target regions, Indicates The Euclidean distance between target regions is the smallest in the region Regions, Indicates The target area and The Euclidean distance between regions, Indicates Ultrasonic disturbance factor of the target area, Indicates The structural defect coefficient of the target area, Indicates The acoustic degradation factor of the target area.

[0093] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0094] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An array-integrated optical fiber ultrasonic imaging positioning detection method, characterized in that: The method comprises: Acquire multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected by multiple target areas on the surface of the object to be measured, wherein each target area corresponds to a set of current data; For each target area, a clutter signal intensity factor of the target area is calculated according to the current data corresponding to the target area; For each target area, the arrival time difference of the target area is corrected according to its corresponding clutter signal strength factor; Reconstructing an ultrasonic image of the object to be measured using the corrected arrival time difference of each target area; The method of obtaining multiple sets of current data generated by the optical fiber ultrasonic array sensor receiving ultrasonic waves reflected from multiple target areas on the surface of the object to be measured includes: Acquire multiple sets of current data generated by the fiber optic ultrasonic array sensor receiving ultrasonic waves reflected from multiple regions on the surface of the object to be measured, wherein each region corresponds to a set of current data; For each region, the ultrasonic disturbance factor of the region is calculated according to the current data corresponding to the region; Determine the area where the ultrasonic disturbance factor is greater than a preset threshold as the target area; A set of current data corresponding to each region includes current signals generated by the optical fiber ultrasonic array sensor receiving ultrasonic waves reflected from the region for multiple consecutive times; For each target area, calculating the clutter signal intensity factor of the target area according to the current data corresponding to the target area includes: For each target area, a clutter signal intensity factor of the target area is calculated according to the amplitude and slope of the current data corresponding to the target area; For each target area, calculating the clutter signal intensity factor of the target area according to the amplitude and slope of the current data corresponding to the target area includes: For each target area, calculating the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area; Calculating the acoustic wave degradation factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient, wherein the first area set includes at least one area adjacent to the target area; The clutter signal intensity factor of the target area is calculated according to the ultrasonic turbulence factor, structural defect coefficient and acoustic wave degradation effect factor of the target area.

2. The array-integrated optical fiber ultrasonic imaging positioning detection method according to claim 1, characterized in that: For each region, calculating the ultrasonic disturbance factor of the region according to the current data corresponding to the region includes: For each region, the ultrasonic disturbance factor of the region is calculated according to the amplitude and variance of the current data corresponding to the region and the amplitudes of all other regions on the surface of the object to be measured except the region.

3. The array-integrated optical fiber ultrasonic imaging positioning detection method according to claim 1, characterized in that: The step of calculating the structural defect coefficient of the target area according to the slope and extreme value of the current data corresponding to the target area includes: The structural defect coefficient of the target area is calculated according to the slope average, the maximum amplitude, the minimum amplitude, and the time distance between the maximum amplitude and the minimum amplitude of the current data corresponding to the target area.

4. The array-integrated optical fiber ultrasonic imaging positioning detection method according to claim 1, characterized in that: The step of calculating the acoustic wave degradation factor of the target area according to the amplitude of the current data corresponding to each area in the first area set, the ultrasonic turbulence factor, and the structural defect coefficient includes: The acoustic wave degradation factor of the target area is calculated based on the amplitude mean difference between the current data corresponding to the target area and the current data corresponding to each area in the first area set, the ultrasonic turbulence factor and the structural defect coefficient of the current data corresponding to each area in the first area set.

5. The array-integrated optical fiber ultrasonic imaging positioning detection method according to claim 1, characterized in that: The step of calculating the clutter signal intensity factor of the target area according to the ultrasonic disturbance factor, the structural defect coefficient and the acoustic wave degradation effect factor of the target area comprises: Obtaining the centroid position of each area on the surface of the object to be measured; Calculating the Euclidean distance between the centroid position of the target area and the centroid position of each area on the surface of the object to be measured; Determine a preset number of regions having the smallest Euclidean distances from the target region as a second region set of the target region; The clutter signal intensity factor of the target area is calculated according to the ultrasonic turbulence factor, structural defect coefficient, acoustic degradation effect factor of the current data corresponding to the target area, and the Euclidean distance between the target area and each area in the second area set.

6. The array-integrated optical fiber ultrasonic imaging positioning detection method according to claim 1, characterized in that: Each area on the surface of the object to be detected is a detection area on the surface of the object to be detected when a single sensor in the optical fiber ultrasonic array sensor detects the object to be detected.

7. The array-integrated optical fiber ultrasonic imaging positioning detection method according to any one of claims 1 to 6, characterized in that: For each target area, the arrival time difference of the target area is corrected according to the corresponding clutter signal strength factor, including: For each target area, a corrected arrival time difference of the target area is calculated according to the initial arrival time difference of the target area and the clutter signal strength factor of the current data corresponding to the target area.

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