Power transmission fitting crimping area ultrasonic sensor control method and system based on dual-mode focusing, storage medium and equipment

Abstract

The invention discloses a power transmission fitting crimping area ultrasonic sensor control method and system based on dual-mode focusing, a storage medium and equipment, and relates to the technical field of power compression fitting ultrasonic detection, and the method comprises the steps: S1, system initialization: configuring pulse width parameters of two times of scanning; s2, executing first wave scanning: controlling the central core array element group to emit a first long pulse, and controlling the peripheral edge array element group to emit a first short pulse at the same time to form a central depth focusing sound field; s3, executing second wave scanning: controlling the center core array element group to emit a second short pulse, and controlling the peripheral edge array element group to emit a second long pulse at the same time to form an edge high-resolution focusing sound field; s4, data acquisition: synchronously acquiring and storing full-matrix echo data of two waves; and S5, fusion processing: carrying out fusion processing on the full-matrix data of the two waves, reconstructing a three-dimensional acoustic image in the crimping fitting, and carrying out automatic defect identification and positioning.

Description

Technical Field

[0001] This invention relates to the field of ultrasonic testing technology for power transmission fittings, specifically a control method for ultrasonic sensors in the crimping area of ​​power transmission fittings based on dual-mode focusing. Background Technology

[0002] Crimped transmission fittings are critical connecting components in high-voltage transmission lines, and the quality of their internal crimping directly determines the mechanical strength and conductivity of the conductors. Internal defects such as cracks, incomplete compaction, and overheating are highly concealed. Traditional testing methods, such as X-rays, pose problems such as radiation safety and bulky equipment, while conventional ultrasonic testing is ineffective due to the complex structure of the fittings and the difficulty in effectively covering the entire crimping area with the sound beam.

[0003] While existing phased array ultrasound technology can achieve beam deflection and focusing, when detecting press-fit areas with significant anisotropy, a single focusing mode often struggles to balance penetration and resolution. Central focusing mode offers strong penetration but insufficient edge resolution, while edge focusing mode provides high resolution but weak detection capability in the central region. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, storage medium, and device for controlling ultrasonic sensors in the crimping area of ​​power transmission fittings based on dual-mode focusing, so as to solve the problems in the prior art mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling an ultrasonic sensor in the crimping area of ​​power transmission fittings based on dual-mode focusing, comprising:

[0006] S1 system initialization: Configure the pulse width parameters for two scans;

[0007] S2 performs the first wave of scanning: the core array element at the control center emits the first long pulse, while simultaneously controlling the outer edge array elements to emit the first short pulse, forming a central depth-focused sound field;

[0008] S3 performs the second wave of scanning: the core array element at the control center emits a second short pulse, while simultaneously controlling the outer edge array elements to emit a second long pulse, forming a high-resolution focused sound field at the edge;

[0009] S4 data acquisition: Simultaneously acquires and stores full matrix echo data for two waves;

[0010] S5 Fusion Processing: The full matrix data of the two waves are fused to reconstruct a three-dimensional acoustic image of the inside of the press fitting, and to automatically identify and locate defects.

[0011] Preferably, S2 performs the first wave of scanning, specifically as follows:

[0012] The controller sends the first excitation timing command to all transmitting modules in the ultrasonic array module;

[0013] Control the 15 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 15ms;

[0014] Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 3ms;

[0015] By concentrating and deeply focusing the sound beam energy into the central area inside the crimping fitting.

[0016] Preferably, after S2 completes the first wave of scanning, S3 performs the second wave of scanning, as follows:

[0017] The controller sends a second excitation timing command to the ultrasonic array module;

[0018] Control the 13 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 3ms;

[0019] Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 15ms;

[0020] By deflecting and focusing the sound beam energy toward the inner edge and near-surface area of ​​the press-fit fitting.

[0021] Preferably, S4 data acquisition is as follows:

[0022] The ultrasonic array module receives reflected echoes from inside the fittings;

[0023] The controller records and stores the complete A-scan signal datasets for S2 and S3 respectively.

[0024] Preferably, the S5 fusion processing, which performs fusion imaging and defect identification on the detection data acquired and stored in S4, is as follows:

[0025] The central region depth data acquired by S2 is fused with the edge region high-resolution data acquired by S3 at the data layer.

[0026] Construct a three-dimensional acoustic image of the interior of the press-fit fitting;

[0027] It also performs automatic defect identification and location based on image features.

[0028] Preferably, the data layer fusion of the central region depth data acquired in S2 and the edge region high-resolution data acquired in S3 adopts a weighted superposition algorithm. Appropriate weights are assigned to different datasets according to the signal-to-noise ratio and source of the signal to synthesize a three-dimensional acoustic image that displays the deep structure and accurately characterizes the edge defects.

[0029] The preferred weighted superposition algorithm is as follows:

[0030] Dual-channel image reconstruction: Three-dimensional imaging processing is performed on the full matrix data acquired in the first and second waves respectively to generate a center depth-focused three-dimensional image Ic and an edge high-resolution focused three-dimensional image Ie;

[0031] Pixel-level adaptive weight calculation: For each point P(x,y,z) in the image space, calculate the corresponding fusion weights Wc(x,y,z) and We(x,y,z) based on the signal features of the first wave and the second wave at that point, respectively; the signal features include at least the local signal-to-noise ratio and spatial location information of that point;

[0032] The weights are calculated as follows: extract the signal segments Sc(t) and Se(t) from the original A-scan signals corresponding to point P in Ic and Ie, respectively; the formula for calculating the signal energy is as follows:

[0033] ,

[0034] Recalculate the weighting ratio:

[0035]

[0036] Based on the weight ratio, calculate the proportion of the primary wave and the secondary wave, and calculate Wc(x,y,z) and We(x,y,z). Then, calculate the weights according to the following formula:

[0037] .

[0038] Preferably, the synthesis of three-dimensional acoustic images that display deep structures and accurately characterize edge defects is as follows:

[0039] Synthesis Algorithm: The amplitude I(P) of any pixel P(x,y,z) in a 3D acoustic image is synthesized by the following formula:

[0040]

[0041] In the formula, N: the total number of array elements of the ultrasound array; s ij (t): The A-scan time-domain signal recorded when array element i transmits and array element j receives; d i d: Spatial geometric distance from pixel P to emission element i; j : Spatial geometric distance from pixel P to receiving element j; v: Sound velocity of the ultrasonic wave in the material of the inspected hardware; (d i + d j) / v: The total propagation time required for the sound wave to travel from transmitting element i to point P and then reflect back to receiving element j; |·|: Represents the envelope of the signal, obtained through Hilbert transform to obtain the amplitude information of the image, rather than the oscillating radio frequency signal;

[0042] By fusing the amplitude information from each point, a synthetic three-dimensional acoustic image can be formed.

[0043] Preferably, automatic defect identification and localization based on image features is performed as follows:

[0044] Image preprocessing and noise suppression: Adaptive filtering algorithm is used to suppress background noise while preserving the clarity of defect edges for the fused 3D acoustic image data;

[0045] Contrast Enhancement: Histogram equalization algorithm is applied to enhance the contrast between weakly reflected signals, tiny cracks, and the background in the image;

[0046] Defect region segmentation: A threshold segmentation algorithm is used to segment the pixel regions in the image that are suspected of being defects from the background material. The formula is as follows:

[0047]

[0048] In the formula, μ(x, y, z) is the arithmetic mean of the gray values ​​of all pixels within the local window. C is a constant offset, which is positive and is set to 5 to 15 gray levels to control the sensitivity of segmentation; the larger the value of C, the fewer the segmented areas; the smaller the value of C, the more the segmented areas.

[0049] Feature extraction: For each segmented suspected defect region, calculate a set of quantitative morphological and acoustic feature vectors;

[0050] Three-dimensional spatial positioning: Based on the coordinate system of the three-dimensional acoustic image, calculate the three-dimensional centroid coordinates (X, Y, Z) of each identified defect and determine its spatial bounding box; map the coordinates back to the actual physical coordinate system of the hardware to achieve millimeter-level precise positioning of the defect.

[0051] Preferably, the quantitative morphological and acoustic feature vectors specifically include: geometric features, acoustic response features, and spatial location features;

[0052] Among them, geometric features include: volume, equivalent diameter, surface area, aspect ratio, sphericity, and principal axis direction;

[0053] Acoustic response characteristics include: average echo amplitude, maximum echo amplitude, echo amplitude standard deviation, and signal energy integral;

[0054] Spatial location characteristics include: the distance of the defect center from the hardware surface, the distance from the center of the crimping area, and the distance from the edge.

[0055] Preferably, the 15ms ultrasonic pulse is a broadband or narrowband coded excitation signal;

[0056] A 3ms ultrasonic pulse is a narrow pulse excitation signal.

[0057] A system for controlling an ultrasonic sensor in the crimping zone of power transmission fittings based on dual-mode focusing, comprising:

[0058] An ultrasonic array module is divided into a central core array element group and an outer edge array element group, which are used to transmit scanning signals and receive reflected echoes.

[0059] The controller is used to control the transmission scanning signals of the ultrasonic array module and to record, process, and store the reflected echoes of the ultrasonic array module.

[0060] Preferably, the central core array consists of 13 ultrasonic sensors arranged in a cross array of 7 groups horizontally and 7 groups vertically.

[0061] Several peripheral array elements are set up around the central core array elements.

[0062] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of a method for controlling an ultrasonic sensor in the crimping zone of power transmission fittings based on dual-mode focusing.

[0063] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for controlling an ultrasonic sensor in the crimping zone of power transmission fittings based on dual-mode focusing.

[0064] Compared with the prior art, the beneficial effects of the present invention are:

[0065] This invention employs two distinct energy emission strategies—"strong at the center and weak at the edge" and "strong at the edge and weak at the center"—to simultaneously achieve penetrating detection of the deep center of the pressing area and high-resolution scanning of the edge region in a single detection, thus solving the problem that a single focusing mode cannot fully cover complex detection areas.

[0066] High defect detection rate: The first wave is beneficial for discovering volumetric defects deep inside the hardware (such as large areas of uncompacted areas), while the second wave is extremely sensitive to area defects such as edge cracks and interface peeling, significantly improving the detection rate of various defects.

[0067] The control logic is simple and efficient: This method does not require complex real-time delay calculations. It controls the sound field distribution by using a pre-set, fixed combination of two pulse durations. The control system is simple, reliable, and has a fast response speed, making it very suitable for rapid on-site testing.

[0068] High imaging quality: By fusing the data from two scans, more comprehensive information is obtained, the generated three-dimensional internal structure image has richer layers, and defects are displayed more clearly, which greatly facilitates the interpretation of the data by the inspectors. Attached Figure Description

[0069] The accompanying drawings, as part of this invention, are provided to further illustrate the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation thereof. Clearly, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0070] Figure 1 This is a flowchart of an ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing, according to the present invention.

[0071] Figure 2 This is a schematic diagram of the ultrasonic array module structure of the present invention;

[0072] Figure 3 This is a schematic diagram of the first wave scan of the ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to the present invention.

[0073] Figure 4 This is a schematic diagram of the second wave scan of the ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to the present invention. Detailed Implementation

[0074] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0075] Example 1

[0076] like Figure 1 As shown, a control method for ultrasonic sensors in the crimping area of ​​power transmission fittings based on dual-mode focusing includes:

[0077] S1 system initialization: Configure the pulse width parameters for two scans.

[0078] S2 performs the first wave of scanning: the core array element at the control center emits the first long pulse, while simultaneously controlling the outer edge array elements to emit the first short pulse, forming a central depth-focused sound field.

[0079] S3 performs the second wave of scanning: the core array element at the control center emits a second short pulse, while simultaneously controlling the outer edge array elements to emit a second long pulse, forming a high-resolution focused sound field at the edge.

[0080] S4 Data Acquisition: Simultaneously acquires and stores full matrix echo data for two waves.

[0081] S5 Fusion Processing: The full matrix data of the two waves are fused to reconstruct a three-dimensional acoustic image of the inside of the press fitting, and to automatically identify and locate defects.

[0082] As a further explanation: Figure 3 As shown, S2 performs the first wave of scanning, specifically as follows:

[0083] The controller sends the first excitation timing command to all transmitting modules in the ultrasonic array module;

[0084] Control the 15 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 15ms;

[0085] Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 3ms;

[0086] By concentrating and deeply focusing the sound beam energy into the central area inside the crimping fitting.

[0087] It should be noted that: a 15ms ultrasonic pulse is a wideband or narrowband coded excitation signal; a 3ms ultrasonic pulse is a narrow pulse excitation signal.

[0088] Figure 3 In the middle, the upper part shows the pulse width parameters of the first scan; the middle part shows the 13 core modules; the lower part shows the signal display of the crimping hardware; and an arc-shaped indicator shows the center depth focused sound field of the scan.

[0089] As further clarification: such as Figure 4 As shown, after S2 completes the first wave of scanning, S3 performs the second wave of scanning, as follows:

[0090] The controller sends a second excitation timing command to the ultrasonic array module;

[0091] Control the 13 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 3ms;

[0092] Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 15ms;

[0093] By deflecting and focusing the sound beam energy toward the inner edge and near-surface area of ​​the press-fit fitting.

[0094] It should be noted that: a 15ms ultrasonic pulse is a wideband or narrowband coded excitation signal; a 3ms ultrasonic pulse is a narrow pulse excitation signal.

[0095] Figure 4 In the middle, the upper part shows the pulse width parameters of the second scan; the middle part shows the 13 core modules; and the lower part shows the signal display of the crimping hardware, forming a high-resolution focused sound field at the edge.

[0096] As further explanation: S4 data acquisition is as follows:

[0097] The ultrasonic array module receives reflected echoes from inside the fittings;

[0098] The controller records and stores the complete A-scan signal datasets for S2 and S3 respectively.

[0099] As further explanation: S5 fusion processing, which performs fusion imaging and defect identification on the detection data acquired and stored by S4, is as follows:

[0100] The central region depth data acquired by S2 is fused with the edge region high-resolution data acquired by S3 at the data layer.

[0101] Construct a three-dimensional acoustic image of the interior of the press-fit fitting;

[0102] It also performs automatic defect identification and location based on image features.

[0103] It should be noted that the data layer fusion of the central region depth data acquired by S2 and the edge region high-resolution data acquired by S3 adopts a weighted superposition algorithm. Appropriate weights are assigned to different datasets according to the signal-to-noise ratio and source of the signal to synthesize a three-dimensional acoustic image that displays the deep structure and accurately characterizes edge defects.

[0104] As a further explanation, the weighted superposition algorithm is as follows:

[0105] Dual-channel image reconstruction: Three-dimensional imaging processing is performed on the full matrix data acquired in the first and second waves respectively to generate a center depth-focused three-dimensional image Ic and an edge high-resolution focused three-dimensional image Ie;

[0106] Pixel-level adaptive weight calculation: For each point P(x,y,z) in the image space, calculate the corresponding fusion weights Wc(x,y,z) and We(x,y,z) based on the signal features of the first wave and the second wave at that point, respectively; the signal features include at least the local signal-to-noise ratio and spatial location information of that point;

[0107] The weights are calculated as follows: extract the signal segments Sc(t) and Se(t) from the original A-scan signals corresponding to point P in Ic and Ie, respectively; the formula for calculating the signal energy is as follows:

[0108] ,

[0109] Recalculate the weighting ratio:

[0110]

[0111] Based on the weight ratio, calculate the proportion of the primary wave and the secondary wave, and calculate Wc(x,y,z) and We(x,y,z). Then, calculate the weights according to the following formula:

[0112] .

[0113] As further explanation, the synthesis of three-dimensional acoustic images that reveal deep structures and accurately characterize edge defects is as follows:

[0114] Synthesis Algorithm: The amplitude I(P) of any pixel P(x,y,z) in a 3D acoustic image is synthesized by the following formula:

[0115]

[0116] In the formula, N: the total number of array elements of the ultrasound array; s ij (t): The A-scan time-domain signal recorded when array element i transmits and array element j receives; d i d: Spatial geometric distance from pixel P to emission element i; j : Spatial geometric distance from pixel P to receiving element j; v: Sound velocity of the ultrasonic wave in the material of the inspected hardware; (d i + d j ) / v: The total propagation time required for the sound wave to travel from transmitting element i to point P and then reflect back to receiving element j; |·|: Represents the envelope of the signal, obtained through Hilbert transform to obtain the amplitude information of the image, rather than the oscillating radio frequency signal;

[0117] By fusing the amplitude information from each point, a synthetic three-dimensional acoustic image can be formed.

[0118] As a further explanation, the automatic identification and localization of defects based on image features is as follows:

[0119] Image preprocessing and noise suppression: Adaptive filtering algorithm is used to suppress background noise while preserving the clarity of defect edges for the fused 3D acoustic image data;

[0120] Contrast Enhancement: Histogram equalization algorithm is applied to enhance the contrast between weakly reflected signals, tiny cracks, and the background in the image;

[0121] Defect region segmentation: A threshold segmentation algorithm is used to segment the pixel regions in the image that are suspected of being defects from the background material. The formula is as follows:

[0122]

[0123] In the formula, μ(x, y, z) is the arithmetic mean of the gray values ​​of all pixels within the local window. C is a constant offset, which is positive and is set to 5 to 15 gray levels to control the sensitivity of segmentation; the larger the value of C, the fewer the segmented areas; the smaller the value of C, the more the segmented areas.

[0124] Feature extraction: For each segmented suspected defect region, calculate a set of quantitative morphological and acoustic feature vectors;

[0125] Three-dimensional spatial positioning: Based on the coordinate system of the three-dimensional acoustic image, calculate the three-dimensional centroid coordinates (X, Y, Z) of each identified defect and determine its spatial bounding box; map the coordinates back to the actual physical coordinate system of the hardware to achieve millimeter-level precise positioning of the defect.

[0126] It should be noted that the quantitative morphological and acoustic feature vectors specifically include: geometric features, acoustic response features, and spatial location features;

[0127] Including but not limited to:

[0128] Geometric features include: volume, equivalent diameter, surface area, aspect ratio, sphericity, and principal axis direction;

[0129] Acoustic response characteristics include: average echo amplitude, maximum echo amplitude, echo amplitude standard deviation, and signal energy integral;

[0130] Spatial location characteristics include: the distance of the defect center from the hardware surface, the distance from the center of the crimping area, and the distance from the edge.

[0131] Example 2

[0132] A system for controlling an ultrasonic sensor in the crimping zone of power transmission fittings based on dual-mode focusing, comprising:

[0133] An ultrasonic array module is divided into a central core array element group and an outer edge array element group, which are used to transmit scanning signals and receive reflected echoes.

[0134] The controller is used to control the transmission scanning signals of the ultrasonic array module and to record, process, and store the reflected echoes of the ultrasonic array module.

[0135] As a further explanation: Figure 2 As shown, the central core array consists of 13 ultrasonic sensors arranged in a cross array of 7 horizontal and 7 vertical directions.

[0136] It should be noted that the peripheral edge array elements are provided with several sets of ultrasonic sensors around the central core array elements, including but not limited to 2 or 7, and the specific number can be appropriately increased or decreased by those skilled in the art according to actual needs.

[0137] Example 3

[0138] A computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of a method for controlling an ultrasonic sensor in the crimping area of ​​power transmission fittings based on dual-mode focusing.

[0139] Example 4

[0140] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a method for controlling an ultrasonic sensor in the crimping zone of power transmission fittings based on dual-mode focusing.

[0141] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A control method for ultrasonic sensors in the crimping area of ​​power transmission fittings based on dual-mode focusing, characterized in that, include: S1 system initialization: Configure the pulse width parameters for two scans; S2 performs the first wave of scanning: the core array element at the control center emits the first long pulse, while simultaneously controlling the outer edge array elements to emit the first short pulse, forming a central depth-focused sound field; S3 performs the second wave of scanning: the core array element at the control center emits a second short pulse, while simultaneously controlling the outer edge array elements to emit a second long pulse, forming a high-resolution focused sound field at the edge; S4 data acquisition: Simultaneously acquires and stores full matrix echo data for two waves; S5 Fusion Processing: The full matrix data of the two waves are fused to reconstruct a three-dimensional acoustic image of the inside of the press fitting, and to automatically identify and locate defects.

2. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 1, characterized in that: S2 performs the first wave of scanning, as follows: The controller sends the first excitation timing command to all transmitting modules in the ultrasonic array module; Control the 13 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 15ms; Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 3ms; By concentrating and deeply focusing the sound beam energy into the central area inside the crimping fitting.

3. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 2, characterized in that: After S2 completes the first wave of scanning, S3 performs the second wave of scanning, as follows: The controller sends a second excitation timing command to the ultrasonic array module; Control the 13 core modules located in the central core array element group in the central region of the array to emit ultrasonic pulses lasting 3ms; Simultaneously control the outer edge array elements to emit ultrasonic pulses lasting 15ms; By deflecting and focusing the sound beam energy toward the inner edge and near-surface area of ​​the press-fit fitting.

4. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 3, characterized in that: S4 data acquisition details are as follows: The ultrasonic array module receives reflected echoes from inside the fittings; The controller records and stores the complete scan signal datasets for S2 and S3 respectively.

5. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 4, characterized in that: The S5 fusion processing performs fusion imaging and defect identification on the detection data acquired and stored by S4 as follows: The central region depth data acquired by S2 is fused with the edge region high-resolution data acquired by S3 at the data layer. Construct a three-dimensional acoustic image of the interior of the press-fit fitting; It also performs automatic defect identification and location based on image features.

6. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 5, characterized in that: The data layer fusion of the central region depth data acquired by S2 and the edge region high-resolution data acquired by S3 employs a weighted superposition algorithm. Appropriate weights are assigned to different datasets based on the signal-to-noise ratio and source of the signal, synthesizing a three-dimensional acoustic image that displays deep structure and accurately characterizes edge defects.

7. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 6, characterized in that: The weighted superposition algorithm is as follows: Dual-channel image reconstruction: Three-dimensional imaging processing is performed on the full matrix data acquired in the first and second waves respectively to generate a center depth-focused three-dimensional image Ic and an edge high-resolution focused three-dimensional image Ie; Pixel-level adaptive weight calculation: For each point P(x,y,z) in the image space, calculate the corresponding fusion weights Wc(x,y,z) and We(x,y,z) based on the signal features of the first wave and the second wave at that point, respectively; the signal features include at least the local signal-to-noise ratio and spatial location information of that point; The weights are calculated as follows: extract the signal segments Sc(t) and Se(t) of point P in the original A scan signals corresponding to Ic and Ie, respectively; the formula for calculating the signal energy is as follows: ， Recalculate the weighting ratio: Based on the weight ratio, calculate the proportion of the primary wave and the secondary wave, and calculate Wc(x,y,z) and We(x,y,z). Then, calculate the weights according to the following formula: 。 8. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 6, characterized in that: The synthesis of three-dimensional acoustic images that display deep structures and accurately characterize edge defects is as follows: Synthesis Algorithm: The amplitude I(P) of any pixel P(x,y,z) in a 3D acoustic image is synthesized by the following formula: In the formula, N: the total number of array elements of the ultrasound array; s ij (t): The A-scan time-domain signal recorded when array element i transmits and array element j receives; d i d: Spatial geometric distance from pixel P to emission element i; j : Spatial geometric distance from pixel P to receiving array element j; v: The velocity of ultrasound in the material being inspected; (d i + d j ) / v: The total propagation time required for the sound wave to travel from transmitting element i to point P and then reflect back to receiving element j; |·|: Represents the envelope of the signal, obtained through Hilbert transform to obtain the amplitude information of the image, rather than the oscillating radio frequency signal; By fusing the amplitude information from each point, a synthetic three-dimensional acoustic image can be formed.

9. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 5, characterized in that: Automatic defect identification and localization based on image features are as follows: Image preprocessing and noise suppression: Adaptive filtering algorithm is used to suppress background noise while preserving the clarity of defect edges for the fused 3D acoustic image data; Contrast Enhancement: Histogram equalization algorithm is applied to enhance the contrast between weakly reflected signals, tiny cracks, and the background in the image; Defect region segmentation: A threshold segmentation algorithm is used to segment the pixel regions in the image that are suspected of being defects from the background material. The formula is as follows: In the formula, μ(x, y, z) is the arithmetic mean of the gray values ​​of all pixels within the local window. C is a constant offset, which is positive and is set to 5 to 15 gray levels to control the sensitivity of segmentation; the larger the value of C, the fewer the segmented areas; the smaller the value of C, the more the segmented areas. Feature extraction: For each segmented suspected defect region, calculate a set of quantitative morphological and acoustic feature vectors; 3D spatial localization: Based on the coordinate system of the 3D acoustic image, calculate the 3D centroid coordinates (X, Y, Z) of each identified defect and determine its spatial bounding box; By mapping the coordinates back to the actual physical coordinate system of the hardware, millimeter-level precise positioning of defects can be achieved.

10. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to claim 9, characterized in that: Quantitative morphological and acoustic feature vectors specifically include: geometric features, acoustic response features, and spatial location features; Among them, geometric features include: volume, equivalent diameter, surface area, aspect ratio, sphericity, and principal axis direction; Acoustic response characteristics include: average echo amplitude, maximum echo amplitude, echo amplitude standard deviation, and signal energy integral; Spatial location characteristics include: the distance of the defect center from the hardware surface, the distance from the center of the crimping area, and the distance from the edge.

11. The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing according to any one of claims 2-10, characterized in that: The 15ms ultrasonic pulse is a wideband or narrowband coded excitation signal; A 3ms ultrasonic pulse is a narrow pulse excitation signal.

12. A system, characterized in that, The ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing, as described in any one of claims 1-11, comprises: An ultrasonic array module is divided into a central core array element group and an outer edge array element group, which are used to transmit scanning signals and receive reflected echoes. The controller is used to control the transmission scanning signals of the ultrasonic array module and to record, process, and store the reflected echoes of the ultrasonic array module.

13. The system according to claim 12, characterized in that: The central core array consists of 13 ultrasonic sensors arranged in a cross array of 7 horizontal and 7 vertical directions. Several peripheral array elements are set up around the central core array elements.

14. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing as described in any one of claims 1-11.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the ultrasonic sensor control method for the crimping area of ​​power transmission fittings based on dual-mode focusing as described in any one of claims 1-11.

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