Method and device for measuring pipe wall thickness based on double pressure resonance spectrum
Patent Information
- Application Number
- CN202611210818.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-11
- Publication Date
- 2026-11-03
AI Technical Summary
In existing technologies, pressure pipeline wall thickness detection is easily affected by factors such as coupling state, surface roughness, anti-corrosion layer thickness, and echo overlap when the wall is thin, has an anti-corrosion layer, or has a poor surface condition. This leads to inaccurate measurement results, especially when it is difficult to stably identify the true pipe wall thickness under different pressure conditions.
The dual-pressure resonance spectroscopy method is adopted. By collecting resonance spectra under different compression pressures at the same detection location, the effective wall thickness resonance peaks are screened by utilizing the stability of the resonance peaks under dual pressure conditions. This includes preprocessing, peak extraction, stability judgment, and wall thickness inversion, eliminating spurious peak interference and improving measurement accuracy.
It effectively reduces spurious peak interference caused by changes in coupling agent, anti-corrosion layer and contact state, improves the accuracy and repeatability of pipe wall thickness measurement, and is suitable for pressure pipeline inspection under complex surface conditions.
Smart Images
Figure CN123028546A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of pipeline inspection and testing technology, and in particular to a method and apparatus for measuring pipeline wall thickness based on dual-pressure resonance spectrum. Background Technology
[0002] Currently, pressure pipelines are widely used in petrochemical, energy transmission, urban gas supply, and industrial production. During their long-term service, they are susceptible to defects such as wall thinning and localized corrosion due to factors such as media corrosion, external environmental erosion, scouring and wear, and aging of the anti-corrosion coating. Among these factors, the remaining wall thickness of the pipeline is an important parameter for evaluating the safety status and remaining service life of pressure pipelines. Therefore, accurate and reliable wall thickness measurement of in-service pressure pipelines is of great significance.
[0003] In existing technologies, ultrasonic pulse-echo thickness measurement is commonly used for pressure pipeline wall thickness inspection. This method calculates the wall thickness by measuring the round-trip propagation time of ultrasonic waves within the pipe wall. While this method is simple in principle and widely used, it is easily affected by factors such as coupling state, surface roughness, corrosion layer thickness, and echo overlap in the inspection of thin-walled pipes, pipes with anti-corrosion coatings, or pipes with poor surface conditions. This can lead to difficulties in identifying the bottom echo or fluctuations in measurement results. Furthermore, for thinner-walled pipes, the ultrasonic echo interval is small, making it difficult for traditional time-domain echo methods to stably separate adjacent echoes, thus limiting the accuracy of thickness measurement. Further, existing technologies are beginning to explore ultrasonic resonance spectrum measurement methods. These methods analyze the thickness-direction resonance peaks generated by the pipe wall under frequency sweep or broadband excitation, and use the correspondence between resonance frequency and wall thickness to invert the pipe wall thickness. This approach is suitable for thin-walled structures or measurement scenarios with significant echo overlap.
[0004] However, under actual field testing conditions, the acquired resonance spectra are often less than ideal. The coupling agent layer, anti-corrosion layer, rust layer, and changes in contact pressure between the probe and the pipe can all introduce additional resonance peaks, spurious peaks, or baseline fluctuations into the spectrum, making it difficult to accurately identify the true pipe wall thickness resonance peak. Especially during manual handheld probe testing, the probe clamping force is difficult to maintain consistently at different measuring points or during repeated measurements, causing changes in the coupling layer thickness and contact area. This results in fluctuations in the resonance spectrum amplitude, peak width, and local small peaks, thus affecting the wall thickness inversion results. Furthermore, existing resonance spectrum thickness measurement methods typically perform peak picking based on the spectrum under a single pressure state and calculate the wall thickness based on the selected resonance peak. When anti-corrosion layer peaks, coupling agent peaks, or noise peaks are present in the resonance spectrum, peak misselection, order matching errors, and wall thickness calculation deviations are prone to occur.
[0005] Therefore, how to provide a method and device for measuring pipe wall thickness that can acquire resonance spectra under different pressure conditions and use the difference in dual-pressure resonance spectra to screen for stable pipe wall resonance peaks, thereby effectively improving the accuracy and reliability of pressure pipe wall thickness measurement under conditions of anti-corrosion coating or complex surface, has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention
[0006] The purpose of this invention is to provide a method and apparatus for measuring pipe wall thickness based on dual-pressure resonance spectrum, which solves the technical problems in the prior art of lacking the utilization of the stability differences of resonance spectrum under different compression states, and lacking an effective mechanism for identifying and eliminating interference peaks caused by contact conditions.
[0007] To achieve the above objectives, the present invention adopts the following technical solution: A method for measuring pipe wall thickness based on dual-pressure resonance spectrum includes the following steps: Device installation; Set the first pressure P1 and collect the resonance spectrum S1(f); Set a second pressure p2 and acquire the resonance spectrum S2(f); Resonance spectrum peak extraction; Peak matching and wall thickness inversion; Corrosion thinning evaluation output; The extraction of resonance spectrum peaks includes the following steps: Preprocess the original resonance spectrum; Find candidate peaks based on local maxima; Remove small noise peaks using a peak height threshold; Use peak width and prominence to filter for true peaks; Stability assessment under dual pressure; Output the selected resonance peaks that reflect the pipe wall thickness; The wall thickness inversion includes the following steps: Input the effective resonance peak, input the material sound velocity, input the wall thickness search range, and input the order range; For each peak, iterate through the order and calculate the candidate wall thickness. If it falls within the set wall thickness range, retain it. Find wall thickness clusters and determine the true wall thickness.
[0008] Furthermore, the extraction of resonance spectrum peaks specifically includes the following steps: The preprocessing of the original resonance spectrum includes baseline subtraction, smoothing filtering, and amplitude normalization. Baseline subtraction removes slowly fluctuating background noise. Smoothing filtering uses a moving average method to remove random noise. Amplitude normalization unifies the spectral amplitudes under different pressures to the same order of magnitude to avoid inconsistencies in overall amplitude due to different coupling pressures. Finally, a stable resonance spectrum is obtained. ; The method for finding candidate peaks based on local maxima is based on the following formula: , Where i represents the i-th point in the spectrum sequence; The method involves removing small noise peaks using a peak height threshold, and setting an adaptive threshold. ;in, It is the average value of the spectral amplitude. It is the standard deviation of the spectral amplitude; The method of screening for true peaks using peak width and prominence is used. A true resonant peak has a certain width and prominence, and is not an isolated sharp noise. Peak width represents the frequency range at which the peak value drops to half its maximum. Prominence represents the height of the peak relative to the valleys on either side. Peaks meeting the following conditions are screened according to the following formula: , ;in, It is the width of the peak. It refers to peak prominence; The stability assessment under dual pressure involves matching candidate peaks extracted under the first pressure P1 and the second pressure P2; if the frequency positions of a peak are close under the two pressures: If a peak is large only under a certain pressure, it is considered a stable peak; if a peak is large only under a certain pressure, or if the frequency drift is large, it is considered to be an interference peak caused by the coupling agent, anti-corrosion layer, or contact state.
[0009] Furthermore, the wall thickness inversion specifically includes the following steps: The input effective resonance peak The sound velocity of the input material The input wall thickness search range and the order range Among them, the highest order ; The process of traversing each peak for an order of time and calculating the candidate wall thickness is described. If If the wall thickness falls within the set range, it will be retained; among which, It is each peak, It is a class; The process involves finding wall thickness clusters, determining the true wall thickness, and grouping all candidate wall thicknesses together. If the wall thicknesses calculated from different peaks and orders are concentrated around a single value, then this wall thickness represents the true wall thickness; according to the following formula... The candidate wall thicknesses are scored, and the one with the highest score is the actual pipe wall thickness; among them... The weight of the i-th peak is obtained based on the amplitude of the corresponding peak. To allow for error, Let be the wall thickness corresponding to the i-th peak at the nth order.
[0010] A pipe wall thickness measurement device based on dual pressure resonance spectrum includes: a pressure adjustment knob, a pressure sensor, an ultrasonic probe, a clamp, and a sensor power supply module and a probe power supply module. The pressure adjustment knob is used to apply different pressures to the ultrasonic probe; The pressure sensor is used to receive different pressures generated by the pressure adjustment knob and transmit them to the flat plate through the sensor power supply module; The ultrasonic probe is used to excite ultrasonic waves on the surface of the pipe and receive reflected waves from the pipe, and transmits the ultrasonic information to the flat plate through the probe power supply module. The clamp is used to fix the ultrasonic probe to the surface of the pipe.
[0011] Specifically, the sensor power supply module includes a power supply line and a data transmission line. The power supply line is used to supply power to the pressure sensor, and the data transmission line is used to transmit the information collected by the pressure sensor.
[0012] Specifically, the probe power supply module includes a power supply line and a data transmission line. The power supply line is used to supply power to the ultrasound probe, and the data transmission line is used to transmit the information acquired by the ultrasound probe.
[0013] Compared with existing technologies, the pipe wall thickness measurement method and device based on dual pressure resonance spectrum described in this invention have the following advantages: The pipe wall thickness measurement method and device based on dual-pressure resonance spectrum provided by this invention collects resonance spectra under different clamping pressures at the same detection location, and selects effective wall thickness resonance peaks based on the stability of the resonance peaks under dual-pressure conditions. This can effectively reduce the interference of spurious peaks caused by changes in coupling agent, anti-corrosion layer and contact state, and effectively improve the accuracy and repeatability of pipe wall thickness inversion. It is suitable for measuring the wall thickness of pressure pipes under complex surface conditions in the field. Attached Figure Description
[0014] Figure 1 A schematic flowchart of a pipe wall thickness measurement method based on dual-pressure resonance spectrum provided in an embodiment of the present invention; Figure 2A schematic diagram of the pipe wall thickness measuring device based on dual pressure resonance spectrum provided in an embodiment of the present invention; Figure 3 This is the original dual-pressure resonance spectrum; Figure 4 The pre-processed dual-pressure resonance spectrum; Figure 5 It is a candidate resonance peak under dual pressure; Figure 6 The results are after screening for stable peaks and interfering peaks; Figure 7 Schematic diagram of stable peaks of different orders; Figure 8 Clustering and scoring curves for candidate wall thickness; Figure 9 To stabilize the resonance peak order matching and candidate wall thickness distribution.
[0015] Figure label: 1-Pressure adjustment knob; 2-Pressure sensor; 3-Ultrasonic probe; 4-Clamp; 5-Pipe; 6-Sensor power supply module; 7-Probe power supply module. Detailed Implementation
[0016] For ease of understanding, the pipe wall thickness measurement method and apparatus based on dual-pressure resonance spectrum provided in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0017] This invention provides a method for measuring pipe wall thickness based on dual-pressure resonance spectra, such as... Figure 1 As shown, it includes the following steps: Device installation; Set the first pressure P1 and collect the resonance spectrum S1(f); Set a second pressure p2 and acquire the resonance spectrum S2(f); Resonance spectrum peak extraction; Peak matching and wall thickness inversion; Corrosion thinning evaluation output; The extraction of resonance spectrum peaks includes the following steps: Preprocess the original resonance spectrum; Find candidate peaks based on local maxima; Remove small noise peaks using a peak height threshold; Use peak width and prominence to filter for true peaks; Stability assessment under dual pressure; Output the selected resonance peaks that reflect the pipe wall thickness; The wall thickness inversion includes the following steps: Input the effective resonance peak, input the material sound velocity, input the wall thickness search range, and input the order range; For each peak, iterate through the order and calculate the candidate wall thickness. If it falls within the set wall thickness range, retain it. Find wall thickness clusters and determine the true wall thickness.
[0018] This invention further provides a pipe wall thickness measurement device based on dual pressure resonance spectrum, such as... Figure 2 As shown, it includes: a pressure adjustment knob 1, a pressure sensor 2, an ultrasonic probe 3, a clamp 4, a sensor power supply module 6, and a probe power supply module 7; The pressure adjustment knob 1 is used to apply different pressures to the ultrasonic probe 3; Pressure sensor 2 is used to receive different pressures generated by pressure adjustment knob 1 and transmits them to the plate through sensor power supply module 6; The ultrasonic probe 3 is used to excite ultrasonic waves on the surface of the pipe 5 and to receive the reflected waves from the pipe 5, and transmits the ultrasonic information to the flat plate through the probe power supply module 7. The clamp 4 is used to fix the ultrasonic probe 3 to the surface of the pipe 5.
[0019] Compared with existing technologies, the pipe wall thickness measurement method and apparatus based on dual-pressure resonance spectrum described in this invention have the following advantages: The pipe wall thickness measurement method and device based on dual-pressure resonance spectrum provided in this invention collects resonance spectra under different clamping pressures at the same detection location, and selects effective wall thickness resonance peaks based on the stability of the resonance peaks under dual-pressure conditions. This effectively reduces the interference of spurious peaks caused by changes in coupling agent, anti-corrosion layer and contact state, and effectively improves the accuracy and repeatability of pipe wall thickness inversion. It is suitable for measuring the wall thickness of pressure pipes under complex surface conditions in the field.
[0020] Specifically, such as Figure 2 As shown, the sensor power supply module 6 may include a power supply line and a data transmission line. The power supply line is used to supply power to the pressure sensor 2, and the data transmission line is used to transmit the information collected by the pressure sensor 2.
[0021] Specifically, such as Figure 2 As shown, the probe power supply module 7 may include a power supply line and a data transmission line. The power supply line is used to supply power to the ultrasonic probe 3, and the data transmission line is used to transmit the information acquired by the ultrasonic probe 3.
[0022] Furthermore, the above-mentioned peak extraction of the resonance spectrum may specifically include the following steps: The original resonance spectrum undergoes preprocessing, including baseline subtraction, smoothing filtering, and amplitude normalization. Baseline subtraction removes background noise that fluctuates slowly throughout the spectrum. Smoothing filtering uses a moving average method to remove random noise. Amplitude normalization unifies the spectral amplitudes under different pressures to the same order of magnitude to avoid inconsistencies in overall amplitude due to different coupling pressures. Finally, a stable resonance spectrum is obtained. ; Candidate peaks are identified based on local maxima, and the selection method follows the formula: , Where i represents the i-th point in the spectrum sequence; Small noise peaks are removed using a peak height threshold; an adaptive threshold is set. ;in, It is the average value of the spectral amplitude. It is the standard deviation of the spectral amplitude; Filter for true peaks using peak width and prominence. A true resonant peak has a certain width and prominence, and is not an isolated sharp noise. Peak width represents the frequency range at which the peak value drops to half its maximum. Prominence represents the height of the peak relative to the valleys on either side. Peaks that meet the following conditions are selected according to the following formula: , ;in, It is the width of the peak. It refers to peak prominence; Stability assessment is performed under dual pressure. Candidate peaks extracted under the first pressure P1 and the second pressure P2 are matched. If the frequency positions of a peak are close under the two pressures: If a peak is large only under a certain pressure, it is considered a stable peak; if a peak is large only under a certain pressure, or if the frequency drift is large, it is considered to be an interference peak caused by the coupling agent, anti-corrosion layer, or contact state.
[0023] Furthermore, the above wall thickness inversion can specifically include the following steps: Input valid resonance peaks Input material sound velocity Enter the wall thickness search range and order range Among them, the highest order ; For each peak, traverse the order and calculate the candidate wall thickness. If If the wall thickness falls within the set range, it will be retained; among which, It is each peak, It is a class; Find wall thickness clusters, determine the true wall thickness, and put all candidate wall thicknesses together: If the wall thicknesses calculated from different peaks and orders are concentrated around a single value, then this wall thickness represents the true wall thickness; according to the following formula... The candidate wall thicknesses are scored, and the one with the highest score is the actual pipe wall thickness; among them... The weight of the i-th peak is obtained based on the amplitude of the corresponding peak. To allow for error, Let be the wall thickness corresponding to the i-th peak at the nth order. Specific Implementation Example 1: Taking a steel pipe as an example, the longitudinal wave velocity of the material is 5900m / s and the nominal wall thickness of the pipe is 10mm. During the test, the ultrasonic (resonance spectrum) probe is pressed against the same test position on the outer wall of the pipe through a pressure adjustable mechanism, and resonance spectrum signals are collected under the first pressure state P1 and the second pressure state P2 respectively. First, under the first pressure P1 and the second pressure P2, frequency sweep excitation and response acquisition were performed on the same measuring point to obtain two sets of original resonance spectra, as follows: Figure 3 As shown; by Figure 3 It can be seen that, in addition to the resonance peak of the pipe wall thickness, the original resonance spectrum also contains baseline fluctuations, random noise, and local small peaks caused by the coupling agent, anti-corrosion layer, and contact state. Due to the different degrees of probe compression under the two pressure states, the amplitude, peak width, and frequency position of some small peaks will change, while the frequency position of the resonance peak of the pipe wall thickness is relatively stable. Subsequently, the original resonance spectrum was preprocessed, including baseline subtraction, smoothing filtering, and amplitude normalization. Baseline subtraction was used to remove slowly changing background components from the spectrum, smoothing filtering was used to suppress random noise, and amplitude normalization was used to reduce the impact of overall amplitude differences under different pressure states on subsequent peak determination. The preprocessed dual-pressure resonance spectrum is shown below. Figure 4 As shown, after preprocessing, the position of the resonance peak is clearer, which facilitates subsequent peak extraction and comparison of dual-pressure stability. Next, candidate peaks were extracted from the preprocessed resonance spectra corresponding to the first pressure P1 and the second pressure P2, respectively. Specifically, local maxima were searched in the spectral sequence, and preliminary screening was performed using peak height thresholds, peak widths, and prominence to obtain candidate resonance peaks under the two pressure states. The candidate peak extraction results are as follows: Figure 5 As shown, for each candidate peak under pressure P1, the candidate peak with the closest frequency position under pressure P2 is found, and the frequency offset between the two is calculated. If the frequency shift of the candidate peak under two pressure states is less than a set threshold, the peak is identified as a stable resonance peak; if the frequency shift of the candidate peak is large under two pressure states, or if it only appears under a single pressure state, it is identified as a pressure-sensitive peak or a single-pressure interference peak; the screening results are as follows. Figure 6As shown, stable peaks are retained, while pressure-sensitive peaks and single-pressure interference peaks are removed, thus effectively distinguishing the pipe wall thickness resonance peak from the interference peaks caused by the coupling agent, anti-corrosion layer, and contact state. Furthermore, to illustrate the correspondence between the stable peaks obtained from the dual-pressure screening and the resonance order of the pipe wall thickness, the screened stable peaks were compared with the theoretical thickness resonance peaks, such as... Figure 7 As shown; the resonant frequency of the pipe wall thickness satisfies the following relationship: ;in, Let be the nth order thickness resonance frequency, v be the longitudinal wave velocity of the pipe material, h be the remaining wall thickness of the pipe, and n be the resonance order; Figure 7 It can be seen that the multiple stable peaks obtained by screening correspond to different resonance orders, and these stable peaks together constitute an effective family of resonance peaks that reflect the pipe wall thickness. During the wall thickness inversion process, the selected stable peaks are input as effective resonance peaks into the wall thickness inversion module; the material sound velocity is set to 5900 m / s, the wall thickness search range is 6–14 mm, and the order search range is 1–10; for each stable resonance peak... Iterate through the possible resonance orders n and calculate the candidate wall thickness according to the following formula: If the calculated candidate wall thickness falls within the preset wall thickness search range, it is retained; cluster analysis is performed on all stable peaks and their corresponding orders to calculate the candidate wall thickness, and a scoring function is constructed based on the concentration of the candidate wall thickness; the candidate wall thickness clustering and scoring results are as follows: Figure 8 As shown, the candidate wall thickness with the highest score corresponds to the wall thickness result supported by multiple stable resonance peaks, and therefore it is used as the inversion value of the remaining wall thickness of the pipeline. To further illustrate the support relationship between different stability peaks and different orders for the same wall thickness, the candidate wall thicknesses calculated for each stability peak at different orders are distributed and displayed, such as... Figure 9 As shown; by Figure 9 It can be seen that the candidate wall thicknesses obtained by multiple stable resonance peaks at the corresponding order are concentrated near the same wall thickness, indicating that the screened stable peaks belong to the same pipe wall thickness resonance peak family; finally, the pipe wall thickness inversion result obtained in this specific embodiment is close to 10 mm, which is consistent with the set pipe wall thickness.
[0025] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for measuring pipe wall thickness based on dual-pressure resonance spectrum, characterized in that, Includes the following steps: Device installation; Set the first pressure P1 and collect the resonance spectrum S1(f); Set a second pressure p2 and acquire the resonance spectrum S2(f); Resonance spectrum peak extraction; Peak matching and wall thickness inversion; Corrosion thinning evaluation output; The extraction of resonance spectrum peaks includes the following steps: Preprocess the original resonance spectrum; Find candidate peaks based on local maxima; Remove small noise peaks using a peak height threshold; Use peak width and prominence to filter for true peaks; Stability assessment under dual pressure; Output the selected resonance peaks that reflect the pipe wall thickness; The wall thickness inversion includes the following steps: Input the effective resonance peak, input the material sound velocity, input the wall thickness search range, and input the order range; For each peak, iterate through the order and calculate the candidate wall thickness. If it falls within the set wall thickness range, retain it. Find wall thickness clusters and determine the true wall thickness.
2. The pipe wall thickness measurement method based on dual-pressure resonance spectrum according to claim 1, characterized in that, The extraction of resonance spectrum peaks specifically includes the following steps: The preprocessing of the original resonance spectrum includes baseline subtraction, smoothing filtering, and amplitude normalization. Baseline subtraction removes slowly fluctuating background noise. Smoothing filtering uses a moving average method to remove random noise. Amplitude normalization unifies the spectral amplitudes under different pressures to the same order of magnitude to avoid inconsistencies in overall amplitude due to different coupling pressures. Finally, a stable resonance spectrum is obtained. ; The method for finding candidate peaks based on local maxima is based on the following formula: , Where i represents the i-th point in the spectrum sequence; The method involves removing small noise peaks using a peak height threshold, and setting an adaptive threshold. ;in, It is the average value of the spectral amplitude. It is the standard deviation of the spectral amplitude; The method of screening for true peaks using peak width and prominence is used. A true resonant peak has a certain width and prominence, and is not an isolated sharp noise. Peak width represents the frequency range at which the peak value drops to half its maximum. Prominence represents the height of the peak relative to the valleys on either side. Peaks meeting the following conditions are screened according to the following formula: , ;in, It is the width of the peak. It refers to peak prominence; The stability assessment under dual pressure involves matching candidate peaks extracted under the first pressure P1 and the second pressure P2; if the frequency positions of a peak are close under the two pressures: If a peak is large only under a certain pressure, it is considered a stable peak; if a peak is large only under a certain pressure, or if the frequency drift is large, it is considered to be an interference peak caused by the coupling agent, anti-corrosion layer, or contact state.
3. The pipe wall thickness measurement method based on dual-pressure resonance spectrum according to claim 2, characterized in that, The wall thickness inversion specifically includes the following steps: The input effective resonance peak The sound velocity of the input material The input wall thickness search range and the order range Among them, the highest order ; The process of traversing each peak for an order of time and calculating the candidate wall thickness is described. If If the wall thickness falls within the set range, it will be retained; among which, It is each peak, It is a class; The process involves finding wall thickness clusters, determining the true wall thickness, and grouping all candidate wall thicknesses together. If the wall thicknesses calculated from different peaks and orders are concentrated around a single value, then this wall thickness represents the true wall thickness; according to the following formula... The candidate wall thicknesses are scored, and the one with the highest score is the actual pipe wall thickness; among them... The weight of the i-th peak is obtained based on the amplitude of the corresponding peak. To allow for error, Let be the wall thickness corresponding to the i-th peak at the nth order.
4. A pipe wall thickness measuring device based on dual-pressure resonance spectrum, characterized in that, include: Pressure adjustment knob, pressure sensor, ultrasonic probe, clamp, and sensor power supply module and probe power supply module; The pressure adjustment knob is used to apply different pressures to the ultrasonic probe; The pressure sensor is used to receive different pressures generated by the pressure adjustment knob and transmit them to the flat plate through the sensor power supply module; The ultrasonic probe is used to excite ultrasonic waves on the surface of the pipe and receive reflected waves from the pipe, and transmits the ultrasonic information to the flat plate through the probe power supply module. The clamp is used to fix the ultrasonic probe to the surface of the pipe.
5. The pipe wall thickness measuring device based on dual pressure resonance spectrum according to claim 4, characterized in that, The sensor power supply module includes a power supply line and a data transmission line. The power supply line is used to supply power to the pressure sensor, and the data transmission line is used to transmit the information collected by the pressure sensor.
6. The pipe wall thickness measuring device based on dual pressure resonance spectrum according to claim 4 or 5, characterized in that, The probe power supply module includes a power supply line and a data transmission line. The power supply line is used to supply power to the ultrasound probe, and the data transmission line is used to transmit the information acquired by the ultrasound probe.