Method and device for determining thickness of target object, storage medium and computer program product

Abstract

The present application discloses a method and device for determining the thickness of a target object, a storage medium, and a computer program product, relating to the field of marine engineering. The method for determining the thickness of a target object comprises: determining the speed of sound in water of an ultrasonic wave emitted by a detection device based on environmental parameters in the water, wherein the detection device is used to detect the thickness of an underwater steel structure; correcting the amplitude of a first reflected signal measured by the ultrasonic wave based on a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the effect of the surface state of the underwater steel structure on the propagation of the ultrasonic wave; and determining the thickness of the underwater steel structure based on the sound speed and the second reflected signal amplitude. The above technical solution solves the problem in the prior art of determining the thickness of an underwater steel structure by only fixing the sound speed, resulting in inaccurate detection data.

Description

Technical Field

[0001] The present application relates to the field of marine engineering, and in particular to a method and device for determining the thickness of a target object, a storage medium, and a computer program product. Background Art

[0002] Traditional ultrasonic testing methods often calculate the thickness of underwater steel structures based on a fixed speed of sound. However, in complex and changing marine environments, deviations from the fixed speed of sound can lead to significant errors in the measured thickness data. For example, rising water temperature increases the speed of sound, while increased pressure has a similar effect. Without correction, these variations can lead to inaccurate calculations of ultrasonic propagation time, compromising the accuracy of thickness measurements.

[0003] Currently, no effective solution has been proposed to the problem that the thickness of underwater steel structures is determined only by fixing the speed of sound, which leads to inaccurate detection data.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the Invention

[0005] The embodiments of the present application provide a method and apparatus for determining the thickness of a target object, a storage medium, and a computer program product, so as to at least solve the problem in the related art of determining the thickness of underwater steel structures only by fixing the speed of sound, resulting in inaccurate detection data.

[0006] According to one aspect of an embodiment of the present application, a method for determining the thickness of a target object is provided, comprising: determining the speed of sound in water of an ultrasonic wave emitted by a detection device based on environmental parameters in the water, wherein the detection device is used to detect the thickness of an underwater steel structure; correcting a first reflected signal amplitude measured by the ultrasonic wave based on a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave; and determining the thickness of the underwater steel structure based on the speed of sound and the second reflected signal amplitude.

[0007] In an exemplary embodiment, determining the sound velocity of the ultrasonic wave emitted by the detection device in water according to the environmental parameters in the water includes: determining the sound velocity v according to the following formula: v = 1449.2 + 4.6T - 0.055T 2 +0.00029T 3 +(1.34-0.01T)(S-35)+0.016D, wherein T is the water temperature, S is the salinity of the water, and D is the depth of the water. The environmental parameters include: the water temperature, the salinity, and the depth.

[0008] In an exemplary embodiment, before correcting the first reflected signal amplitude of the ultrasonic measurement according to the surface correction coefficient of the underwater steel structure to obtain the second reflected signal amplitude, the method further includes: determining the surface correction coefficient C according to the following formula surf : Among them, C surf The value range of is [0, 1], β is used to characterize the attenuation degree of the surface material of the underwater steel structure to the ultrasonic wave during the propagation process, t surf is the thickness of the surface material of the underwater steel structure.

[0009] In an exemplary embodiment, the first reflected signal amplitude measured by the ultrasonic wave is corrected according to the surface correction coefficient of the underwater steel structure to obtain the second reflected signal amplitude, including: determining the second reflected signal amplitude A according to the following formula corr :A corr =A meas ·C surf , where A meas is the amplitude of the first reflected signal, C surf is the surface correction coefficient.

[0010] In an exemplary embodiment, before determining the thickness of the underwater steel structure based on the sound speed and the second reflected signal amplitude, the method further includes: determining an attenuation correction amount of the reflected signal received by the detection device based on the first reflected signal amplitude and the second reflected signal amplitude, wherein the attenuation correction amount is used to characterize the signal intensity deviation of the ultrasonic wave during the propagation process.

[0011] In an exemplary embodiment, determining the attenuation correction amount of the reflection signal received by the detection device according to the first reflection signal amplitude and the second reflection signal amplitude includes: determining the attenuation correction amount δ (A) according to the following formula corr ): Among them, A meas is the amplitude of the first reflected signal, A corr is the amplitude of the second reflected signal, and α is the attenuation coefficient of the ultrasonic wave.

[0012] In an exemplary embodiment, determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal includes: determining the thickness d of the underwater steel structure according to the following formula: final : Wherein, v is the speed of sound, T meas is the round trip propagation time of the ultrasonic wave, δ(A corr ) is the attenuation correction amount.

[0013] According to another aspect of an embodiment of the present application, a device for determining the thickness of a target object is also provided, including: a first determination module, used to determine the sound velocity of an ultrasonic wave emitted by a detection device in water based on environmental parameters in the water, wherein the detection device is used to detect the thickness of the underwater steel structure; a correction module, used to correct the first reflected signal amplitude of the ultrasonic wave measurement based on a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the ultrasonic wave during propagation; a second determination module, used to determine the thickness of the underwater steel structure based on the sound velocity and the second reflected signal amplitude.

[0014] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored. The computer program is configured to execute the above-mentioned method for determining the thickness of the target object when running.

[0015] According to another aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for determining the thickness of the target object through the computer program.

[0016] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, which implements the steps of the method described in each embodiment of the present application when executed by a processor.

[0017] This application determines the speed of sound in water emitted by ultrasonic waves from a detection device based on environmental parameters in the water. The amplitude of the first reflected signal measured by the ultrasonic wave is corrected based on the surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude. The thickness of the underwater steel structure is then determined based on the speed of sound and the second reflected signal amplitude. This solves the problem in related technologies that only determine the thickness of underwater steel structures by fixing the speed of sound, resulting in inaccurate detection data. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a hardware structure block diagram of a detection device for a method for determining the thickness of a target object according to an embodiment of the present application;

[0021] Figure 2 is a flow chart of a method for determining the thickness of a target object according to an embodiment of the present application;

[0022] Figure 3 is a schematic diagram of a method for determining the thickness of a target object according to an embodiment of the present application;

[0023] Figure 4 This is a structural block diagram of a device for determining the thickness of a target object according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a detection device or a similar computing device. Taking running on a detection device as an example, Figure 1 This is a hardware structure block diagram of a detection device for a method for determining the thickness of a target object according to an embodiment of the present application. Figure 1 As shown, the detection device may include one or more ( Figure 1Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA) and a memory 104 for storing data, wherein the above-mentioned detection device may also include a transmission device 106 for communication functions and an input and output device 108. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above detection device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the thickness of the target object in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implementing the above-mentioned method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories may be connected to the detection device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0028] The wireless network provided by the communication provider of the detection device. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station to communicate with the Internet. In one embodiment, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0029] In this embodiment, a method for determining the thickness of a target object is provided, which is applied to the above-mentioned detection device. Figure 2 is a flow chart of a method for determining the thickness of a target object according to an embodiment of the present application. Figure 2 As shown, the process includes the following steps:

[0030] Step S202, determining the speed of sound in water of ultrasonic waves emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of the underwater steel structure;

[0031] Step S204: Correcting the amplitude of the first reflected signal measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave;

[0032] Step S206: determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

[0033] Through the above steps, the speed of sound in water emitted by a detection device used to detect the thickness of an underwater steel structure is determined based on environmental parameters in the water. The detection device is used to detect the thickness of an underwater steel structure. The amplitude of the first reflected signal measured by the ultrasonic wave is corrected based on a surface correction factor of the underwater steel structure to obtain a second reflected signal amplitude. The surface correction factor is used to quantify the effect of the surface condition of the underwater steel structure on the propagation of the ultrasonic wave. The thickness of the underwater steel structure is determined based on the speed of sound and the second reflected signal amplitude. This solves the problem in related technologies where the thickness of an underwater steel structure is determined solely by a fixed speed of sound, resulting in inaccurate detection data.

[0034] In an exemplary embodiment, determining the sound velocity of the ultrasonic wave emitted by the detection device in water according to the environmental parameters in the water includes: determining the sound velocity v according to the following formula: v = 1449.2 + 4.6T - 0.055T 2 +0.00029T 3 +(1.34-0.01T)(S-35)+0.016D, wherein T is the water temperature, S is the salinity of the water, and D is the depth of the water. The environmental parameters include: the water temperature, the salinity, and the depth.

[0035] In underwater ultrasonic testing, the accuracy of sound velocity is crucial for measuring the thickness of underwater steel structures, as it directly influences the calculation of ultrasonic wave propagation time, which in turn affects the accuracy of thickness measurements. Underwater, the sound velocity increases with increasing water temperature. This is because rising temperature reduces water density and increases its rigidity, thereby accelerating the propagation of sound waves. Increased salinity also increases the sound velocity. The impact of changes in seawater salt content on sound velocity cannot be ignored, especially when salinity varies significantly across different sea areas or seasons. Salinity correction can improve testing accuracy. Water depth is related to pressure; increased depth means increased pressure. Changes in pressure also affect sound velocity, with increased pressure generally leading to faster sound velocity. Therefore, depth is equally important in adjusting sound velocity parameters.

[0036] In an exemplary embodiment, before correcting the first reflected signal amplitude of the ultrasonic measurement according to the surface correction coefficient of the underwater steel structure to obtain the second reflected signal amplitude, the method further includes: determining the surface correction coefficient C according to the following formula surf : Among them, C surf The value range of is [0, 1], β is used to characterize the attenuation degree of the surface material of the underwater steel structure to the ultrasonic wave during the propagation process, t surf is the thickness of the surface material of the underwater steel structure.

[0037] This example uses exponential calculations to simulate the attenuation of ultrasonic signals passing through surface materials. This is because the attenuation of ultrasonic signal intensity is cumulative when passing through layers of material of varying thickness, and this attenuation is dependent on the material's attenuation characteristics. The use of exponential calculations effectively reflects this cumulative attenuation characteristic.

[0038] For example, when an ultrasonic signal passes through a surface material, the attenuation of the signal intensity will increase with the thickness of the surface material. surf If the attenuation coefficient β is small, then even if the thickness of the surface material t surf Larger, the final calculated surface correction coefficient C surf It may also be relatively large, which means that the influence of signal attenuation is not significant and the correction amount of the detection result is small. On the contrary, if the attenuation coefficient β is large, even if the thickness of the surface material t surf Small, surface correction coefficient C surf The value of may also decrease significantly, indicating that a larger correction amount is needed to compensate for the attenuation of the signal.

[0039] In this way, the surface correction coefficient can be dynamically adjusted according to the specific surface conditions (material type, thickness and attenuation characteristics), ensuring that the ultrasonic testing results can accurately reflect the true thickness of the underwater steel structure without being affected by the surface material conditions.

[0040] In an exemplary embodiment, the first reflected signal amplitude measured by the ultrasonic wave is corrected according to the surface correction coefficient of the underwater steel structure to obtain the second reflected signal amplitude, including: determining the second reflected signal amplitude A according to the following formula corr :A corr =A meas ·C surf , where A meas is the amplitude of the first reflected signal, C surf is the surface correction coefficient.

[0041] The first reflected signal amplitude A measIt is the amplitude of the signal directly reflected from the surface of the underwater steel structure received by the ultrasonic probe. In ultrasonic testing, the probe transmits sound waves, which are reflected when they encounter the surface of the structure. The intensity of the reflected sound wave signal (i.e., amplitude) received by the probe reflects the interaction between the sound wave and the material surface. However, the amplitude of the first reflected signal A directly measured meas It will be affected by the attenuation of the surface material, resulting in a decrease in signal strength, thus affecting the accuracy of thickness detection.

[0042] Surface correction factor C surf It is a value between 0 and 1, which is used to quantify the influence of the surface material of underwater steel structure on the attenuation of ultrasonic signal. surf A value close to 1 indicates that the surface material has a small attenuation effect on the ultrasonic signal; and a smaller C surf A value close to 0 indicates that the surface condition has caused significant attenuation of the ultrasonic signal, and correction is needed to restore the true intensity of the ultrasonic signal.

[0043] The first reflected signal amplitude A meas and surface correction factor C surf Multiplying by, we can get the corrected second reflected signal amplitude A corr This calculation process is essentially to adjust the amplitude of the first reflected signal to compensate for the signal attenuation caused by the surface state. surf The value of is close to 1, then A corr and A meas The difference will be small, indicating that no excessive correction is needed; but if C surf The value of is small, then A corr Relative to A meas There will be a significant improvement to restore the true strength of the ultrasonic signal. Through the above correction process, the signal attenuation caused by the surface state of the underwater steel structure can be effectively eliminated or reduced in ultrasonic testing, so that the amplitude of the second reflected signal A corr It more accurately represents the intrinsic interaction between ultrasound and structural materials without being disturbed by additional surface factors.

[0044] In an exemplary embodiment, before determining the thickness of the underwater steel structure based on the sound speed and the second reflected signal amplitude, the method further includes: determining an attenuation correction amount of the reflected signal received by the detection device based on the first reflected signal amplitude and the second reflected signal amplitude, wherein the attenuation correction amount is used to characterize the signal intensity deviation of the ultrasonic wave during the propagation process.

[0045] In an exemplary embodiment, determining the attenuation correction amount of the reflection signal received by the detection device according to the first reflection signal amplitude and the second reflection signal amplitude includes: determining the attenuation correction amount δ (A) according to the following formula corr ): Among them, A meas is the amplitude of the first reflected signal, A corr is the amplitude of the second reflected signal, and α is the attenuation coefficient of the ultrasonic wave.

[0046] In this embodiment The A part reflects the relative change of the ultrasonic signal amplitude, that is, the difference in signal strength before and after correction. Multiplying this part by the ultrasonic attenuation coefficient α, the attenuation correction amount related to the surface state and material properties can be obtained. meas and A corr When the difference between δ(A corr ) will also increase accordingly, indicating that a larger correction amount is required to restore the true strength of the signal.

[0047] In an exemplary embodiment, determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal includes: determining the thickness d of the underwater steel structure according to the following formula: final : Wherein, v is the speed of sound, T meas is the round trip propagation time of the ultrasonic wave, δ(A corr ) is the attenuation correction amount.

[0048] According to the principle of ultrasonic testing, the ultrasonic wave needs to reach the surface of the structure first and then be reflected back from the surface, so the round-trip propagation time of the ultrasonic wave is T meas After multiplying by the speed of sound v, it needs to be divided by 2 to get the one-way propagation distance. corr ) is subtracted from the above calculation because in ultrasonic testing, the attenuation of ultrasonic signal intensity will cause the calculated thickness d final Inaccurate, attenuation correction δ(A corr ) is used to compensate for this error so that the final calculated thickness d final Closer to the true value.

[0049] In order to better understand the process of the above-mentioned method for determining the thickness of the target object, the above-mentioned method for determining the thickness of the target object is described below in combination with an optional embodiment, but is not used to limit the technical solution of the embodiment of the present application.

[0050] Figure 3 is a schematic diagram of a method for determining the thickness of a target object according to an embodiment of the present application, such as Figure 3As shown, specifically including the following:

[0051] External calibration utilizes CTD sensors to monitor key underwater environmental parameters such as temperature, salinity, and depth in real time. Based on these parameters, the velocity of ultrasound waves in water is determined. The velocity of ultrasound waves is crucial for calculating the propagation time from emission to reception, and the accuracy of this propagation time is directly related to the precision of the measured thickness of underwater steel structures. Therefore, external calibration allows the testing equipment to dynamically adjust the preset ultrasonic propagation velocity value to more closely reflect actual conditions, ensuring more accurate propagation time measurements and enhancing the reliability of thickness measurements.

[0052] Internal correction focuses on the surface conditions of underwater steel structures, such as rust, sediments and coatings. These factors will lead to a decrease in signal strength during ultrasonic testing, that is, the attenuation of signal amplitude, and scattering of signal direction, which in turn affects the accuracy of the reflected signal and poses a challenge to the accuracy of thickness measurement of underwater steel structures. In order to solve this problem, internal correction uses a structural health monitoring system (SHM) to obtain real-time status information on the surface of the test object. The SHM system can identify and quantify the degree of surface rust, sediment thickness, and coating condition. By analyzing this information, the detection equipment can determine the surface correction coefficient of the underwater steel structure. Among them, the surface correction coefficient reflects the specific impact of the surface condition of the underwater steel structure on the amplitude of the ultrasonic signal.

[0053] The thickness of the underwater steel structure is determined according to the sound velocity obtained by external correction and the amplitude of the second reflected signal obtained by internal correction.

[0054] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0055] In this embodiment, a device for determining the thickness of a target object is also provided. The device is used to implement the above-mentioned embodiments and preferred embodiments, and the details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0056] Figure 4 : is a structural block diagram of a device for determining the thickness of a target object according to an embodiment of the present application, the device comprising:

[0057] A first determining module 40 is configured to determine the speed of sound in water of an ultrasonic wave emitted by a detection device according to environmental parameters in water, wherein the detection device is configured to detect the thickness of the underwater steel structure;

[0058] a correction module 42, configured to correct the first reflected signal amplitude measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the effect of the surface state of the underwater steel structure on the propagation of the ultrasonic wave;

[0059] The second determining module 44 is configured to determine the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

[0060] The above-mentioned device determines the speed of sound in water emitted by an ultrasonic wave from a detection device used to detect the thickness of an underwater steel structure based on environmental parameters in the water. The device then corrects the amplitude of a first reflected signal measured by the ultrasonic wave based on a surface correction factor of the underwater steel structure to obtain a second reflected signal amplitude. The surface correction factor quantifies the effect of the surface condition of the underwater steel structure on the propagation of the ultrasonic wave. The thickness of the underwater steel structure is then determined based on the speed of sound and the second reflected signal amplitude. This solves the problem in related technologies where the thickness of underwater steel structures is determined solely by a fixed speed of sound, resulting in inaccurate detection data.

[0061] In an exemplary embodiment, the first determining module 40 is further configured to determine the sound velocity v according to the following formula: v=1449.2+4.6T-0.055T 2 +0.00029T 3 +(1.34-0.01T)(S-35)+0.016D, wherein T is the water temperature, S is the salinity of the water, and D is the depth of the water. The environmental parameters include: the water temperature, the salinity, and the depth.

[0062] In an exemplary embodiment, the correction module 42 is further configured to determine the surface correction coefficient C according to the following formula: surf : Among them, C surf The value range of is [0, 1], β is used to characterize the attenuation degree of the surface material of the underwater steel structure to the ultrasonic wave during the propagation process, t surf is the thickness of the surface material of the underwater steel structure.

[0063] In an exemplary embodiment, the correction module 42 is further configured to determine the second reflected signal amplitude A according to the following formula: corr :A corr =A meas ·C surf , where A meas is the amplitude of the first reflected signal, C surf is the surface correction coefficient.

[0064] In an exemplary embodiment, the second determination module 44 is further used to determine the attenuation correction amount of the reflected signal received by the detection device based on the first reflected signal amplitude and the second reflected signal amplitude, wherein the attenuation correction amount is used to characterize the signal strength deviation of the ultrasonic wave during the propagation process.

[0065] In an exemplary embodiment, the second determining module 44 is further configured to determine the attenuation correction amount δ(A corr ): Among them, A meas is the amplitude of the first reflected signal, A corr is the amplitude of the second reflected signal, and α is the attenuation coefficient of the ultrasonic wave.

[0066] In an exemplary embodiment, the second determining module 44 is further configured to determine the thickness d of the underwater steel structure according to the following formula: final : Wherein, v is the speed of sound, T meas is the round trip propagation time of the ultrasonic wave, δ(A corr ) is the attenuation correction amount.

[0067] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored. The computer program is configured to execute the steps of any of the above method embodiments when run.

[0068] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0069] S1, determining the speed of sound in water of an ultrasonic wave emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of the underwater steel structure;

[0070] S2, correcting the amplitude of the first reflected signal measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave;

[0071] S3. Determine the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

[0072] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk.

[0073] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail here.

[0074] An embodiment of the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0075] Optionally, in this embodiment, the processor may be configured to execute the following steps through a computer program:

[0076] S1, determining the speed of sound in water of an ultrasonic wave emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of the underwater steel structure;

[0077] S2, correcting the amplitude of the first reflected signal measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave;

[0078] S3. Determine the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

[0079] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0080] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0081] Optionally, in this embodiment, the computer program may be configured to implement the following steps when executed by a processor:

[0082] S1, determining the speed of sound in water of an ultrasonic wave emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of the underwater steel structure;

[0083] S2, correcting the amplitude of the first reflected signal measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave;

[0084] S3. Determine the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

[0085] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail here.

[0086] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be implemented using a general-purpose computing device, they can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices, they can be implemented using program code executable by the computing device, and thus, they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be performed in a different order than herein, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0087] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the thickness of a target object, characterized in that: include: determining the speed of sound in water of ultrasonic waves emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of underwater steel structures; Correcting the first reflected signal amplitude measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave; determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal; Wherein, before correcting the amplitude of the first reflected signal measured by the ultrasonic wave according to the surface correction coefficient of the underwater steel structure to obtain the amplitude of the second reflected signal, the method further includes: The surface correction coefficient is determined according to the following formula : ,in, The value range of is [0, 1], It is used to characterize the attenuation degree of the ultrasonic wave during propagation by the surface material of the underwater steel structure. is the thickness of the surface material of the underwater steel structure; The first reflected signal amplitude measured by ultrasonic wave is corrected according to the surface correction coefficient of the underwater steel structure to obtain the second reflected signal amplitude, including: The amplitude of the second reflected signal is determined according to the following formula : ,in, is the first reflected signal amplitude, is the surface correction coefficient; Before determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal, the method further includes: Determine the attenuation correction amount according to the following formula : ,in, is the first reflected signal amplitude, is the second reflected signal amplitude, is the attenuation coefficient of the ultrasonic wave; Wherein, determining the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal includes: The thickness of the underwater steel structure is determined according to the following formula : , where v is the speed of sound, is the round trip propagation time of the ultrasonic wave, is the attenuation correction amount.

2. The method for determining the thickness of a target object according to claim 1, wherein: The speed of sound in water emitted by the ultrasonic wave of the detection equipment is determined according to the environmental parameters in the water, including: The sound velocity v is determined according to the following formula: ,in, For water temperature, is the salinity of water, is the depth of water, and the environmental parameters include: the water temperature, the salinity, and the depth.

3. A device for determining the thickness of a target object, characterized in that: The method according to any one of claims 1 to 2, comprising: a first determining module, configured to determine the speed of sound in water of an ultrasonic wave emitted by a detection device according to environmental parameters in water, wherein the detection device is used to detect the thickness of the underwater steel structure; a correction module, configured to correct the amplitude of the first reflected signal measured by the ultrasonic wave according to a surface correction coefficient of the underwater steel structure to obtain a second reflected signal amplitude, wherein the surface correction coefficient is used to quantify the influence of the surface state of the underwater steel structure on the propagation of the ultrasonic wave; The second determining module is configured to determine the thickness of the underwater steel structure according to the sound velocity and the amplitude of the second reflected signal.

4. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 2 when executed.

5. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

Images