Real-time monitoring method and device for internal defects of nonmetal

Abstract

The embodiment of the invention relates to the technical field of Internet of Things monitoring and microwaves, and provides a real-time monitoring method and device for nonmetal internal defects, and the method comprises the steps: fixing an object to be detected on a support, placing a probe on an automatic mobile platform below the object to be detected, and adjusting the posture of the object to be detected to enable the object to be detected to be parallel to the probe; controlling the probe to move through an automatic platform, recording reflection parameter information after moving unit step length, and continuously repeating until the to-be-detected object moves out of a probe area; defining the absolute value of the reflection coefficient difference value to locate the defect, subtracting the amplitude of the reflection coefficient resonant frequency at the initial position from the amplitude of the reflection coefficient resonant frequency corresponding to each position, and then taking the absolute value; the collected data are processed in real time through a program, and the result is accessed to the Internet of Things to realize real-time monitoring. According to the technical scheme, internal defects with the depth being within 5 mm and the defect radius being larger than 5 mm can be detected, and meanwhile, real-time monitoring is achieved in combination with the automatic moving platform.

Description

Technical Field

[0001] The present application relates to the fields of Internet of Things monitoring and microwave technology, and in particular to a real-time monitoring method and device for non-metallic internal defects. Background Art

[0002] The resonant structure has a high electric field strength and high sensitivity, but the electric field is concentrated on the probe surface and can only detect surface defects. Traditional waveguides or antennas have a certain penetration depth, but the electric field distribution is not concentrated enough and the sensitivity is low.

[0003] To this end, it is a technical problem that needs to be urgently solved by technical personnel in this field to invent a probe that can be used to detect non-metallic internal defects, design a device for real-time monitoring of non-metallic internal defects based on the probe and data acquisition and processing program, and at the same time a device that can monitor the integrity of an object in real time and has a large detection depth and high sensitivity. Summary of the invention

[0004] The purpose of the present invention is to provide a probe for detecting non-metallic internal defects, and to design a device for real-time monitoring of non-metallic internal defects based on the probe and the data acquisition processing program. The device can monitor the integrity of the object in real time and has a large detection depth and high sensitivity. To this end, the technical solution adopted in this application is as follows:

[0005] In a first aspect, an embodiment of the present application provides a real-time monitoring method for non-metallic internal defects, the method comprising:

[0006] Fix the object to be tested on the bracket, place the probe on the automated moving platform below the object to be tested, and adjust the posture of the object to be tested so that it remains parallel to the probe;

[0007] The probe movement is controlled by an automated platform, and the reflection parameter information after the unit step length is recorded, and the process is repeated until the object to be tested moves out of the probe area.

[0008] Define the absolute value ΔS of the reflection coefficient difference to locate the defect, subtract the amplitude of the reflection coefficient resonance frequency corresponding to each position from the amplitude of the reflection coefficient resonance frequency at the initial position, and then take the absolute value to obtain ΔS;

[0009] The collected data is processed in real time through the program, and the results are connected to the Internet of Things to achieve real-time monitoring.

[0010] Furthermore, the unit step length of the probe movement is 1 mm.

[0011] Furthermore, the calculation formula of the absolute value ΔS of the reflection coefficient difference is ΔS=|S i -S0|, where S iis the resonant frequency amplitude of the reflection coefficient at the current position, and S0 is the resonant frequency amplitude of the reflection coefficient at the initial position.

[0012] Furthermore, the probe is a microwave probe, and the reflection parameter information is reflection parameter information of microwaves.

[0013] Furthermore, the automated mobile platform includes X-axis and Y-axis moving structures, and the probe moves along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

[0014] In a second aspect, the present invention provides a real-time monitoring device for non-metallic internal defects, the device comprising: a detection probe, an object to be detected, an automated mobile platform, and a signal receiving and processing device, wherein:

[0015] A detection probe for transmitting and receiving electromagnetic waves;

[0016] The object to be tested has a defect inside, the depth of the defect is zd, the thickness is hd, and the radius is rd;

[0017] An automated mobile platform for supporting and moving the detection probe;

[0018] The signal receiving and processing device is used to receive and process the signal received from the detection probe to determine the location and size of the internal defects of the object to be tested.

[0019] Furthermore, the detection probe includes a Bessel beam and a Gaussian beam, and the Gaussian beam is used to modulate the Bessel beam to reduce side lobes.

[0020] Furthermore, the automated mobile platform controls the detection probe to move along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

[0021] Furthermore, the signal receiving and processing device includes a vector network analyzer, which is used to process the detection data in real time and access the Internet of Things to achieve real-time monitoring.

[0022] Furthermore, the moving unit step length of the detection probe is 1 mm to improve the detection accuracy.

[0023] The real-time monitoring scheme for non-metallic internal defects disclosed in the present application is to fix the object to be tested on a bracket, place the probe on an automated mobile platform below the object to be tested, adjust the posture of the object to be tested so that it remains parallel to the probe; control the movement of the probe through the automated platform, record the reflection parameter information after the unit step length of the movement, and repeat until the object to be tested moves out of the probe area; define the absolute value ΔS of the reflection coefficient difference to locate the defect, subtract the amplitude of the reflection coefficient resonant frequency corresponding to each position from the amplitude of the reflection coefficient resonant frequency at the initial position, and then take the absolute value to obtain ΔS; process the collected data in real time through a program, and connect the results to the Internet of Things to achieve real-time monitoring. It is possible to detect internal defects with a depth of less than 5mm and a defect radius greater than 5mm, and at the same time, combine with a two-dimensional automated mobile platform to achieve real-time monitoring, and the probe has a long electric field radiation distance, high intensity, and a large detection depth, while the side lobes are low, reducing interference from other factors and having high sensitivity. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in describing the embodiments of the present application are briefly introduced below.

[0025] Figure 1 A schematic diagram of a probe structure of a real-time monitoring method for non-metallic internal defects provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of an excitation electric field of a real-time monitoring method for non-metallic internal defects provided in an embodiment of the present application;

[0027] Figure 3 A schematic flow chart of a real-time monitoring method for non-metallic internal defects provided in an embodiment of the present application;

[0028] Figure 4 A schematic structural diagram of a real-time monitoring device for non-metallic internal defects provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present application.

[0030] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0031] Defect detection of non-metallic materials is very important for the non-metallic processing industry. The discovery of the resonant structure electric field has brought a qualitative leap in non-metallic defect detection. The electric field strength of the resonant structure is usually very high and has high sensitivity, but the electric field is concentrated on the surface of the probe and can only detect surface defects. Traditional waveguides or antennas have a certain penetration depth, but the electric field distribution is not concentrated enough and the sensitivity is low.

[0032] To this end, the embodiments of this specification invent a probe for detecting non-metallic internal defects, and design a device for real-time monitoring of non-metallic internal defects based on the probe and data acquisition and processing program. The device can also monitor the integrity of the object in real time and has a large detection depth and high sensitivity.

[0033] In order to make the purpose, technical solution and advantages of this application clearer, the application scenarios of this solution are introduced below.

[0034] During the manufacturing and long-term use of non-metallic composite materials, due to the influence of processing technology, fatigue accumulation and impact, defects such as voids and delamination are easily generated inside the material. Defects that cannot be directly observed will affect the performance and strength of the composite material and form safety hazards. The existing technology has low depth and sensitivity in detecting internal defects. This device increases the detection depth and improves the sensitivity. Connecting to the Internet of Things can perform real-time monitoring during the processing and use of materials.

[0035] At the same time, the detection probe of the present application is also particularly critical for the implementation of the technical solution. The design of the detection probe in the present application is described in detail below.

[0036] After research, it was found that the detection depth depends on the intensity and distance of the exciting electric field radiation. The greater the intensity and distance, the greater the detection depth. The factors affecting the sensitivity are mainly the main lobe width of the radiated electric field and the intensity of the side lobe level. Therefore, the detection depth and sensitivity can be improved by reducing the main lobe width and lowering the side lobe. Because the main lobe width of the Bessel beam is small, we choose it as the basic beam, but its high side lobe will affect the detection sensitivity. In order to reduce the side lobe, Gaussian beam modulation Bessel beam is used, because the radial attenuation factor of the Gaussian beam suppresses the side lobe. The final probe structure is as follows: Figure 1 The electric field is shown as Figure 2 shown.

[0037] The specific implementation methods of the present application will be further described in detail in conjunction with the accompanying drawings.

[0038] The core of the present invention is to provide a real-time monitoring method for non-metallic internal defects. Figure 3 The figure is a flow chart of the real-time monitoring method for non-metallic internal defects provided by this embodiment. In order to better understand the method, Figure 3 The technical solution of this embodiment is described in detail:

[0039] Step S101, fix the object to be tested on a bracket, place the probe on an automated moving platform below the object to be tested, and adjust the posture of the object to be tested so that it remains parallel to the probe;

[0040] Step S102, controlling the movement of the probe through the automated platform, recording the reflection parameter information after the unit step length of the movement, and repeating the process until the object to be tested moves out of the probe area;

[0041] Step S103, defining the absolute value ΔS of the reflection coefficient difference to locate the defect, subtracting the amplitude of the reflection coefficient resonance frequency corresponding to each position from the amplitude of the reflection coefficient resonance frequency at the initial position, and then taking the absolute value to obtain ΔS;

[0042] Step S104: Process the collected data in real time through a program, and connect the results to the Internet of Things to achieve real-time monitoring.

[0043] As a preferred embodiment of this embodiment, the unit step length of the probe movement is 1 mm.

[0044] As a preferred embodiment of the present invention, the calculation formula of the absolute value ΔS of the reflection coefficient difference is ΔS=|S i -S0|, where S i is the reflection coefficient resonant frequency amplitude at the current position, and S0 is the reflection coefficient resonant frequency amplitude at the initial position.

[0045] As a preferred embodiment of this embodiment, the probe is a microwave probe, and the reflection parameter information is the reflection parameter information of microwaves.

[0046] As a preferred mode of this embodiment, the automated mobile platform includes X-axis and Y-axis moving mechanisms, and the probe moves along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

[0047] Taking detection activities as an example, the following introduces the specific implementation process of detecting and real-time monitoring non-metallic internal defects using the real-time monitoring method for non-metallic internal defects described in the embodiment of the present application.

[0048] 1) Fix the object to be tested on the bracket, place the probe on the automated mobile platform below the object to be tested, and adjust the posture of the object to be tested so that it remains parallel to the probe. Control the movement of the probe through the automated platform, record the reflection parameter information after the unit step length of the movement, and repeat until the object to be tested moves out of the probe area;

[0049] 2) In order to facilitate defect detection, the collected data needs to be processed. Define the absolute value of the reflection coefficient difference ΔS to locate the defect. Subtract the amplitude of the reflection coefficient resonant frequency corresponding to each position from the amplitude of the reflection coefficient resonant frequency at the initial position, and then take the absolute value to get ΔS. The formula is as follows:

[0050] ΔS=||S 11 | x -|S 11 |0|

[0051] 3) Here we simulate a cylindrical defect, and the simulation results are as follows Figure 4 As shown, from Figure 4 It can be seen that when there is no defect in the object to be tested, as the probe and the object to be tested move relative to each other, ΔS fluctuates around 0dB and does not change significantly. When there is a defect in the object to be tested, as the relative position moves, the main lobe first passes through the defect-free area, and ΔS in this area basically does not change. When the main lobe passes through the defective area, ΔS increases and reaches the maximum value at the center of the defect, which means that there is a defect here. Therefore, the collected data can be processed in real time through the program, and the results can be connected to the Internet of Things to achieve the purpose of real-time monitoring.

[0052] In the embodiment of the present application, the object to be tested is fixed on a bracket, the probe is placed on an automated mobile platform below the object to be tested, and the posture of the object to be tested is adjusted to keep it parallel to the probe; the probe movement is controlled by the automated platform, and the reflection parameter information after the unit step length is moved is recorded, and it is repeated until the object to be tested moves out of the probe area; the absolute value ΔS of the reflection coefficient difference is defined to locate the defect, and the amplitude of the reflection coefficient resonant frequency corresponding to each position is subtracted from the amplitude of the reflection coefficient resonant frequency at the initial position, and then the absolute value is taken to obtain ΔS; the collected data is processed in real time through a program, and the results are connected to the Internet of Things to realize real-time monitoring. It is possible to detect internal defects with a depth of less than 5mm and a defect radius greater than 5mm, and at the same time, combined with a two-dimensional automated mobile platform, real-time monitoring is realized, and the probe electric field radiation distance is long, the intensity is high, the detection depth is large, and the side lobe is low, which reduces the interference of other factors and has high sensitivity.

[0053] based on Figure 3 The embodiment shown provides a real-time monitoring method for non-metallic internal defects. Figure 4A real-time monitoring device for non-metallic internal defects provided by an embodiment of the present application is shown. Figure 4 As shown, the device can mainly include: a detection probe, an object to be detected, an automated mobile platform, and a signal receiving and processing device, wherein:

[0054] A detection probe for transmitting and receiving electromagnetic waves;

[0055] The object to be tested has a defect inside, the depth of the defect is zd, the thickness is hd, and the radius is rd;

[0056] An automated mobile platform for supporting and moving the detection probe;

[0057] The signal receiving and processing device is used to receive and process the signal received from the detection probe to determine the location and size of the internal defects of the object to be tested.

[0058] As a preferred embodiment of this embodiment, the automated mobile platform controls the detection probe to move along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

[0059] As a preferred embodiment of this embodiment, the signal receiving and processing device includes a vector network analyzer, which is used to process the detection data in real time and access the Internet of Things to achieve real-time monitoring.

[0060] As a preferred embodiment of this embodiment, the moving unit step length of the detection probe is 1 mm to improve the detection accuracy.

[0061] In the embodiment of the present application, the object to be tested is fixed on a bracket, the probe is placed on an automated mobile platform below the object to be tested, and the posture of the object to be tested is adjusted to keep it parallel to the probe; the probe movement is controlled by the automated platform, and the reflection parameter information after the unit step length is moved is recorded, and it is repeated until the object to be tested moves out of the probe area; the absolute value ΔS of the reflection coefficient difference is defined to locate the defect, and the amplitude of the reflection coefficient resonant frequency corresponding to each position is subtracted from the amplitude of the reflection coefficient resonant frequency at the initial position, and then the absolute value is taken to obtain ΔS; the collected data is processed in real time through a program, and the results are connected to the Internet of Things to realize real-time monitoring. It is possible to detect internal defects with a depth of less than 5mm and a defect radius greater than 5mm, and at the same time, combined with a two-dimensional automated mobile platform, real-time monitoring is realized, and the probe electric field radiation distance is long, the intensity is high, the detection depth is large, and the side lobe is low, which reduces the interference of other factors and has high sensitivity.

[0062] It can be understood that the above modules of the real-time monitoring device for non-metallic internal defects in this embodiment have the function of realizing Figure 3The functions of the corresponding steps of the method in the embodiment shown in . The function can be implemented by hardware, or by hardware executing the corresponding software. The hardware or software includes one or more modules corresponding to the above functions. The above modules can be software and / or hardware, and the above modules can be implemented separately or integrated with multiple modules. For the functional description of the above modules, please refer to Figure 3 The corresponding description of the method in the embodiment shown in will not be repeated here.

[0063] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0064] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0065] In several embodiments covered by the present application, it should be understood that the disclosed devices, equipment and methods can be implemented in other ways. For example, the division of modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, or it can be an electrical, mechanical or other form of connection.

[0066] The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0067] In addition, each functional module in each embodiment of the present application can be implemented in the form of hardware or in the form of software functional modules. If these functional modules are implemented in the form of software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or part of the prior art that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a computer program product, which includes one or more computer instructions. When loading and executing computer program instructions on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer program product is stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)).

[0068] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A real-time monitoring method for non-metallic internal defects, characterized in that: The following steps are involved: Fix the object to be tested on the bracket, place the probe on the automated moving platform below the object to be tested, and adjust the posture of the object to be tested so that it remains parallel to the probe; The probe movement is controlled by an automated platform, and the reflection parameter information after the unit step length is recorded, and the process is repeated until the object to be tested moves out of the probe area. Define the absolute value ΔS of the reflection coefficient difference to locate the defect, subtract the amplitude of the reflection coefficient resonance frequency corresponding to each position from the amplitude of the reflection coefficient resonance frequency at the initial position, and then take the absolute value to obtain ΔS; The collected data is processed in real time through the program, and the results are connected to the Internet of Things to achieve real-time monitoring.

2. The real-time monitoring method for non-metallic internal defects according to claim 1 is characterized in that: The unit step length of the probe movement is 1 mm.

3. The real-time monitoring method for non-metallic internal defects according to claim 1 is characterized in that: The calculation formula of the absolute value ΔS of the reflection coefficient difference is ΔS=|S i -S0|, where S i is the resonant frequency amplitude of the reflection coefficient at the current position, and S0 is the resonant frequency amplitude of the reflection coefficient at the initial position.

4. The real-time monitoring method for non-metallic internal defects according to claim 1 is characterized in that: The probe is a microwave probe, and the reflection parameter information is the reflection parameter information of microwaves.

5. The real-time monitoring method for non-metallic internal defects according to claim 1 is characterized in that: The automated mobile platform includes X-axis and Y-axis moving mechanisms, and the probe moves along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

6. A real-time monitoring device for non-metallic internal defects, characterized in that: The device comprises: a detection probe, an object to be detected, an automated mobile platform, and a signal receiving and processing device, wherein: A detection probe for transmitting and receiving electromagnetic waves; The object to be tested has a defect inside, the depth of the defect is zd, the thickness is hd, and the radius is rd; An automated mobile platform for supporting and moving the detection probe; The signal receiving and processing device is used to receive and process the signal received from the detection probe to determine the location and size of the internal defects of the object to be tested.

7. The real-time monitoring device for non-metallic internal defects according to claim 6 is characterized in that: The detection probe comprises a Bessel beam and a Gaussian beam, and the Gaussian beam is used to modulate the Bessel beam to reduce side lobes.

8. The real-time monitoring device for non-metallic internal defects according to claim 6 is characterized in that: The automated mobile platform controls the detection probe to move along the X-axis and Y-axis directions to cover the entire detection area of ​​the object to be detected.

9. The real-time monitoring device for non-metallic internal defects according to claim 6, characterized in that: The signal receiving and processing device includes a vector network analyzer, which is used to process detection data in real time and access the Internet of Things to achieve real-time monitoring.

10. The real-time monitoring device for non-metallic internal defects according to claim 6, characterized in that: The moving unit step length of the detection probe is 1 mm to improve the detection accuracy.

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