Nonmetallic material morphology microwave collaborative detection method, equipment, medium and product

Abstract

The invention discloses a non-metallic material morphology microwave collaborative detection method and device, a medium and a product, and relates to the technical field of pipeline welding quality detection.The method comprises the steps that morphology collection data and microwave detection data of a detected test piece and the temperature of the detected test piece or the environment temperature are obtained; determining complex dielectric parameter characterization data of the detected test piece according to the morphology acquisition data and the microwave detection data; wherein the influence of the morphology on the microwave detection data is considered, the microwave detection data is compensated by using the morphology data, and the complex dielectric parameter characterization data is used as a microwave detection result; the measurement result is corrected according to the collected temperature of the test piece or the environment temperature, or different microwave detection result criteria are selected according to the temperature value. According to the method, the shape acquisition data of the detected test piece is utilized to compensate the microwave detection data, the test piece temperature or the environment temperature is utilized to further correct the detection result or the criterion of the detection result, and the precision of non-metallic material welding quality detection evaluation is improved.

Description

Technical Field

[0001] This application relates to the technical field of pipeline welding quality inspection, and particularly to a method, device, medium and product for collaborative detection of non-metallic material morphology and microwave. Background Art

[0002] Due to its excellent characteristics such as corrosion resistance, good flexibility and high construction efficiency, polyethylene pipes have been widely used in fields such as water pipes and gas pipes, which are directly related to people's life and property safety. Therefore, the safety of polyethylene pipes is of crucial importance. An important factor affecting the safety of polyethylene pipes is the quality of hot melt welding. Defects that may occur during the hot melt welding process include overwelding, cold welding, unremoved oxide scale, misalignment of resistance wires or holes, etc. These defects will seriously affect the strength and sealing performance of the welded joint, thus affecting the safety of the entire pipeline system.

[0003] In order to ensure the welding quality of polyethylene pipes, currently, traditional non-destructive testing methods mainly include acoustic testing, magnetic particle testing, penetrant testing, radiographic testing and eddy current testing, etc. Although the above-mentioned testing methods can identify welding defects to a certain extent, they have certain limitations in detecting microscopic defects. For example, microscopic defects such as cold welding or overwelding may not be detected through visual inspection. In addition, due to the special nature of polyethylene materials, traditional non-destructive testing techniques such as radiographic testing and ultrasonic testing are limited in the detection of polyethylene pipes. Therefore, it is more appropriate to adopt microwave testing technology that can better detect microscopic defects. However, when using the microwave testing method, the external morphology of the object to be measured is likely to affect the results of microwave testing. That is, since signals such as reflection, S11, and S21 of microwave testing reflect the change of the complex dielectric constant of the measured material, but the object to be measured is usually in the near field of microwave radiation, different lift-off heights will also affect the signals, thus affecting the accuracy of microwave testing results. Summary of the Invention

[0004] The purpose of this application is to provide a method, device, medium and product for collaborative detection of non-metallic material morphology and microwave, which can improve the detection accuracy of the welding quality of non-metallic materials.

[0005] To achieve the above purpose, this application provides the following solutions:

[0006] In the first aspect, this application provides a method for collaborative detection of non-metallic material morphology and microwave, and the method for collaborative detection of non-metallic material morphology and microwave is applied to a collaborative detection device provided with a morphology scanning device and a microwave scanning device;

[0007] The morphology scanning device is used to obtain the morphology acquisition data of the test piece to be detected;

[0008] The microwave scanning device is used to obtain microwave detection data of the test piece to be detected;

[0009] The method for microwave collaborative detection of the morphology of non-metallic materials includes:

[0010] Obtain the morphology acquisition data and microwave detection data of the test piece to be detected;

[0011] According to the morphology acquisition data and the microwave detection data, determine the complex permittivity parameter characterization data of the test piece to be detected;

[0012] Use the complex permittivity parameter characterization data to compensate the microwave detection data to obtain a microwave detection result.

[0013] Optionally, before obtaining the morphology acquisition data and microwave detection data of the test piece to be detected, it further includes:

[0014] Align the morphology scanning device and the microwave scanning device.

[0015] Optionally, after using the complex permittivity parameter characterization data to compensate the microwave detection data to obtain a microwave detection result, it further includes:

[0016] Obtain temperature data; the temperature data is the temperature of the test piece to be detected or the ambient temperature;

[0017] Correct the microwave detection result according to the temperature data.

[0018] Optionally, the alignment process is a first alignment method or a second alignment method.

[0019] Optionally, the first alignment method is: the probe detection positions of the morphology scanning device and the microwave scanning device coincide.

[0020] Optionally, the second alignment method is: during the detection process, the relative detection positions of the probes of the morphology scanning device and the microwave scanning device remain unchanged.

[0021] Optionally, after using the complex permittivity parameter characterization data to compensate the microwave detection data to obtain a microwave detection result, it further includes:

[0022] Discriminate the quality of the test piece to be detected according to the microwave detection result and the morphology acquisition data.

[0023] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the above-mentioned method for microwave collaborative detection of the morphology of non-metallic materials.

[0024] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned microwave collaborative detection method for the morphology of non-metallic materials is implemented.

[0025] In a fourth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, the above-mentioned microwave collaborative detection method for the morphology of non-metallic materials is implemented.

[0026] According to the specific embodiments provided by the present application, the following technical effects are disclosed in the present application:

[0027] The present application provides a microwave collaborative detection method, device, medium and product for the morphology of non-metallic materials. The morphology line scanning device and the microwave detection probe are fixed together, so that the position of the object to be measured aimed at by the morphology scanning device is the same as the detection position of the microwave probe, or the relative positions of the positions aimed at by the morphology scanning device and the microwave probe on the test piece to be detected are fixed; the object to be measured is scanned and detected by using a scanning device or manual scanning; the collected morphology acquisition data and microwave detection data are aligned; the microwave detection result and the morphology data are used as inputs to calculate the characterization data of the complex dielectric parameters of the object to be measured, and the influence of the lift-off distance of the microwave probe from the surface of the material to be measured on the microwave signal is compensated; the quality of the test piece to be detected is judged jointly by the microwave detection result and the morphology data. Especially in the detection of the hot-melt joint of polyethylene pipes, the external turning shape and the microwave result can be used as evaluation indexes for the welding quality. The detection system needs to be equipped with a morphology profile scanner and a microwave detection probe at the same time, combining microwaves and morphology, and realizing the measurement of the dielectric properties and morphology of the object to be measured at the same time; the external morphology of the workpiece to be measured is measured by morphology scanning and used to compensate the microwave detection signal, so as to reduce or avoid the influence of the external morphology of the workpiece on the microwave detection result; in order to better realize the compensation of the distance from the probe to the object to be measured, the microwave detection signal needs to be aligned with the external contour of the morphology scanning, that is, aligned in the two-dimensional scanning space. In order to improve the efficiency of the morphology profile scanning, linear morphology is used for scanning; in some detections, it is necessary to obtain the external morphology of the object to be measured at the same time as an important detection result. Therefore, the present invention can realize external contour detection and microwave detection at the same time, and can effectively improve the detection efficiency. For example, in the detection of the hot-melt joint of polyethylene pipes, the external morphology and the microwave detection result can be compared and used together as an evaluation index for the welding quality, further improving the accuracy of the welding quality detection; the microwave detection result will be basically not affected by the distance between the probe and the outer surface of the object to be measured, and better reflects the change of the complex dielectric constant of the material to be measured. Description of the Drawings

[0028] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 This is a flow chart of a method for microwave collaborative detection of non-metallic material morphology in one embodiment of the present application;

[0030] Figure 2 This is a schematic diagram of the principle of a microwave collaborative detection method for non-metallic material morphology in one embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] At present, non-metallic materials will produce defects due to various factors during their production, processing, and long-term service. Some defects are microscopic defects (such as cold welding and over-welding). Traditional conventional non-destructive testing methods such as acoustic testing, magnetic particle testing, penetration testing, X-ray testing, and eddy current testing cannot detect them well. In order to solve the problem of not being able to detect microscopic defects well, microwave detection technology is currently being studied and adopted. The essence of microwave detection is to determine the defect state of the object being tested by measuring the value of the complex dielectric constant or the change of the complex dielectric constant related signal. However, the object being tested is usually in the near field of microwave radiation, that is, different lift-off heights have the same effect on the signal, resulting in the detection signal of microwave detection technology being affected by the external morphology of the object being tested.

[0034] When conducting non-metallic material detection, microwave detection technology is adopted to measure the complex permittivity of the object to be measured or the related signals characterizing the complex permittivity for judging the performance, damage, defects, etc. of the material to be measured. Currently, the commonly used microwave detection measures signals such as microwave reflection, S11, S21, etc. to reflect the change of the complex permittivity of the object to be measured. However, the object to be measured is usually in the near field of microwave radiation, that is, different lift-off heights will also affect the signals. For example, when detecting the hot melt welded joint of a polyethylene pipeline, the irregular morphology on its outside will directly change the lift-off distance between the microwave detection probe and the object to be measured, thus affecting the result of microwave detection. Therefore, when adopting microwave detection technology to detect non-metallic materials, the external morphology of the object to be measured should be considered emphatically, and the microwave detection result should be compensated in combination with the external morphology data of the object to be measured to eliminate or reduce the error influence brought by the external morphology. In order to improve the accuracy of the microwave detection result in this application, while carrying out microwave detection, a morphology scanning method is used to scan the external morphology of the object to be measured, and the scanning result is used to process the microwave detection data. In an exemplary embodiment, a method for collaborative detection of non-metallic material morphology and microwave is provided. The collaborative detection of non-metallic material morphology and microwave is applied to a collaborative detection device provided with a morphology scanning device and a microwave scanning device. The morphology scanning device is used to obtain the morphology acquisition data of the test piece to be detected. The microwave scanning device is used to obtain the microwave detection data of the test piece to be detected.

[0035] As Figure 1 and Figure 2 shown, the method for collaborative detection of non-metallic material morphology and microwave includes:

[0036] Step 101: Obtain the morphology acquisition data and the microwave detection data of the test piece to be detected.

[0037] Step 102: Determine the characterization data of the complex permittivity parameter of the test piece to be detected according to the morphology acquisition data and the microwave detection data.

[0038] Step 103: Compensate the microwave detection data by using the characterization data of the complex permittivity parameter to obtain the microwave detection result.

[0039] After compensating the microwave detection data by using the characterization data of the complex permittivity parameter to obtain the microwave detection result, it further includes: obtaining temperature data; the temperature data is the temperature of the test piece to be detected or the ambient temperature; correcting the microwave detection result according to the temperature data or selecting different microwave detection result criteria according to the temperature value.

[0040] Before step 101, it further includes:

[0041] Step 104: Align the morphology scanning device and the microwave scanning device.

[0042] Alignment processing is the first alignment method or the second alignment method. The first alignment method is that the probe detection positions of the topography scanning device and the microwave scanning device coincide; that is, during the acquisition process, the contour scanning topography coincides with the microwave probe detection position. The second alignment method is that during the detection process, the relative detection positions of the probes of the topography scanning device and the microwave scanning device remain unchanged; that is, during the acquisition process, the contour scanning topography remains relatively fixed with respect to the microwave probe detection position.

[0043] After step 103, it further includes:

[0044] Step 105: Determine the quality of the test piece to be detected according to the microwave detection result and the topography acquisition data. The determination process is as follows: According to the microwave detection result and the topography acquisition data, calculate the microwave dielectric equivalent of the weld area, and use the average value, variance and other test data of this equivalent in the weld area to draw a clustering scatter plot as a comprehensive criterion in pairs, so as to classify each area of the clustering scatter plot. Prepare specimens with different welding qualities in advance, and then test the comprehensive determination indexes of specimens with different welding qualities, and form a criterion to determine the quality of the test piece to be detected. Through a large number of test data in advance, draw the clustering scatter plot area of the average value and variance detected by different welding qualities, and then see which area the detection result falls into, so as to judge the quality of the test piece to be detected.

[0045] This application aligns the topography result and the microwave result in space. The alignment method is divided into the same-position simultaneous measurement method and the relative-position fixed measurement method. The same-position simultaneous measurement method is to adjust the contour scanning topography and the microwave probe position during the acquisition process to ensure that the two-dimensional scanning spaces of the two coincide; the relative-position fixed measurement method is to ensure that the spatial positions of the two remain relatively fixed on the basis that both the contour topography and the microwave probe detection surface can cover the measured area during the acquisition process. After obtaining the detection result, through software processing, compensate for the spatial distance error between the contour topography and the microwave detection. In some detections, it is necessary to obtain the external topography of the object to be measured at the same time as an important detection result. For example, in the detection of the hot-melt joint of a polyethylene pipeline, the external topography and the microwave detection result can be compared and used together as an index for welding quality evaluation, further improving the accuracy of welding quality detection. Therefore, while the present invention provides more scientific and reliable detection results, it can also greatly improve the detection efficiency. In addition, the external topography measurement result can also be used alone for welding quality evaluation.

[0046] During the microwave detection process, a method of synchronously detecting the morphology and microwave is adopted to compensate the microwave detection results. The specific morphology detection is implemented by means of morphology scanning. On the one hand, the microwave detection results are compensated by combining the external morphology detection data to improve the accuracy of the microwave detection results. On the other hand, according to the current detection standard requirements for polyethylene pipes, the detection items include the external morphology. By using the detection method provided in this embodiment, the detection of the external morphology of the object to be detected can be completed simultaneously, greatly improving the detection efficiency.

[0047] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it realizes a method for collaborative detection of the morphology and microwave of non-metallic materials.

[0048] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which realizes the steps in the above method embodiments when executed by a processor.

[0049] In an exemplary embodiment, a computer program product is provided, including a computer program, which realizes the steps in the above method embodiments when executed by a processor.

[0050] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0051] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include Read-Only Memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0052] The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0053] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0054] In this article, specific examples are used to elaborate on the principles and implementation manners of this application. The descriptions of the above embodiments are only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for microwave-assisted detection of the morphology of a non-metallic material, characterized in that The microwave collaborative detection method for the morphology of non-metallic materials is applied to a collaborative detection device equipped with a morphology scanning device and a microwave scanning device; The morphology scanning device is used to obtain the morphology acquisition data of the test piece to be detected; The microwave scanning device is used to obtain the microwave detection data of the test piece to be detected; The microwave collaborative detection method for the morphology of non-metallic materials includes: Obtaining the morphology acquisition data and microwave detection data of the test piece to be detected; Determining the complex permittivity parameter characterization data of the test piece to be detected according to the morphology acquisition data and the microwave detection data; Compensating the microwave detection data by using the complex permittivity parameter characterization data to obtain the microwave detection result.

2. The microwave-assisted detection method for the morphology of non-metallic materials according to claim 1, wherein Before obtaining the morphology acquisition data and microwave detection data of the test piece to be detected, it further includes: Performing alignment processing on the morphology scanning device and the microwave scanning device.

3. The method for detecting the morphology of non-metallic materials by microwave collaboration according to claim 1, characterized in that, After compensating the microwave detection data by using the complex permittivity parameter characterization data to obtain the microwave detection result, it further includes: Obtaining temperature data; the temperature data is the temperature of the test piece to be detected or the ambient temperature; Correcting the microwave detection result according to the temperature data.

4. The method for microwave-assisted detection of the morphology of non-metallic materials according to claim 2, wherein The alignment processing is the first alignment method or the second alignment method.

5. The method for microwave-assisted detection of the morphology of non-metallic materials according to claim 4, wherein The first alignment method is: The probe detection positions of the morphology scanning device coincide with the probe detection positions of the microwave scanning device.

6. The method for microwave-assisted detection of the morphology of non-metallic materials according to claim 4, characterized in that, The second alignment method is: During the detection process, the relative detection positions of the probes of the morphology scanning device and the microwave scanning device remain unchanged.

7. The method for microwave-assisted detection of the morphology of non-metallic materials according to claim 4, wherein After compensating the microwave detection data by using the complex permittivity parameter characterization data to obtain the microwave detection result, it further includes: Judging the quality of the test piece to be detected according to the microwave detection result and the morphology acquisition data.

8. A computer device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the microwave collaborative detection method for the morphology of non-metallic materials according to any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the microwave collaborative detection method for the morphology of non-metallic materials according to any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the microwave collaborative detection method for the morphology of non-metallic materials according to any one of claims 1-7.

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