CN111275664A - Method, device and equipment for screening porosity test block and storage medium - Google Patents
Method, device and equipment for screening porosity test block and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for screening a porosity test block. The method comprises the following steps: acquiring a first target detection image of a first target detection area on a test panel, and calculating a gray average value of the first target detection image; determining a uniformity coefficient of the first target detection area according to the gray average value; and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block. According to the embodiment of the invention, the uniformity coefficient of the first target detection image on the test plate is calculated, and the first porosity test block is determined according to the standard of the uniformity coefficient, so that the problem of complex algorithm for calculating the porosity is solved, the workload in the screening process is reduced, and the production efficiency of the porosity test block is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of nondestructive testing of aviation composite material workpieces, in particular to a method, a device, equipment and a storage medium for screening a porosity test block.
Background
With the development of composite material manufacturing technology, the adoption of advanced composite materials in large-scale passenger planes is an important development trend in the field of aviation. The pores are inevitable defects in the manufacturing process of the carbon fiber composite material, and the mechanical properties of the composite material are very sensitive to the pores. In order to ensure the safety of the passenger plane, the porosity detection is an important branch in the field of nondestructive detection of the airplane, and the key technology for realizing the porosity detection is to screen a series of porosity test blocks on a manufactured test plate, wherein the porosity test blocks comprise a reference test block and a calibration test block. And through testing the reference test block, a porosity evaluation standard is provided for the composite material fittings produced in batches. Furthermore, by testing the calibration test block, performance evaluation can be performed on the reference test block.
In the process of manufacturing the porosity test block, a method of adjusting parameters such as temperature, pressure or curing time in a curing process is generally adopted to manufacture the porosity test block meeting the standard. It has also been proposed to screen porosity test blocks by using ultrasonic imaging detection technology, and the principle is to calculate the porosity of the porosity test block by using the attenuation effect of the pores in the porosity test block on the ultrasonic waves or the reflection effect of the ultrasonic waves on different media through the ultrasonic imaging result, and further obtain the evaluation result of the porosity test block.
Based on the prior technical scheme, the porosity test block is manufactured by controlling the process parameters, so that the realization difficulty is high, and the result error is also large. And if based on ultrasonic imaging detection technique, because the demand of porosity test block is great in daily production process, and the volume of porosity test block is also generally great, the porosity test block is evaluated by calculating the porosity, and the calculation process is complicated, thereby increasing the workload of screening and reducing the production efficiency of the porosity test block.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for screening a porosity test block, which are used for reducing the workload of a screening process and further improving the production efficiency of the porosity test block.
In a first aspect, an embodiment of the present invention provides a method for screening a porosity test block, where the method includes:
acquiring a first target detection image of a first target detection area on a test panel, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
In a second aspect, an embodiment of the present invention further provides a device for screening a porosity test block, where the device includes:
the first target detection image acquisition module is used for acquiring a first target detection image of a first target detection area on a test panel and calculating the gray average value of the first target detection image;
the uniformity coefficient determining module is used for determining the uniformity coefficient of the first target detection area according to the gray average value;
and the first porosity test block determining module is used for taking the first target detection area as a first porosity test block if the uniformity coefficient meets a preset standard.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any of the above-described methods of screening for porosity coupons.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method for screening a porosity test block according to any one of the above-mentioned aspects.
According to the embodiment of the invention, the uniformity coefficient of the first target detection image on the test plate is calculated, and the first porosity test block is determined according to the standard of the uniformity coefficient, so that the problem of complex algorithm for calculating the porosity is solved, the workload in the screening process is reduced, and the production efficiency of the porosity test block is improved.
Drawings
Fig. 1 is a flowchart of a method for screening a porosity test block according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for screening a porosity test block according to a second embodiment of the present invention.
Fig. 3 is a flowchart of a specific example of the method for screening a porosity test block according to the second embodiment of the present invention.
Fig. 4 is a schematic view of a screening apparatus for porosity test blocks provided in the third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for screening a porosity test block according to an embodiment of the present invention, where the embodiment is applicable to a case where a porosity test block is screened on a test plate, and the method can be performed by a device for screening a porosity test block, where the device can be implemented in a software and/or hardware manner. The method specifically comprises the following steps:
s110, a first target detection image of a first target detection area on the test panel is obtained, and the gray average value of the first target detection image is calculated.
Wherein, the test plate refers to a carrier for screening the porosity test block. If the porosity test block is directly manufactured according to the process, the porosity test block is easy to have process defects and can not meet the standard of actual production due to the existence of factors such as imperfect process principle and theory, randomness of manual operation and the like in the manufacturing process. Therefore, it is necessary to first manufacture a test plate according to the process and screen the test plate for a porosity test piece meeting the standard.
In one embodiment, optionally, a first target detection image of the first target detection area is acquired according to at least one first target detection area input by a user. The user can select a first target detection area meeting the first porosity test block size specification on the test board according to actual production requirements.
In one embodiment, a digital radiography detection technique is used to obtain a reference detection image of a test panel; a first target detection image of the first target detection area is determined based on the reference detection image.
In one embodiment, the technical method of acquiring the reference inspection image of the test panel further comprises at least one of an ultrasonic inspection technique, a magnetic particle inspection technique, an eddy current inspection technique, a penetration inspection technique, an infrared thermal wave imaging technique, an acoustic-ultrasonic inspection technique, and an acoustic emission inspection technique. The digital radiographic imaging detection technology has the advantages of high imaging speed, high imaging quality, high precision and capability of screening the porosity test block more quickly and better.
The digital radiography detection technology is based on the principle that a composite material is irradiated by X-rays, and an image of the X-rays after passing through the composite material is generated according to at least one X-ray characteristic. Exemplary X-ray properties include, but are not limited to, penetration, absorption, reflection, and scattering properties, among others. The reference detection image of the test panel may be an image of the entire area on the test panel, or may be an image of a partial area on the test panel.
In one embodiment, optionally, determining the first object detection image of the first object detection region based on the reference detection image comprises: and identifying the reference detection image according to the size specification of the first porosity test block to obtain at least one first target detection image corresponding to at least one first target detection area. The first porosity test block size specification includes, but is not limited to, at least one specification selected from a sphere, a cylinder, a square column and an irregular body, and the preset size specification is not limited herein and may be set according to actual production requirements. It should be noted that the first target detection regions may partially overlap with each other, or certainly, may not overlap with each other at all. In one embodiment, the first target detection areas are partially overlapped, which has the advantage of maximizing the screening of the test plate and saving materials. The overlapping ratio may be 50% or 20%, and the overlapping ratio of the first target detection regions is not limited herein.
In one embodiment, optionally, the type of the first target detection image includes a color image or a grayscale image. In one embodiment, when the type of the first target detection image is a color image, the first target detection image is converted into a grayscale image, and a grayscale average value of the first target detection image is calculated.
The gray image is an image in which each pixel in the image has only one sampling color, and is usually displayed as a gray from darkest black to brightest white. The logarithmic relationship between white and black is divided into several levels, called "gray levels", which typically range from 0 to 255, with white being 255 and black being 0. In one embodiment, optionally, the gray values of all the pixel points in the first target detection image are added to obtain a gray accumulated value; counting the number of pixel points in the first target detection image; and dividing the accumulated gray value by the number of the pixel points to calculate the gray average value of the first target detection image. Specifically, the average value of the gray levels of the first target detection area is calculated based on the following formula:
wherein,
as mean value of gray scale, N tableIndicating the number of pixel points, xiAnd expressing the gray value of the ith pixel point in the first target detection image.
And S120, determining a uniformity coefficient of the first target detection area according to the gray average value.
In one embodiment, optionally, the gray standard deviation of the first target detection area is calculated according to the gray average value; the uniformity coefficient of the first target detection area is calculated based on the following formula:
wherein B is a uniformity coefficient, σ is a gray scale standard deviation,
is a gray scale average.
In an embodiment, optionally, the gray standard deviation of the first target detection area is calculated according to the gray average value, the gray value of each pixel point in the first target detection image, and the number of the pixel points. Specifically, the gray scale standard deviation of the first target detection area is calculated based on the following manner:
s130, if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
Wherein the predetermined criterion comprises a predetermined uniformity coefficient threshold. In one embodiment, optionally, if the uniformity coefficient is greater than the preset uniformity coefficient threshold, the first target detection area is used as the first porosity test block. For example, the preset uniformity coefficient threshold may be 80% or 90%, and the setting of the preset uniformity coefficient threshold is not limited herein.
Wherein the first porosity test block comprises a reference test block or a calibration test block. The reference test block is a test block providing a porosity evaluation standard for the batch-produced composite material fittings, and exemplarily, the porosity evaluation standard includes a porosity attenuation curve, a horizontal axis of the curve is porosity, and a vertical axis of the curve is attenuation. The calibration test block is a test block for performance evaluation of the reference test block. Specifically, a porosity evaluation standard can be established for a reference test block by testing a calibration test block. The reference block and the calibration block may have the same or different sizes. Illustratively, the size of the reference block is larger than the size of the calibration block.
According to the technical scheme, the uniformity coefficient is calculated through the first target detection image on the test plate, the first porosity test block is determined according to the standard of the uniformity coefficient, the problem that an algorithm for calculating the porosity is complex is solved, the workload of a screening process is reduced, and the production efficiency of the porosity test block is improved.
On the basis of the above technical solution, optionally, the method further includes: acquiring a second target detection image of a second target detection area on the test panel, and calculating the gray average value of the second target detection image; determining a uniformity coefficient of the second target detection area according to the gray level average value; and if the uniformity coefficient of the second target detection area is the same as that of the first target detection area, taking the second target detection area as a second porosity test block.
The first target detection area and the second target detection area are both in the range of the test board area corresponding to the reference detection image, and the first target detection area and the second target detection area are different. The uniformity coefficient of the second target detection area is the same as the uniformity coefficient of the first target detection area, and the average gray level of the first target detection area is the same as the average gray level of the second target detection area, and the standard gray level difference of the first target detection area is the same as the standard gray level difference of the second target detection area.
In one embodiment, optionally, if the first porosity test block is a reference test block, the second porosity test block is a calibration test block; and if the second porosity test block is the calibration test block, the first porosity test block is the comparison test block.
The uniformity coefficient is used as the screening condition of the reference test block or the standard test block, so that the screening method has the advantages of reducing the workload of screening the porosity test block and further improving the production efficiency of the porosity test block.
Example two
Fig. 2 is a flowchart of a method for screening a porosity test block according to a second embodiment of the present invention, and the technical solution of the present embodiment is further detailed based on the above-mentioned second embodiment. Optionally, the obtaining a reference detection image of the test panel by using a digital radiography detection technique includes: acquiring an initial detection image of a test plate, and determining an unmarked area of the test plate according to the initial detection image; and acquiring a reference detection image of the unmarked area of the test plate by adopting a digital ray imaging detection technology.
The specific implementation steps of the embodiment of the invention comprise:
s210, acquiring an initial detection image of the test plate, and determining an unmarked area of the test plate according to the initial detection image.
In one embodiment, the technical method for obtaining the initial inspection image of the test panel optionally includes, but is not limited to, at least one of an ultrasonic inspection technique, a magnetic particle inspection technique, a digital radiography inspection technique, an eddy current inspection technique, a penetration inspection technique, an infrared thermal wave imaging technique, an acousto-ultrasonic inspection technique, and an acoustic emission inspection technique. The ultrasonic detection technology comprises an ultrasonic wave penetration technology and an ultrasonic pulse reflection technology.
In one embodiment, an initial inspection image of the test panel is acquired using an ultrasonic penetration technique. Specifically, the ultrasonic transmission technology utilizes the transmission characteristics of ultrasonic waves, that is, one probe transmits the ultrasonic waves, the other probe receives the ultrasonic waves passing through the composite material on the other side of the composite material, and the defects of the composite material are judged according to the intensity of the received ultrasonic waves, wherein the intensity of the ultrasonic waves can be represented as gray scale characteristics in an image.
In one embodiment, an initial inspection image of the test panel is acquired using ultrasonic pulse reflection techniques. Specifically, the ultrasonic pulse reflection technology is to utilize the reflection characteristic of ultrasonic waves, that is, a probe transmits ultrasonic waves, and simultaneously the probe receives the ultrasonic waves reflected by the composite material, and determine the defects of the composite material according to the intensity of the received ultrasonic waves, wherein the intensity of the ultrasonic waves can be represented as a gray characteristic in an image.
After the test board is manufactured, the test board usually has process defects. Exemplary, types of defects that are present generally include delamination, inclusions, debonding, porosity, cracks, fiber breakage, fiber crimp, grease enrichment, poor gel, fiber volume percent excess, poor fiber/matrix interface bonding, ply or fiber orientation errors, missing plies, ply overlap, thickness deviation, abrasion, etc., where delamination, inclusion, debonding, porosity are the primary defects of the test panel. In particular, delamination defects refer to cracks between the plies in the composite laminate, primarily due to ply-to-ply debonding, characterized by thin large-area gaps. The inclusion defect refers to the existence of metallic or non-metallic inclusions such as particles, chips, films, barrier paper and the like except for the composition components in the composite material, and is mainly caused by impure raw materials or human negligence. The debonding defect refers to a defect formed by the bonding surface between two separate parts of the composite material not being bonded together. The loose defect means that a large number of holes and pores are densely distributed on the local position of the composite material, so that the composite material is in a honeycomb shape, and the strength and the performance of the material are severely reduced.
In one embodiment, optionally, the defect area is marked on the test panel based on the initial inspection image, and the marked area and the unmarked area on the test panel are determined. The defect region includes, but is not limited to, macroscopic defect regions such as a delamination region, a pore region, an inclusion region, a debonding region, and a porosity region.
S220, acquiring a reference detection image of the unmarked area of the test plate by adopting a digital ray imaging detection technology.
And S230, determining a first target detection image of the first target detection area according to the reference detection image, and calculating the gray average value of the first target detection image.
And S240, determining a uniformity coefficient of the first target detection area according to the gray average value.
And S250, if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
For example, fig. 3 is a flowchart of an embodiment of a method for screening a porosity test block according to the second embodiment of the present invention. Based on any test board, carrying out nondestructive testing on the test board by adopting an ultrasonic pulse reflection technology to obtain an initial detection image of the test board. And analyzing the initial detection image to judge whether the area of the macro defect exists on the test board. If a certain area belongs to the macro defect area, marking the area; if the test piece does not belong to the macroscopic defect area, marking is not performed, so that a marked area and an unmarked area are formed on the test piece respectively. And imaging the unmarked area on the test plate by adopting a digital ray imaging detection technology to obtain a reference detection image. And analyzing the reference detection image and selecting a target detection area. Specifically, the target detection area may be selected according to the size specification of the porosity test block. And calculating the uniformity coefficient of the target detection image of the target detection area, and judging whether the uniformity coefficient meets the standard. If the uniformity coefficient meets the standard, taking the target detection area as a porosity test block; if the uniformity coefficient does not meet the standard, another target detection area is reselected, and the step of calculating the uniformity coefficient is repeatedly executed until the target detection area with the uniformity coefficient meeting the standard is found. And if the uniformity coefficient of each target detection area of the unmarked area on the test plate does not meet the standard, replacing the test plate, and repeatedly executing the step of screening the porosity test block. It should be noted that, the porosity test block includes a calibration test block and a reference test block.
According to the technical scheme, the initial detection image of the test plate is obtained, the test plate is marked according to the initial detection image, imaging detection is carried out on an unmarked area on the test plate, the problem of large workload of screening of the porosity test plate is solved, and the production efficiency of the porosity test block is further improved.
EXAMPLE III
Fig. 4 is a schematic view of a screening apparatus for porosity test blocks provided in the third embodiment of the present invention. The embodiment can be suitable for the condition of screening the porosity test block on the test plate, and the device can be realized in a software and/or hardware mode. This sieving mechanism of porosity test block includes: a first target detection image acquisition module 310, a uniformity coefficient determination module 320, and a first porosity test block determination module 330.
The first target detection image obtaining module 310 is configured to obtain a first target detection image of a first target detection area on a test panel, and calculate a gray average of the first target detection image;
a uniformity coefficient determining module 320, configured to determine a uniformity coefficient of the first target detection area according to the gray average value;
the first porosity test block determining module 330 is configured to, if the uniformity coefficient meets a preset criterion, use the first target detection area as a first porosity test block.
According to the technical scheme, the uniformity coefficient is calculated through the first target detection image on the test plate, the first porosity test block is determined according to the standard of the uniformity coefficient, the problem that an algorithm for calculating the porosity is complex is solved, the workload of a screening process is reduced, and the production efficiency of the porosity test block is improved.
On the basis of the foregoing technical solution, optionally, the uniformity coefficient determining module 320 is specifically configured to:
calculating the gray standard deviation of the first target detection area according to the gray average value;
calculating the uniformity coefficient of the first target detection area based on the following formula:
wherein B is a uniformity coefficient, σ is a gray scale standard deviation,
is a gray scale average.
Optionally, the first target detection image obtaining module 310 includes:
the reference detection image acquisition unit is used for acquiring a reference detection image of the test panel by adopting a digital ray imaging detection technology;
a first target detection image determining unit configured to determine a first target detection image of the first target detection area based on the reference detection image.
Optionally, the reference detection image acquiring unit includes:
the unmarked area determining subunit is used for acquiring an initial detection image of the test plate and determining the unmarked area of the test plate according to the initial detection image;
and the reference detection image acquisition subunit is used for acquiring a reference detection image of the unmarked area of the test panel by adopting a digital ray imaging detection technology.
Optionally, the unmarked region determining region subunit is specifically configured to:
and acquiring an initial detection image of the test panel by adopting an ultrasonic pulse reflection technology.
Optionally, the apparatus further includes a second porosity block determination module, specifically configured to:
acquiring a second target detection image of a second target detection area on the test panel, and calculating the gray average value of the second target detection image;
determining a uniformity coefficient of the second target detection area according to the gray level average value;
and if the uniformity coefficient of the second target detection area is the same as that of the first target detection area, taking the second target detection area as a second porosity test block.
Optionally, if the first porosity test block is a reference test block, the second porosity test block is a calibration test block; and if the second porosity test block is the calibration test block, the first porosity test block is the comparison test block.
The screening device for the porosity test block provided by the embodiment of the invention can be used for executing the screening method for the porosity test block provided by the embodiment of the invention, and has corresponding functions and beneficial effects of the executing method.
It should be noted that, in the embodiment of the screening apparatus for porosity test blocks, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example four
Fig. 5 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, where the fourth embodiment of the present invention provides a service for implementing the method for screening a porosity test block according to the fourth embodiment of the present invention, and the apparatus for screening a porosity test block according to the fourth embodiment of the present invention may be configured. Fig. 5 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 5 is only an example and should not bring any limitations to the functionality and scope of use of the embodiments of the present invention.
As shown in FIG. 5, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes programs stored in the system memory 28 to perform various functional applications and data processing, such as implementing the porosity test block screening method provided by the embodiment of the present invention.
Through the equipment, the problem that the algorithm for calculating the porosity is complex is solved, the workload of the screening process is reduced, and the production efficiency of the porosity test block is improved.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for screening a porosity test block, the method including:
acquiring a first target detection image of a first target detection area on a test panel, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Of course, the storage medium provided by the embodiments of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the above method operations, and may also perform related operations in the method for screening a porosity test block provided by any embodiment of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for screening a porosity test block, comprising:
acquiring a first target detection image of a first target detection area on a test panel, and calculating a gray average value of the first target detection image;
determining a uniformity coefficient of the first target detection area according to the gray average value;
and if the uniformity coefficient meets a preset standard, taking the first target detection area as a first porosity test block.
2. The method of claim 1, wherein determining the uniformity coefficient for the first target detection region based on the gray scale average comprises:
calculating the gray standard deviation of the first target detection area according to the gray average value;
calculating a uniformity coefficient of the first target detection area based on the following formula:
wherein B is a uniformity coefficient, σ is a gray scale standard deviation,
is a gray scale average.
3. The method of claim 1, wherein obtaining the object detection image of the first object detection region on the test panel comprises:
acquiring a reference detection image of the test panel by adopting a digital radiographic detection technology;
and determining a first target detection image of the first target detection area according to the reference detection image.
4. The method of claim 3, wherein said acquiring a reference inspection image of said test panel using digital radiography inspection techniques comprises:
acquiring an initial detection image of a test plate, and determining an unmarked area of the test plate according to the initial detection image;
and acquiring a reference detection image of the unmarked area of the test plate by adopting a digital ray imaging detection technology.
5. The method of claim 4, wherein said obtaining an initial inspection image of the test panel comprises:
and acquiring an initial detection image of the test panel by adopting an ultrasonic pulse reflection technology.
6. The method of claim 1, further comprising:
acquiring a second target detection image of a second target detection area on the test panel, and calculating a gray average value of the second target detection image;
determining a uniformity coefficient of the second target detection area according to the gray average value;
and if the uniformity coefficient of the second target detection area is the same as the uniformity coefficient of the first target detection area, taking the second target detection area as a second porosity test block.
7. The method of claim 6, wherein if the first porosity block is a reference block, the second porosity block is a calibration block; and if the second porosity test block is the calibration test block, the first porosity test block is the comparison test block.
8. A screening apparatus for porosity test pieces, comprising:
the first target detection image acquisition module is used for acquiring a first target detection image of a first target detection area on a test panel and calculating the gray average value of the first target detection image;
the uniformity coefficient determining module is used for determining the uniformity coefficient of the first target detection area according to the gray average value;
and the first porosity test block determining module is used for taking the first target detection area as a first porosity test block if the uniformity coefficient meets a preset standard.
9. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of screening for porosity test blocks according to any of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the method of screening a porosity test block of any of claims 1-7 when executed by a computer processor.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114839129A (en) * | 2022-04-26 | 2022-08-02 | 东华大学 | Online detection method, device and system |
| CN115144314A (en) * | 2021-03-30 | 2022-10-04 | 中国航发商用航空发动机有限责任公司 | Composite porosity evaluation method based on ultrasonic detection |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150325406A1 (en) * | 2014-05-09 | 2015-11-12 | International Business Machines Corporation | Semiconductor inspection system including reference image generator |
| CN108022219A (en) * | 2017-11-30 | 2018-05-11 | 安徽质在智能科技有限公司 | A kind of two dimensional image tone correcting method |
| CN110176010A (en) * | 2019-05-24 | 2019-08-27 | 上海联影医疗科技有限公司 | A kind of image detecting method, device, equipment and storage medium |
-
2019
- 2019-11-29 CN CN201911207016.9A patent/CN111275664B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150325406A1 (en) * | 2014-05-09 | 2015-11-12 | International Business Machines Corporation | Semiconductor inspection system including reference image generator |
| CN108022219A (en) * | 2017-11-30 | 2018-05-11 | 安徽质在智能科技有限公司 | A kind of two dimensional image tone correcting method |
| CN110176010A (en) * | 2019-05-24 | 2019-08-27 | 上海联影医疗科技有限公司 | A kind of image detecting method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 田晓东;刘忠;: "基于统计量的声呐图像目标检测算法" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115144314A (en) * | 2021-03-30 | 2022-10-04 | 中国航发商用航空发动机有限责任公司 | Composite porosity evaluation method based on ultrasonic detection |
| CN114839129A (en) * | 2022-04-26 | 2022-08-02 | 东华大学 | Online detection method, device and system |
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