CN114332035B - Method for measuring medium parameters in cavitation bubbles - Google Patents
Method for measuring medium parameters in cavitation bubbles Download PDFInfo
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Abstract
The embodiment of the invention discloses a measuring method for medium parameters in cavitation bubbles, which is characterized in that the flow of the cavitation bubbles is a typical gas-liquid two-phase flow, the main components are gas and water, and the conductivity of the gas and the water has obvious difference. Arranging a sensor electrode array on a cavitation water tunnel, selecting adjacent metal electrode pairs as excitation ends of the sensor to provide excitation signals, and acquiring electrical impedance measurement information reflecting the distribution state of cavitation media among the metal electrode pairs on different acquisition ends through a distributed measurement strategy; the electrical impedance information between different electrode pairs is measured, the computed tomography imaging principle is referenced, the inverse problem is solved, and the image inversion is carried out to obtain a 2D/3D conductivity distribution image of the medium in the cavitation; displaying transient images of distribution and change rules of media of each phase in cavitation flow on the section of an experimental water tunnel; and further combining high-speed shooting to obtain a cavitation form, wherein the inside of the stable transparent super-cavitation is gas, and the outside of the cavitation interface is liquid, so that medium parameters in the cavitation are extracted.
Description
Technical Field
The embodiment of the invention relates to the field of cavitation measurement, in particular to a method for measuring parameters of medium inside cavitation.
Background
Cavitation flow is a complex flow phenomenon in high-velocity hydrodynamics involving multiphase flow, turbulence, mass exchange, compressibility, and unsteady characteristics. And cavitation flow is often difficult to avoid due to limitations in operating conditions, resulting in reduced propulsion efficiency, vibration, noise, and even mechanical damage.
Because the cavitation flow is multiphase complex flow, experimental research on the cavitation flow mostly adopts a high-speed imaging technology and a particle velocimetry (PIV) technology to study the morphology, the shedding frequency and the flow field structure of the cavitation, and is difficult to quantitatively obtain the development and evolution rules of relevant parameters such as the air content, the bubble characteristics and the like of the internal medium of the cavitation, and also difficult to provide quantitative data for accurately establishing a numerical calculation model, thereby restricting the further cognition of the flow mechanism of the cavitation. In order to grasp the flow characteristics of the medium inside the cavity, an effective measurement technique is required. At present, experimental researches on the distribution characteristics of medium in the cavity are relatively few, stutz and Legoupil (2003) adopt a double-fiber probe to measure (Stutz B,Legoupil S.X-ray measurements within unsteady cavitation[J].Experiments in fluids,2003,35(2):130-138.). the gas content and the gas velocity in the cavity of the venturi tube, but the cavity flow has transient unsteady characteristics, and the fiber probe is an invasive measurement, can generate disturbance on a flow field and is single-point measurement, and only local flow field information can be obtained. Cavitation flow belongs to a special gas-water two-phase flow, and because the main component in the bubbles is air or water vapor, the conductivity of the cavitation flow is obviously different from that of a liquid phase. Therefore, by using an electrical measurement method, measurement of relevant parameters of cavitation flow can be achieved, and Wan et al (2017) and the like obtain the internal steam content and the steam bubble scale of the cavitation under different cavitation forms by adopting a resistance probe measurement platform. The probe type measurement belongs to invasive measurement, and can generate certain influence on a flow field, so that the accuracy of measuring the parameters of the internal medium of cavitation bubbles is low.
Disclosure of Invention
The embodiment of the application provides a measuring method for parameters of a cavitation internal medium based on a cavitation water hole, which can realize non-contact measurement of the distribution of the cavitation internal medium.
The first aspect of the embodiment of the application provides a method for determining parameters of a medium inside a cavity, which comprises the following steps:
Acquiring electrical measurement data of cavitation bubbles through an electrode array of the metal motor;
Performing image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on the section;
Acquiring a transient flow form image of the cavitation bubbles through a camera;
and determining the internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow morphology image.
With reference to the first aspect, in a possible implementation manner, the determining, according to the distribution image and the transient flow image, an internal medium parameter of the cavitation bubbles includes:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
and determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image.
With reference to the first aspect, in one possible implementation manner, the determining, according to the corrected distribution image, an internal medium parameter of the cavitation bubbles includes:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
With reference to the first aspect, in a possible implementation manner, the determining, according to the pressure information and the cavitation bubble shape information, an internal medium parameter of the cavitation bubble includes:
determining a first cavitation type of the cavitation according to the pressure information;
determining a second cavitation type according to the cavitation shape information;
Determining a target cavitation type according to the first cavitation type and the second cavitation type;
And determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble types and the medium parameters.
With reference to the first aspect, in one possible implementation manner, the method further includes:
the distribution image and the transient flow morphology image are shown.
A second aspect of an embodiment of the present application provides a device for determining parameters of a medium inside a cavity, where the device includes:
the first acquisition unit is used for acquiring electrical measurement data of cavitation bubbles through an electrode array of the metal motor;
The reconstruction unit is used for carrying out image reconstruction on the electrical measurement data according to an image reconstruction method so as to obtain a distribution image of the cavitation bubbles on the section;
a second acquisition unit for acquiring transient flow morphology images of the cavitation bubbles by a camera;
and the determining unit is used for determining the internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow morphology image.
With reference to the second aspect, in one possible implementation manner, the determining unit is configured to:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
and determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image.
With reference to the second aspect, in one possible implementation manner, in the determining an internal medium parameter of the cavitation bubbles according to the corrected distribution image, the determining unit is configured to:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
With reference to the second aspect, in one possible implementation manner, in the aspect of determining the internal medium parameter of the cavity according to the pressure information and the cavity shape information, the determining unit is configured to:
determining a first cavitation type of the cavitation according to the pressure information;
determining a second cavitation type according to the cavitation shape information;
Determining a target cavitation type according to the first cavitation type and the second cavitation type;
And determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble types and the medium parameters.
With reference to the second aspect, in one possible implementation manner, the apparatus is further configured to:
the distribution image and the transient flow morphology image are shown.
A third aspect of the embodiments of the present application provides a terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to execute the step instructions as in the first aspect of the embodiments of the present application.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute some or all of the steps as described in the first aspect of the embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has at least the following beneficial effects:
The method comprises the steps of acquiring electrical measurement data of cavitation bubbles through an electrode array of a metal motor, carrying out image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on a section, acquiring a transient flow form image of the cavitation bubbles through a camera, and determining internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow form image, so that no invasive acquisition exists in the whole process of determining the internal medium parameters, no interference is caused to a flow field, and accuracy in determination of the internal medium parameters is improved.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a measurement system for parameters of medium inside a cavity according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for determining parameters of a medium inside a cavity according to an embodiment of the present application;
FIG. 3 is a flowchart of another method for determining parameters of a medium inside a cavity according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a device for determining parameters of medium inside cavitation bubbles according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the described embodiments of the application may be combined with other embodiments
In order to better understand the method for determining the parameters of the internal medium of the cavity provided by the embodiment of the present application, a brief description will be given below of a measurement system for parameters of the internal medium of the cavity to which the method for determining parameters of the internal medium of the cavity is applied. As shown in fig. 1, the system for measuring parameters of medium inside cavitation bubbles comprises: the experimental water tunnel 1, the metal electrode 2, the processing unit 3, the upper computer 4, the synchronizer 5 and the camera 6, wherein the metal electrode 2 is used for acquiring electrical measurement data of cavitation bubbles, the experimental water tunnel 1 comprises the cavitation bubbles, and the processing unit 3 can reconstruct the electrical measurement data to obtain a distribution image; the camera 6 is used for acquiring transient flow form images of cavitation bubbles, the upper computer 4 can display the distribution images and the transient flow form images acquired by the camera 6, and the synchronizer 5 is used for triggering the camera to acquire the transient flow form images and triggering the metal electrode to acquire electrical measurement data of the cavitation bubbles.
Referring to fig. 2, fig. 2 is a flowchart of a method for determining parameters of a medium inside a cavity according to an embodiment of the present application. As shown in fig. 2, the method is applied to a measurement system of medium parameters inside a cavity, and the method comprises the following steps:
201. electrical measurement data of the cavitation bubbles are obtained through an electrode array of metal electrodes.
In order to effectively measure cavitation bubbles in the experimental water tunnel 1, the arrangement of the metal electrodes 2 on the electrode assembly is further configured to be arrayed and equally spaced, specifically, a plurality of metal electrodes 2 may be formed into one or more groups of arrays, and the number of the metal electrodes 2 may be selected according to specific measurement requirements, for example, may be 16 or 32. Wherein the electrodes shown in fig. 1 are a single set of electrode assemblies. The electrical measurement data may characterize morphological features and medium parameter features of the cavitation bubbles.
For each group of electrode assemblies, each pair of adjacent metal electrodes 2 is respectively used as an excitation end of a sensor, receiving signals on the other pairs of metal electrodes 2 are correspondingly obtained, and measurement information reflecting the distribution state of the cavitation medium is acquired according to the receiving signals. For example, if 16 metal electrodes 2 are used as electrode assemblies, 16 pairs of adjacent electrode pairs can be formed as excitation ends, and the electric signal distribution on the cross section of the whole experimental water tunnel 1 can be realized by correspondingly measuring and removing the received signals on other adjacent electrode pairs as excitation ends.
In order to make the obtained measurement data more accurate and improve the reliability of instantaneous detection inside the cavitation, in a specific embodiment, the electrode assemblies are formed into two groups, the metal electrodes 2 in the two groups of electrode assemblies are arranged in a staggered manner, the metal electrodes 2 in each group are arranged at equal intervals, the distances between the metal electrodes 2 in different groups are not completely the same, of course, the number of the two groups of metal electrodes 2 can be the same or different, the staggered arrangement can be one-to-one staggered, or one group of arrays is staggered with the other group of arrays, and the two groups of metal electrodes 2 are arranged in a targeted manner according to the specific number of each group of metal electrodes 2.
202. And carrying out image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on the section.
The method for reconstructing the image of the electrical measurement data may be a general image reconstruction method, so as to obtain a distribution image of the cavitation bubbles on the cross section.
203. And acquiring a transient flow morphology image of the cavitation bubbles through a camera.
The camera may acquire the transient flow pattern image when acquiring the electrical measurement data with the metal electrode, or may acquire the transient flow pattern image within a certain range of the time when the electrical measurement data is acquired by the metal electrode, where the certain range is an error allowable range. The equivalent processing can be performed approximately at the time when the metal electrode acquires the electrical measurement data.
Of course, the camera may acquire a plurality of transient flow pattern images, and use the transient flow pattern image with the best image quality of the plurality of transient flow pattern images for subsequent acquisition of internal medium parameters. The camera can also perform image fusion processing on the acquired transient flow form images, and acquire the transient flow form images after fusion processing in the subsequent internal medium parameters.
The method for performing image fusion processing on the transient flow form images can be to divide the transient flow form images to obtain a plurality of sub-transient flow form images. And reserving and combining the images with the best quality in each sub-transient flow form image to obtain the transient flow form image after fusion processing.
204. And determining the internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow morphology image.
The transient flow morphology image may be used to correct the distribution image to obtain a corrected distribution image to determine internal media parameters of the cavitation bubbles.
In this example, electrical measurement data of the cavitation bubbles are obtained through an electrode array of the metal motor, image reconstruction is performed on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on a section, a transient flow form image of the cavitation bubbles is obtained through a camera, and internal medium parameters of the cavitation bubbles are determined according to the distribution image and the transient flow form image, so that no invasive acquisition exists in the whole process of determining the internal medium parameters, no interference is caused to a flow field, and accuracy in determining the internal medium parameters is improved.
In one possible implementation, a possible method for determining an internal medium parameter of the cavitation bubbles according to the distribution image and the transient flow image includes:
a1, extracting features of the transient flow form image to obtain feature data;
A2, correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
A3, determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image.
Wherein the feature data may be gray values, RGB values, etc. The feature extraction of the transient flow morphology image may be performed by a general feature extraction algorithm to obtain feature data.
The method for correcting the distributed image according to the characteristic data can be as follows: and correcting the distribution image by adopting the characteristic data according to the image correction model so as to obtain a corrected distribution image. The image correction model is a pre-trained model and is used for carrying out forward correction on the distribution image according to the characteristic data, so that the image quality of the distribution image is improved.
Of course, the correction parameters may be generated from the feature data, and the distribution image may be corrected based on the correction parameters. Specifically, for example, image positive correlation data is determined from the feature data, the positive correlation data is determined as a correction parameter, and the distribution image is corrected from the positive correlation data to obtain a corrected distribution image.
The internal medium parameters of the cavitation can be determined from the cavitation shape information determined from the corrected distribution image and from the pressure information of the cavitation.
In the example, the transient flow form image is subjected to feature extraction, the obtained feature data is subjected to correction processing on the distribution image, and the corrected distribution image is obtained to determine the internal medium parameters of the cavitation bubbles, so that the accuracy of acquiring the internal medium parameters of the cavitation bubbles is improved.
In one possible implementation, determining the internal medium parameter of the cavitation bubbles according to the corrected distribution image includes:
B1, determining cavitation shape information according to the corrected distribution image;
B2, determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
B3, determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
and B4, determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
The corrected distribution image can be subjected to feature extraction to obtain feature data; and determining cavitation shape information according to the characteristic data. Wherein the feature data may be a gray value or the like.
The outline of the cavitation bubbles can be determined according to the areas with abrupt gray values, so that cavitation bubble shape information is obtained.
The maximum distance between the tangent plane of the cavitation bubbles and the upper tube wall can be understood as: because the cavitation is spherical, the tangent plane of the point can be determined based on any point of the spherical surface, so that the distance between the tangent plane and the upper pipe wall can be obtained. The upper vessel wall is understood to be the vessel wall that the cavitation bubbles contact. Of course, the maximum distance may also be the maximum distance between a point on the sphere of the cavitation bubble and the upper tube wall.
The pressure of the tangent point in the medium may be determined according to a pressure acquisition algorithm.
The type of the cavitation can be determined according to the pressure information and the cavitation shape information, and the internal medium parameters of the cavitation can be determined according to the type of the cavitation.
In this example, the transient cavitation flow morphology image is used to determine cavitation shape information, and the maximum distance between the tangent plane of the cavitation and the upper pipe wall determined according to the shape information, and the pressure information of the tangent point of the tangent plane are used to determine the medium parameter, so that the accuracy of determining the medium parameter can be improved.
In one possible implementation, a possible method for determining an internal medium parameter of the cavity according to the pressure information and the cavity shape information includes:
c1, determining a first cavitation type of the cavitation according to the pressure information;
C2, determining a second cavitation type according to the cavitation shape information;
C3, determining a target cavitation type according to the first cavitation type and the second cavitation type;
And C4, determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble type and the medium parameters.
Different pressure information can correspond to different cavitation types, and the maximum distance between the tangent plane of the cavitation in the medium and the upper pipe wall can reflect information such as the density of the medium in the cavitation, so that the density information of the medium can be obtained, and different densities can reflect different cavitation types. Different cavitation shapes correspond to different cavitation types, and the cavitation types can be determined according to the shapes of the cavitation because the shapes of the cavitation in different media are different.
The first and second void types may be checked against each other to determine the result of the check as the target void type. Specifically, for example, the type may be neutralized to obtain a target cavitation type.
The mapping between the type of cavitation and the media parameters may be set by empirical values or historical data.
In this example, the internal medium parameters of the cavitation bubbles are determined by the target cavitation bubble type obtained by mutual verification between the first cavitation bubble type determined by the pressure information and the second cavitation bubble type determined according to the cavitation bubble shape information, so that the accuracy of determining the medium parameters is improved.
In one possible implementation, the distribution image and the transient flow morphology image may also be presented. The distribution image and the transient flow morphology image can be displayed on an upper computer in real time.
Fig. 3 is a flowchart of another method for determining parameters of a medium inside a cavity according to an embodiment of the present application. As shown in fig. 3, the method is applied to a measurement system of medium parameters inside a cavity, and the method comprises the following steps:
301. Acquiring electrical measurement data of cavitation bubbles through an electrode array of a metal electrode;
302. Performing image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on the section;
303. Acquiring a transient flow form image of the cavitation bubbles through a camera;
304. Extracting features of the transient flow form image to obtain feature data;
305. correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
306. determining cavitation shape information according to the corrected distribution image;
307. determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
308. Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
309. And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
In this example, the transient cavitation flow morphology image is used to determine cavitation shape information, and the maximum distance between the tangent plane of the cavitation and the upper pipe wall determined according to the shape information, and the pressure information of the tangent point of the tangent plane are used to determine the medium parameter, so that the accuracy of determining the medium parameter can be improved.
In accordance with the foregoing embodiments, referring to fig. 4, fig. 4 is a schematic structural diagram of a terminal provided in an embodiment of the present application, where the terminal includes a processor, an input device, an output device, and a memory, and the processor, the input device, the output device, and the memory are connected to each other, where the memory is configured to store a computer program, the computer program includes program instructions, the processor is configured to invoke the program instructions, and the program includes instructions for executing the following steps;
Acquiring electrical measurement data of cavitation bubbles through an electrode array of a metal electrode;
Performing image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on the section;
Acquiring a transient flow form image of the cavitation bubbles through a camera;
and determining the internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow morphology image.
In one possible implementation, the determining the internal medium parameter of the cavitation bubbles according to the distribution image and the transient flow image includes:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
and determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image.
In one possible implementation, the determining the internal medium parameter of the cavity according to the corrected distribution image includes:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
In one possible implementation manner, the determining the internal medium parameter of the cavity according to the pressure information and the cavity shape information includes:
determining a first cavitation type of the cavitation according to the pressure information;
determining a second cavitation type according to the cavitation shape information;
Determining a target cavitation type according to the first cavitation type and the second cavitation type;
And determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble types and the medium parameters.
In one possible implementation, the method further includes:
the distribution image and the transient flow morphology image are shown.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that, in order to achieve the above-mentioned functions, the terminal includes corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application can divide the functional units of the terminal according to the method example, for example, each functional unit can be divided corresponding to each function, and two or more functions can be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.
In accordance with the foregoing, referring to fig. 5, fig. 5 is a schematic structural diagram of a device for determining parameters of medium inside a cavity according to an embodiment of the present application. As shown in fig. 5, the apparatus includes:
A first acquiring unit 501, configured to acquire electrical measurement data of the cavitation bubbles through an electrode array of the metal motor;
a reconstruction unit 502, configured to perform image reconstruction on the electrical measurement data according to an image reconstruction method, so as to obtain a distribution image of the cavitation bubbles on a cross section;
A second acquisition unit 503, configured to acquire a transient flow form image of the cavitation bubbles through a camera;
a determining unit 504, configured to determine an internal medium parameter of the cavitation bubble according to the distribution image and the transient flow morphology image.
In a possible implementation manner, the determining unit 504 is configured to:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
and determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image.
In a possible implementation manner, in the determining an internal medium parameter of the cavitation bubbles according to the corrected distribution image, the determining unit 504 is configured to:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
In a possible implementation manner, in the determining the internal medium parameter of the cavity according to the pressure information and the cavity shape information, the determining unit 504 is configured to:
determining a first cavitation type of the cavitation according to the pressure information;
determining a second cavitation type according to the cavitation shape information;
Determining a target cavitation type according to the first cavitation type and the second cavitation type;
And determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble types and the medium parameters.
In one possible implementation, the apparatus is further configured to:
the distribution image and the transient flow morphology image are shown.
The embodiment of the present application also provides a computer storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute some or all of the steps of any one of the methods for determining parameters of a cavitation internal medium as described in the above method embodiment.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps of a method for determining a parameter of a medium inside a cavity as described in the above method embodiments.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units described above may be implemented either in hardware or in software program modules.
The integrated units, if implemented in the form of software program modules, may be stored in a computer-readable memory for sale or use as a stand-alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned memory includes: a U-disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-only memory, random access memory, magnetic or optical disk, etc.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (6)
1. A method for measuring parameters of a medium inside a cavity, the method comprising:
Acquiring electrical measurement data of cavitation bubbles through an electrode array of a metal electrode;
performing image reconstruction on the electrical measurement data according to an image reconstruction method to obtain a distribution image of the cavitation bubbles on a section;
Acquiring a transient flow form image of the cavitation bubbles through a camera;
Determining internal medium parameters of the cavitation bubbles according to the distribution image and the transient flow morphology image;
Said determining an internal media parameter of said cavitation bubbles from said distribution image and said transient flow image comprising:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
Determining an internal medium parameter of the cavitation bubbles according to the corrected distribution image;
The determining the internal medium parameters of the cavitation bubbles according to the corrected distribution image comprises the following steps:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
2. The method of claim 1, wherein said determining an internal media parameter of said void from said pressure information and said void shape information comprises:
determining a first cavitation type of the cavitation according to the pressure information;
determining a second cavitation type according to the cavitation shape information;
Determining a target cavitation type according to the first cavitation type and the second cavitation type;
And determining the internal medium parameters of the cavitation bubbles according to the mapping relation between the target cavitation bubble types and the medium parameters.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
the distribution image and the transient flow morphology image are shown.
4. A device for determining parameters of a medium within a cavity, the device comprising:
the first acquisition unit is used for acquiring electrical measurement data of cavitation bubbles through an electrode array of the metal motor;
The reconstruction unit is used for carrying out image reconstruction on the electrical measurement data according to an image reconstruction method so as to obtain a distribution image of the cavitation bubbles on the section;
a second acquisition unit for acquiring transient flow morphology images of the cavitation bubbles by a camera;
a determining unit, configured to determine an internal medium parameter of the cavitation bubbles according to the distribution image and the transient flow morphology image;
The determining unit is used for:
extracting features of the transient flow form image to obtain feature data;
Correcting the distribution image according to the characteristic data to obtain a corrected distribution image;
Determining an internal medium parameter of the cavitation bubbles according to the corrected distribution image;
in said determining an internal medium parameter of said cavitation bubbles from said corrected distribution image, said determining unit is adapted to:
Determining cavitation shape information according to the corrected distribution image;
Determining the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall according to the shape information;
Determining pressure information of the cavitation bubbles at a tangent point between the tangent plane and the cavitation bubbles according to the maximum distance between the tangent plane of the cavitation bubbles and the upper pipe wall;
And determining the internal medium parameters of the cavitation bubbles according to the pressure information and the cavitation bubble shape information.
5. A terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-3.
6. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-3.
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| CN106482928A (en) * | 2016-10-13 | 2017-03-08 | 水利部交通运输部国家能源局南京水利科学研究院 | Electric spark excites cavity to occur and test device |
| CN108845005A (en) * | 2018-06-22 | 2018-11-20 | 上海交通大学 | Suitable for heating the embedded cavity measuring sensor of plate channel two-phase flow |
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| WO2020061939A1 (en) * | 2018-09-27 | 2020-04-02 | 西门子股份公司 | Method, apparatus, and system for identifying device, storage medium, processor, and terminal |
| CN109738153B (en) * | 2019-01-08 | 2020-12-08 | 中国船舶科学研究中心（中国船舶重工集团公司第七0二研究所） | Supercavitation internal flow testing device |
| CN111912880B (en) * | 2020-07-15 | 2022-04-15 | 中国核动力研究设计院 | Narrow rectangular channel full-field transient cavitation share measurement system and method |
| CN113223107B (en) * | 2021-05-20 | 2023-01-31 | 华北电力大学（保定） | Gas-liquid two-phase flow resistance tomography method and device and terminal equipment |
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| CN106482928A (en) * | 2016-10-13 | 2017-03-08 | 水利部交通运输部国家能源局南京水利科学研究院 | Electric spark excites cavity to occur and test device |
| CN108845005A (en) * | 2018-06-22 | 2018-11-20 | 上海交通大学 | Suitable for heating the embedded cavity measuring sensor of plate channel two-phase flow |
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