Aluminum and aluminum alloy sorting method and apparatus based on pulsating airflow sorting

Abstract

The application relates to the technical field of artificial intelligence, and discloses an aluminum and aluminum alloy sorting method and device based on pulsating airflow sorting, which comprises the following steps: generating particle motion imaging of preset aluminum mixed particles; generating particle motion characteristics of the aluminum mixed particles according to the particle motion imaging; generating motion time domain information of the aluminum mixed particles according to the particle motion characteristics; performing time-frequency conversion on the motion time domain information by using a preset time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particles; generating configuration parameters of a pulsating flow separation experiment device according to the motion frequency domain information; performing parameter configuration on the pulsating flow separation experiment device according to the configuration parameters to obtain a completed pulsating flow separation experiment device; and performing material sorting on a target aluminum mixture by using the completed pulsating flow separation experiment device. The application can improve the efficiency of aluminum and aluminum alloy sorting.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of artificial intelligence, and in particular to an aluminum and aluminum alloy sorting method and device based on pulsating airflow sorting. BACKGROUND

[0002] With the development of modern industry, aluminum and aluminum alloy, as important materials, are widely used in various fields. Aluminum is a widely used light metal with excellent chemical stability, corrosion resistance and electrical conductivity, and is widely used in construction, transportation, electronics, packaging and other fields. Aluminum alloy is a material obtained by alloying aluminum with other metals (such as copper, zinc, magnesium, etc.), which has better strength, stiffness and corrosion resistance than pure aluminum, and is widely used in aviation, automobile manufacturing, construction and other fields.

[0003] Aluminum alloy sorting can classify different components of waste aluminum alloy for reprocessing and utilization, reducing the amount of waste and waste of resources, while also reducing production costs and improving product quality. However, in the production and processing of aluminum and aluminum alloy, different types of aluminum materials are often mixed together, which poses a challenge to material sorting and recycling. Traditional aluminum and aluminum alloy sorting methods often require multiple processing and treatment, resulting in multiple waste, increasing production costs, and being unable to efficiently and accurately separate different types of aluminum and aluminum alloy. Therefore, how to improve the efficiency of aluminum and aluminum alloy sorting has become a problem to be solved. SUMMARY

[0004] The present application provides an aluminum and aluminum alloy sorting method and device based on pulsating airflow sorting, which mainly aims to solve the problem of low efficiency of aluminum and aluminum alloy sorting.

[0005] To achieve the above-mentioned purpose, the present application provides an aluminum and aluminum alloy sorting method based on pulsating airflow sorting, which comprises:

[0006] Generating a particle motion imaging of a predetermined aluminum mixed particle;

[0007] Generating a particle motion feature of the aluminum mixed particle according to the particle motion imaging, and generating motion time domain information of the aluminum mixed particle according to the particle motion feature;

[0008] Performing time-frequency conversion on the motion time domain information using a predetermined time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particle, wherein the predetermined time-frequency conversion algorithm is:

[0009]

[0010] X(g) = exp(-j * 2 * pi * g * n) * x(n), wherein X(g) represents the motion frequency domain information corresponding to the motion time domain information, x(n) represents a sample value of the motion time domain information in a time domain, n represents an identifier of the sample value, g represents a frequency corresponding to the motion time domain information, pi represents a circular constant, i represents an imaginary unit, and e represents a base number of a natural logarithm;

[0011] generating configuration parameters of the pulsating flow experimental device according to the motion frequency domain information;

[0012] performing parameter configuration on the pulsating flow experimental device according to the configuration parameters, to obtain a completed pulsating flow experimental device, and performing material sorting on the target aluminum mixture by using the completed pulsating flow experimental device.

[0013] Optionally, the generating of the particle motion imaging of the preset aluminum mixed particles comprises:

[0014] generating an imaging system of the preset aluminum mixed particles;

[0015] recording the aluminum mixed particles in motion according to the imaging system, to obtain the particle motion imaging of the aluminum mixed particles.

[0016] Optionally, the generating of the particle motion feature of the aluminum mixed particles according to the particle motion imaging comprises:

[0017] performing smoothing filtering on the particle motion imaging, to obtain a denoising image of the particle motion imaging;

[0018] performing edge detection on the denoising image, to obtain an edge feature of the denoising image;

[0019] performing corner point detection on the denoising image, to obtain a corner point feature of the denoising image;

[0020] generating the particle motion feature of the aluminum mixed particles according to the edge feature and the corner point feature.

[0021] Optionally, the performing of the smoothing filtering on the particle motion imaging, to obtain the denoising image of the particle motion imaging, comprises:

[0022] performing smoothing filtering on the particle motion imaging by using a smoothing filtering algorithm, to obtain the denoising image of the particle motion imaging;

[0023]

[0024] wherein f(x) represents a filtered pixel value of a pixel point of the particle motion imaging after smoothing filtering, x represents the pixel point of the particle motion imaging, sigma represents a standard deviation of the pixel point, mu represents an expectation of the pixel point, and exp(*) represents an exponential function.

[0025] Optionally, the corner point detection on the denoised image is performed to obtain a corner point feature of the denoised image, comprising:

[0026] A feature descriptor of the denoised image is generated;

[0027] A sliding window analysis is performed on the denoised image according to the feature descriptor to obtain a primary corner point of the denoised image;

[0028] A non-maximum suppression processing is performed on the primary corner point to obtain a local optimal corner point of the primary corner point;

[0029] The local optimal corner point and a preset corner point threshold are used to generate a corner point feature of the denoised image.

[0030] Optionally, the particle motion feature of the aluminum mixed particles is generated according to the edge feature and the corner point feature, comprising:

[0031] A real-time position of the aluminum mixed particles is generated according to the edge feature and the corner point feature;

[0032] A particle tracking is performed on the aluminum mixed particles by using the real-time position to obtain a motion trajectory of the aluminum mixed particles;

[0033] A velocity feature of the aluminum mixed particles is generated according to the motion trajectory;

[0034] An acceleration feature of the aluminum mixed particles is generated by using the velocity feature and the motion trajectory;

[0035] A motion feature of the aluminum mixed particles is generated according to the velocity feature and the acceleration feature.

[0036] Optionally, the motion time domain information of the aluminum mixed particles is generated according to the particle motion feature, comprising:

[0037] A time series processing is performed on the particle motion feature to obtain motion time series data of the aluminum mixed particles;

[0038] A time domain information of the aluminum mixed particles is extracted according to the motion time series data;

[0039] The time domain information is integrated according to a time label corresponding to the particle motion feature to obtain the motion time domain information of the aluminum mixed particles.

[0040] Optionally, the configuration parameter of the pulsatile shunt experiment device is generated according to the motion frequency domain information, comprising:

[0041] A frequency domain feature of the motion frequency domain information is generated;

[0042] generate a pulsation frequency of the pulsating flow separation experimental device according to the frequency domain feature;

[0043] generate an airflow velocity and a sorting bin angle of the pulsating flow separation experimental device according to the preset aluminum mixed particles;

[0044] generate a configuration parameter of the pulsating flow separation experimental device according to the pulsation frequency, the airflow velocity and the sorting bin angle.

[0045] Optionally, the parameter configuration of the pulsating flow separation experimental device according to the configuration parameter comprises:

[0046] setting a pulsation frequency of the pulsating flow separation experimental device according to the configuration parameter to obtain a primary pulsating flow separation device;

[0047] adjusting an airflow velocity of the primary pulsating flow separation device to obtain a secondary pulsating flow separation device;

[0048] adjusting a sorting bin angle of the secondary pulsating flow separation device to obtain the completed pulsating flow separation experimental device.

[0049] To solve the above problems, the application further provides an aluminum and aluminum alloy sorting device based on pulsating airflow sorting, which comprises:

[0050] an imaging acquisition module configured to generate particle motion imaging of the preset aluminum mixed particles;

[0051] a time domain information generation module configured to generate particle motion features of the aluminum mixed particles according to the particle motion imaging, and generate motion time domain information of the aluminum mixed particles according to the particle motion features;

[0052] a time-frequency conversion module configured to perform time-frequency conversion on the motion time domain information by using a preset time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particles, wherein the preset time-frequency conversion algorithm is:

[0053]

[0054] wherein X(g) represents the motion frequency domain information corresponding to the motion time domain information, x(n) represents a sample value of the motion time domain information in the time domain, n represents an identifier of the sample value, g represents a frequency corresponding to the motion time domain information, π represents a circular constant, i represents an imaginary unit, and e represents a base number of a natural logarithm;

[0055] a configuration parameter module configured to generate a configuration parameter of a pulsating flow separation experimental device according to the motion frequency domain information;

[0056] A substance sorting module is configured to configure the pulsating flow separation experimental device according to the configuration parameters, and obtain a configured pulsating flow separation experimental device, and the target aluminum mixture is sorted by using the configured pulsating flow separation experimental device.

[0057] The embodiment of the present application can accurately capture and record the motion characteristics such as the position and speed of the particles by generating the preset particle motion imaging of the aluminum mixed particles, so as to provide accurate and detailed data basis for the subsequent sorting process, convert the obtained motion time domain information into motion frequency domain information by using the preset time-frequency conversion algorithm, extract the frequency characteristics of the particle motion, classify and distinguish different particles, generate the configuration parameters of the pulsating flow separation experimental device according to the motion frequency domain information, and the configuration parameters are determined according to the motion characteristics and frequency characteristics of the particles, so that the separation device can better sort the target aluminum mixture, and the substance is sorted by using the configured pulsating flow separation experimental device, so that the automatic sorting is realized, the sorting speed and efficiency are greatly improved, the demand for human resources is reduced, a large amount of particles can be processed in a short time, meanwhile, the sorting device can be sorted according to the accurate information, the accuracy and selectivity of the sorting are improved, the possibility of misjudgment and wrong sorting is reduced compared with the traditional sorting method, and therefore, the aluminum and aluminum alloy sorting method and device based on the pulsating airflow sorting are provided, and the problem of low efficiency of the aluminum and aluminum alloy sorting can be solved. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 A flowchart of the aluminum and aluminum alloy sorting method based on the pulsating airflow sorting provided by an embodiment of the present application is shown;

[0059] Figure 2 A flowchart of the generation of the motion time domain information of the aluminum mixed particles provided by an embodiment of the present application is shown;

[0060] Figure 3 A flowchart of the generation of the configuration parameters of the pulsating flow separation experimental device provided by an embodiment of the present application is shown;

[0061] Figure 4 A functional module diagram of the aluminum and aluminum alloy sorting device based on the pulsating airflow sorting provided by an embodiment of the present application is shown;

[0062] The implementation, functional characteristics and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0063] It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0064] The embodiment of the present application provides an aluminum and aluminum alloy sorting method based on pulsating airflow sorting. The execution subject of the aluminum and aluminum alloy sorting method based on pulsating airflow sorting includes but is not limited to at least one of electronic devices such as a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the present application. In other words, the aluminum and aluminum alloy sorting method based on pulsating airflow sorting can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to a single server, a server cluster, a cloud server or a cloud server cluster and the like. The server can be a stand-alone server, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0065] Referring to Figure 1 Fig. 1 is a flowchart of an aluminum and aluminum alloy sorting method based on pulsating airflow sorting provided by an embodiment of the present application. In the embodiment, the aluminum and aluminum alloy sorting method based on pulsating airflow sorting includes:

[0066] S1, generating particle motion imaging of preset aluminum mixed particles.

[0067] In the embodiment of the present application, the generating particle motion imaging of the preset aluminum mixed particles includes:

[0068] generating an imaging system of the preset aluminum mixed particles;

[0069] According to the imaging system, the aluminum mixed particles in motion are recorded to obtain particle motion imaging of the aluminum mixed particles.

[0070] In detail, the particle motion imaging refers to observing and recording particles using an imaging system and obtaining image information of particles in the motion process, and through analyzing the image information, the motion trajectory, speed, direction and the like of the particles can be obtained; the aluminum mixed particles refer to a particle mixture composed of aluminum and aluminum alloy, including particles with different components and properties.

[0071] In detail, the imaging system for generating the preset aluminum mixed particles refers to a system designed and configured for imaging the aluminum mixed particles in motion, which can include optical lenses, light sources, image sensors and other elements for capturing the motion process of the particles; the recording of the aluminum mixed particles in motion refers to real-time observation and recording of the aluminum mixed particles using the imaging system, by adjusting the parameters and settings of the imaging system, to ensure that the motion state of the particles can be clearly captured, and the particle motion imaging of the aluminum mixed particles is obtained, which can be used for subsequent analysis and processing to extract the motion characteristics of the particles.

[0072] S2, generating the particle motion characteristics of the aluminum mixed particles according to the particle motion imaging, and generating the motion time domain information of the aluminum mixed particles according to the particle motion characteristics.

[0073] In the embodiment of the present application, the generation of the particle motion characteristics of the aluminum mixed particles according to the particle motion imaging comprises:

[0074] performing smoothing filtering on the particle motion imaging to obtain a denoised image of the particle motion imaging;

[0075] performing edge detection on the denoised image to obtain edge features of the denoised image;

[0076] performing corner point detection on the denoised image to obtain corner point features of the denoised image;

[0077] generating the particle motion characteristics of the aluminum mixed particles according to the edge features and the corner point features.

[0078] In detail, the smoothing filtering refers to a process of weighted average of image pixel points, which can remove noise in the image and discontinuity between particles; the edge detection refers to a process of finding the edge of an object by analyzing the pixel change rate in the image; the corner point detection refers to a process of finding pixel points with corner point features by analyzing the gray value change, curvature and other features in the image.

[0079] In detail, the smoothing filtering of the particle motion imaging refers to performing noise reduction processing in the particle motion imaging by applying a smoothing filtering algorithm, so as to better analyze and extract the motion characteristics of the particles; the edge detection of the noise reduction image refers to identifying the edge features in the noise reduction image by applying an edge detection algorithm, so as to help extract the trajectory and direction of the particle motion and other information; the corner detection of the noise reduction image refers to analyzing the local gray value changes and curvature features and the like in the image by applying a corner detection algorithm, to find the pixel points with corner features, so as to help distinguish different particles and extract the corresponding motion characteristics; and the generation of the motion characteristics of the aluminum mixed particles according to the edge features and the corner features refers to combining the obtained edge features and corner features to form the motion characteristics of the aluminum mixed particles, which can be used in the subsequent material sorting process.

[0080] In detail, by performing the smoothing filtering, the edge detection and the corner detection and the like on the particle motion imaging, the motion characteristics of the particles are obtained, which can be used for image recognition and classification in the sorting and processing of the aluminum mixed particles, and for optimizing the parameter configuration of the sorting equipment, improving the material sorting effect, for example, in the sorting of aluminum and aluminum alloy based on the pulsating airflow sorting, the sorting process of aluminum and aluminum alloy can be optimized and improved by obtaining the motion characteristics of the particles, to improve the sorting efficiency and precision, and by identifying the trajectory and direction of the particles and other information, the differences between different materials can be better distinguished, so as to realize more accurate and effective material sorting.

[0081] In detail, the smoothing filtering of the particle motion imaging comprises:

[0082] The smoothing filtering of the particle motion imaging is performed by using the following smoothing filtering algorithm to obtain the noise reduction image of the particle motion imaging:

[0083]

[0084] Wherein, f(x) represents the filtered pixel value of the pixel point of the particle motion imaging after the smoothing filtering, x represents the pixel point of the particle motion imaging, σ represents the standard deviation of the pixel point, μ represents the expectation of the pixel point, and exp(*) represents the exponential function.

[0085] In detail, the smoothing filtering of the particle motion imaging to obtain the denoising image of the particle motion imaging refers to calculating the weighted average of each pixel point of the particle motion imaging and the surrounding pixel points, wherein the weight is determined by a Gaussian function, different weights are obtained at different positions of the filtering kernel, and finally, the smoothing filtering of the entire image is realized. Thus, the denoising image of the particle motion imaging is obtained, wherein the noise is effectively reduced, which is helpful for subsequent image processing and feature extraction. It should be noted that the effect of Gaussian filtering is affected by the standard deviation. A smaller standard deviation value can make the image smoother, but may cause loss of details. A larger standard deviation value can retain more details, but may not effectively remove the noise. Therefore, in actual application, an appropriate standard deviation value needs to be selected according to the specific situation.

[0086] In detail, the corner point detection on the denoising image to obtain the corner point feature of the denoising image comprises:

[0087] Generating the feature descriptor of the denoising image;

[0088] Performing sliding window analysis on the denoising image according to the feature descriptor to obtain the primary corner point of the denoising image;

[0089] Performing non-maximum suppression processing on the primary corner point to obtain the locally optimal corner point of the primary corner point;

[0090] Generating the corner point feature of the denoising image by using the locally optimal corner point and a preset corner point threshold.

[0091] In detail, the selected feature descriptor method, such as Harris corner point detection and Shi-Tomasi corner point detection, can be used to generate the feature descriptor of the denoising image. This step aims to calculate the gradient and corner point response function of each pixel point to obtain the feature descriptor for subsequent corner point detection.

[0092] In detail, the sliding window analysis is performed on the denoising image, that is, the image is divided into local regions one by one, and the feature descriptor of each window is calculated to find the primary corner point. The purpose of the sliding window is to analyze the image locally to determine the possible corner point.

[0093] In detail, the non-maximum suppression processing is performed on the primary corner point, that is, multiple corner points with similar positions are removed from the detected corner points, and only the locally optimal corner point is retained. The purpose of this step is to reduce the redundant corner points and improve the accuracy of the detection result.

[0094] In detail, the final corner features of the denoised image are generated by using local optimal corner points and a preset corner point threshold. By setting appropriate threshold or parameters, the corner points can be screened according to some properties (such as corner point intensity, stability, etc.) of the corner points, and the most representative corner points are selected.

[0095] In detail, the corner point detection on the denoised image to obtain the corner point features of the denoised image refers to using a sliding window analysis to find out primary corner points that may represent particles, and a non-maximum suppression processing is used to remove redundant corner points. Finally, by setting a suitable corner point threshold, the most representative corner points are selected as the corner point features to describe the position information of the aluminum and aluminum alloy particles in the pulsating air flow sorting.

[0096] In detail, the generation of the particle motion features of the aluminum mixed particles according to the edge features and the corner point features comprises:

[0097] Generating a real-time position of the aluminum mixed particles according to the edge features and the corner point features;

[0098] Performing particle tracking on the aluminum mixed particles by using the real-time position to obtain a motion trajectory of the aluminum mixed particles;

[0099] Generating a velocity feature of the aluminum mixed particles according to the motion trajectory;

[0100] Generating an acceleration feature of the aluminum mixed particles by using the velocity feature and the motion trajectory;

[0101] Generating a motion feature of the aluminum mixed particles according to the velocity feature and the acceleration feature.

[0102] In detail, the edge features and the corner point features in the image are extracted by performing edge detection and corner point detection on the image, wherein the edge features represent the contour of the object in the image, and the corner point features represent the significant corner points of the object in the image.

[0103] In detail, by using the edge features and the corner point features, the real-time position of the aluminum mixed particles can be determined. By analyzing the spatial distribution and change of these features in the image, the position information of the particles can be inferred. By using the real-time position information, the aluminum mixed particles are tracked. By tracking the position change of the particles between consecutive image frames, the motion trajectory of the particles can be obtained. The tracking algorithm can be implemented by using feature point matching, optical flow method, etc.

[0104] Further, based on the motion trajectory of the particle, the speed feature of the particle can be calculated, the speed information of the particle can be obtained by analyzing the position change rate of the particle at different time points, and the speed feature describes the moving rate of the particle in space; by using the speed feature and the motion trajectory, the acceleration feature of the particle can be calculated, the acceleration information of the particle can be obtained by analyzing the change rate of the speed of the particle at different time points, and the acceleration feature describes the acceleration change of the particle in space; according to the speed feature and the acceleration feature, the motion feature of the aluminum mixed particle can be comprehensively calculated, and these features include position, speed and acceleration and the like, which are used to describe the motion state and behavior of the particle.

[0105] In detail, the generating the particle motion feature of the aluminum mixed particle according to the edge feature and the corner point feature refers to determining the real-time position of the particle by using the edge feature and the corner point feature, tracking, obtaining the motion trajectory of the particle, calculating the speed feature of the particle according to the motion trajectory, such as the speed size and direction of the particle in the air, further calculating the acceleration feature of the particle according to the speed change rate, reflecting the motion acceleration of the particle, and finally comprehensively generating the motion feature of the aluminum mixed particle by comprehensively generating the position, speed and acceleration and the like.

[0106] In the embodiment of the present application, the particle motion feature includes the edge feature and the corner point feature. Figure 2 As shown in the figure, the generating the motion time domain information of the aluminum mixed particle according to the particle motion feature includes:

[0107] S21, performing time sequence processing on the particle motion feature to obtain the motion time sequence data of the aluminum mixed particle;

[0108] S22, extracting the time domain information of the aluminum mixed particle according to the motion time sequence data;

[0109] S23, integrating the time domain information according to the time label corresponding to the particle motion feature to obtain the motion time domain information of the aluminum mixed particle.

[0110] In detail, the motion feature of the particle is arranged and recorded in time sequence to form the motion time sequence data of the particle, so that the motion state and change of the particle at different time points can be reflected; according to the motion time sequence data of the particle, the time domain information related to the aluminum mixed particle can be extracted, and these information can include the position, speed, acceleration and the like of the particle, and other features related to the motion of the particle; according to the time label corresponding to the particle motion feature, the extracted time domain information is corresponded and integrated with the corresponding time point, so that the generated motion time domain information of the aluminum mixed particle can be one-to-one corresponding to the original particle motion feature, and the motion of the particle at different time points can be accurately reflected.

[0111] In detail, the motion time domain information of the aluminum mixed particles is generated according to the particle motion characteristics, which can comprehensively describe the motion state of the aluminum mixed particles, and by extracting and integrating the time domain information, the related parameters such as the position, speed and acceleration of the aluminum mixed particles at different time points can be obtained, which is helpful for further analyzing and processing the motion trajectory of the particles, so as to realize the sorting and screening of aluminum and aluminum alloy.

[0112] S3, time-frequency conversion of the motion time domain information is performed by using a preset time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particles.

[0113] In the embodiment of the present application, the time-frequency conversion of the motion time domain information by using a preset time-frequency conversion algorithm to obtain the motion frequency domain information of the aluminum mixed particles means that the motion time domain information is input into the selected time-frequency conversion algorithm for calculation and processing, wherein the time-frequency conversion algorithm can convert the time domain information into frequency domain information, and reveal the frequency component and energy distribution of the particle motion signal.

[0114] In detail, the motion frequency domain information can provide important information about the particle motion frequency, periodicity and other frequency domain characteristics, which is helpful for further analyzing and processing the motion law of the particles.

[0115] In detail, the preset time-frequency conversion algorithm is:

[0116]

[0117] Wherein, X(g) represents the motion frequency domain information corresponding to the motion time domain information, x(n) represents the sample value of the motion time domain information in the time domain, n represents the identification of the sample value, g represents the frequency corresponding to the motion time domain information, π represents the circular constant, i represents the imaginary unit, and e represents the base number of natural logarithm.

[0118] S4, configuration parameters of a pulsatile shunt experiment device are generated according to the motion frequency domain information.

[0119] In the embodiment of the present application, the configuration parameters of the pulsatile shunt experiment device generated according to the motion frequency domain information include: Figure 3 As shown in the figure, the configuration parameters of the pulsatile shunt experiment device generated according to the motion frequency domain information include:

[0120] S31, frequency domain features of the motion frequency domain information are generated;

[0121] S32, a pulsatile frequency of the pulsatile shunt experiment device is generated according to the frequency domain features;

[0122] S33, air flow speed and sorting bin angle of the pulsatile shunt experiment device are generated according to the preset aluminum mixed particles;

[0123] S34, generating configuration parameters of the pulsating flow separation experimental device according to the pulsating frequency, the gas flow speed, and the sorting bin angle.

[0124] In detail, the motion frequency domain information refers to information describing the characteristics and distribution of aluminum mixed particle motion in the frequency domain; the pulsating frequency refers to the periodic variation frequency of the gas flow in the pulsating flow separation experimental device; the gas flow speed refers to the speed of the gas flow used to control the motion of particles in the pulsating flow separation experimental device; and the sorting bin angle refers to the angle of the bin opening used to separate particles in different directions in the pulsating flow separation experimental device.

[0125] In detail, the motion frequency domain information is analyzed to extract its frequency domain characteristics, where the frequency domain characteristics can include spectral shape, main frequency component, amplitude of frequency component, and the like; according to the frequency domain characteristics, the pulsating frequency of the pulsating flow separation experimental device during operation is determined, which is usually related to the characteristics and processing requirements of the particles, and an appropriate frequency can be selected to achieve effective separation effect; according to the characteristics of the aluminum mixed particles, such as particle size, density, and the like, the gas flow speed and the sorting bin angle of the pulsating flow separation experimental device are determined, where the gas flow speed determines the speed of the particles in the device, and the sorting bin angle determines the motion and separation of the particles in different directions; the configuration parameters of the pulsating flow separation experimental device, such as the period of the pulsating frequency, the size of the gas flow speed, and the adjustment of the sorting bin angle, are calculated and determined in combination with the pulsating frequency, the gas flow speed, and the sorting bin angle.

[0126] Further, the purpose of analyzing the motion frequency domain information is to understand the frequency characteristics of the aluminum mixed particle motion, which provides a basis for subsequent device configuration; the purpose of extracting the spectral shape, main frequency component, and the like from the motion frequency domain information is to obtain more detailed frequency domain information, so as to determine the working parameters of the device; the purpose of determining the pulsating frequency of the pulsating flow separation experimental device according to the frequency domain characteristics is to match the operating frequency of the device with the characteristics and processing requirements of the particles, so as to achieve effective separation effect; the purpose of determining the gas flow speed and the sorting bin angle according to the characteristics of the aluminum mixed particles is to control the motion trajectory of the particles in the device, so as to achieve the goal of separation and separation; the purpose of calculating the configuration parameters of the device according to the pulsating frequency, the gas flow speed, and the sorting bin angle is to determine the best working state, and to ensure the efficient operation and good separation effect of the separation equipment.

[0127] For example, if aluminum and aluminum alloy separation based on pulsating gas flow separation is to be performed, the motion time domain information of aluminum and aluminum alloy particles needs to be obtained first and converted into motion frequency domain information. By analyzing the frequency domain information, spectral shape, main frequency component, and the like can be extracted. Assuming that the analysis result shows that the main frequency component is concentrated near 10 Hz, then the pulsating frequency can be determined as 10 Hz.

[0128] Next, based on the characteristics of aluminum and aluminum alloy particles such as particle size, density, etc., the airflow velocity and the sorting bin angle of the pulsating flow separation experimental device are determined. For example, aluminum particles are lighter than aluminum alloy particles, and may require lower airflow velocity and smaller sorting bin angle to achieve effective separation. According to specific conditions and requirements, appropriate airflow velocity and sorting bin angle can be calculated.

[0129] Finally, based on the determined pulsating frequency, airflow velocity and sorting bin angle, the configuration parameters of the pulsating flow separation experimental device are generated, such as setting the pulsating frequency to 10 Hz, the airflow velocity to 2 m / s, and the sorting bin angle to 30 degrees. By adjusting and controlling the sorting equipment according to these configuration parameters, effective separation and sorting of aluminum and aluminum alloy particles can be achieved.

[0130] S5, parameter configuration is performed on the pulsating flow separation experimental device according to the configuration parameters, and a configured pulsating flow separation experimental device is obtained, and the target aluminum mixture is separated by using the configured pulsating flow separation experimental device.

[0131] In the embodiments of the present application, the parameter configuration performed on the pulsating flow separation experimental device according to the configuration parameters to obtain the configured pulsating flow separation experimental device comprises:

[0132] The pulsating frequency of the pulsating flow separation experimental device is set according to the configuration parameters to obtain a first-level pulsating flow separation device;

[0133] The airflow velocity of the first-level pulsating flow separation device is adjusted to obtain a second-level pulsating flow separation device;

[0134] The sorting bin angle of the second-level pulsating flow separation device is adjusted to obtain the configured pulsating flow separation experimental device.

[0135] In detail, the first-level pulsating flow separation device refers to a separation device that is set according to the pulsating frequency and has an initial airflow velocity; the second-level pulsating flow separation device refers to a separation device that is adjusted in airflow velocity and has an adjusted sorting bin angle; the pulsating frequency setting refers to determining the working frequency of the pulsating flow separation device according to the configuration parameters; the airflow velocity adjustment refers to adjusting the velocity of the airflow in the pulsating flow separation device according to the configuration parameters; and the sorting bin angle adjustment refers to adjusting the angle of the sorting bin in the pulsating flow separation device according to the configuration parameters.

[0136] In detail, according to the pulsation frequency determined in the configuration parameter, the pulsation frequency of the pulsation separation experimental device is set, which can be realized by adjusting the vibration source or controlling the operation of the equipment, and the pulsation frequency is set to make the device run at a certain frequency to meet the requirements of particle separation; based on the airflow speed determined in the configuration parameter, the airflow speed of the first-stage pulsation separation device with set pulsation frequency is adjusted, and by adjusting the air flow, fan speed or other related parameters, the size of the airflow speed can be controlled, and the airflow speed is adjusted to make the particles move at an appropriate speed in the device and achieve the preliminary separation effect; according to the separation bin angle determined in the configuration parameter, the separation bin angle of the first-stage pulsation separation device after the airflow speed adjustment is adjusted, and the separation bin angle is usually adjusted by mechanical adjustment method to change the movement trajectory and separation effect of particles in different directions, and by adjusting the separation bin angle, finer separation and separation effect can be achieved.

[0137] In detail, assuming that the configuration parameter determines the pulsation frequency as 10Hz, the airflow speed as 2m / s, and the separation bin angle as 30 degrees. First, according to the configuration parameter, the working frequency of the pulsation separation device is set to 10Hz. Then, the airflow speed is adjusted to reach 2m / s to achieve the appropriate movement speed of particles in the device. Finally, by adjusting the separation bin angle to 30 degrees, the movement path of particles in different directions can be changed to achieve better separation effect.

[0138] For example, for aluminum and aluminum alloy separation, the pulsation separation experimental device after parameter configuration according to the configuration parameter can be operated by setting the pulsation frequency of 10Hz, the airflow speed of 2m / s and the separation bin angle of 30 degrees. In the device, aluminum particles are relatively easier to be thrown away due to their lightness, while aluminum alloy particles remain in the device. In this way, the separated products can better meet the separation requirements of aluminum and aluminum alloy.

[0139] In the embodiment of the present application, the material separation of the target aluminum mixture by the pulsation separation experimental device completed by the configuration refers to introducing the target aluminum mixture into the pulsation separation experimental device through the feeding device, setting the pulsation frequency to 10Hz, adjusting the airflow speed to 2m / s to control the movement of particles in the device, adjusting the separation bin angle to 30 degrees to make particles with different densities better separated in the separation process, and in the pulsation separation experimental device, aluminum particles are relatively easier to be thrown away due to their lightness, while other impurity particles remain in the device, and the separated aluminum particles are collected as products, thereby realizing the material separation of the target aluminum mixture.

[0140] The embodiment of the present application can accurately capture and record the motion characteristics such as the position and speed of the particles by generating the particle motion imaging of the preset aluminum mixed particles, so as to provide accurate and detailed data basis for the subsequent sorting process, convert the obtained motion time domain information into motion frequency domain information by using a preset time-frequency conversion algorithm, the conversion can extract the frequency characteristics of the particle motion, classify and distinguish different particles, generate the configuration parameters of the pulsating flow separation experimental device according to the motion frequency domain information, the configuration parameters are determined according to the particle motion characteristics and frequency characteristics, so that the separation device can better sort the target aluminum mixture, and the material separation is carried out by using the completed pulsating flow separation experimental device, so that the automatic separation is realized, the speed and efficiency of the separation are greatly improved, the demand for human resources is reduced, a large amount of particles can be processed in a short time, meanwhile, the separation device can be selectively separated according to the accurate information, the accuracy and selectivity of the separation are improved, compared with the traditional separation method, the possibility of misjudgment and wrong separation is reduced, so that the aluminum and aluminum alloy separation method based on the pulsating airflow separation is provided, and the problem of low efficiency of the aluminum and aluminum alloy separation can be solved.

[0141] As Figure 4 shown, it is a functional module diagram of the aluminum and aluminum alloy separation device based on the pulsating airflow separation provided by the embodiment of the present application.

[0142] The aluminum and aluminum alloy separation device based on the pulsating airflow separation 100 can be installed in an electronic device. According to the functions to be realized, the aluminum and aluminum alloy separation device based on the pulsating airflow separation 100 can include an imaging acquisition module 101, a time domain information generation module 102, a time-frequency conversion module 103, a configuration parameter module 104 and a material separation module 105. The modules of the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, and are stored in the memory of the electronic device.

[0143] In the embodiment, the functions of each module / unit are as follows:

[0144] The imaging acquisition module 101 is used to generate the particle motion imaging of the preset aluminum mixed particles;

[0145] The time domain information generation module 102 is used to generate the particle motion characteristics of the aluminum mixed particles according to the particle motion imaging, and generate the motion time domain information of the aluminum mixed particles according to the particle motion characteristics;

[0146] The time-frequency conversion module 103 is used to perform time-frequency conversion on the motion time domain information by using a preset time-frequency conversion algorithm, so as to obtain the motion frequency domain information of the aluminum mixed particles, wherein the preset time-frequency conversion algorithm is:

[0147]

[0148] wherein, X(g) represents the motion frequency domain information corresponding to the motion time domain information, x(n) represents a sample value of the motion time domain information in the time domain, n represents an identifier of the sample value, g represents a frequency corresponding to the motion time domain information, represents a circular constant, i represents an imaginary unit, and e represents a base number of a natural logarithm;

[0149] The configuration parameter module 104 is configured to generate configuration parameters of the pulsatile split-flow experimental device according to the motion frequency domain information.

[0150] The substance sorting module 105 is configured to perform parameter configuration on the pulsatile split-flow experimental device according to the configuration parameters, to obtain a completed pulsatile split-flow experimental device, and to perform substance sorting on the target aluminum mixture by using the completed pulsatile split-flow experimental device.

[0151] In several embodiments provided in the present application, it should be understood that the disclosed method and device can be implemented in other ways. For example, the above-described device embodiments are only schematic, and the division of the modules is only a logical function division, and actual implementation can have another division manner.

[0152] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment.

[0153] In addition, each functional module in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0154] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0155] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any additional reference signs in the claims should not be considered as limiting the claims involved.

[0156] The embodiments of the present application can acquire and process related data based on artificial intelligence technology. The artificial intelligence (AI) is to use a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use the knowledge to obtain the best results.

[0157] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. The plurality of units or devices stated in the device claim can also be implemented by one unit or device through software or hardware. The words "first", "second" and the like are used to indicate names and not to indicate any particular order.

[0158] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method of sorting aluminum and aluminum alloys based on pulsating airflow separation, characterized by, The method comprises: generating particle motion imaging of preset aluminum mixed particles; generating particle motion features of the aluminum mixed particles according to the particle motion imaging, and generating motion time domain information of the aluminum mixed particles according to the particle motion features; performing time-frequency conversion on the motion time domain information by using a preset time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particles, wherein the preset time-frequency conversion algorithm is: ； wherein, represents the motion frequency domain information corresponding to the motion time domain information, represents a sample value of the motion time domain information in the time domain, represents an identification of the sample value, represents a frequency corresponding to the motion time domain information, represents the number pi, represents the imaginary unit, represents the base of the natural logarithm; generating configuration parameters of a pulsating flow separation experimental device according to the motion frequency domain information; performing parameter configuration on the pulsating flow separation experimental device according to the configuration parameters to obtain a completed pulsating flow separation experimental device, and performing material separation on a target aluminum mixture by using the completed pulsating flow separation experimental device, the generating configuration parameters of a pulsating flow separation experimental device according to the motion frequency domain information comprises: generating frequency domain features of the motion frequency domain information; generating a pulsating frequency of the pulsating flow separation experimental device according to the frequency domain features; generating airflow speed and separation bin angle of the pulsating flow separation experimental device according to preset aluminum mixed particles; generating configuration parameters of the pulsating flow separation experimental device according to the pulsating frequency, the airflow speed and the separation bin angle.

2. The pulsating airflow based sorting method of aluminum and aluminum alloys as claimed in claim 1, wherein, The generating particle motion imaging of preset aluminum mixed particles comprises: generating an imaging system of preset aluminum mixed particles; recording the aluminum mixed particles in motion according to the imaging system to obtain particle motion imaging of the aluminum mixed particles.

3. The pulsating airflow based sorting method of aluminum and aluminum alloys as claimed in claim 1, wherein, The generating particle motion features of the aluminum mixed particles according to the particle motion imaging comprises: performing smoothing filtering on the particle motion imaging to obtain a denoising image of the particle motion imaging; performing edge detection on the denoising image to obtain edge features of the denoising image; performing corner point detection on the denoising image to obtain corner point features of the denoising image; generating particle motion features of the aluminum mixed particles according to the edge features and the corner point features.

4. The pulsating gas flow based sorting method of aluminum and aluminum alloys as claimed in claim 3 wherein, The performing smoothing filtering on the particle motion imaging to obtain a denoising image of the particle motion imaging comprises: performing smoothing filtering on the particle motion imaging by using a smoothing filtering algorithm to obtain a denoising image of the particle motion imaging. ； wherein denotes a filtered pixel value of the pixel point of the particle motion imaging after smoothing filtering, denotes a pixel point of the particle motion imaging, denotes a standard deviation of the pixel point, denotes an expectation of the pixel point, denotes an exponential function.

5. The pulsating gas flow based sorting method of aluminum and aluminum alloys as claimed in claim 3 wherein, The performing corner point detection on the denoising image to obtain corner point features of the denoising image comprises: generating a feature descriptor of the denoising image; performing sliding window analysis on the denoising image according to the feature descriptor to obtain primary corner points of the denoising image; performing non-maximum suppression processing on the primary corner points to obtain locally optimal corner points of the primary corner points; generating corner point features of the denoising image by using the locally optimal corner points and a preset corner point threshold.

6. The pulsating gas flow based sorting method of aluminum and aluminum alloys as claimed in claim 3 wherein, The generating particle motion features of the aluminum mixed particles according to the edge features and the corner point features comprises: generating real-time positions of the aluminum mixed particles according to the edge features and the corner point features; performing particle tracking on the aluminum mixed particles by using the real-time positions to obtain motion trajectories of the aluminum mixed particles; generating speed features of the aluminum mixed particles according to the motion trajectories; Generate an acceleration feature of the aluminum mixed particles by using the speed feature and the motion trajectory; Generate a motion feature of the aluminum mixed particles according to the speed feature and the acceleration feature.

7. The pulsating gas flow based sorting method of aluminum and aluminum alloys as claimed in claim 1 wherein, The motion time domain information of the aluminum mixed particles is generated according to the particle motion feature, including: Time sequence processing is performed on the particle motion feature to obtain motion time sequence data of the aluminum mixed particles; Time domain information of the aluminum mixed particles is extracted according to the motion time sequence data; The time domain information is integrated according to the time label corresponding to the particle motion feature to obtain the motion time domain information of the aluminum mixed particles.

8. The pulsating airflow separation based aluminum and aluminum alloy separation method of any one of claims 1 to 7, wherein, The parameter configuration of the pulsating flow separation experimental device according to the configuration parameter is obtained, including: The pulsating frequency of the pulsating flow separation experimental device is set according to the configuration parameter to obtain a first-stage pulsating flow separation device; The airflow speed of the first-stage pulsating flow separation device is adjusted to obtain a second-stage pulsating flow separation device; The sorting bin angle of the second-stage pulsating flow separation device is adjusted to obtain the completed pulsating flow separation experimental device.

9. An apparatus for sorting aluminum and aluminum alloys based on pulsating airflow separation, characterized in that, The device includes: An imaging acquisition module for generating particle motion imaging of the preset aluminum mixed particles; A time domain information generation module for generating particle motion features of the aluminum mixed particles according to the particle motion imaging, and generating motion time domain information of the aluminum mixed particles according to the particle motion features; a time-frequency conversion module, configured to perform time-frequency conversion on the motion time domain information by using a preset time-frequency conversion algorithm to obtain motion frequency domain information of the aluminum mixed particles, wherein the preset time-frequency conversion algorithm is: ; wherein, represents a motion frequency domain information corresponding to the motion time domain information, represents a sample value of the motion time domain information in a time domain, represents an identification of the sample value, represents a frequency corresponding to the motion time domain information, represents a value of pi, represents an imaginary unit, represents a base number of a natural logarithm; A configuration parameter module for generating configuration parameters of a pulsating flow separation experimental device according to the motion frequency domain information; A material sorting module for parameter configuring the pulsating flow separation experimental device according to the configuration parameters to obtain a completed pulsating flow separation experimental device, and sorting target aluminum mixed materials by using the completed pulsating flow separation experimental device, The configuration parameters of the pulsating flow separation experimental device are generated according to the motion frequency domain information, including: Generate the frequency domain feature of the motion frequency domain information; Generate the pulsating frequency of the pulsating flow separation experimental device according to the frequency domain feature; Generate the airflow speed and the sorting bin angle of the pulsating flow separation experimental device according to the preset aluminum mixed particles; Generate the configuration parameters of the pulsating flow separation experimental device according to the pulsating frequency, the airflow speed and the sorting bin angle.

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