LU102638B1 - A coal gangue identifying and separating device based on machine vision and capacitance fusion - Google Patents
A coal gangue identifying and separating device based on machine vision and capacitance fusion Download PDFInfo
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- LU102638B1 LU102638B1 LU102638A LU102638A LU102638B1 LU 102638 B1 LU102638 B1 LU 102638B1 LU 102638 A LU102638 A LU 102638A LU 102638 A LU102638 A LU 102638A LU 102638 B1 LU102638 B1 LU 102638B1
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- coal gangue
- coal
- electrode plates
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- aluminum electrode
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/344—Sorting according to other particular properties according to electric or electromagnetic properties
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/22—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance
- G01N27/221—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance by investigating the dielectric properties
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Abstract
The invention relates to a coal gangue identifying and separating device based on machine vision and capacitance fusion. The coal gangue identifying and separating device comprises a holder arranged on a rack of a belt conveyor and used for installing accessories; a detection unit, a conveying unit, an electric unit and a pneumatic unit are connected with the rack through the holder, and arranged around the rack rationally; the effective thickness of a medium and the position information of the contour center of the medium are obtained through a CCD camera, and coal gangue is identified in combination with the component voltage between the two ends of a resistor; a nozzle can be accurately controlled according to the position information of the contour center and in combination with the running speed of the conveyor belt, so that the coal gangue is separated; the problems of uneasy feature extraction, low identification accuracy and high probability of wrong separation of the coal gangue are solved effectively; and the device is high in processing speed and timeliness, and the high identification accuracy can be achieved by using less recognition features.
Description
Description LU102638 A coal gangue identifying and separating device based on machine vision and capacitance fusion Technical Field The invention relates to the field of a coal gangue photometric sorting, in particular to a coal gangue identifying and separating method and device based on machine vision and capacitance fusion.
Background A large quantity of coal gangue can be produced in the coal mining process, and mixed in coal, not only can the coal combustion quality be reduced, but also the exhaust emission can be increased. The coal gangue shall be separated from the coal in order to improve the coal combustion quality and reduce emission of toxic and harmful gases.
Coal gangue identification is the key technology of coal gangue separation. According to different physicochemical properties of the coal and coal gangue, the density, gray level, hardness, energy absorption, reflection spectrum and the like can be regarded as recognition features, and characteristic values are obtained through sensors; and a matching neural network model is selected for operation processing of the characteristic values, and the pattern recognition is finished. However, these traditional coal gangue identification methods are mostly in the test stage, and are hard to overcome actual production environment; and the feature extraction is difficult.
Summary of the Invention Specific to the shortcomings of the prior art, the invention aims to provide a coal gangue identifying and separating method and device based on machine vision and capacitance fusion. The problems of uneasy feature extraction of the coal and coal gangue, low identification accuracy, large wrong separation coefficient, energy waste and the like are solved; and the device has the features of high identification accuracy and timeliness, etc.
1
Description
The following technical scheme is adopted to achieve the purposes of the HU102638 invention:
A coal gangue identifying and separating device based on machine vision and capacitance fusion comprises a holder arranged on a rack of a belt conveyor and used for installing accessories; a detection unit, a conveying unit, an electric unit and a pneumatic unit are connected with the rack through the holder, and arranged around the belt conveyor rationally to achieve the functions of conveying, detection and separation through a control unit; the conveying unit comprises a support seat, a main roller, a conveyor belt and an auxiliary roller, and the electric unit comprises a servo motor, a driving wheel, a V-type belt and a driven wheel; the servo motor is fixedly installed on the rack, and the driving wheel is connected with the servo motor; the V-type belt is connected with the driving wheel and the driven wheel, and the driven wheel is installed on the main roller; the conveyor belt is connected with the main roller and the auxiliary roller, and the main roller and the auxiliary roller are installed on the rack through the support seat;
The holder comprises a support frame arranged on the right side of a head rack of a belt conveyor, a support column A arranged on the left side of the head rack of the belt conveyor, and a support column B arranged on the left side of a tail rack of the belt conveyor, and the detection unit comprises a detection unit composed of a pair of aluminum electrode plates, a signal source, a resistor and a data recorder, and a CCD camera; the two aluminum electrode plates are installed on the support frame and the support column A separately and symmetrically in parallel, and the CCD camera is installed on a cross beam at the upper end of the support frame above the middle of the two aluminum electrode plates;
The pneumatic unit comprises an air pump station, a high pressure pipe, a solenoid valve and a nozzle, and the nozzle and the solenoid valve are fixedly connected and arranged on the support column B; the high pressure pipe is connected with the air pump station and the solenoid valve, and the solenoid valve is controlled by the control unit to open and close, so that the high pressure gas is sprayed out through the nozzle as required;
2
Description The detection unit comprises a detection unit composed of a pair of aluminum HU102638 electrode plates, a signal source, a resistor and a data recorder, and a CCD camera; the two aluminum electrode plates are installed on the support frame and the support column A separately and symmetrically, and the CCD camera is installed on the cross beam at the upper end of the support frame above the middle of the two aluminum electrode plates.
Preferably, the control unit comprises a PC and a STM32 single chip microcomputer; the PC is used for developing a human-computer interaction platform based on LabVIEW, and can communicate with the STM32 single chip microcomputer in real time; and program downloading operation can be performed for the STM32 single chip microcomputer through the PC; Preferably, the STM32 single chip microcomputer is connected with the data recorder and the CCD camera through data cables via built-in GPIO, and data uploaded from the data recorder and the CCD camera can be obtained through the GPIO; Preferably, the STM32 single chip microcomputer is connected with the servo motor and the solenoid valve through the built-in GPIO to send drive instructions to the servo motor and the solenoid valve; Preferably, the nozzle is made of high pressure resistant materials with high performance, and the installation position of the nozzle is higher than the conveyor belt; and it is ensured that the nozzle faces a vertical plane, and is orthogonal to the vertical plane in the moving direction of the conveyor belt; Preferably, the shooting direction of the CCD camera is perpendicular to the plane of the conveyor belt during installation; Preferably, when the rack is installed on the ground, damping measures need to be taken according to the actual conditions, and the influence of vibration on the accuracy is reduced; A coal gangue identifying and separating method based on machine vision and capacitance fusion comprises the following steps: S1, properly installing assemblies of the rack and the conveying unit according 3
Description to an assembly drawing, controlling the servo motor through the control unit, and HU102638 ensuring that the conveyor belt works properly.
S2, installing the two aluminum electrode plates, the CCD camera, the nozzle and the solenoid valve on the holder as required; S3, installing other assemblies of the device, starting the device, performing debugging and correction, and ensuring that the device works properly under the control of the control unit; S4, putting blocky coal and coal gangue on the conveyor belt in sequence; when the coal and coal gangue pass through the position between the two aluminum electrode plates, the voltage data between the two ends of the resistor can be uploaded to the STM32 single chip microcomputer through the data recorder, and meanwhile the image composed of the two aluminum electrode plates and the coal or coal gangue can be further uploaded to the STM32 single chip microcomputer; the average thickness of the coal or the coal gangue in the current image is obtained quickly, so that whether the current medium is the coal or the coal gangue can be judged according to the voltage between the two ends of the resistor and the effective thickness of the coal or the coal gangue in the current image; Preferably, in the S4, for the voltage data and image, due to mechanical vibration and interference of electromagnetic waves, wavelet soft threshold denoising procedures shall be further embedded in the STM32 single chip microcomputer; after denoising of the voltage data and the image, feature extraction and pattern recognition are performed through a convolutional neural network in the STM32 single chip microcomputer; Preferably, in the S2, the distance between the two aluminum electrode plates is d, and the effective relative area of the electrode plates is S; when no coal or coal gangue passes through the aluminum electrode plates, the medium between the aluminum electrode plates is air; the dielectric constant of the air is €, ; at the moment, a capacitor is formed by the two aluminum electrode plates and the air, and under the condition of considering stray capacitance generated by the edge effect, the capacitance is: 4
Description LU102638 C, = E15S(1+ß) (1) d wherein, ß is a deviation generated by ignoring the edge effect, and can be obtained through Maxwell software according to the capacitor structure;
When the coal or the coal gangue passes through the aluminum electrode plates, in the S4, if the effective thickness of the medium is h, the effective thickness of the air medium is (d-h), and the dielectric constant of an unknown medium is set to &,; at the moment, a composite dielectric capacitor is formed by attaching the unknown medium to the air; in this way, equivalently the two capacitors are connected in series.
At the moment, the capacitance C, of the capacitor meets:
11,1 2) Co Cair Coangue
_ E1+E2S(1+B) Co = 1 +h+e,+(d—h) (3)
In case the interior of the detection circuit communicates with the signal source as follows:
Us = AV2 sin(2xft + ¢) (4) where, A is the amplitude of the introduced AC voltage; f is the frequency of the AC voltage; t represents time; @ is a starting phase angle, ¢ = 0;
It can be known from the Kirchhoff voltage law that a RC bleeder circuit is formed by the capacitor and the resistor, and the resistance in the S4 is R; the voltage between the two ends is Ur, and the relation between Ur and C, obtained with a phase method is:
_ A2mfRC, Ur = Transat >
In combination with the formula (3) and the formula (5), the dielectric constant of the unknown medium is &;:
UY» h 27fR |A2-U% ! 6 Ey —_— 27 esp) ——E—(a-h) © 27 fR [42-02
It can be known from the formula (6), under the condition that the electrode plate structure parameters and electrical parameter of the capacitor are determined, the
Description dielectric constant of the unknown medium is only related to the voltage Upbetween HU102638 the two ends of the resistor and the effective thickness h of the medium, and can be calculated after the Up and h are measured; then, through comparison between the dielectric constant of the unknown medium and the dielectric constant of the coal and the coal gangue, the property of the medium can be identified; Preferably, in the S4, the image composed of the two aluminum electrode plates and the coal or coal gangue contains the position information of the coal or coal gangue, and the distance that the measured contour center of the coal or gangue gets across the center line of the two aluminum electrode plates is measured as Li, and the horizontal distance between the center line of the two aluminum electrode plates and the nozzle can be measured as L during installation; the running speed of the conveyor belt is set to v through the STM32 single chip microcomputer, and the required time interval from the point that the medium is detected to the point that the high pressure gas is sprayed out through the nozzle is: T= 7 7) The opening instruction is sent to the solenoid valve through the STM32 single chip microcomputer according to the time interval T, and the high pressure gas is sprayed out from the nozzle, so that the coal gangue is separated from the coal.
Beneficial effects:
1. The dielectric features of the coal or coal gangue and the position information are extracted through the CCD camera and the data recorder, and the problems of uneasy feature extraction of the coal gangue, low identification accuracy, large wrong separation coefficient and the like are solved.
2. The device is less in extraction features through the CCD camera and the data recorder, and high in processing speed and timeliness.
3. The recognition algorithm of the method is obtained through theoretical reasoning, and high identification accuracy can be reached through less recognition features.
Brief Description of the Drawings 6
Description Figure 1 is the overall structure diagram of the device; HU102638 Figure 2 is the partial structure diagram of the device; Figure 3 is the schematic diagram captured by the camera of the device; Figure 4 is the detection circuit diagram of the device; Figure 5 is the equivalent circuit diagram of the detection circuit of the device; Figure 6 is the local top view of the device; Detailed Description of the Preferred Embodiments As shown in Figure 1 and Figure 2, a coal gangue identifying and separating device based on machine vision and capacitance fusion comprises a holder 11 arranged on a rack 10 and used for installing accessories; a detection unit 22, a conveying unit 23, an electric unit 24 and a pneumatic unit 25 are connected with the rack 10 through the holder 11, and arranged around the rack 10 rationally to achieve the functions of conveying, detection and separation through a control unit 26; the conveying unit 23 comprises a support 105, a main roller 16, a conveyor belt 17 and an auxiliary roller 106, and the electric unit 24 comprises a servo motor 12, a driving wheel 13, a V-type belt 14 and a driven wheel 15; the servo motor 12 is fixedly installed on the rack 10, and the driving wheel 13 is connected with the servo motor 12; the V-type belt 14 is connected with the driving wheel 13 and the driven wheel 15, and the driven wheel 15 is installed on the main roller 16; the conveyor belt 17 is connected with the main roller 16 and the auxiliary roller 106, and the main roller 16 and the auxiliary roller 106 are installed on the rack 10 through the support 105.
The holder 11 comprises a support frame 102 arranged on the right side of a head rack of a belt conveyor, a circular support column 103 arranged on the left side of the head rack of the belt conveyor, and a rectangular support column 104 arranged on the left side of a tail rack of the belt conveyor, and the detection unit 22 comprises a detection unit composed of a pair of aluminum electrode plates 18, a signal source 21, a resistor 20 and a data recorder 2, and a CCD camera 19 ; the two aluminum electrode plates 18 are installed on the circular support column 103 separately and symmetrically in parallel, and the CCD camera 19 is installed a cross beam 101 at the upper end of the support frame 11 above the middle of the two aluminum 7
Description electrode plates 18; HU102638 The pneumatic unit 25 comprises an air pump station 6, a high pressure pipe 7, a solenoid valve 4 and a nozzle 5, and the nozzle 5 and the solenoid valve 4 are fixedly connected and arranged on the rectangular support column 104; the high pressure pipe 7 is connected with the air pump station 6 and the solenoid valve 4, and the solenoid valve 4 is controlled by the control unit 26 to open and close, so that the high pressure gas is sprayed out through the nozzle 5; The control unit comprises a PC 1 and a STM32 single chip microcomputer 3; the PC 1 is used for developing a human-computer interaction platform based on LabVIEW, and can communicate with the STM32 single chip microcomputer 3 in real time; and program downloading operation can be performed for the STM32 single chip microcomputer 3 through the PC 1; The STM32 single chip microcomputer 3 is connected with the data recorder 2 and the CCD camera 19 through data cables via built-in GPIO, and data uploaded from the data recorder 2 and the CCD camera 19 can be obtained through the GPIO; The STM32 single chip microcomputer 3 is connected with the servo motor 12 and the solenoid valve 4 through the built-in GPIO to send drive instructions to the servo motor 12 and the solenoid valve 4; the nozzle 5 is made of high pressure resistant materials with high performance, and the installation position of the nozzle 5 is higher than the conveyor belt 17; and it is ensured that the nozzle 5 faces a vertical plane, and is orthogonal to the vertical plane in the moving direction of the conveyor belt 17; the shooting direction of the CCD camera 19 is perpendicular to the plane of the conveyor belt 17 during installation; when the rack 10 is installed on the ground, damping measures need to be taken according to the actual conditions, and the influence of vibration on the accuracy is reduced; A coal gangue identifying and separating method based on machine vision and capacitance fusion comprises the following steps: S1, properly installing assemblies of the rack 10 and the conveying unit 23 according to an assembly drawing, controlling the servo motor 12 through the control unit 26, and ensuring that the conveyor belt 17 works properly.
8
Description
S2, installing the two aluminum electrode plates 18, the CCD camera 19, the LU102638 nozzle 5 and the solenoid valve 4 on the holder 11 as required;
S3, installing other assemblies of the device, starting the device, performing debugging and correction, and ensuring that the device works properly under the control of the control unit 26;
S4, putting blocky coal 9 and coal gangue 8 on the conveyor belt 17 in sequence; when the coal 9 and coal gangue 8 pass through the position between the two aluminum electrode plates 18, the voltage data between the two ends of the resistor 20 can be uploaded to the STM32 single chip microcomputer 3 through the data recorder 2, and meanwhile the image composed of the two aluminum electrode plates 18 and the coal 9 or coal gangue 8 can be further uploaded to the STM32 single chip microcomputer 3, and is shown in Figure 3; the average thickness of the coal 9 or the coal gangue 8 in the current image is obtained quickly, so that whether the current medium is the coal 9 or the coal gangue 8 can be judged according to the voltage between the two ends of the resistor 20 and the effective thickness of the coal 9 or the coal gangue 8 in the current image;
In the S4, for the voltage data and image, due to mechanical vibration and interference of electromagnetic waves, wavelet soft threshold denoising procedures shall be further embedded in the STM32 single chip microcomputer 3; after denoising of the voltage data and the image, feature extraction and pattern recognition are performed through a convolutional neural network in the STM32 single chip microcomputer 3;
In the S2, the distance between the two aluminum electrode plates 18 is d, and the effective relative area of the electrode plates is S; when no coal 9 or coal gangue 8 passes through the aluminum electrode plates 18, the medium between the aluminum electrode plates 18 is air; the dielectric constant of the air is &;; at the moment, a capacitor is formed by the two aluminum electrode plates 18 and the air, and under the condition of considering stray capacitance generated by the edge effect, the capacitance is:
9
Description LU102638 c, = 2200 (D d wherein, ß is a deviation generated by the edge effect, and can be obtained through Maxwell software according to the capacitor structure.
When the coal 9 or the coal gangue 8 passes through the aluminum electrode plates 18, in the S4, if the effective thickness of the medium is h, the effective thickness of the air medium is (d-h), and the dielectric constant of an unknown medium is set to €»; it is known from Figure 4 and Figure 5, at the moment, a composite dielectric capacitor 180 is formed by attaching the unknown medium to the air; in this way, equivalently the air dielectric capacitor 181 and the unknown dielectric capacitor 182 are connected in series. At the moment, the capacitance 180C, of the capacitor meets: 11,1 2) Co Cair Coangue _ E1+E2S(1+B) Co = 1 +h+e,+(d—h) (3) In case the interior of the detection circuit communicates with the signal source 21 as follows: Us = AV2 sin(2xft + ¢) (4) where, A is the amplitude of the introduced AC voltage; f is the frequency of the AC voltage; t represents time; @ is a starting phase angle, ¢ = 0; It can be known from the Kirchhoff voltage law that a RC bleeder circuit is formed by the capacitor 180 and the resistor 20, and the resistance 20 value in the S4 is R; the voltage between the two ends is Ur, and the relation between Ur and Cp obtained with a phase method is: _ A2mfRC, Ur = Transat > In combination with the formula (3) and the formula (5), the dielectric constant of the unknown medium is &;: 2TfR on 6 © sp © 27fR |A2-U%
Description It can be known from the formula (6), under the condition that the electrode plate HU102638 structure parameters and electrical parameter of the capacitor 180 are determined, the dielectric constant of the unknown medium is only related to the voltage Upbetween the two ends of the resistor 20 and the effective thickness h of the medium, and can be calculated after the Up and h are measured; then, through comparison between the dielectric constant of the unknown medium and the dielectric constant of the coal 9 and the coal gangue 8, the property of the medium can be identified; In the S4, the image composed of the two aluminum electrode plates 18 and the coal 9 or coal gangue 8 contains the position information of the coal 9 or coal gangue 8, and is shown in Figure 6, and the distance that the measured contour center of the coal 9 or coal gangue 8 gets across the center line of the two aluminum electrode plates 18 is measured as Li, and the horizontal distance between the center line of the two aluminum electrode plates 18 and the nozzle 5 can be measured as L during installation; the running speed of the conveyor belt 17 is set to v through the STM32 single chip microcomputer 3, and the required time interval from the point that the medium is detected as the coal gangue 8 to the point that the high pressure gas is sprayed out through the nozzle 5 is: T =" (7) The opening instruction is sent to the solenoid valve 4 through the STM32 single chip microcomputer 3 according to the time interval T, and the high pressure gas 1s sprayed out from the nozzle 5, and acts on the coal gangue 8, so that the coal gangue 8 is separated from the coal.
11
Claims (8)
1. A coal gangue identifying and separating device based on machine vision and HU102638 capacitance fusion, characterized in that it comprises a holder arranged on a rack and used for installing accessories; a detection unit, a conveying unit, an electric unit and a pneumatic unit are connected with the rack through the holder, and arranged around the rack rationally to achieve the functions of conveying, detection and separation through a control unit; the conveying unit comprises a support seat, a main roller, a conveyor belt and an auxiliary roller, and the electric unit comprises a servo motor, a driving wheel, a V-type belt and a driven wheel; the servo motor is fixedly installed on the rack, and the driving wheel is connected with the servo motor; the V-type belt is connected with the driving wheel and the driven wheel, and the driven wheel is installed on the main roller; the conveyor belt is connected with the main roller and the auxiliary roller, and the main roller and the auxiliary roller are installed on the rack through the support seat; The holder comprises a support frame arranged on the right side of a head rack of a belt conveyor, a circular support column arranged on the left side of the head rack of the belt conveyor, and a rectangular support column arranged on the left side of a tail rack of the belt conveyor, and the detection unit comprises a detection unit composed of a pair of aluminum electrode plates, a signal source, a resistor and a data recorder, and a CCD camera; the two aluminum electrode plates are installed on the circular support column separately and symmetrically in parallel, and the CCD camera is installed a cross beam at the upper end of the support frame above the middle of the two aluminum electrode plates; The pneumatic unit comprises an air pump station, a high pressure pipe, a solenoid valve and a nozzle, and the nozzle and the solenoid valve are fixedly connected and arranged on the rectangular support column; the high pressure pipe is connected with the air pump station and the solenoid valve, and the solenoid valve is controlled by the control unit to open and close, so that high pressure gas is sprayed out through the nozzle.
2. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 1, characterized in that the control unit 12
Claims comprises a PC and a STM32 single chip microcomputer; the PC is used for HU102638 developing a human-computer interaction platform based on LabVIEW, and can communicate with the STM32 single chip microcomputer through a serial port in real time; and program downloading operation can be performed for the STM32 single chip microcomputer through the PC.
3. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 1, characterized in that the STM32 single chip microcomputer is connected with the data recorder and the CCD camera through data cables via built-in GPIO, and data uploaded from the data recorder and the CCD camera can be obtained through the GPIO.
4. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 1, characterized in that the STM32 single chip microcomputer is connected with the servo motor and the solenoid valve through the built-in GPIO to send drive instructions to the servo motor and the solenoid valve.
5. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 1-4, characterized in that the method comprises the following steps: S1, properly installing assemblies of the rack and the conveying unit according to an assembly drawing, controlling the servo motor through the control unit, and ensuring that the conveyor belt works properly.
S2, installing the two aluminum electrode plates, the CCD camera, the nozzle and the solenoid valve on the holder as required; S3, installing other components and debugging; S4, putting blocky coal and coal gangue on the conveyor belt in sequence, and obtaining the average thickness of the coal or the coal gangue in the current image when the coal and the coal gangue pass through the position between the two aluminum electrode plates, so that whether the current medium is the coal or the coal gangue can be judged according to the voltage between the two ends of the resistor and the effective thickness of the coal or the coal gangue in the current image.
6. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 5, characterized in that in the S4, for the 13
Claims Kl [ZL voltage data and the image, due to mechanical vibration and interference of HU102638 electromagnetic waves, wavelet soft threshold denoising procedures shall be further embedded in the STM32 single chip microcomputer; after denoising of the voltage data and the image, feature extraction and pattern recognition are performed through a convolutional neural network in the STM32 single chip microcomputer;
7. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 5, characterized in that in the S2, the distance between the two aluminum electrode plates is d, and the effective relative area of the electrode plates is S; when no coal or coal gangue passes through the aluminum electrode plates, the medium between the aluminum electrode plates is air; the dielectric constant of the air is &;; at the moment, a capacitor is formed by the two aluminum electrode plates and the air, and under the condition of considering stray capacitance generated by the edge effect, the capacitance is: C, = E1S(1+B) <i> d wherein, B is a deviation generated by ignoring the edge effect, and can be obtained through Maxwell software according to the capacitor structure; When the coal or the coal gangue passes through the aluminum electrode plates, in the S4, if the effective thickness of the medium is A, the effective thickness of the air medium is (d-h), and the dielectric constant of an unknown medium is set to &,; at the moment, a composite dielectric capacitor is formed by attaching the unknown medium to the air; in this way, equivalently the air dielectric capacitor is connected with the unknown dielectric capacitor in series; at the moment, the capacitance Co of the capacitor meets: = = = + = <2> In case the interior of the detection circuit communicates with the signal source as follows: Us = AV2 sin(2xft + @) <4> 14
Claims where, A is the amplitude of the introduced AC voltage; LU102638 f is the frequency of the AC voltage; t represents time; @ is a starting phase angle, ¢ = 0: It can be known from the Kirchhoff voltage law that a RC bleeder circuit is formed by the capacitor and the resistor, and the resistance value in the S4 is R; the voltage between the two ends is UR, and the relation between UR and Co obtained with a phase method is: In combination with the formula <3> and the formula <5>, the dielectric constant of the unknown medium is &;: — U8 cn 2TfR |A2-UZ = rh <6> It can be known from the formula <6>, under the condition that the electrode plate structure parameters and electrical parameter of the capacitor are determined, the dielectric constant of the unknown medium is only related to the voltage Up between the two ends of the resistor and the effective thickness h of the medium, and can be calculated after the Up and h are measured; then, through comparison between the dielectric constant of the unknown medium and the dielectric constant of the coal and the coal gangue, the property of the medium can be identified.
8. A coal gangue identifying and separating device based on machine vision and capacitance fusion according to Claim 5, characterized in that in the S4, the image composed of the two aluminum electrode plates and the coal or coal gangue contains the position information of the coal or coal gangue, and the distance that the contour center of the coal or coal gangue gets across the center line of the two aluminum electrode plates is measured as Li, and the horizontal distance between the center line of the two aluminum electrode plates and the nozzle can be measured as L during installation; the running speed of the conveyor belt is set to v through the STM32 single chip microcomputer, and the required time interval from the point that the medium is detected to the point that the high pressure gas is sprayed out through the
Claims nozzle is: HU102638 T=* <7> v The opening instruction is sent to the solenoid valve through the STM32 single chip microcomputer according to the time interval T, and the high pressure gas is sprayed out from the nozzle, and acts on the coal gangue, so that the coal gangue is separated from the coal. 16
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU102638A LU102638B1 (en) | 2021-03-10 | 2021-03-10 | A coal gangue identifying and separating device based on machine vision and capacitance fusion |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU102638A LU102638B1 (en) | 2021-03-10 | 2021-03-10 | A coal gangue identifying and separating device based on machine vision and capacitance fusion |
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| LU102638B1 true LU102638B1 (en) | 2021-09-10 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114935364A (en) * | 2022-05-13 | 2022-08-23 | 河北工业大学 | Coal gangue online identification equipment based on multi-source information fusion |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114935364A (en) * | 2022-05-13 | 2022-08-23 | 河北工业大学 | Coal gangue online identification equipment based on multi-source information fusion |
| CN114935364B (en) * | 2022-05-13 | 2023-05-23 | 河北工业大学 | Online coal gangue identification equipment based on multisource information fusion |
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