Device and method for detecting concentration of sucrose solution

Abstract

The present invention discloses a device and method for detecting the concentration of a sucrose solution. The device includes a controller and a detection device. The detection device includes a base, a detection container disposed on the base, and an infrared light source and an infrared detection device symmetrically disposed on the left and right sides of the detection container. The infrared detection device includes a first infrared detection module and a second infrared detection module. A reference optical fiber is also disposed within the detection container, with both ends of the reference optical fiber connected to the infrared light source and the second infrared detection module, respectively. The detection container is provided with a first liquid inlet and an air inlet at the top, the air inlet being connected to a hot air output device. The detection container is provided with a second liquid inlet at the top, and a liquid outlet at the bottom. A horizontal conveyor belt is disposed above the detection container, with multiple liquid injection containers disposed on the conveyor belt. The liquid outlet pipes connected to the liquid injection containers are disposed at the bottom of the liquid injection containers, and the liquid outlet pipes are provided with a third solenoid valve. The present invention can quickly and accurately detect the concentration of a sucrose solution and is simple to operate.

Description

Technical Field

[0001] The present invention relates to the technical field of solution concentration detection, and in particular to a device and method for detecting the concentration of a sucrose solution. Background Art

[0002] Sucrose, the main component of table sugar, is a disaccharide formed by the condensation and dehydration of the hemiacetal hydroxyl group of one glucose molecule and the hemiacetal hydroxyl group of one fructose molecule. Sucrose has a sweet taste and is odorless. It is readily soluble in water and glycerol and slightly soluble in alcohol. Sucrose is found almost universally in the plant kingdom, in leaves, flowers, stems, seeds, and fruits. It is particularly abundant in sugarcane, sugar beets, and maple sap. Sucrose has a sweet taste and is an important food and sweetener.

[0003] Existing methods for detecting the concentration of sucrose solution include instrumental analysis and chemical detection. Although the instrumental analysis method is simple to operate, it has the disadvantages of large equipment size, high cost and low detection accuracy; the chemical detection method has the disadvantages of cumbersome operation and poor repeatability. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a device and method for detecting the concentration of a sucrose solution, which can quickly and accurately detect the concentration of a sucrose solution and is simple to operate.

[0005] In order to solve the above problems, the present invention adopts the following technical solutions:

[0006] The present invention provides a device for detecting the concentration of a sucrose solution, comprising a controller and a detection device, wherein the detection device comprises a base, a detection container is provided on the base, an infrared light source and an infrared detection device are symmetrically provided on the left and right sides of the detection container, the infrared detection device comprises a first infrared detection module and a second infrared detection module, a reference optical fiber is further provided in the detection container, the two ends of the reference optical fiber are respectively connected to the infrared light source and the second infrared detection module, a first liquid inlet and an air inlet are provided on the top of the detection container, the air inlet is connected to a hot air output device, a second liquid inlet is provided on the upper part of the detection container, and a a first solenoid valve, the second liquid inlet is connected to the clean water output device through a connecting pipe, a liquid outlet is provided at the bottom of the detection container, a second solenoid valve is provided on the liquid outlet, a horizontally arranged conveyor belt is provided above the detection container, the conveyor belt is connected to the base through a bracket, a plurality of liquid injection containers are provided on the conveyor belt, a liquid outlet pipe connected to the liquid injection container is provided at the bottom of the liquid injection container, a third solenoid valve is provided on the liquid outlet pipe, and the controller is electrically connected to the infrared light source, the first infrared detection module, the second infrared detection module, the hot air output device, the first solenoid valve, the clean water output device, the second solenoid valve, the conveyor belt, and the third solenoid valve respectively.

[0007] In this solution, multiple sucrose solutions of different concentrations are pre-configured, and a sucrose solution of one concentration is injected into each liquid injection container. The controller controls the liquid outlet pipe of each liquid injection container to move to the position directly above the first liquid inlet of the detection container through a conveyor belt for detection. After each detection, the characteristic value Y corresponding to the sucrose solution in the corresponding liquid injection container is calculated. The characteristic value Y corresponding to each concentration of sucrose solution is obtained, and these values ​​are linearly fitted to obtain the concentration calculation formula: Y = 1.2X-130, where X is the concentration of the sucrose solution.

[0008] The sucrose solution to be tested is injected into a liquid injection container. The controller controls the liquid outlet pipe of the liquid injection container to move to the position just above the first liquid inlet of the detection container via a conveyor belt for a test. The corresponding characteristic value Y is obtained. The concentration of the sucrose solution to be tested is calculated according to the concentration calculation formula: Y = 1.2X-130.

[0009] The specific steps for the controller to move the liquid outlet pipe of a liquid filling container to the position just above the first liquid inlet of the detection container through the conveyor belt for a detection are as follows:

[0010] The conveyor belt transports the injection container to the top of the detection container, aligning the liquid outlet pipe of the injection container with the first liquid inlet of the detection container. The third solenoid valve on the liquid outlet pipe opens, and the sucrose solution in the injection container is injected into the detection container and allowed to stand for K seconds.

[0011] The infrared light source is activated to emit infrared light. The first infrared detection module detects spectral data of the infrared light passing through the sucrose solution and sends the data to the controller. The second infrared detection module detects spectral data of the infrared light passing through the sucrose solution and sends the data to the controller. The controller processes the spectral data detected by the first and second infrared detection modules and calculates the corresponding eigenvalue Y.

[0012] The second solenoid valve is opened, and the sucrose solution in the detection container is discharged from the liquid outlet. The first solenoid valve is opened, and the clean water output device inputs clean water into the detection container for cleaning. After T1 second, the first solenoid valve is closed, and the clean water output device stops outputting clean water. After T2 seconds, all the clean water in the detection container is discharged, the second solenoid valve is closed, and the hot air output device inputs hot air into the detection container to dry the detection container.

[0013] Preferably, a liquid level sensor is provided in the detection container and is electrically connected to the controller. The liquid level sensor is used to monitor the liquid level in the detection container, and the controller controls the amount of sucrose solution and water injected into the detection container according to the monitoring result of the liquid level sensor.

[0014] Preferably, the bottom of the detection container is further provided with a stirring blade and a drive motor for driving the stirring blade, wherein the drive motor is electrically connected to the controller. After the sucrose solution is injected into the detection container, the stirring blade stirs for a period of time to make the sucrose solution more uniform. After clean water is injected into the detection container, the stirring blade stirs for a period of time to ensure a more thorough cleaning.

[0015] Preferably, the liquid outlet is connected to a wastewater treatment device via a connecting pipeline.

[0016] A method for detecting the concentration of a sucrose solution of the present invention is used in the above-mentioned device for detecting the concentration of a sucrose solution, comprising the following steps:

[0017] Prepare multiple sucrose solutions of different concentrations, detect the characteristic value Y corresponding to each concentration of sucrose solution, and perform linear fitting on these values ​​to obtain the concentration calculation formula: Y = 1.2X - 130, where X is the concentration of the sucrose solution;

[0018] Take the sucrose solution to be tested, detect its corresponding characteristic value Y, and calculate the concentration of the sucrose solution to be tested according to the concentration calculation formula: Y = 1.2X-130;

[0019] The method for detecting the characteristic value Y corresponding to a sucrose solution of a certain concentration comprises the following steps:

[0020] S1: The conveyor belt transports the injection container containing the sucrose solution of the concentration to the top of the detection container, aligning the liquid outlet pipe of the injection container with the first liquid inlet of the detection container. The third solenoid valve on the liquid outlet pipe is opened, and the sucrose solution in the injection container is injected into the detection container and allowed to stand for K seconds.

[0021] S2: The infrared light source is activated to emit infrared light. The infrared light passes through the sucrose solution and is detected by the first infrared detection module. The first infrared detection module sends the detected spectral data set D1 to the controller. The spectral data set D1 contains n spectral data. The infrared light passes through the reference optical fiber and is detected by the second infrared detection module. The second infrared detection module sends the detected spectral data set D2 to the controller. The spectral data set D2 contains n spectral data. Each spectral data consists of a wave number wn and a corresponding spectral intensity sp.

[0022] S3: The controller arranges the spectral data in the spectral data set D1 from large to small according to wavenumber to obtain a spectral data set L1, and arranges the spectral data in the spectral data set D2 from large to small according to wavenumber to obtain a spectral data set L2. The controller subtracts the spectral intensity of the spectral data in the spectral data set L1 from the spectral intensity of the corresponding spectral data in the spectral data set L2 to obtain a spectral data set L3;

[0023] S4: The controller calculates the intensity wavenumber ratio tr corresponding to each spectral data in the spectral data set L3, and obtains the intensity wavenumber ratio data set T, T = {tr(1), tr(2) ... tr(n)}, tr(i) is the intensity wavenumber ratio corresponding to the i-th spectral data G3(i) in the spectral data set L3, 1≤i≤n, Wherein, sp3(i) is the spectral intensity in the spectral data G3(i), and wn3(i) is the wave number in the spectral data G3(i);

[0024] S5: The controller inputs the data in the intensity wavenumber ratio data set T into the nonlinear resonance model, and calculates the characteristic signal-to-noise ratio SNR using the nonlinear resonance model. The controller establishes a rectangular coordinate system with the excitation noise intensity as the x-axis and the signal-to-noise ratio value as the y-axis, and draws a characteristic signal-to-noise ratio curve in the rectangular coordinate system. The signal-to-noise ratio value corresponding to the trough with the maximum excitation noise intensity on the characteristic signal-to-noise ratio curve is taken as the characteristic value Y;

[0025] S6: The second solenoid valve opens, and the sucrose solution in the detection container is discharged from the liquid outlet. The first solenoid valve opens, and the clean water output device inputs clean water into the detection container for cleaning. After T1 seconds, the first solenoid valve closes, and the clean water output device stops outputting clean water. After T2 seconds, all the clean water in the detection container is discharged, the second solenoid valve closes, and the hot air output device inputs hot air into the detection container to dry the detection container.

[0026] In this scheme, at the stage of lower excitation noise intensity, the characteristic signal-to-noise ratio curve shows insufficient stability. As the excitation noise intensity increases, the output stability is significantly enhanced. Therefore, the characteristic trough generated when the excitation noise intensity is large is selected as the characterization parameter of the concentration, that is, the signal-to-noise ratio value corresponding to the trough with the largest excitation noise intensity on the characteristic signal-to-noise ratio curve (the trough on the far right of the characteristic signal-to-noise ratio curve) is selected as the characteristic value Y of the sucrose solution of the corresponding concentration.

[0027] Preferably, step S3 includes the following steps:

[0028] S31: The controller arranges the spectral data in the spectral data set D1 from large to small according to the wave number to obtain the spectral data set L1, L1 = {G1(1), G1(2)…G1(n)}, the i-th spectral data G1(i) in the spectral data set L1 = (wn1(i), sp1(i)), 1≤i≤n, sp1(i) is the spectral intensity in the spectral data G1(i), wn1(i) is the wave number in the spectral data G1(i);

[0029] S32: The controller arranges the spectral data in the spectral data set D2 from large to small according to the wave number to obtain a spectral data set L2, L2 = {G2(1), G2(2) ... G2(n)}, the i-th spectral data G2(i) in the spectral data set L2 = (wn2(i), sp2(i)), sp2(i) is the spectral intensity in the spectral data G2(i), wn2(i) is the wave number in the spectral data G2(i);

[0030] S33: The controller subtracts the spectral intensity of the spectral data in the spectral data set L1 from the spectral intensity of the corresponding spectral data in the spectral data set L2 to obtain the spectral data set L3, L3 = {G3(1), G3(2)…G3(n)}, the i-th spectral data G3(i) in the spectral data set L3 = (wn3(i), sp3(i)),

[0031] Wherein, sp3(i)=sp1(i)-sp2(i), wn3(i)=wn1(i)=wn2(i), sp3(i) is the spectral intensity in the spectral data G3(i), and wn3(i) is the wave number in the spectral data G3(i).

[0032] Preferably, step S5 includes the following steps:

[0033] The controller inputs the data in the intensity wavenumber ratio data set T into the nonlinear resonance model:

[0034]

[0035]

[0036] Where x is the position of the virtual particle in the nonlinear resonance model, V(x) is the nonlinear symmetric potential function, A is the input signal intensity, f0 is the modulation signal frequency, is the initial phase, D is the excitation noise intensity, a and b are coefficients, ξ(i) is the i-th Gaussian white noise, and its autocorrelation function is: E[ξ(i)ξ(0)]=2Dδ(i), δ(i) is the impulse function;

[0037] Adjust the value of D from small to large, and record the value of D when the nonlinear resonance model resonates as D k , thus obtaining the characteristic signal-to-noise ratio SNR,

[0038]

[0039] Where V0 is the potential barrier height;

[0040] The controller establishes a rectangular coordinate system with the excitation noise intensity as the x-axis and the signal-to-noise ratio value as the y-axis, draws a characteristic signal-to-noise ratio curve in the rectangular coordinate system, and takes the signal-to-noise ratio value corresponding to the trough with the maximum excitation noise intensity on the characteristic signal-to-noise ratio curve as the characteristic value Y.

[0041] The beneficial effects of the present invention are that the concentration of the sucrose solution can be detected quickly and accurately, and the operation is simple. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a structural diagram of an embodiment;

[0043] Figure 2 It is a structural schematic diagram of the detection container;

[0044] Figure 3 is a circuit connection block diagram of an embodiment;

[0045] Figure 4 is a schematic diagram of the characteristic signal-to-noise ratio curve;

[0046] Figure 5 is a schematic diagram of linear fitting.

[0047] In the figure: 1. controller, 2. base, 3. detection container, 4. infrared light source, 5. infrared detection device, 6. first infrared detection module, 7. second infrared detection module, 8. reference optical fiber, 9. first liquid inlet, 10. air inlet, 11. hot air output device, 12. second liquid inlet, 13. first solenoid valve, 14. clean water output device, 15. liquid outlet, 16. second solenoid valve, 17. conveyor belt, 18. liquid filling container, 19. liquid outlet pipe, 20. third solenoid valve, 21. liquid level sensor, 22. stirring blade, 23. drive motor. DETAILED DESCRIPTION

[0048] The technical solution of the present invention will be further specifically described below through embodiments and in conjunction with the accompanying drawings.

[0049] Example: This embodiment is a device for detecting the concentration of sucrose solution, such as Figure 1 、 Figure 2 、 Figure 3As shown, it includes a controller 1 and a detection device, which includes a base 2. A detection container 3 is provided on the base 2. An infrared light source 4 and an infrared detection device 5 are symmetrically provided on the left and right sides of the detection container 3. The infrared detection device 5 includes a first infrared detection module 6 and a second infrared detection module 7. A reference optical fiber 8 is also provided in the detection container 3. The two ends of the reference optical fiber 8 are respectively connected to the infrared light source 4 and the second infrared detection module 7. A first liquid inlet 9 and an air inlet 10 are provided on the top of the detection container 3. The air inlet 10 is connected to a hot air output device 11. A second liquid inlet 12 is provided on the upper part of the detection container 3. A first solenoid valve 13 is provided on the second liquid inlet 12. The second liquid inlet 12 is connected to a clean water output device 14 through a connecting pipeline. A liquid outlet 15 is provided at the bottom of the detection container 3. A second solenoid valve 16 is provided on the liquid outlet 15. The port 15 is connected to the wastewater treatment device through a connecting pipe. A liquid level sensor 21 is also provided in the detection container 3. A stirring blade 22 and a drive motor 23 for driving the stirring blade 22 to rotate are also provided at the bottom of the detection container 3. A horizontally arranged conveyor belt 17 is provided above the detection container 3. The conveyor belt 17 is connected to the base 2 through a bracket. A plurality of liquid injection containers 18 are provided on the conveyor belt 17. A liquid outlet pipe 19 connected to the liquid injection container 18 is provided at the bottom of the liquid injection container 18. A third solenoid valve 20 is provided on the liquid outlet pipe 19. The controller 1 is electrically connected to the infrared light source 4, the first infrared detection module 6, the second infrared detection module 7, the hot air output device 11, the first solenoid valve 13, the clean water output device 14, the second solenoid valve 16, the conveyor belt 17, the third solenoid valve 20, the liquid level sensor 21, and the drive motor 23 respectively.

[0050] In this solution, multiple sucrose solutions of different concentrations are pre-configured, and a sucrose solution of one concentration is injected into each liquid injection container. The controller controls the liquid outlet pipe of each liquid injection container to move to the position directly above the first liquid inlet of the detection container through a conveyor belt for detection. After each detection, the characteristic value Y corresponding to the sucrose solution in the corresponding liquid injection container is calculated. The characteristic value Y corresponding to each concentration of sucrose solution is obtained, and these values ​​are linearly fitted to obtain the concentration calculation formula: Y = 1.2X-130, where X is the concentration of the sucrose solution.

[0051] The sucrose solution to be tested is injected into a liquid injection container. The controller controls the liquid outlet pipe of the liquid injection container to move to the position just above the first liquid inlet of the detection container via a conveyor belt for a test. The corresponding characteristic value Y is obtained. The concentration of the sucrose solution to be tested is calculated according to the concentration calculation formula: Y = 1.2X-130.

[0052] The specific steps for the controller to move the liquid outlet pipe of a liquid filling container to the position just above the first liquid inlet of the detection container through the conveyor belt for a detection are as follows:

[0053] The conveyor belt transports the liquid injection container to the top of the detection container, aligning the liquid outlet pipe of the liquid injection container with the first liquid inlet of the detection container. The third solenoid valve on the liquid outlet pipe opens, and the sucrose solution in the liquid injection container is injected into the detection container. When the sucrose solution in the detection container reaches a set height, the third solenoid valve closes, and the drive motor drives the stirring blade to rotate for a set time. The stirring blade stops rotating, and the detection container is left to stand for K seconds.

[0054] The infrared light source is activated to emit infrared light. The first infrared detection module detects spectral data of the infrared light passing through the sucrose solution and sends the data to the controller. The second infrared detection module detects spectral data of the infrared light passing through the sucrose solution and sends the data to the controller. The controller processes the spectral data detected by the first and second infrared detection modules and calculates the corresponding eigenvalue Y.

[0055] The second solenoid valve is opened, and the sucrose solution in the detection container is discharged from the liquid outlet. The first solenoid valve is opened, and the clean water output device inputs clean water into the detection container for cleaning. At the same time, the motor drives the stirring blade to rotate. After T1 second, the first solenoid valve is closed, the clean water output device stops outputting clean water, and the stirring blade stops rotating. After T2 seconds, all the clean water in the detection container is discharged, the second solenoid valve is closed, and the hot air output device inputs hot air into the detection container to dry the detection container.

[0056] After the sucrose solution is poured into the test container, the stirring blade is stirred for a while to make the sucrose solution more uniform. After the clean water is poured into the test container, the stirring blade is stirred for a while to make the cleaning more thorough.

[0057] A method for detecting the concentration of a sucrose solution in this embodiment, used in the above-mentioned device for detecting the concentration of a sucrose solution, includes the following steps:

[0058] Prepare multiple sucrose solutions of different concentrations, detect the characteristic value Y corresponding to each concentration of sucrose solution, and perform linear fitting on these values ​​to obtain the concentration calculation formula: Y = 1.2X - 130, where X is the concentration of the sucrose solution;

[0059] Take the sucrose solution to be tested, detect its corresponding characteristic value Y, and calculate the concentration of the sucrose solution to be tested according to the concentration calculation formula: Y = 1.2X-130;

[0060] The method for detecting the characteristic value Y corresponding to a sucrose solution of a certain concentration comprises the following steps:

[0061] S1: The conveyor belt transports the injection container containing the sucrose solution of the concentration to the top of the detection container, aligning the liquid outlet pipe of the injection container with the first liquid inlet of the detection container. The third solenoid valve on the liquid outlet pipe opens, and the sucrose solution in the injection container is injected into the detection container. When the sucrose solution in the detection container reaches the set height, the third solenoid valve closes, and the driving motor drives the stirring blade to rotate for a set time. The stirring blade stops rotating, and the detection container is left to stand for K seconds.

[0062] S2: The infrared light source is activated to emit infrared light. The infrared light passes through the sucrose solution and is detected by the first infrared detection module. The first infrared detection module sends the detected spectral data set D1 to the controller. The spectral data set D1 contains n spectral data. The infrared light passes through the reference optical fiber and is detected by the second infrared detection module. The second infrared detection module sends the detected spectral data set D2 to the controller. The spectral data set D2 contains n spectral data. Each spectral data consists of a wave number wn and a corresponding spectral intensity sp.

[0063] S3: The controller arranges the spectral data in the spectral data set D1 from large to small according to the wave number to obtain the spectral data set L1, L1 = {G1(1), G1(2)…G1(n)}, the i-th spectral data G1(i) in the spectral data set L1 = (wn1(i), sp1(i)), 1≤i≤n, sp1(i) is the spectral intensity in the spectral data G1(i), wn1(i) is the wave number in the spectral data G1(i);

[0064] The controller arranges the spectral data in the spectral data set D2 from large to small according to the wave number to obtain the spectral data set L2, L2 = {G2(1), G2(2) ... G2(n)}, the i-th spectral data G2(i) in the spectral data set L2 = (wn2(i), sp2(i)), sp2(i) is the spectral intensity in the spectral data G2(i), and wn2(i) is the wave number in the spectral data G2(i);

[0065] The controller subtracts the spectral intensity of the spectral data in the spectral data set L1 from the spectral intensity of the corresponding spectral data in the spectral data set L2 to obtain the spectral data set L3, L3 = {G3(1), G3(2) ... G3(n)}, the i-th spectral data G3(i) in the spectral data set L3 = (wn3(i), sp3(i)),

[0066] Wherein, sp3(i)=sp1(i)-sp2(i), wn3(i)=wn1(i)=wn2(i), sp3(i) is the spectral intensity in the spectral data G3(i), and wn3(i) is the wave number in the spectral data G3(i);

[0067] S4: The controller calculates the intensity wavenumber ratio tr corresponding to each spectral data in the spectral data set L3, and obtains the intensity wavenumber ratio data set T, T = {tr(1), tr(2) ... tr(n)}, tr(i) is the intensity wavenumber ratio corresponding to the i-th spectral data G3(i) in the spectral data set L3,

[0068] S5: The controller inputs the data in the intensity wavenumber ratio data set T into the nonlinear resonance model:

[0069]

[0070] Where x is the position of the virtual particle in the nonlinear resonance model, V(x) is the nonlinear symmetric potential function, A is the input signal intensity, f0 is the modulation signal frequency, is the initial phase, D is the excitation noise intensity, a and b are coefficients, ζ(i) is the i-th Gaussian white noise, and its autocorrelation function is: E[ξ(i)ξ(0)]=2Dδ(i), δ(i) is the impulse function;

[0071] Adjust the value of D from small to large, and record the value of D when the nonlinear resonance model resonates as D k (Nonlinear resonance model in D=D k Resonance occurs when the signal is equal to the given value), thus obtaining the characteristic signal-to-noise ratio SNR,

[0072]

[0073] Where V0 is the potential barrier height;

[0074] The controller establishes a rectangular coordinate system with the excitation noise intensity as the x-axis and the signal-to-noise ratio value as the y-axis. A characteristic signal-to-noise ratio curve is drawn in the rectangular coordinate system. The signal-to-noise ratio value corresponding to the trough with the maximum excitation noise intensity on the characteristic signal-to-noise ratio curve is taken as the characteristic value Y.

[0075] S6: The second solenoid valve opens, and the sucrose solution in the detection container is discharged from the liquid outlet. The first solenoid valve opens, and the clean water output device inputs clean water into the detection container for cleaning. At the same time, the motor drives the stirring blade to rotate. After T1 seconds, the first solenoid valve closes, the clean water output device stops outputting clean water, and the stirring blade stops rotating. After T2 seconds, all the clean water in the detection container is discharged, the second solenoid valve closes, and the hot air output device inputs hot air into the detection container to dry the detection container.

[0076] In this scheme, at the stage of lower excitation noise intensity, the characteristic signal-to-noise ratio curve shows insufficient stability. As the excitation noise intensity increases, the output stability is significantly enhanced. Therefore, the characteristic trough generated when the excitation noise intensity is large is selected as the characterization parameter of the concentration, that is, the signal-to-noise ratio value corresponding to the trough with the largest excitation noise intensity on the characteristic signal-to-noise ratio curve (the trough on the far right of the characteristic signal-to-noise ratio curve) is selected as the characteristic value Y of the sucrose solution of the corresponding concentration.

[0077] For example, five sucrose solutions with different concentrations are prepared, namely 5mmol / L, 10mmol / L, 15mmol / L, 20mmol / L, and 25mmol / L. The five characteristic signal-to-noise ratio curves obtained by testing these five sucrose solutions with different concentrations are as follows: Figure 4 As shown, the signal-to-noise ratio value corresponding to the trough with the largest excitation noise intensity on each characteristic signal-to-noise ratio curve is taken as the characteristic value Y, and linear fitting is performed, as shown in Figure 5 shown.

Claims

1. A method for detecting the concentration of a sucrose solution, used in a device for detecting the concentration of a sucrose solution, characterized in that: The device comprises a controller (1) and a detection device, wherein the detection device comprises a base (2), a detection container (3) is provided on the base (2), an infrared light source (4) and an infrared detection device (5) are symmetrically provided on the left and right sides of the detection container (3), the infrared detection device (5) comprises a first infrared detection module (6) and a second infrared detection module (7), a reference optical fiber (8) is further provided in the detection container (3), and the two ends of the reference optical fiber (8) are respectively connected to the infrared light source (4) and the second infrared detection module (7), a first liquid inlet (9) and an air inlet (10) are provided on the top of the detection container (3), the air inlet (10) is connected to a hot air output device (11), a second liquid inlet (12) is provided on the upper part of the detection container (3), a first electromagnetic valve (13) is provided on the second liquid inlet (12), and the second liquid inlet (12) is connected to the hot air output device (11). The connecting pipeline is connected to the clean water output device (14); a liquid outlet (15) is provided at the bottom of the detection container (3); a second electromagnetic valve (16) is provided on the liquid outlet (15); a horizontally arranged conveyor belt (17) is provided above the detection container (3); the conveyor belt (17) is connected to the base (2) through a bracket; a plurality of liquid injection containers (18) are provided on the conveyor belt (17); a liquid outlet pipe (19) communicating with the liquid injection container (18) is provided at the bottom of the liquid injection container (18); a third electromagnetic valve (20) is provided on the liquid outlet pipe (19); the controller (1) is electrically connected to the infrared light source (4), the first infrared detection module (6), the second infrared detection module (7), the hot air output device (11), the first electromagnetic valve (13), the clean water output device (14), the second electromagnetic valve (16), the conveyor belt (17), and the third electromagnetic valve (20); The method comprises the following steps: Prepare multiple sucrose solutions of different concentrations, detect the characteristic value Y corresponding to each concentration of sucrose solution, and perform linear fitting on these values ​​to obtain the concentration calculation formula: Y = 1.2X - 130, where X is the concentration of the sucrose solution; Take the sucrose solution to be tested, detect its corresponding characteristic value Y, and calculate the concentration of the sucrose solution to be tested according to the concentration calculation formula: Y = 1.2X-130; The method for detecting the characteristic value Y corresponding to each concentration of sucrose solution comprises the following steps: S1: The conveyor belt transports the injection container containing the sucrose solution of the concentration to the top of the detection container, aligning the liquid outlet pipe of the injection container with the first liquid inlet of the detection container. The third solenoid valve on the liquid outlet pipe is opened, and the sucrose solution in the injection container is injected into the detection container and allowed to stand for K seconds. S2: The infrared light source is activated to emit infrared light. The infrared light passes through the sucrose solution and is detected by the first infrared detection module. The first infrared detection module sends the detected spectral data set D1 to the controller. The spectral data set D1 contains n spectral data. The infrared light passes through the reference optical fiber and is detected by the second infrared detection module. The second infrared detection module sends the detected spectral data set D2 to the controller. The spectral data set D2 contains n spectral data. Each spectral data consists of a wave number wn and a corresponding spectral intensity sp. S3: The controller arranges the spectral data in the spectral data set D1 from large to small according to wavenumber to obtain a spectral data set L1, and arranges the spectral data in the spectral data set D2 from large to small according to wavenumber to obtain a spectral data set L2. The controller subtracts the spectral intensity of the spectral data in the spectral data set L1 from the spectral intensity of the corresponding spectral data in the spectral data set L2 to obtain a spectral data set L3; S4: The controller calculates the intensity wavenumber ratio tr corresponding to each spectral data in the spectral data set L3, and obtains the intensity wavenumber ratio data set T, T = {tr(1), tr(2) ... tr(n)}, tr(i) is the intensity wavenumber ratio corresponding to the i-th spectral data G3(i) in the spectral data set L3, 1≤i≤n, Wherein, sp3(i) is the spectral intensity in the spectral data G3(i), and wn3(i) is the wave number in the spectral data G3(i); S5: The controller inputs the data in the intensity wavenumber ratio data set T into the nonlinear resonance model, and calculates the characteristic signal-to-noise ratio SNR using the nonlinear resonance model. The controller establishes a rectangular coordinate system with the excitation noise intensity as the x-axis and the signal-to-noise ratio value as the y-axis, and draws a characteristic signal-to-noise ratio curve in the rectangular coordinate system. The signal-to-noise ratio value corresponding to the trough with the maximum excitation noise intensity on the characteristic signal-to-noise ratio curve is taken as the characteristic value Y; S6: The second solenoid valve opens, and the sucrose solution in the detection container is discharged from the liquid outlet. The first solenoid valve opens, and the clean water output device inputs clean water into the detection container for cleaning. After T1 seconds, the first solenoid valve closes, and the clean water output device stops outputting clean water. After T2 seconds, all the clean water in the detection container is discharged, the second solenoid valve closes, and the hot air output device inputs hot air into the detection container to dry the detection container.

2. A method for detecting the concentration of a sucrose solution according to claim 1, characterized in that: A liquid level sensor (21) is also provided in the detection container (3), and the liquid level sensor (21) is electrically connected to the controller (1).

3. A method for detecting the concentration of a sucrose solution according to claim 1, characterized in that: The bottom of the detection container (3) is further provided with a stirring blade (22) and a driving motor (23) for driving the stirring blade (22) to rotate. The driving motor (23) is electrically connected to the controller (1).

4. A method for detecting the concentration of a sucrose solution according to claim 1, characterized in that: The liquid outlet (15) is connected to a wastewater treatment device via a connecting pipeline.

5. A method for detecting the concentration of a sucrose solution according to claim 1, characterized in that: The step S3 comprises the following steps: S31: The controller arranges the spectral data in the spectral data set D1 from large to small according to the wave number to obtain the spectral data set L1, L1 = {G1(1), G1(2)…G1(n)}, the i-th spectral data G1(i) in the spectral data set L1 = (wn1(i), sp1(i)), 1≤i≤n, sp1(i) is the spectral intensity in the spectral data G1(i), wn1(i) is the wave number in the spectral data G1(i); S32: The controller arranges the spectral data in the spectral data set D2 from large to small according to the wave number to obtain a spectral data set L2, L2 = {G2(1), G2(2) ... G2(n)}, the i-th spectral data G2(i) in the spectral data set L2 = (wn2(i), sp2(i)), sp2(i) is the spectral intensity in the spectral data G2(i), wn2(i) is the wave number in the spectral data G2(i); S33: The controller subtracts the spectral intensity of the spectral data in the spectral data set L1 from the spectral intensity of the corresponding spectral data in the spectral data set L2 to obtain the spectral data set L3, L3 = {G3(1), G3(2)…G3(n)}, the i-th spectral data G3(i) in the spectral data set L3 = (wn3(i), sp3(i)), Wherein, sp3(i)=sp1(i)-sp2(i), wn3(i)=wn1(i)=wn2(i), sp3(i) is the spectral intensity in the spectral data G3(i), and wn3(i) is the wave number in the spectral data G3(i).

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