Sanhua plum sugar degree sorting device based on near infrared spectrum and control method thereof

Abstract

The invention discloses a Sanhua plum sugar degree sorting device based on near infrared spectroscopy and a control method thereof, and relates to the technical field of fruit sugar degree detection.The device comprises a spectrum collecting device and a fruit sorting device, and the spectrum collecting device is fixed to the top end of the fruit sorting device; the spectrum information of the Sanhua plum fruits is collected through the spectrum collecting device, and based on the collected spectrum information, a control strategy combining a near infrared spectrum technology and a single chip microcomputer is adopted, rotation of the first baffle and the second baffle is controlled by controlling the first motor and the second motor, and sugar degree sorting control over the Sanhua plum fruits is completed; according to the technical scheme, automatic sorting can be achieved, rapid, lossless and efficient analysis and recognition can be achieved, human intervention is reduced, the stability of the sorting effect is guaranteed, compared with traditional sorting equipment, the cost is low, the production efficiency can be improved, and the technology is relatively simple in structure, does not need a complex mechanical structure or a control system and is easy to install and maintain.

Description

Technical Field

[0001] The invention relates to the technical field of fruit sugar content detection, and in particular to a Sanhua plum sugar content sorting device based on near infrared spectroscopy and a control method thereof. Background Art

[0002] Plum is a plant belonging to the genus Prunus in the Rosaceae family. It is a deciduous tree famous for its juicy and delicious fruit. The fruit of the plum is usually round or oval in shape and comes in a variety of colors, ranging from yellow to dark red. The flesh is yellow or light green. Sanhua plum is a type of plum belonging to the subfamily Prunoideae in the Rosaceae family. It is a deciduous woody plant with simple leaves that often have glands at the base of the leaves. Sanhua plum is loved by consumers for its large fruit, delicious flavor and excellent quality.

[0003] In the production process of Sanhua plums, sugar content sorting is to ensure that consumers can get products with consistent taste. Sugar content is an important indicator to measure the sweetness of fruit. For Sanhua plums, which are famous for their sweetness, the level of sugar content directly affects the consumer's eating experience. Through the corresponding sugar content sorting equipment, Sanhua plums with similar sugar content can be grouped into one category, so that they can be priced according to different sugar content levels when selling to meet the needs of different consumers.

[0004] Traditional sugar content sorting equipment for fruits such as plums is mostly complex in structure, difficult to install and maintain, and usually requires a lot of manpower and time, making it difficult to meet the needs of large-scale production. It is also easily affected by human factors, resulting in unstable sorting effects. The sugar content sorting accuracy of Sanhua plums is low, and the equipment cost and sorting cost are also relatively high, which cannot bring good economic benefits. Therefore, the present invention proposes a Sanhua plum sugar content sorting device based on near-infrared spectroscopy and a control method thereof to solve the problems existing in the prior art. Summary of the invention

[0005] In view of the above problems, the purpose of the present invention is to propose a Sanhua plum sugar content sorting device based on near-infrared spectroscopy and its control method, which solves the problem that traditional sugar content sorting equipment for fruits such as plums has a complex structure, usually requires a lot of manpower and time, is difficult to meet the needs of large-scale production, and is easily affected by human factors, resulting in unstable sorting effects.

[0006] In order to achieve the purpose of the present invention, the present invention is implemented by the following technical scheme: a Sanhua plum sugar content sorting device based on near-infrared spectroscopy, comprising a spectrum collection device and a fruit sorting device, wherein the spectrum collection device is fixed at the top of the fruit sorting device, and the spectrum collection device comprises a detection frame and photoelectric switches symmetrically fixed to the inner walls of both sides of the detection frame, wherein the detection frame is arranged in a square shape and has upper and lower connected openings, and the inner walls of the other two sides of the detection frame where the photoelectric switches are not arranged are respectively provided with mutually adapted light source ports and optical fiber ports;

[0007] The fruit sorting device includes a first sorting box fixed to the bottom end of the detection frame and connected thereto, and a first motor fixed to the outer wall of the first sorting box, the output shaft of the first motor passes through the first sorting box through a bearing and is fixed with a first baffle, a second sorting box connected thereto is fixed to the bottom end of the first sorting box, a second motor is fixed to the outer wall of the second sorting box, and the output shaft of the second motor passes through the second sorting box through a bearing and is fixed with a second baffle.

[0008] A further improvement is that light shielding plates are symmetrically fixed inside the detection frame, the light source port and the optical fiber port are located between two groups of light shielding plates, and the light shielding plates are provided with through grooves adapted to the photoelectric switches.

[0009] A further improvement is that an incident light source is provided on a side of the light source port close to the outside of the detection frame, and the incident light source at the light source port position is a 100W incandescent lamp.

[0010] A further improvement is that a spectrometer is provided on the side of the optical fiber port close to the outside of the detection box, and the spectrometer at the optical fiber port position adopts a hard trigger mode. When an external rising edge signal is transmitted to the spectrometer at the optical fiber port position, the spectrometer at the optical fiber port position starts to collect the spectrum of the current object.

[0011] A further improvement is that the two groups of photoelectric switches are opposing photoelectric switches. When a Sanhua plum fruit passes between the two groups of photoelectric switches, the photoelectric switch detects the obstacle and generates a rising edge to the spectrometer at the optical fiber port position. After receiving the signal, the spectrometer at the optical fiber port position collects the current spectral information.

[0012] A further improvement is that the speed at which the first motor controls the first baffle to rotate to the top is greater than the falling speed of the Sanhua plum fruit, and the speed at which the second motor controls the second baffle to rotate to the top is greater than the falling speed of the Sanhua plum fruit.

[0013] A control method for a Sanhua plum sugar content sorting device based on near-infrared spectroscopy comprises the following steps: Sanhua plum fruits to be sorted are dropped into a spectrum collection device one by one in a free-fall manner through an external feeding device; when the Sanhua plum fruits drop to the center position inside a detection box, photoelectric switches on both sides are triggered, and at this time, the photoelectric switches generate a rising edge signal to a spectrometer at a fiber optic port position; when an external rising edge signal is transmitted to the spectrometer, light incident into the detection box through a light source port penetrates the Sanhua plum fruits and transmits the signal to the fiber optic port; the light After receiving the signal through the optical fiber port, the spectrometer starts to collect the spectrum information of the current Sanhua plum fruit. The sugar content of the Sanhua plum fruit is obtained through judgment and analysis by the spectrometer. The sugar content information is then transmitted to the host computer by the spectrometer. Subsequently, the host computer transmits the sugar content information to the single-chip microcomputer via serial communication. The single-chip microcomputer makes a judgment and controls the first motor and the second motor to drive the first baffle and the second baffle to rotate respectively. After the first baffle and the second baffle rotate to the top, they get stuck and form a sorting channel respectively. The Sanhua plum fruit falls along the sorting channel to realize the sugar content sorting of the Sanhua plum fruit.

[0014] A further improvement is that the number of motors in the fruit sorting device is determined according to the number of sugar content sorting gradients of the Sanhua plum fruit, and the number of sugar content sorting gradients of the Sanhua plum fruit=the number of motors+1.

[0015] The beneficial effects of the present invention are as follows: the present invention collects spectral information of Sanhua plum fruit through a spectral acquisition device, and based on the collected spectral information, adopts a control strategy combining near-infrared spectroscopy technology and a single-chip microcomputer, and controls the rotation of the first baffle and the second baffle by controlling the first motor and the second motor to complete the sugar content sorting control of the Sanhua plum fruit, which can realize automated sorting, achieve fast, non-destructive and efficient analysis and identification, reduce human intervention, and ensure the stability of the sorting effect. Compared with traditional sorting equipment, the cost is lower, production efficiency can be improved, and the structure of the technology is relatively simple, does not require complex mechanical structure and control system, and is easy to install and maintain. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the three-dimensional structure of the Sanhua plum sugar content sorting device according to the first embodiment of the present invention;

[0017] Figure 2 It is a schematic diagram of the three-dimensional structure of the spectrum collection device according to the first embodiment of the present invention;

[0018] Figure 3 It is a schematic diagram of the three-dimensional structure of a fruit sorting device according to the first embodiment of the present invention;

[0019] Figure 4 It is a schematic diagram of the internal structure of the fruit sorting device according to the first embodiment of the present invention;

[0020] Figure 5 is the original spectrum of the first batch of experiments in Example 1 of the present invention;

[0021] Figure 6 This is the SG pre-processing spectrum of the first batch of experiments in Example 1 of the present invention;

[0022] Figure 7 This is the SNV preprocessing spectrum of the first batch of experiments in Example 1 of the present invention;

[0023] Figure 8 It is a scatter plot of the predicted value and actual value of the sugar content of the first batch of Sanhua plums under the CARS-PLSR model of Example 1 of the present invention;

[0024] Fig. 9 is the original spectrum diagram of the second batch of experiments in Example 1 of the present invention;

[0025] Fig.10 is the SG pre-processing spectrum of the second batch of experiments in Example 1 of the present invention;

[0026] Fig.11 is the SNV preprocessing spectrum diagram of the second batch of experiments in Example 1 of the present invention;

[0027] Fig.12 is a scatter plot of predicted values ​​and actual values ​​of the sugar content of the second batch of Sanhua plums under the CARS-PLSR model of Example 1 of the present invention;

[0028] Fig.13 It is a flow chart of the control method of the second embodiment of the present invention.

[0029] Wherein: 1. Spectral acquisition device; 101. Detection box; 102. Photoelectric switch; 103. Light source port; 104. Optical fiber port; 105. Light baffle; 106. Through slot; 2. Fruit sorting device; 201. First sorting box; 202. First motor; 203. First baffle; 204. Second sorting box; 205. Second motor; 206. Second baffle. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] As a high-quality fruit, Sanhua plum not only has good taste and high nutritional value, but also has good planting benefits and broad market prospects. With the improvement of planting technology and changes in market trends, the Sanhua plum industry is expected to continue to maintain a good development momentum;

[0032] Sugar content sorting of Sanhua plums helps improve the overall quality and market competitiveness of Sanhua plums. Sanhua plums with high sugar content are more popular because they are usually sweeter and more delicious. By sorting out Sanhua plums with high sugar content, manufacturers can market them as high-end products, thereby increasing the added value and profit margin of the products. Therefore, sugar content sorting is very important in the production and processing of Sanhua plums.

[0033] In the process of sugar content sorting of plums and other fruits, it is necessary to rely on corresponding sugar content sorting equipment for sorting. However, most of the existing sugar content sorting equipment has the problems of complex structure, low sugar content detection accuracy and stability.

[0034] Embodiment 1

[0035] For the problems existing in the above-mentioned prior art, see Figure 1 , Figure 2 , Figure 3 , Figure 4 This embodiment provides a Sanhua plum sugar content sorting device based on near infrared spectroscopy, comprising a spectrum collection device 1 for collecting spectrum information of Sanhua plum fruit and a fruit sorting device 2 for sorting the sugar content of Sanhua plum fruit, wherein the spectrum collection device 1 is fixed to the top of the fruit sorting device 2 and is connected to the fruit sorting device 2, so that the Sanhua plum fruit can fall from the spectrum collection device 1 into the fruit sorting device 2;

[0036] The spectrum acquisition device 1 includes a detection frame 101 and a photoelectric switch 102, wherein the detection frame 101 is square in design and connected up and down, and two groups of photoelectric switches 102 are provided, and the two groups of photoelectric switches 102 are symmetrically fixed to the inner walls of the left and right sides of the detection frame 101 by screws, and the front and back sides of the detection frame 101 are respectively provided with a light source port 103 and an optical fiber port 104, the light source port 103 and the optical fiber port 104 are on the same central axis and are adapted to each other, the light source port 103 is used for external light source incident, and the optical fiber port 104 is used as an external spectrometer to provide a spectrum sampling port;

[0037] The fruit sorting device 2 includes a first sorting box 201 and a first motor 202, wherein the first sorting box 201 is fixed to the bottom end of the detection frame 101 by bolts and communicates with the detection frame 101, the second motor 202 is fixed to the outer wall of the first sorting box 201 by bolts, the output shaft of the first motor 202 passes through the first sorting box 201 through a bearing and is fixed with a first baffle 203, the first baffle 203 is controlled to rotate by the first motor 202, so as to form a sorting channel in the first sorting box 201, and the bottom end of the first sorting box 201 is fixed with a second motor 202 by bolts. There are two sorting boxes 204, and the second sorting box 204 is connected with the first sorting box 201. The outer wall of the second sorting box 204 is fixed with a second motor 205 by bolts. The output shaft of the second motor 205 passes through the second sorting box 204 through a bearing and is fixed with a second baffle 206. The second baffle 206 is controlled to rotate by the second motor 205 to form a sorting channel in the second sorting box 204. The first sorting box 201 and the second sorting box 204 are both provided with discharge ports on their front sides and a guide plate is fixed at the discharge port to guide the sorted Sanhua plum fruits.

[0038] In this embodiment, the Sanhua plum fruits pass through the feeding device and fall vertically one by one into the detection box 101, that is, they fall freely. When the Sanhua plum fruits pass through the center of the detection box 101, the photoelectric switches 102 on both sides are triggered. In the case of no obstacles (Sanhua plum fruits), the light emitted by the transmitter is directly detected by the receiver, and the photoelectric switch 102 is in the "ON" state. When there is an obstacle (Sanhua plum fruit) passing through the light beam path, the light beam is blocked or reflected, resulting in the receiver being unable to detect enough light. The photoelectric switch 102 switches to the "OFF" state and generates a rising edge signal.

[0039] The detection frame 101 is internally fixed with light-blocking plates 105 which are symmetrically distributed on the left and right by bolts. The light source port 103 and the optical fiber port 104 are located between the two groups of light-blocking plates 105. The light-blocking plates 105 are provided with through grooves 106 which are matched with the photoelectric switches 102. The light-blocking plates 105 will block the influence of the light source on the photoelectric switch 102, so that the photoelectric switch 102 can be triggered as quickly as possible.

[0040] An incident light source is provided on one side of the light source port 103 close to the outside of the detection frame 101. After experimental testing, it was found that both 50W and 75W light sources could not penetrate the Sanhua plum fruit, so that an effective spectrum could not be obtained. Therefore, a 100W incandescent lamp is used as the incident light source at the light source port 103 of this embodiment.

[0041] A spectrometer is provided on one side of the optical fiber port 104 close to the outside of the detection box 101. The spectrometer at the optical fiber port 104 adopts a hard trigger mode. When an external rising edge signal is transmitted to the spectrometer at the optical fiber port 104, the spectrometer at the optical fiber port 104 starts to collect the spectrum of the current object.

[0042] The two groups of photoelectric switches 102 are opposite-beam photoelectric switches. Compared with diffuse reflection type, opposite-beam photoelectric switches have better stability, faster response speed, and stronger anti-interference ability, and can achieve longer-distance detection. When a Sanhua plum fruit passes between the two groups of photoelectric switches 102, the photoelectric switch 102 detects the Sanhua plum fruit and generates an electrical signal, i.e., a rising edge signal. The rising edge signal refers to the moment when the signal changes rapidly from a low level (0 volts) to a high level (5 volts). This signal change can be used as a trigger event to enable the spectrometer at the optical fiber port 104 to start performing a spectrum acquisition operation to collect the spectrum information of the current Sanhua plum fruit, thereby achieving the effect of collecting the spectrum of the Sanhua plum fruit during the free fall of the Sanhua plum fruit.

[0043] The spectrum information of the plum can be obtained through the judgment and analysis of the spectrometer. This spectrum information is first transmitted to the host computer, and then the host computer obtains the sugar content information of the plum through CARS-PLSR sugar content model analysis. The host computer transmits this sugar content information to the single-chip microcomputer through serial communication. The single-chip microcomputer makes a judgment to control the forward and reverse rotation of the first motor 202 and the second motor 205, thereby controlling the rotation of the first baffle 203 and the second baffle 206 respectively. When the first baffle 203 and the second baffle 206 rotate to the top, they will get stuck to form a channel, and the sorting of Sanhua plum fruits can be completed.

[0044] The first motor 202 controls the first baffle 203 to rotate to the top at a speed greater than the falling speed of the Sanhua plum fruit, and the second motor 205 controls the second baffle 206 to rotate to the top at a speed greater than the falling speed of the Sanhua plum fruit, to ensure that a channel has been formed when the Sanhua plum fruit falls, so as to facilitate the sorting of the Sanhua plum.

[0045] The spectrum collection device 1 provided in this embodiment was used to conduct spectrum collection experiments on Sanhua plum fruits. The first batch of experiments selected 120 extra-large fruits with an average mass of 61.2 g and an average diameter of 4.91 cm. The second batch of experiments selected 110 large fruits with an average mass of 49.34 g and an average diameter of 4.33 cm.

[0046] The first batch of experiments mainly analyzed the integration time. Three gradients were set for the integration time. The release was performed at the same height and the spectral data was collected. The original spectrum collected was as follows: Figure 5 As shown ( Figure 5Part a is the 10ms+5cm group, part b is the 15ms+5cm group, and part c is the 20ms+5cm group). The first batch of experimental parameter changes are shown in Table 1:

[0047] Table 1 The first batch of experimental parameter changes

[0048]

[0049] The preprocessing used is SG smoothing algorithm and SNV (Standard Normal Variate) preprocessing. The spectrum after SG preprocessing is as follows Figure 6 As shown, the spectrum after SNV preprocessing is as follows Figure 7 As shown;

[0050] The preprocessed spectral data is then subjected to CARS feature extraction, and a partial least squares regression model is established using the extracted features. The data obtained are as follows: Figure 8 As shown in Table 2 below:

[0051] Table 2 Data table of the first batch of experimental CARS-PLSR models

[0052]

[0053] Among them, a is the test set and b is the prediction set;

[0054] In summary, for the large-sized Sanhua plum fruit, it is more reasonable to take an integration time of about 15ms. Taking a larger integration time will collect too much invalid information, and taking a smaller integration time will lead to missing the optimal collection interval, resulting in poor performance of the model.

[0055] The second batch of experiments mainly analyzed the integration time and release height. The original spectra collected in the second batch of experiments are shown in the figure below. Fig. 9 As shown ( Fig. 9 Part a is the 8ms+2.5cm group, part b is the 10ms+2.5cm group, part c is the 8ms+5cm group, part d is the 10ms+5cm group, part e is the 8ms+7.5cm group, and part f is the 10ms+7.5cm group. The second batch of experimental parameter changes are shown in Table 3 below:

[0056] Table 3 Changes in the second batch of experimental parameters

[0057]

[0058] The same preprocessing method as the first batch of experiments was used. The spectrum after SG preprocessing is shown in Fig.10 As shown, the spectrum after SNV preprocessing is as follows Fig.11 As shown;

[0059] CARS feature extraction is performed on the preprocessed spectral data, and the extracted features are used to establish a partial least squares regression model. The obtained data are as follows Fig.12 As shown in Table 4 below:

[0060] Table 4 Data table of the second batch of Sanhua plum experiment CARS-PLSR model

[0061]

[0062]

[0063] Among them, a is the test set and b is the prediction set;

[0064] In summary, for the large-fruited Sanhua plum, an integration time of about 8ms is more reasonable. A larger integration time will collect too much invalid information, and a smaller integration time will cause the optimal collection interval to be missed, resulting in poor performance of the model.

[0065] Embodiment 2

[0066] See also Fig.13 For Example 1, this embodiment provides a control method for a Sanhua plum sugar content sorting device based on near-infrared spectroscopy, comprising the following steps: the Sanhua plum fruits to be sorted are dropped one by one into the spectrum collection device 1 in a free fall manner through an external feeding device. When the Sanhua plum fruits fall to the center position inside the detection box 101, the photoelectric switches 102 on both sides are triggered. At this time, the photoelectric switches 102 generate a rising edge signal to the spectrometer at the optical fiber port 104. When an external rising edge signal is transmitted to the spectrometer, the light incident into the detection box 101 through the light source port 103 penetrates the Sanhua plum fruit and transmits the signal to the optical fiber port 104. Optical fiber port 104, after receiving the signal through optical fiber port 104, the spectrometer starts to collect the spectrum information of the current Sanhua plum fruit, and the sugar content of the Sanhua plum fruit is obtained through judgment and analysis by the spectrometer. The sugar content information is then transmitted to the host computer by the spectrometer, and then the host computer uses serial port communication to transmit the sugar content information to the single-chip microcomputer, and the single-chip microcomputer makes a judgment and controls the first motor 202 and the second motor 205 to drive the first baffle 203 and the second baffle 206 to rotate respectively. After the first baffle 203 and the second baffle 206 rotate to the top, they get stuck and form a sorting channel respectively. The Sanhua plum fruit falls along the sorting channel to realize the sugar content sorting of the Sanhua plum fruit.

[0067] In this embodiment, the number of motors in the fruit sorting device 2 is determined according to the number of sugar content sorting gradients of the Sanhua plum fruit. The number of sugar content sorting gradients of the Sanhua plum fruit = the number of motors + 1. In this embodiment, two groups of motors including the first motor 202 and the second motor 205 are provided. The number of sugar content sorting gradients of the Sanhua plum fruit is three. The overall operation logic is as follows:

[0068] If the sugar content is the first gradient, the rotation flags of the first motor 202 and the second motor 205 are detected (1 represents rotation, 0 represents not rotation). If the first motor 202 is in the rotation state, it does not need to be rotated. If it is not rotation, the first motor 202 is rotated forward, stops after a period of rotation, and rotates to the flag position 1, which represents rotation. If the second motor 205 is not rotation, it does not need to be rotated. If it is rotation, the second motor 205 is reversed, stops after a period of rotation, and returns to the starting position.

[0069] If the sugar content is the second gradient, the rotation flags of the first motor 202 and the second motor 205 are still detected (1 represents rotation, 0 represents not rotation). If the first motor 202 is in the rotation state, the first motor 202 is reversed, reversed for a period of time, and returned to the starting position. If it is not rotated, it does not need to be rotated. If the second motor 205 is not rotating, the second motor 205 is rotated forward, stops after a period of forward rotation, and rotates to the flag position 1, which represents rotation. If the second motor 205 is in the rotation state, the second motor 205 does not need to be rotated.

[0070] If the sugar content is the third gradient, the rotation flag positions of the first motor 202 and the second motor 205 are detected at this time. As long as the first motor 202 and the second motor 205 are in a rotating state, they are retracted. If the first motor 202 and the second motor 205 are in a non-rotating state, they do not need to be rotated. In this way, the rotation control of the first baffle 203 and the second baffle 206 is completed, so that the plums (Sanhua plum fruits) are sorted.

[0071] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A Sanhua plum sugar content sorting device based on near infrared spectroscopy, comprising a spectrum collection device (1) and a fruit sorting device (2), characterized in that: The spectrum collection device (1) is fixed on the top of the fruit sorting device (2), and comprises a detection frame (101) and photoelectric switches (102) symmetrically fixed to the inner walls of both sides of the detection frame (101); the detection frame (101) is arranged in a square shape and has upper and lower openings communicating with each other; the inner walls of the other two sides of the detection frame (101) where the photoelectric switches (102) are not arranged are respectively provided with light source ports (103) and optical fiber ports (104) that are adapted to each other; The fruit sorting device (2) comprises a first sorting box (201) fixed to the bottom end of the detection frame (101) and connected thereto, and a first motor (202) fixed to the outer wall of the first sorting box (201), the output shaft of the first motor (202) passing through the first sorting box (201) via a bearing and being fixed with a first baffle (203), a second sorting box (204) communicating therewith being fixed to the bottom end of the first sorting box (201), a second motor (205) being fixed to the outer wall of the second sorting box (204), the output shaft of the second motor (205) passing through the second sorting box (204) via a bearing and being fixed with a second baffle (206).

2. The device for sorting the sugar content of Sanhua plums based on near infrared spectroscopy according to claim 1, characterized in that: Light shielding plates (105) are symmetrically fixed inside the detection frame (101), the light source port (103) and the optical fiber port (104) are located between two groups of light shielding plates (105), and the light shielding plates (105) are provided with through slots (106) adapted to the photoelectric switches (102).

3. The device for sorting the sugar content of Sanhua plums based on near infrared spectroscopy according to claim 1, characterized in that: An incident light source is provided on one side of the light source port (103) close to the outside of the detection frame (101), and the incident light source at the light source port (103) is a 100W incandescent lamp.

4. The device for sorting the sugar content of Sanhua plums based on near infrared spectroscopy according to claim 1, characterized in that: A spectrometer is provided on one side of the optical fiber port (104) close to the outside of the detection box (101); the spectrometer at the optical fiber port (104) adopts a hard trigger mode; when an external rising edge signal is transmitted to the spectrometer at the optical fiber port (104), the spectrometer at the optical fiber port (104) starts to collect the spectrum of the current object.

5. The device for sorting the sugar content of Sanhua plums based on near infrared spectroscopy according to claim 1, characterized in that: The two groups of photoelectric switches (102) are opposing photoelectric switches. When a Sanhua plum fruit passes between the two groups of photoelectric switches (102), the photoelectric switch (102) detects the obstacle and generates a rising edge to the spectrometer at the optical fiber port (104). After receiving the signal, the spectrometer at the optical fiber port (104) collects current spectral information.

6. The device for sorting the sugar content of Sanhua plums based on near infrared spectroscopy according to claim 1, characterized in that: The first motor (202) controls the first baffle (203) to rotate to the top at a speed greater than the falling speed of the Sanhua plum fruit, and the second motor (205) controls the second baffle (206) to rotate to the top at a speed greater than the falling speed of the Sanhua plum fruit.

7. A control method for a Sanhua plum sugar content sorting device based on near infrared spectroscopy, applied to any one of claims 1 to 7, characterized in that: The following steps are involved: The Sanhua plum fruits to be sorted are dropped into the spectrum collection device (1) one by one in a free-falling manner through an external loading device. When the Sanhua plum fruits drop to the center position inside the detection box (101), the photoelectric switches (102) on both sides are triggered. At this time, the photoelectric switches (102) generate a rising edge signal to the spectrometer at the position of the optical fiber port (104). When an external rising edge signal is transmitted to the spectrometer, the light incident into the detection box (101) through the light source port (103) penetrates the Sanhua plum fruits and transmits the signal to the optical fiber port (104). The spectrometer receives the signal through the optical fiber port (104). After the signal is received, the spectrum information of the current Sanhua plum fruit is collected, and the sugar content of the Sanhua plum fruit is obtained through judgment and analysis by the spectrometer. The sugar content information is then transmitted to the host computer by the spectrometer, and then the host computer transmits the sugar content information to the single-chip microcomputer through serial communication. The single-chip microcomputer makes a judgment and controls the first motor (202) and the second motor (205) to respectively drive the first baffle (203) and the second baffle (206) to rotate. After the first baffle (203) and the second baffle (206) rotate to the top, they get stuck and form a sorting channel respectively. The Sanhua plum fruit falls along the sorting channel, thereby realizing the sugar content sorting of the Sanhua plum fruit.

8. The control method of the Sanhua plum sugar content sorting device based on near infrared spectroscopy according to claim 7 is characterized in that: The number of motors in the fruit sorting device (2) is determined according to the number of sugar content sorting gradients of the Sanhua plum fruit, and the number of sugar content sorting gradients of the Sanhua plum fruit=the number of motors+1.

Images