CN115190825A - Intelligent photoelectric separator and product separation method - Google Patents

Intelligent photoelectric separator and product separation method Download PDF

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Publication number
CN115190825A
CN115190825A CN202080097700.0A CN202080097700A CN115190825A CN 115190825 A CN115190825 A CN 115190825A CN 202080097700 A CN202080097700 A CN 202080097700A CN 115190825 A CN115190825 A CN 115190825A
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sorted
product
ray
products
label
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李太友
梁兴国
葛小东
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Tianjin Meiteng Technology Co Ltd
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Tianjin Meiteng Technology Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting 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
    • B07C5/34Sorting according to other particular properties

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  • Sorting Of Articles (AREA)
  • Separation, Sorting, Adjustment, Or Bending Of Sheets To Be Conveyed (AREA)

Abstract

An intelligent photoelectric separator and its product separation method are disclosed. The intelligent photoelectric sorting machine comprises a belt transmission mechanism (4), a distinguishing device and a material collecting mechanism (9); the belt transmission mechanism (4) is arranged to convey various products to be sorted; the distinguishing device is used for distinguishing various products to be sorted and defining the various products to be sorted one by one according to different label numbers; the material collecting mechanism (9) comprises a plurality of material collecting channels, each material collecting channel is electrically connected with the distinguishing device, is set to identify the label number corresponding to the material collecting channel, and controls the product to be sorted corresponding to the label number to enter the material collecting channel.

Description

Intelligent photoelectric separator and product separation method Technical Field
The application relates to the technical field of dry sorting, for example, to an intelligent photoelectric sorting machine and a product separation method.
Background
The intelligent dry separation technology is widely applied to the fields of coal, minerals, food, garbage, building materials and the like, and the separation mode is divided into two processes of identification and separation. The execution process is that the materials are flatly laid on the moving distributor, and the identification mechanism identifies each material in the modes of images, colors, X-ray transmission, X-ray fluorescence and the like. After the materials are identified, the falling tracks of the materials are changed through sorting, or through hitting of an elastic part or instantaneous high-pressure air blowing in the process that the materials are dropped from the tail end of the distributing device, so that the separation of the materials is realized.
In the related technology, the intelligent dry separation can only separate two products, and the separation of subsequent products is influenced due to the fact that the identification mechanism cannot effectively define the products after identification.
In addition, the X-ray sorting machine carries out detection based on the transmission high-low dual-energy X-ray detection principle, and due to the adoption of continuous spectrum X-rays, the high energy and the low energy are not clearly distinguished, and the overlapping influence is serious; and the thickness of the detection substance is not uniform. Although the influence caused by the thickness difference of part of detected materials is eliminated through an algorithm according to the information of two dimensions of high energy and low energy, the detection error caused by nonuniform material thickness is still very large, and especially the materials with similar atomic numbers cannot be effectively identified.
Disclosure of Invention
The application provides an intelligent photoelectric separator and a product separation method.
An intelligent photoelectric separator comprises a belt transmission mechanism, a distinguishing device and a material collecting mechanism; the belt transmission mechanism is arranged for conveying various products to be sorted; the distinguishing device is set to distinguish the products to be sorted and define the products to be sorted by different labels one by one; the collecting mechanism comprises a plurality of collecting channels, the number of the collecting channels is the same as the number of the categories of the products to be sorted, each collecting channel is electrically connected with the distinguishing device, is set to identify the label corresponding to the collecting channel, and controls the products to be sorted corresponding to the label to enter the collecting channel.
A product separation method of an intelligent photoelectric separator comprises the following steps:
sequentially defining a first label to an Nth label for the N products to be sorted from at least one sequence according to the proportion of the N products to be sorted in the N products to be sorted respectively, wherein N is greater than 1;
setting N material collecting channels corresponding to the first label to the Nth label in sequence from the nearest end of the belt transmission mechanism;
controlling the products to be sorted to enter a distinguishing device after passing through a tiling device;
controlling an X-ray linear array detector to obtain an X-ray continuous energy spectrum equivalent energy attenuation rate of the product to be sorted, and obtaining first probabilities of different labels corresponding to the product to be sorted according to the X-ray continuous energy spectrum equivalent energy attenuation rate;
controlling an X-ray fluorescence receiver to obtain fluorescence spectrum information of the product to be sorted, and obtaining a second probability that the product to be sorted corresponds to the different labels according to the fluorescence spectrum information;
controlling an image identification system to obtain image information of the product to be sorted, and obtaining a third probability that the product to be sorted corresponds to the different labels according to the image information;
weighting and summing the obtained probabilities of the same labels of the products to be sorted to obtain the probability of each label corresponding to the products to be sorted;
judging a label corresponding to the product to be sorted according to a preset threshold value of the set probability;
the determined labels are transmitted to the N material collecting channels, and are compared with the labels corresponding to the N material collecting channels, and the material collecting channel corresponding to the product to be sorted is determined;
controlling the material collecting channel to transmit a signal to an electromagnetic valve according to the label corresponding to the material collecting channel;
and controlling an air nozzle to blow the product to be sorted into the material collecting channel through the electromagnetic valve.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent photoelectric classifier provided by the present application;
fig. 2 is a flow chart of a sorting method of the intelligent photoelectric sorting machine provided by the application.
In the figure:
1. a cleaning mechanism; 2. an X-ray system; 21. an X-ray emitting mechanism; 22. an X-ray linear array detector; 23. an X-ray fluorescence receiver; 3. an image recognition system; 4. a belt drive mechanism; 5. a feeding mechanism; 6. a tiling device; 7. a gas storage tank; 8. an air nozzle; 9. and a material collecting mechanism.
Detailed Description
The technical solution of the present application will be described below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are merely illustrative of the present application and are not intended to be limiting of the present application. For the convenience of description, only those portions relevant to the present application are illustrated in the drawings, not all.
In the description of the present application, unless specified or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly and may include, for example, fixed and removable connections; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The meaning of the above terms in the present application can be understood according to circumstances.
As shown in fig. 1, the present application provides an intelligent photoelectric sorting machine, which comprises a belt transmission mechanism 4, a distinguishing device and a material collecting mechanism 9; the belt transmission mechanism 4 is arranged to convey various products to be sorted; the distinguishing device is set to distinguish various products to be sorted and define the various products to be sorted one by one according to different labels, the collecting mechanism 9 comprises a plurality of collecting channels, the number of the collecting channels is the same as the number of the various products to be sorted, each collecting channel is electrically connected with the distinguishing device, the distinguishing device is set to identify the label corresponding to the collecting channel, and the products to be sorted corresponding to the label are controlled to enter the collecting channel.
In one embodiment, the number of the plurality of aggregate lanes is greater than or equal to a predetermined number of product categories.
In an embodiment, this sorter still includes tiling device 6, and tiling device 6 sets up in belt drive mechanism 4's below, and tiling device 6 orders about belt drive mechanism 4's conveyer belt vibration to the product that the messenger waits to sort is tiled on the conveyer belt, avoids waiting to sort the product and is piling up, leads to follow-up differentiation and sorting inaccuracy. In this embodiment, the spreading device 6 is a vibrator that can vibrate the conveyor belt, and in other embodiments, it may be a vibrating mechanism of another form as long as it can vibrate the conveyor belt to spread the products to be sorted on the conveyor belt.
In one embodiment, the cleaning mechanism 1 is arranged above one end of the belt transmission mechanism 4, the cleaning mechanism 1 comprises a dust hood and a dust collector connected with the dust hood, and the dust collector can adsorb dust generated in the product sorting process through the dust hood to avoid dust pollution to air.
In one embodiment, the sorting machine further comprises a feeding mechanism 5, the feeding mechanism 5 is arranged above the belt transmission mechanism 4, conveyed products to be sorted slide to the belt transmission mechanism 4 through the feeding mechanism 5, and the feeding mechanism 5 enables the products to be sorted to slide to the conveying belt smoothly, so that the products to be sorted are prevented from being adhered/overlapped on the conveying belt, and the follow-up failure in effective distinguishing and sorting is avoided. The feeding mechanism 5 in this embodiment is a vibrating feeder, and in other embodiments, may also be a chute or a sliding plate, etc., which is not limited herein.
In an embodiment, the discriminating means comprises an X-ray system 2 and/or an image discriminating system 3. The distinguishing device in the embodiment comprises an X-ray system 2 and an image distinguishing system 3, wherein the X-ray system 2 can perform ray distinguishing on the products to be sorted according to the photoelectric properties of the products to be sorted, and the image distinguishing system 3 can perform image distinguishing on the products to be sorted according to the image properties of the products to be sorted. In one embodiment, the X-ray system 2 collects the atomic number of the product equivalent to the pixel of the product picture, when the X-ray penetrates the object with low tissue density, the X-ray absorbs less amount and the X-ray remains more, so the formed picture is brighter, and when the X-ray penetrates the object with high tissue density, the X-ray absorbs more amount and the X-ray remains less, so the formed image is darker, and finally different atomic numbers in the unit volume of the image with black-white contrast and light-dark contrast are formed on the screen to represent different products.
The two systems are matched to confirm the category of the product more accurately, wherein the X-ray system 2 comprises an X-ray emitting mechanism 21, an X-ray fluorescent receiver 23 and an X-ray linear array detector 22, X-rays emitted by the X-ray emitting mechanism 21 and having continuous energy spectrums are transmitted through the product to be sorted, received by the X-ray linear array detector 22, reflected by the product to be sorted and received by the X-ray fluorescent receiver 23, the image distinguishing system 3 obtains image information of the product to be sorted, obtains category information of the product to be sorted according to a voting weight mechanism together with the X-ray photoelectron energy spectrum and the X-ray fluorescent spectrum so as to judge the category of the product, defines various products by different labels one by one and transmits the labels to a collecting channel. In one embodiment, the X-ray light source emits a continuous energy spectrum, after the continuous energy spectrum is transmitted by the products to be sorted, due to different product densities, the X-ray linear array detector 22 receives X-rays to calculate and obtain the equivalent energy attenuation rate of the continuous energy spectrum of the products to be sorted, and the probability of which label the products are is judged; the X-ray source emits a continuous energy spectrum, which is reflected by the product to be sorted, and then excites a fluorescence spectrum, which is received by the X-ray fluorescence receiver 23, and the probability of which label the product is determined according to the received fluorescence spectrum.
In other embodiments, where the requirement for the identification accuracy is not high, the identification device may only include the X-ray system 2, and the X-ray system 2 performs the ray identification on the product to be sorted according to the photoelectric property of the product to be sorted, and defines a plurality of products with different labels one by one, and transfers the labels to the collecting channel.
In one embodiment, the belt transmission mechanism 4 includes a driving member, and a driving roller and a driven roller which are spaced and arranged side by side, the conveying belt is wound around the driving roller and the driven roller, and the driving roller and the driven roller are connected through the conveying belt. The output shaft of driving piece is connected with the drive roll transmission, can connect the driving piece through belt, shaft coupling or gear assembly transmission and can drive the drive roll and rotate to drive the conveyer belt and carry the product of treating the letter sorting. In this embodiment, the driving member is a motor, for example, a speed-adjustable servo motor, a stepping motor or a speed-reducing motor, and the driving member can control the rotation speed of the conveying belt, so as to control the conveying speed of the product and avoid interference when two adjacent products fall at an excessively high speed.
In one embodiment, the classification component comprises an air nozzle 8, an air storage tank 7 and an air compressor, wherein the air nozzle 8 is arranged below and/or obliquely above the belt transmission mechanism 4, and the arrangement position and the arrangement number are designed according to actual requirements on site. The air storage tank 7 is connected to the air nozzle 8 and can provide high-pressure air for the air nozzle 8, the air nozzle 8 is located at one end where a product falls, and the air nozzle 8 is provided with an electromagnetic valve which is electrically connected with the material collecting channel. When the products with the same labels are transmitted, the electromagnetic valve is controlled by the material collecting channel to control the air nozzle 8 to blow air, so that the products enter the corresponding material collecting channel. The air compressor is connected to the air tank 7, and is capable of supplying high-pressure gas to the air tank 7, and a pressure sensor is provided in the air tank 7, and whether to supply high-pressure gas to the air tank 7 is determined according to a detection value of the pressure sensor. Air nozzle 8 is provided with two rows in this embodiment, and one row is the nozzle of a large size, and one row is nozzle of a small size, and the intensity of nozzle of a large size spun is big, and the distance of jetting with the product is far away, and the intensity of nozzle of a small size spun is little, and with product spun distance inferior, the distance that is not moved forward under the effect of the inertia force of belt drive mechanism 4 by the product of jetting is minimum.
In one embodiment, since the storage point is fixed, specific types of products must be stored, but the proportion of the multiple types of products to be sorted is different among different batches of products, in order to save energy and reduce sorting errors, the products with the larger proportion generally fall into the collecting channel close to the belt transmission mechanism 4, the products with the smallest proportion are blown into the collecting channel farthest from the belt transmission mechanism 4, and the products with the middle proportion are blown into the collecting channel in the middle. The products in each collecting channel are conveyed to the corresponding stock points by the conveying mechanism. In this embodiment, the first labeled product enters the collecting channel adjacent to the belt drive 4; the products of the second label enter the middle collecting channel under the drive of the small-size nozzle, and the products of the third label enter the collecting channel farthest from the belt transmission mechanism 4 under the drive of the large-size nozzle. To ensure that the first label is the most product specific, the most specific needs need to be defined as the first label before sorting.
The application provides an intelligence photoelectric sorting machine, belt drive mechanism 4 on it will treat the product of letter sorting carry to when discerning the below of device, it differentiatees the product of treating the letter sorting to discern the device, and with the multiple product of different label one-to-one definitions, the passageway that gathers materials is connected with discerning the device electricity, can discern the label that corresponds with this passageway that gathers materials, and the air nozzle 8 on the control classification subassembly will correspond the product of label and blow to the passageway that gathers materials that corresponds, define the product through adopting different labels, the discernment of multiple product has been made things convenient for, and make the product get into the passageway separation that gathers materials that corresponds.
As shown in fig. 2, this embodiment further provides a product separation method for an intelligent photoelectric sorting machine, which is suitable for the intelligent photoelectric sorting machine, and includes the following steps:
s10, products to be sorted are sequentially defined as a first label, a second label and an Nth label.
And S20, marking the material collecting channel from the nearest end of the belt transmission mechanism 4 according to the number of labels in sequence from large to small.
And S30, products to be sorted enter the distinguishing device after passing through the spreading device 6.
S40, the X-ray linear array detector 22 obtains the equivalent energy attenuation rate of the X-ray continuous energy spectrum of the product to be sorted, and the probability that the product to be sorted is the label defined above is judged.
S50, the image identification system 3 obtains the image information of the product to be sorted and judges the probability that the article to be sorted is the label defined above.
S60, the X-ray fluorescence receiver 23 obtains fluorescence spectrum information of the products to be sorted, and the probability that the articles to be sorted are the defined labels is judged.
And S70, carrying out weight summation on the probabilities of the same labels obtained in the steps S40-S60 to obtain the probability of each label.
S80, judging that the product is the label of the number of the labels according to a preset threshold value of the probability corresponding to the set product to be sorted.
And S90, transmitting the determined label signal to the material collecting channel, and comparing the signal with the label marked by the material collecting channel.
S100, the material collecting channel transmits signals to the sorting mechanism according to the label corresponding to the channel.
S110, the sorting mechanism controls the electromagnetic valve so as to control the air nozzles 8 to respectively spray the products to be sorted into the corresponding channels.
In one embodiment, the product separation method of the intelligent photoelectric sorting machine comprises the following steps: sequentially defining a first label to an Nth label for N types of products from at least one more sequence according to the preset ratio corresponding to the N types of products, wherein N is greater than 1; setting N material collecting channels sequentially corresponding to the first label to the Nth label from the nearest end to the belt transmission mechanism 4; controlling the products to be sorted to enter a distinguishing device after passing through a spreading device 6; controlling an X-ray linear array detector 22 to obtain an X-ray continuous energy spectrum equivalent energy attenuation rate of the product to be sorted, and obtaining first probabilities of the product to be sorted corresponding to different label numbers according to the X-ray continuous energy spectrum equivalent energy attenuation rate; controlling an X-ray fluorescence receiver 23 to obtain fluorescence spectrum information of the product to be sorted, and obtaining a second probability that the product to be sorted corresponds to different label numbers according to the fluorescence spectrum information; controlling an image identification system 3 to obtain image information of the product to be sorted, and obtaining a third probability that the product to be sorted corresponds to different label numbers according to the image information; the obtained probabilities of the same label numbers of the products to be sorted are subjected to weight addition, and the probability of each label number corresponding to each product to be sorted is obtained; judging the label number corresponding to the product to be sorted according to a preset threshold value of the set probability; transmitting the determined label numbers to the N material collecting channels, comparing the label numbers with the label numbers corresponding to the N material collecting channels, and determining the material collecting channels corresponding to the products to be sorted; controlling the material collecting channel to transmit a signal to an electromagnetic valve according to a label corresponding to the material collecting channel; and controlling an air nozzle 8 to blow the product to be sorted into the material collecting channel through the electromagnetic valve.
Optionally, the parameter μ is an X-ray continuous spectrum equivalent energy attenuation rate of the product to be sorted, and the calculation method of μ is as follows:
μ=(μ1/μn)×[n/(1+2+...+n)]+μ2/μ(n-1)×[(n-1)/(1+2+...+n)]+...+(μn/2)/(μn/2+1)×[(n/2+1)/(1+2+...+n)];
wherein, mu 1 is the energy attenuation rate at 1Kev energy level after the ray penetrates the substance; mu 2 is the energy attenuation rate at 2Kev energy level after the ray transmits the substance; mu n is the energy attenuation rate of nKev energy level after the ray transmits the substance; n is the maximum energy level of the X-ray system and n is an even number.
In the related technology, high-energy and low-energy spectrums are adopted for transmission, a transmission full-energy spectrum detection algorithm is adopted in the method, transmission X rays of multiple energy levels are calculated, the boundaries of the multiple energy levels are clear, the data dimensionality is rich, and the problem that the high-energy and low-energy boundaries of continuous spectrum X ray identification are not clear is solved; through the multi-dimensional data, the influence of the thickness difference of the detected product on the detection result is effectively eliminated.
In one embodiment, because the products with a larger percentage in the products to be sorted each time are not completely the same, for example, in coal mine sorting, coal is sorted and gangue is discharged when the coal percentage is large, and gangue is sorted and coal is discharged when the gangue percentage is large, for the field of grain color sorting or the field of solid waste sorting, the types of the products to be sorted change, and the products with a larger percentage in each batch of products change, the products with the largest number need to be defined as the first label, so that the number of times of blowing in sorting is saved.
For products near a threshold value, misjudgment often occurs, particularly in the field of coal dressing, the X-ray equivalent energy attenuation rate of a coal block containing gangue and gangue containing coal is close to or even the same as that of the coal or gangue due to different content of the coal or gangue, and misjudgment occurs in sorting under the condition. The setting of the weight is not limited to the above values, and is set and adjusted according to the characteristics of different products to be selected in different fields.
In one embodiment, the X-ray continuum, the image identification system, and the X-ray fluorescence are respectively compared and defined according to the preset threshold, and then the label probabilities obtained in each manner are voted by the weight, for example, the X-ray continuum identifies that the product is the first label with a probability of 80% and the second label with a probability of 20%, the image identification system identifies that the product is the first label with a probability of 70% and the second label with a probability of 30%, the X-ray fluorescence identifies that the product is the first label with a probability of 40% and the second label with a probability of 60%, the weight of the X-ray continuum is set to 0.7, setting the weight ratio of an image recognition system to be 0.2, setting the weight ratio of X-ray fluorescence to be 0.1, after weight voting, the first label is 0.8 × 0.7+0.2 × 0.7+0.1 × 0.4=0.74, the second label is 0.7 × 0.2 × 0.3+0.1 × 0.6=0.26, when the first label is greater than 0.6, the article is judged to be the first label, if the preset threshold value is defined, when the first label is greater than 0.75, the first label is judged to be the first label, the obtained ticket is judged to be the second label, the preset threshold value is defined according to product characteristics, and the setting of the threshold value is set according to product characteristics and is not limited to the setting; the method and the device adopt three identification modes to respectively identify, and finally calculate and compare according to a weight voting mode to obtain the category of the product.
This application adopts X ray discernment, image to distinguish system, supplementary discernment of X ray fluorescence spectrum to adopt voting weight mechanism, through weight add with the back, the label that accounts for than the biggest is identified as this product, has improved the precision of letter sorting greatly, has reduced mistake fraction.

Claims (11)

  1. An intelligent photoelectric separator comprises a belt transmission mechanism (4), a distinguishing device and a material collecting mechanism (9);
    the belt transmission mechanism (4) is arranged to convey various products to be sorted;
    the distinguishing device is used for distinguishing the products to be sorted and defining the products to be sorted one by one according to different label numbers;
    the collecting mechanism (9) comprises a plurality of collecting channels, each collecting channel is electrically connected with the distinguishing device, is set to identify the label number corresponding to the collecting channel, and controls the product to be sorted corresponding to the label number to enter the collecting channel.
  2. The intelligent photoelectric classifier of claim 1, wherein the number of the plurality of aggregate channels is greater than or equal to a preset number of product categories.
  3. The intelligent photoelectric classifier of claim 1, further comprising a spreading device (6), wherein the spreading device (6) is disposed below the belt transmission mechanism (4), and the spreading device (6) is configured to drive a conveying belt of the belt transmission mechanism (4) to vibrate so that the plurality of products to be classified are spread on the conveying belt.
  4. The intelligent photoelectric separator according to claim 1, further comprising a cleaning mechanism (1), wherein the cleaning mechanism (1) is disposed above an end of the plurality of products to be separated, and the cleaning mechanism (1) is configured to remove dust generated from the plurality of products to be separated.
  5. The intelligent photoelectric separator according to claim 1, further comprising a feeding mechanism (5), wherein the feeding mechanism (5) is arranged above the belt transmission mechanism (4), and the feeding mechanism (5) is arranged to convey the plurality of products to be separated onto the belt transmission mechanism (4).
  6. The intelligent photoelectric classifier of claim 1, wherein the discrimination means includes at least one of: an X-ray system (2), an image discrimination system (3);
    the X-ray system (2) is arranged to perform ray discrimination on the plurality of products to be sorted;
    the image recognition system (3) is arranged to image-recognize the plurality of products to be sorted.
  7. An intelligent photoelectric classifier according to claim 6, wherein the X-ray system (2) comprises an X-ray emitting mechanism (21), an X-ray fluorescence receiver (23) and an X-ray line detector (22);
    the X-ray emitting mechanism (21) is configured to emit X-rays of a continuous energy spectrum;
    the X-ray linear array detector (22) is arranged to receive X-rays generated after the X-rays of the continuous energy spectrum are transmitted by each product to be sorted, and determine first probabilities that the products to be sorted correspond to different label numbers according to the received X-rays;
    the X-ray fluorescence receiver (23) is arranged for receiving X-ray fluorescence generated after X-ray of the continuous energy spectrum is reflected by each product to be sorted, and determining a second probability that the product to be sorted corresponds to different label numbers according to the received X-ray fluorescence;
    the image recognition system (3) is configured to obtain image information of each product to be sorted and determine a third probability that the product to be sorted corresponds to the different label numbers according to the image information;
    the identification device is arranged to obtain the label number corresponding to each product to be sorted according to a weighting mechanism according to at least one of the following items:
    the first probability and the second probability;
    the third probability;
    the first probability, the second probability, and the third probability.
  8. The intelligent photoelectric separator according to claim 3, wherein the belt transmission mechanism (4) comprises a driving member, a driving roller and a driven roller, the conveying belt is annular and is respectively sleeved outside the driving roller and the driven roller, the driving roller is connected with the driven roller through the conveying belt, and the driving member is in transmission connection with the driving roller.
  9. The intelligent photoelectric classifier of claim 1, further comprising a sorting assembly configured to blow each product to be classified into a collection channel corresponding to the product to be classified;
    the classification component comprises an air nozzle (8), an air storage tank (7) and an air compressor;
    the air nozzle (8) is arranged at one end of the belt transmission mechanism (4) where the products to be sorted fall, an electromagnetic valve is arranged on the air nozzle (8), and the electromagnetic valve is electrically connected with the collecting channels;
    the air storage tank (7) is arranged to provide high-pressure air for the air nozzle (8);
    the air compressor is arranged to supplement high-pressure air to the air storage tank (7).
  10. A product separation method of an intelligent photoelectric sorting machine, which is suitable for the intelligent photoelectric sorting machine according to any one of claims 1 to 9, and comprises the following steps:
    sequentially defining a first label to an Nth label for N types of products according to at least more than preset corresponding proportions of the N types of products, wherein N is greater than 1;
    setting N material collecting channels corresponding to the first label to the Nth label in sequence from the nearest end to the belt transmission mechanism (4);
    controlling the products to be sorted to enter a distinguishing device after passing through a spreading device (6);
    controlling an X-ray linear array detector (22) to obtain the X-ray continuous energy spectrum equivalent energy attenuation rate of the product to be sorted, and obtaining first probabilities of the product to be sorted corresponding to different label numbers according to the X-ray continuous energy spectrum equivalent energy attenuation rate;
    controlling an X-ray fluorescence receiver (23) to obtain fluorescence spectrum information of the product to be sorted, and obtaining a second probability that the product to be sorted corresponds to different label numbers according to the fluorescence spectrum information;
    controlling an image identification system (3) to obtain image information of the product to be sorted, and obtaining a third probability that the product to be sorted corresponds to different label numbers according to the image information;
    weighting and summing the obtained probabilities of the same label numbers of the products to be sorted to obtain the probability of each label number corresponding to the products to be sorted;
    judging the label number corresponding to the product to be sorted according to a preset threshold value of the set probability;
    transmitting the determined label numbers to the N collecting channels, comparing the label numbers with the label numbers corresponding to the N collecting channels, and determining the collecting channel corresponding to the product to be sorted;
    controlling the material collecting channel to transmit a signal to an electromagnetic valve according to the label corresponding to the material collecting channel;
    and controlling an air nozzle (8) to blow the product to be sorted into the aggregate channel through the electromagnetic valve.
  11. The method of claim 10, wherein μ is the X-ray continuous spectrum equivalent energy decay rate, and μ is calculated as follows:
    μ=(μ1/μn)×[n/(1+2+...+n)]+μ2/μ(n-1)×[(n-1)/(1+2+...+n)]+...+(μn/2)/(μn/2+1)×[(n/2+1)/(1+2+...+n)];
    wherein, mu 1 is the energy attenuation rate at 1Kev energy level after the ray penetrates the substance; mu 2 is the energy attenuation rate at 2Kev energy level after the ray transmits the substance; mu n is the energy attenuation rate at nKev energy level after the ray transmits the substance; n is the maximum energy level of the X-ray system and n is an even number.
CN202080097700.0A 2020-02-05 2020-02-05 Intelligent photoelectric separator and product separation method Pending CN115190825A (en)

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