CN108311402B - Multi-channel detecting and sorting device for shrunken walnuts - Google Patents
Multi-channel detecting and sorting device for shrunken walnuts Download PDFInfo
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- CN108311402B CN108311402B CN201810117142.4A CN201810117142A CN108311402B CN 108311402 B CN108311402 B CN 108311402B CN 201810117142 A CN201810117142 A CN 201810117142A CN 108311402 B CN108311402 B CN 108311402B
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- 235000020234 walnut Nutrition 0.000 title claims abstract description 162
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- 241000758789 Juglans Species 0.000 claims abstract description 120
- 235000009496 Juglans regia Nutrition 0.000 claims abstract description 120
- 238000001514 detection method Methods 0.000 claims abstract description 42
- 238000005303 weighing Methods 0.000 claims abstract description 39
- 238000003384 imaging method Methods 0.000 claims abstract description 24
- 239000000463 material Substances 0.000 claims abstract description 10
- 241000196324 Embryophyta Species 0.000 claims abstract 2
- 235000014571 nuts Nutrition 0.000 claims description 12
- 230000009467 reduction Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 8
- 230000009471 action Effects 0.000 claims description 7
- 230000001934 delay Effects 0.000 claims description 4
- 239000007921 spray Substances 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
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- 238000012545 processing Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 9
- 230000008901 benefit Effects 0.000 abstract description 3
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 239000003638 chemical reducing agent Substances 0.000 description 2
- 238000013170 computed tomography imaging Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- 244000144725 Amygdalus communis Species 0.000 description 1
- 241000208223 Anacardiaceae Species 0.000 description 1
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- 235000007466 Corylus avellana Nutrition 0.000 description 1
- 240000007049 Juglans regia Species 0.000 description 1
- 235000020224 almond Nutrition 0.000 description 1
- 235000020226 cashew nut Nutrition 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000011869 dried fruits Nutrition 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000000050 nutritive effect Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
- B07C5/365—Sorting apparatus characterised by the means used for distribution by means of air using a single separation means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
- B07C2501/0081—Sorting of food items
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
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- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Sorting Of Articles (AREA)
- Apparatuses For Bulk Treatment Of Fruits And Vegetables And Apparatuses For Preparing Feeds (AREA)
Abstract
The invention relates to a multi-channel detection and sorting device for a shrunken walnut, which consists of a feeding device, a conveying device, an online imaging detection device, an online weighing device, a speed reducing device, an airflow classification device and a frame. Realize the single material loading of a plurality of passageways simultaneously through loading attachment, install online imaging detection device above the loading conveyer belt, acquire walnut image information in real time, acquire walnut quality information in real time through online weighing device, and whether it is the flat walnut to go forward and judge through the method that walnut image information and quality information fuse, reject the flat walnut with the air-flow type grading plant at last. Compared with the prior art, the method can realize the on-line detection and sorting of the multi-channel shrunken walnuts, can improve the commodity quality and market price of the walnuts, reduces the labor intensity of manually sorting the shrunken walnuts, and improves the economic benefit.
Description
Technical Field
The invention relates to a multi-channel detection and sorting device for shriveled walnuts, in particular to a device for detecting and sorting specific shriveled walnuts, and belongs to the field of intelligent detection equipment for agricultural products.
Background
The walnut has high nutritive value and medical health care function, and is called as the world famous "four-big dried fruit" with the almonds, cashews and hazelnuts. In recent years, in order to improve various qualities of walnuts, related scholars at home and abroad research and development methods and equipment for detecting and grading various walnuts are mainly researched as follows: the Wangwei et al (2010) design a 6FG-900 walnut classifier which can classify according to the size of walnuts. The classifier uses a chain to drive the classifying rollers, continuous stepless classification of walnuts is realized through the increase of the distance between the rollers, the working efficiency of the device is 15kg/min, and the classifying efficiency can reach 95%.
The Ercisli et al (2012) extract the shape characteristics of 10 common walnut varieties of turkish by using an image processing technology, list the main parameters of projection areas, equivalent diameters, circumferences, lengths, widths, thicknesses, masses, volumes and the like of different varieties, and provide a basis for the identification of the walnut varieties.
Khalifa et al (2011) extract the amplitude, phase angle value and other time-frequency characteristics of walnut collision sound signals, and the accuracy of identifying full, non-full and empty 3 types of walnuts respectively reaches 97.62%,80% and 93.33% by utilizing Artificial Neural Network (ANN) classification.
Huang Xingyi (2011) and the like detect the internal quality of the walnut by using a soft X-ray technology, collect an internal image of the walnut by using soft X-rays, extract characteristics, judge normal fruits, empty fruits and damaged fruits based on an area threshold method, and show that the total identification rate of the walnut is 88.9%.
Li Shu et al (2012) patent application: walnut quality automatic separation machine based on CT imaging, the main part of the device is: the walnut conveying roller set, the sorting controller, the detection box body and the like are compared with CT images according to images of normal walnut quality, so that the internal quality condition of the walnut is detected, and the walnut is turned over through the grading shifting sheets to be turned over into the corresponding grading box.
In summary, at present, the detection and classification methods for walnut quality are more at home and abroad, but only the quality classification is performed by the size of the walnut, the internal quality of the walnut cannot be detected, and the internal quality of the walnut can be detected by the technologies of X-ray, CT imaging and the like, but the cost is higher.
The walnut has small difference in appearance due to the characteristics of the shell, is difficult to distinguish, but has large difference in weight and is easy to identify. The invention designs and provides the multi-channel detection and sorting device for the shrunken walnuts according to the method of fusing the images and the weight information, which can realize multi-channel on-line detection of the shrunken walnuts, eliminates the shrunken walnuts by an airflow classification method, meets the dual requirements of growers and consumers, and further improves the quality of the walnuts.
Disclosure of Invention
The invention aims to provide a device which can realize multi-channel on-line nondestructive detection of the internal shriveled condition of walnuts and can remove the shriveled walnuts.
The invention aims at realizing the following technical scheme: a multi-channel detection and sorting device for shrunken walnuts comprises a feeding device, a conveying device, an online imaging detection device, an online weighing device, a speed reducing device, an airflow classification device and a frame.
The feeding device consists of a motor, a stock bin, a hole wheel, a material guiding pipe, a hairbrush, a square shaft and a bearing with a seat; when the walnut feeding device is operated, the power supply is switched on, the motor drives the belt wheel to provide power for the feeding device through the belt, after the shelled walnut is poured into the storage bin, the walnut enters the pocket wheel, only one walnut can be filled into one pocket, and the surplus walnut is swept down by the brush; when the hole holes filled with the walnuts are transferred to the outlet of the material guide pipe, the hole holes fall down to the feeding conveyor belt under the action of dead weight, so that multi-channel single-grain feeding is realized.
The conveying device consists of a feeding conveying belt, a grading conveying belt and a channel dividing baffle, and the feeding conveying belt and the grading conveying belt are respectively fixed on the frame through belt seat bearings; the sub-channel baffle is fixed through a baffle support and a baffle fixing plate, the conveying device is divided into a plurality of conveying channels, and the baffle fixing plate is fixed on the frame through bolts and nuts.
The online imaging detection device consists of a camera, a camera bracket, a light source and a light shield; the camera is fixed on the frame through a camera bracket and a bolt and a nut, and the light source is fixed on the frame below the camera through the bolt and the nut; during operation, the on-line imaging detection device is covered by the light shield, the light source shines, the walnut passes through the imaging detection device from the right below, the camera collects walnut image information of each channel in real time, after being processed by the image processing software, the projection area of the walnut is calculated, the same projection area is predicted by the prediction model, the quality of the full walnut is predicted, and the information is stored.
The online weighing device consists of a pressure type weighing sensor, a bearing plate, a long shaft small motor, a rotary shifting plate and an online weighing device supporting plate; the pressure type weighing sensor is connected with the online weighing device supporting plate and the bearing plate through screws and gaskets, the long-shaft small motor is connected with the online weighing device supporting plate through screws, and the rotary shifting plate is arranged at the shaft end of the long-shaft small motor; when the walnut rolls off from the tail end of the feeding conveyor belt to the bearing plate during operation, the pressure type weighing sensor acquires walnut quality information and transmits the information to the computer, the information is compared with the walnut quality predicted by the imaging detection device, the relative error is calculated, and whether the walnut is a shrunken walnut is judged according to the error judging model; the rotary poking plate is driven by a long shaft small motor, and the weighed walnuts are conveyed to the grading conveyor belt under the poking action of the rotary poking plate.
The speed reducing device consists of a speed reducing hairbrush roller, a bearing with a seat and a transmission gear; during operation, as the walnut is dialed by the rotary dialing plate of the online weighing device, the instant speed of the walnut is increased and unstable, and the speed is reduced by adopting the speed reduction hairbrush roller in order not to influence the subsequent classification; the speed reduction hairbrush roller is fixed on the frame through a bearing seat, and a large gear and a small gear of the transmission gear are respectively arranged at the shaft ends of the speed reduction hairbrush roller and the conveying roller of the grading conveying belt; the walnut is decelerated by the brush roller, the speed consistent with the grading conveyor belt is obtained, and the walnut is conveyed to the grading device; through the speed reducer, the classification accuracy of the walnut is greatly improved.
The classifying device consists of an electromagnetic valve, a classifying device supporting plate, a nozzle, a qualified bin and a defective product conveying inclined plate, wherein the electromagnetic valve and the nozzle are fixed on the classifying device supporting plate through screws, and the classifying device supporting plate is fixed on the frame through bolts and nuts; during operation, after the walnut passes through the imaging detection device and the online weighing device, if the walnut is judged to be a shrunken walnut, the control system delays triggering of the electromagnetic valve (the triggering time is the time of the walnut moving on the grading conveyor belt), the high-pressure air pipe sprays high-pressure air flow to drive the nozzle to act, the shrunken walnut is blown down to an unqualified product conveying inclined plate, and if the walnut is judged to be a normal walnut, the walnut is automatically dropped to a qualified bin.
Compared with the prior art, the method has the advantages that the online imaging detection device and the online quality detection device are adopted, the online nondestructive detection of the multi-channel shrunken walnuts can be realized, and the shrunken walnuts are removed through the airflow classification device; the key point is that a speed reducing device is applied, and the speed of the walnut passing through the speed reducing device is correspondingly controlled, so that the classification accuracy of the walnut is greatly improved; the method is suitable for detection and classification of the quality improvement stage of the walnuts, can improve the commodity quality and market price of the walnuts, reduces the labor intensity of manually sorting the walnuts, and improves the production efficiency and economic benefit of the classification of the walnuts.
Drawings
Fig. 1 is a front view of a multi-channel detection and sorting apparatus for collapsed walnuts
Fig. 2 is a top view of a multi-channel detection and sorting apparatus for collapsed walnuts
Fig. 3 is an isometric view of a multi-channel detection and sorting apparatus for shrunken walnuts
FIG. 4 is a schematic diagram of a feeding device
FIG. 5 is a front view of an on-line weighing apparatus
FIG. 6 is an isometric view of an on-line weighing apparatus
In the drawings: 1-solenoid valve, 2-belt seat bearing, 3-classifying conveyor belt 2, 4-conveyor roll, 5-baffle support, 6-camera support, 7-camera, 8-light source, 9-corner piece, 10-feeding conveyor belt, 11-brush, 12-stock bin, 13-pocket wheel, 14-square shaft, 15-feed pipe, 16-pallet, 17-motor, 18-on-line weighing device, 19-support, 20-reject conveying inclined plate, 21-nozzle, 22-closing bin, 23-baffle fixing plate, 24-split channel baffle, 25-transmission gear, 26-reduction brush roller, 27-tooth transmission protective cover, 28-belt wheel, 29-belt, 30-belt transmission protective cover, 31-classifying device pallet, 32-on-line weighing device pallet, 33-bearing plate, 34-rotary shifting plate, 35-pressure type weighing sensor, 36-long shaft small motor
Detailed Description
Referring to fig. 1-6, the device mainly comprises a feeding device, a conveying device, an online imaging detection device, an online weighing device, a speed reducing device, an airflow classifying device and a frame.
The feeding device consists of a stock bin (12), a hole wheel (13), a material guide pipe (15), a hairbrush (11), a square shaft (14) and a bearing with a seat (2); when the walnut feeding device is operated, the power supply is switched on, the motor (17) drives the belt wheel (28) through the belt (29) to provide power for the feeding device, after the shelled walnut is poured into the storage bin (12), the walnut enters the pocket wheel (13), only one walnut is filled into one pocket, and the redundant walnut is swept down by the hairbrush. When the hole holes filled with the walnuts are transferred to the outlet of the material guiding pipe (15), the walnuts roll down to the feeding conveyor belt (10) under the action of dead weight, so that multi-channel single-grain feeding is realized.
The conveying device consists of a feeding conveying belt (10), a grading conveying belt (3) and a channel baffle (24), wherein the feeding conveying belt (10) and the grading conveying belt (3) are respectively fixed on a frame through belt seat bearings (2); the sub-channel baffle (24) is fixed through a baffle support (5) and a baffle fixing plate (5), the conveying device is divided into a plurality of conveying channels, and the baffle fixing plate (5) is fixed on the frame through bolts and nuts.
The online imaging detection device is composed of a camera (7), a camera support (6), a light source (8) and a light shield. The camera (7) is fixed on the frame through a camera bracket (6) and a bolt and a nut, and the light source is fixed on the frame below the camera through the bolt and the nut; during operation, the imaging detection device is covered by the light shield, the light source (8) shines, walnuts pass through the imaging detection device from the right lower side, the camera (7) collects walnut image information of each channel in real time, after being processed by the image processing software, the projection area of the walnuts is calculated, the same projection area is predicted through the prediction model, the quality of full walnuts is improved, and the information is stored.
The online weighing device (18) is composed of a pressure type weighing sensor (35), a bearing plate (35), a long-shaft small motor (36), a rotary shifting plate (34) and an online weighing device supporting plate (32); the pressure type weighing sensor (35) is connected with the online weighing device supporting plate (32) and the bearing plate (35) through screws and gaskets, the long-shaft small motor (36) is connected with the online weighing device supporting plate (32) through screws, and the rotary shifting plate (34) is arranged at the shaft end of the long-shaft small motor (36); when the walnut rolls off from the tail end of the feeding conveyor belt (10) to the bearing plate (35), the pressure type weighing sensor (35) acquires walnut quality information and transmits the information to the computer, the information is compared with the walnut quality predicted after passing through the imaging detection system, the relative error is calculated, and whether the walnut is a shrunken walnut is judged according to the error judging model; the rotary poking plate (34) is driven by a long shaft small motor (36), and the weighed walnuts are conveyed to the grading conveyor belt (3) under the poking action of the rotary poking plate (34).
The speed reducing device consists of a speed reducing brush roller (26), a bearing with a seat (2) and a transmission gear (25); during operation, as the walnut is dialed by the rotary dialing plate (34) of the online weighing device (18), the instant speed of the walnut is increased and unstable, and the speed is reduced by adopting the speed reduction hairbrush roller (26) in order not to influence the subsequent classification; the speed reduction hairbrush roller (26) is fixed on the frame through a bearing seat (2), and a large gear and a small gear of the transmission gear (2) are respectively arranged at the shaft ends of the speed reduction hairbrush roller (26) and the conveying roller of the grading conveying belt (3); the walnut is decelerated by a brush roller, the speed consistent with the speed of the classifying conveyor belt (3) is obtained, and the walnut is conveyed to a classifying device; through the speed reducer, the classification accuracy of the walnut is greatly improved.
The air flow classifying device comprises an electromagnetic valve (1), a classifying device supporting plate (31), a nozzle (21), a qualified bin (22) and a defective product conveying inclined plate (20), wherein the electromagnetic valve (1) and the nozzle (21) are fixed on the classifying device supporting plate (31) through screws, and the classifying device supporting plate (31) is fixed on a rack through bolts and nuts; during operation, after the walnut passes through the imaging detection device and the online weighing device, if the walnut is judged to be a flat walnut, the control system delays to trigger the electromagnetic valve (1) (the triggering time is the time of the walnut moving on the grading conveyor belt), the high-pressure air pipe sprays high-pressure air flow to drive the nozzle (21) to act, the flat walnut is blown to the unqualified product conveying inclined plate (20), and if the walnut is judged to be a normal walnut, the walnut is automatically dropped to the qualified bin (22).
The whole machine operation flow is as follows: when the walnut feeding device is operated, the power supply is switched on, the motor (17) drives the belt wheel (28) through the belt (29) to provide power for the feeding device, after the shelled walnut is poured into the storage bin (12), the walnut enters the pocket wheel (13), only one walnut is filled into one pocket, and the redundant walnut is swept down by the hairbrush. When the hole holes filled with the walnuts are transferred to the outlet of the material guiding pipe (15), the walnuts roll down to the material feeding conveyor belt (10) under the action of dead weight, so that multi-channel single-grain feeding is realized; then the normal mass of the full walnut is calculated by using the projection area of the walnut through an online imaging detection device, then the weight of the full walnut is correspondingly weighed through an online weighing device, and the walnut is judged by using the online imaging detection device and the online weighing device; if the walnut is judged to be a flat walnut, the control system delays to trigger the electromagnetic valve (1) (the triggering time is the time of the walnut moving on the grading conveyor belt), the high-pressure air pipe sprays high-pressure air flow to drive the nozzle (21) to act, the flat walnut is blown down to the unqualified product conveying inclined plate (20), and if the walnut is judged to be a normal walnut, the walnut is automatically dropped to the qualified bin (22).
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications are within the scope of the patent claims.
Claims (3)
1. The utility model provides a flat walnut multichannel detects and sorting unit, includes loading attachment, conveyor, online imaging detection device, online weighing device, decelerator, air current formula grading plant and frame, its characterized in that: the feeding device consists of a stock bin, a hole wheel, a material guide pipe, a hairbrush, a square shaft and a bearing with a seat; when the walnut feeding device is operated, the power supply is switched on, the motor drives the belt wheel to provide power for the feeding device through the belt, after the shelled walnut is poured into the storage bin, the walnut enters the hole wheel, only one walnut is filled into one hole, and the redundant walnut is swept down by the brush; when the hole holes filled with the walnuts are transferred to the outlet of the material guide pipe, the hole holes roll down to the material feeding conveyor belt under the action of dead weight, so that multi-channel single-grain feeding is realized;
the conveying device consists of a feeding conveying belt, a grading conveying belt and a channel dividing baffle, and the feeding conveying belt and the grading conveying belt are respectively fixed on the frame through belt seat bearings; the conveying device is divided into a plurality of conveying channels by the channel dividing baffle;
the on-line imaging detection device consists of a camera, a camera bracket and a light source, and a light shield is arranged above the on-line imaging detection device; the camera is fixed on the frame through a camera bracket and a bolt and a nut, and the light source is fixed on the frame below the camera through the bolt and the nut; when the walnut image processing device works, the on-line imaging detection device is covered by the light shield, the light source shines, the walnut passes through the imaging detection device from the right below, the camera acquires the walnut image information of each channel in real time, the walnut projection area is calculated after the walnut image information is processed by the image processing software, the same projection area is predicted by the prediction model, the quality of the full walnut is predicted, and the information is stored;
the online weighing device consists of a pressure type weighing sensor, a bearing plate, a long shaft small motor, a rotary shifting plate and an online weighing device supporting plate; the pressure type weighing sensor is connected with the online weighing device supporting plate and the bearing plate through screws and gaskets, the long-shaft small motor is connected with the online weighing device supporting plate through screws, and the rotary shifting plate is arranged at the shaft end of the long-shaft small motor; when the walnut rolls off from the tail end of the feeding conveyor belt to the bearing plate during operation, the pressure type weighing sensor acquires walnut quality information and transmits the information to the computer, the information is compared with the walnut quality predicted by the imaging detection system, the relative error is calculated, and whether the walnut is a shrunken walnut is judged according to the error judging model; the rotary shifting plate is driven by a long shaft small motor, and the weighed walnuts are conveyed to the grading conveyor belt under the shifting action of the rotary shifting plate;
the speed reducing device consists of a speed reducing hairbrush roller, a bearing with a seat and a transmission gear; during operation, as the walnut is dialed by the rotary dialing plate of the online weighing device, the instant speed of the walnut is increased and unstable, and the speed is reduced by adopting the speed reduction hairbrush roller in order not to influence the subsequent classification; the speed reduction hairbrush roller is fixed on the frame through a bearing seat, and a large gear and a small gear of the transmission gear are respectively arranged at the shaft ends of the speed reduction hairbrush roller and the conveying roller of the grading conveying belt; the walnut is decelerated by the brush roller, the speed consistent with the grading conveyor belt is obtained, and the walnut is conveyed to the grading device;
the classifying device consists of an electromagnetic valve, a classifying device supporting plate, a nozzle, a qualified bin and a defective product conveying inclined plate, wherein the electromagnetic valve and the nozzle are fixed on the classifying device supporting plate through screws, and the classifying device supporting plate is fixed on the frame through bolts and nuts; during operation, after the walnut passes through the imaging detection device and the online weighing device, if the walnut is judged to be a shrunken walnut, the control system delays triggering the electromagnetic valve, the high-pressure air pipe sprays high-pressure air flow to drive the nozzle to act, the shrunken walnut is blown down to the unqualified product conveying inclined plate, and if the walnut is judged to be a normal walnut, the walnut is automatically thrown down to the qualified bin.
2. The multi-channel detection and sorting device for shrunken walnuts based on claim 1, which is characterized in that: the sub-channel baffle is fixed through a baffle support and a baffle fixing plate, the conveying device is divided into a plurality of conveying channels, and the baffle fixing plate is fixed on the frame through bolts and nuts.
3. The multi-channel detection and sorting device for shrunken walnuts based on claim 1, which is characterized in that: the rotation direction of the speed reduction hairbrush roller in the speed reduction device is opposite to the conveying direction of the belt.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810117142.4A CN108311402B (en) | 2018-02-06 | 2018-02-06 | Multi-channel detecting and sorting device for shrunken walnuts |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810117142.4A CN108311402B (en) | 2018-02-06 | 2018-02-06 | Multi-channel detecting and sorting device for shrunken walnuts |
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| CN108311402A CN108311402A (en) | 2018-07-24 |
| CN108311402B true CN108311402B (en) | 2023-10-24 |
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| CN201810117142.4A Active CN108311402B (en) | 2018-02-06 | 2018-02-06 | Multi-channel detecting and sorting device for shrunken walnuts |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109225908B (en) * | 2018-09-12 | 2021-08-31 | 共有科技（天津）有限公司 | Fruit vegetables sieve separator |
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