CN205032397U - Kiwi fruit detects grading plant - Google Patents
Kiwi fruit detects grading plant Download PDFInfo
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- CN205032397U CN205032397U CN201520768271.1U CN201520768271U CN205032397U CN 205032397 U CN205032397 U CN 205032397U CN 201520768271 U CN201520768271 U CN 201520768271U CN 205032397 U CN205032397 U CN 205032397U
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Abstract
The utility model discloses a kiwi fruit detects grading plant belongs to fruit processing machinery technical field. Include frame, tilting conveying mechanism, controller, unload if indeed mechanism, fruit size detection mechanism and the inside sugar degree detection mechanism of fruit in grades, the controller respectively with fruit size detection mechanism, the inside sugar degree detection mechanism of fruit, unload fruit mechanism in grades, tilting conveying mechanism is connected. The utility model discloses a modularized design theory is with tilting conveying platform, detection device, to unload the fruit device in grades together integrated with control system, has realized that the fruit detects hierarchical mechanization, automation. The utility model discloses the on -line measuring that rational in infrastructure, convenient operation, operational reliability be high, can accomplish fruit collects transports, detects and unloads fruit function in an organic whole with hierarchical, but greatly reduced fruit detection damage ratio.
Description
Technical field
The utility model belongs to agricultural mechanical field, relates to a kind of fruit detection device, is specifically related to a kind of Kiwi berry and detects grading plant.
Background technology
Fruits and vegetables sorting is a kind of labor-intensive work, and in a lot of country, because aging population and agricultural workforce more and more lack, labor cost increases.Fruits and vegetables separation operation is that current fruits and vegetables produce one of link that is the most consuming time in chain, that require great effort most, and the quality of separation operation quality directly has influence on the market sale price of product, affects the plantation income of peasant.In recent years, along with the high speed development of image processing techniques and computer technology, utilize machine vision technique automatically to detect and classification fruit, be widely applied.Abroad from the fruit grading system that the nineties in 20th century just begins one's study based on computer vision technique, practical products existing a large amount of till now, as the OscARTM type high speed fruit grading production line of the U.S., for grade determination and the Quality Detection of the fruit such as apple, orange, and domestic research is in this respect started late.Current Kiwi berry still mainly relies on manual sorting, and labour intensity is large, works consuming time and cost is also more and more higher.
The fruit sorter meanwhile China market existed is confined to the detection to apparent size, weight mostly.And along with growth in the living standard, consumer no longer only pays close attention to the outward appearance of fruit when buying fruit, more its mouthfeel of emphasis, as the Yantai Fuji apple of China; the crisp pears etc. in peace YangShan county, emblem, are all the brands having got oneself by mouthfeel, and open international market whereby.Therefore, along with the high speed development of spectrum detection technique, the pol utilizing near-infrared spectrum technique to detect fruit has become a kind of trend.
At present, due to the Regional Characteristics of Kiwi berry, realize China's Kiwi berry adopt rear outward appearance and inside quality detect simultaneously with the equipment of classification so far at home or blank, the most still manual grading skill of its hierarchical approaches, and its grade scale disunity, at home and abroad market is difficult to obtain larger competitive advantage.The utility model, for the feature of the thin fruit of the skins such as Kiwi berry, have developed inclined conveyer fruit grader, only needs a conveyer belt just can complete fruit transport and mask work.Transport establishment is designed to tilting, determines rational angle of inclination by Kiwi berry physical characteristic, can ensure fruit smooth transport, supplementary classification executing agency can realize fruit separation again.Effectively prevent the phase mutual friction between fruit surface with mechanical device or collision, greatly reduce the damage ratio of the fruit such as Kiwi berry in the middle of testing process.
Summary of the invention
In order to overcome the deficiency of existing stage division and grading plant, the utility model provides the Non-Destructive Testing of a kind of miniature movable type Kiwi berry and grading plant, this application of installation machine vision technique, gather and process Kiwi berry image in real time, complete the judgement to Kiwi berry order of magnitude, complete the acquisition to Kiwi berry spectral absorption based on near-infrared spectrum technique simultaneously, achieve the detection to its inside pol, finally control to be separated execution part according to grade result of determination and make corresponding action, finally realize the classification of kiwifruit fruit.It solve the problem that artificial separation labour intensity is large, efficiency is low, cost is high, achieve the mechanization of Kiwi berry separation operation, automation and intellectuality.
The technical scheme in the invention for solving the technical problem is: a kind of Kiwi berry detects grading plant, and comprise frame, the top of described frame is provided with incline conveyer structure, is provided with controller below; Be provided with detection case on the right side of described incline conveyer structure top, side is provided with classification Xie Guo mechanism; Be provided with fruit size testing agency and the inner pol testing agency of fruit in described detection case, described controller is connected with fruit size testing agency, the inner pol testing agency of fruit, classification Xie Guo mechanism, incline conveyer structure respectively.
Described incline conveyer structure is made up of motor, tilting conveyer belt, blend stop, baffle plate and angle adjustment linkage; Described tilting conveyer belt is run by motor, and the angle of inclination of tilting conveyer belt is regulated by angle-adjusting mechanism, and tilting conveyer belt bonds conveyer belt blend stop, and baffle plate is equipped with in side.
Described fruit size testing agency is made up of the first photoelectric sensor, ultrasonic distance-measuring sensor and camera, described camera is arranged on camera fixing support, and described light video camera head fixed support, the first photoelectric sensor and ultrasonic distance-measuring sensor are arranged on fixed support.
The inner pol testing agency of described fruit is made up of line slideway slide unit, stepper motor, spectrometer, halogen tungsten lamp light source, described second photoelectric sensor, fibre-optical probe, optical fiber; Described line slideway slide unit is vertically mounted on fixed support, described stepper motor links together with slide unit on slide unit top, described fibre-optical probe to be fixed on slide block with the movement of slide block to adjust the distance of its end face to fruit, described spectrometer is placed in detection case top by Fiber connection with halogen tungsten lamp light source, and described second photoelectric sensor is arranged on slide block.
Described classification Xie Guo mechanism is made up of skimming baffle, rotary magnet, the 3rd photoelectric sensor, fruit collecting groove, described rotary magnet is according to the grade result of determination in detection case, and the 3rd photoelectric sensor to the location sensitive of fruit, control corresponding skimming baffle respectively and open.
Described angle adjustment linkage is made up of fixed head, angle adjustment lever, fixed head, and described angle adjustment lever upper end is connected with fixed head, and lower end is fixed by nut through fixed head; Described fixed head is connected with the baffle plate being arranged on tilting conveyer belt side; Described fixed head is connected with frame.
Described camera utilizes Microsoft Microsoft camera to carry out IMAQ.
Compared with prior art, the utility model has following beneficial effect:
This device adopts single-chip microcomputer to carry out entirety and controls, and utilize Microsoft Microsoft camera to carry out IMAQ, computer image processing technology differentiates Kiwi berry size; Also utilize Ai Wantisi spectrometer collection spectral information, computer is by the pol height of mathematical model prediction Kiwi berry simultaneously.Two courses of work are successively carried out, sensor accurately detects feedback to the course of work, Kiwi berry transporting velocity is realized by motor frequency modulation, whole process by the acquisition of the movement of conveyer belt type delivery platform, the IMAQ of kiwifruit fruit and the curve of spectrum and rotary magnet be separated the cooperation etc. keeping off version and integrate, achieve mechanization, automation that kiwifruit fruit detects classification.This Kiwi berry detection grading plant achieves the standardization sorting to Kiwi berry, for follow-up packaging, sale provide precondition, lays the foundation for exploring world market.
Accompanying drawing explanation
Fig. 1 is the overall structure schematic diagram that a kind of Kiwi berry of the utility model detects grading plant;
Fig. 2 is testing agency's structure for amplifying schematic diagram that a kind of Kiwi berry of the utility model detects grading plant;
Fig. 3 is the classification Xie Guo mechanism structure for amplifying schematic diagram that a kind of Kiwi berry of the utility model detects grading plant;
Fig. 4 is the angle-adjusting mechanism enlarged diagram that a kind of Kiwi berry of the utility model detects grading plant;
Fig. 5 is the workflow diagram that a kind of Kiwi berry of the utility model detects grading plant.
Detailed description of the invention
Fig. 1 gives the overall structure schematic diagram of a kind of Kiwi berry detection of the utility model grading plant from the angle of front view, and the top of described frame 1 is provided with incline conveyer structure 31, is provided with controller 8 below; Be provided with detection case 33 on the right side of described incline conveyer structure 31 top, side is provided with classification Xie Guo mechanism 4; Be provided with fruit size testing agency 2 and the inner pol testing agency 3 of fruit in described detection case 33, described controller 8 is connected with fruit size testing agency 2, the inner pol testing agency 3 of fruit, classification Xie Guo mechanism 4, incline conveyer structure 31 respectively.
See Fig. 1 and Fig. 2, described incline conveyer structure 31 is made up of motor 7, tilting conveyer belt 6, blend stop 5, baffle plate 9 and angle adjustment linkage 32; Described tilting conveyer belt 6 is run by motor 7, and the angle of inclination of tilting conveyer belt 6 is regulated by angle-adjusting mechanism 32, and tilting conveyer belt 6 bonds conveyer belt blend stop 5, and baffle plate 9 is equipped with in side.
See Fig. 2, described fruit size testing agency 2 is made up of photoelectric sensor 14, ultrasonic distance-measuring sensor 16 and camera 26, described camera 26 is arranged on camera fixing support 17, and described light video camera head fixed support 17, electric transducer 14 and ultrasonic distance-measuring sensor 16 are arranged on fixed support 15.When photoelectric sensor 14 detects the positional information of Kiwi berry, just control camera 26 collecting fruit image information by control system, by the program that matlab writes, image is processed in real time simultaneously, draw Kiwi berry order of magnitude information.Described camera utilizes Microsoft Microsoft camera to carry out IMAQ.
See Fig. 2, the inner pol testing agency of described fruit is made up of line slideway slide unit 22, stepper motor 21, spectrometer 18, halogen tungsten lamp light source 19, fibre-optical probe 25, optical fiber 20; Described line slideway slide unit 22 is vertically mounted on fixed support 15, described stepper motor 21 links together with slide unit on slide unit top, described fibre-optical probe 25 to be fixed on slide block 23 with the movement of slide block to adjust the distance of its end face to fruit, and described spectrometer 18 is placed in detection case 33 top with halogen tungsten lamp light source 19 and is connected by optical fiber 20.When the first photoelectric sensor 14 detects the positional information of Kiwi berry, just control ultrasonic distance-measuring sensor by control system to start to adjust the distance of its section to Kiwi berry, because the distance between distance measuring sensor end face and fibre-optical probe end face remains unchanged, therefore just indirectly have adjusted the distance of fibre-optical probe to kiwifruit fruit, make it reach the optimum distance required for experiment of our setting.Kiwi berry continues to run subsequently, and second when photoelectric sensor 24 detects the positional information of Kiwi berry, and start spectrometer collection data, computer, according to the model treatment data built up, draws pol class information.
See Fig. 3, described classification Xie Guo mechanism 4 is made up of skimming baffle 28, rotary magnet 30, the 3rd photoelectric sensor 29, fruit collecting groove 7, described rotary magnet 30 is according to the grade result of determination in detection case 33, and the location sensitive of the 3rd photoelectric sensor 29 pairs of fruits, control corresponding skimming baffle 28 respectively and open.Three rotary magnets are according to the grade result of determination in detection case, and photoelectric sensor is to the location sensitive of fruit, control corresponding skimming baffle respectively and open, thus realize the separation of fruit.
See Fig. 4, described angle adjustment linkage 32 is made up of fixed head 10, angle adjustment lever 11, fixed head 12, and described angle adjustment lever 11 upper end is connected with fixed head 12, and lower end is fixed by nut through fixed head 10; The baffle plate 9 that described fixed head 12 is arranged on tilting conveyer belt 6 side connects; Described fixed head 10 is connected with frame 1.Fixed head 10 has groove, be convenient to angle adjustment lever pass, and adjust the angle of inclination of connecting gear by the position of nut on bar, angle adjustment lever top and screw junction can be rotated, by the cooperation of blend stop and baffle plate, ensure that fruit stably enters each workflow.
Fig. 5 is the workflow diagram that a kind of Kiwi berry of the utility model detects grading plant, and specific works process is as follows:
Kiwi berry runs on a moving belt, when photoelectric sensor 14 detects the positional information of Kiwi berry, just control camera 26 collecting fruit image by control system, and by the program that matlab writes, image is processed in real time, draw Kiwi berry order of magnitude information, control ultrasonic distance-measuring sensor to start to adjust the distance of its section to Kiwi berry simultaneously, because the distance between distance measuring sensor end face and fibre-optical probe end face remains unchanged, therefore just indirectly have adjusted the distance of fibre-optical probe to kiwifruit fruit, it is made to reach the optimum distance required for experiment of our setting, Kiwi berry continues to run subsequently, when photoelectric sensor 24 detects the positional information of Kiwi berry, start spectrometer collection data, computer processes data according to the model of the spectral absorption built up and the true pol of Kiwi berry, draw pol class information, three rotary magnets afterwards below three fruit collecting grooves are according to the grade result of determination in detection case, and photoelectric sensor is to the location sensitive of fruit, control corresponding skimming baffle respectively to open, thus realize the separation of fruit.
This device adopts single-chip microcomputer to carry out entirety and controls, and utilize Microsoft Microsoft camera to carry out IMAQ, computer image processing technology differentiates Kiwi berry size, and spectroscopic data treatment technology differentiates kiwi fruit sugar grade.By serial ports, computer is communicated with single-chip microcomputer, thus image and the information of spectral manipulation and the control of separating mechanism are combined.Sensor accurately detects feedback to the course of work, and transporting velocity is realized by motor frequency modulation.This system authority is simple, control is convenient, possesses conveying fruit; Accurately nondestructively can detect the inside and outside component matter of Kiwi berry; Realize the function that fruit is separated, it solve the problem that artificial separation labour intensity is large, efficiency is low, cost is high, achieve the mechanization of Kiwi berry separation operation, automation and intellectuality, support for kiwifruit fruit picking robot provides key technology.
Claims (7)
1. Kiwi berry detects a grading plant, comprises frame (1), it is characterized in that: the top of described frame (1) is provided with incline conveyer structure (31), is provided with controller (8) below; Be provided with detection case (33) on the right side of described incline conveyer structure (31) top, side is provided with classification Xie Guo mechanism (4); Be provided with fruit size testing agency (2) and the inner pol testing agency (3) of fruit in described detection case (33), described controller (8) is connected with fruit size testing agency (2), the inner pol testing agency (3) of fruit, classification Xie Guo mechanism (4), incline conveyer structure (31) respectively.
2. Kiwi berry detects grading plant according to claim 1, it is characterized in that: described incline conveyer structure (31) is made up of motor (7), tilting conveyer belt (6), blend stop (5), baffle plate (9) and angle adjustment linkage (32); Described tilting conveyer belt (6) is run by motor (7), and the angle of inclination of tilting conveyer belt (6) is regulated by angle-adjusting mechanism (32), and tilting conveyer belt (6) upper bonding conveyer belt blend stop (5), baffle plate (9) is equipped with in side.
3. Kiwi berry detects grading plant according to claim 1, it is characterized in that: described fruit size testing agency (2) is made up of the first photoelectric sensor (14), ultrasonic distance-measuring sensor (16) and camera (26), described camera (26) is arranged on camera fixing support (17), and described light video camera head fixed support (17), the first photoelectric sensor (14) and ultrasonic distance-measuring sensor (16) are arranged on fixed support (15).
4. Kiwi berry detects grading plant according to claim 1, it is characterized in that: the inner pol testing agency of described fruit is made up of line slideway slide unit (22), stepper motor (21), spectrometer (18), halogen tungsten lamp light source (19), the second photoelectric sensor (24), fibre-optical probe (25), optical fiber (20); Described line slideway slide unit (22) is vertically mounted on fixed support (15), described stepper motor (21) links together with slide unit on slide unit top, described fibre-optical probe (25) to be fixed on slide block (23) with the movement of slide block to adjust the distance of its end face to fruit, described spectrometer (18) is placed in detection case (33) top with halogen tungsten lamp light source (19) and is connected by optical fiber (20), and described second photoelectric sensor (24) is arranged on slide block (23).
5. Kiwi berry detects grading plant according to claim 1, it is characterized in that: described classification Xie Guo mechanism (4) is made up of skimming baffle (28), rotary magnet (30), the 3rd photoelectric sensor (29), fruit collecting groove (27), described rotary magnet (30) is according to the grade result of determination in detection case (33), and the 3rd photoelectric sensor (29) to the location sensitive of fruit, control corresponding skimming baffle (28) respectively and open.
6. Kiwi berry detects grading plant according to claim 2, it is characterized in that: described angle adjustment linkage (32) is made up of fixed head (10), angle adjustment lever (11), fixed head (12), described angle adjustment lever (11) upper end is connected with fixed head (12), and lower end is fixed by nut through fixed head (10); Described fixed head (12) is connected with the baffle plate (9) being arranged on tilting conveyer belt (6) side; Described fixed head (10) is connected with frame (1).
7. Kiwi berry detects grading plant according to claim 3, it is characterized in that: described camera utilizes Microsoft Microsoft camera to carry out IMAQ.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520768271.1U CN205032397U (en) | 2015-10-07 | 2015-10-07 | Kiwi fruit detects grading plant |
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| CN201520768271.1U CN205032397U (en) | 2015-10-07 | 2015-10-07 | Kiwi fruit detects grading plant |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105170485A (en) * | 2015-10-07 | 2015-12-23 | 西北农林科技大学 | Kiwi fruit detecting and grading device |
| CN106927082A (en) * | 2017-05-13 | 2017-07-07 | 何宏昌 | One kind classification sorting conveyer belt |
| CN110201900A (en) * | 2019-05-31 | 2019-09-06 | 安徽理工大学 | A kind of apple screening plant based on machine vision |
-
2015
- 2015-10-07 CN CN201520768271.1U patent/CN205032397U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105170485A (en) * | 2015-10-07 | 2015-12-23 | 西北农林科技大学 | Kiwi fruit detecting and grading device |
| CN106927082A (en) * | 2017-05-13 | 2017-07-07 | 何宏昌 | One kind classification sorting conveyer belt |
| CN110201900A (en) * | 2019-05-31 | 2019-09-06 | 安徽理工大学 | A kind of apple screening plant based on machine vision |
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Granted publication date: 20160217 |