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CN205032397U - Kiwi fruit detects grading plant - Google Patents

Kiwi fruit detects grading plant Download PDF

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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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fruit
detection
grading plant
photoelectric sensor
camera
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崔永杰
屈婷
齐康康
郭昊明
隽杰
王滨
高建敏
徐立青
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Northwest A&F University
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Abstract

本实用新型公开了一种猕猴桃检测分级装置,属于水果加工机械技术领域。包括机架、倾斜式输送机构、控制器、分级卸果机构、果实大小检测机构和果实内部糖度检测机构,所述控制器分别与果实大小检测机构、果实内部糖度检测机构、分级卸果机构、倾斜式输送机构连接。本实用新型采用模块化设计理念,将倾斜式输送平台、检测装置、分级卸果装置与控制系统集成在一起,实现了果实检测分级的机械化、自动化。本实用新型结构合理、操作方便、工作可靠性高、能够完成水果的在线检测与分级,集输送、检测及卸果功能于一体,可大大降低水果检测损伤率。

The utility model discloses a kiwi fruit detection and grading device, which belongs to the technical field of fruit processing machinery. It includes a frame, an inclined conveying mechanism, a controller, a grading fruit unloading mechanism, a fruit size detection mechanism and a fruit internal sugar content detection mechanism. Inclined conveyor connection. The utility model adopts a modular design concept, integrates an inclined conveying platform, a detection device, a grading and unloading device and a control system, and realizes the mechanization and automation of fruit detection and grading. The utility model has reasonable structure, convenient operation, high working reliability, can complete the online detection and classification of fruits, integrates the functions of conveying, detection and fruit unloading, and can greatly reduce the damage rate of fruit detection.

Description

一种猕猴桃检测分级装置A kiwifruit detection and grading device

技术领域 technical field

本实用新型属于农业机械领域,涉及一种水果检测装置,具体涉及一种猕猴桃检测分级装置。 The utility model belongs to the field of agricultural machinery and relates to a fruit detection device, in particular to a kiwi fruit detection and grading device.

背景技术 Background technique

果蔬分选是一种劳动密集型的工作,在很多国家,由于人口老龄化和农业劳动力越来越缺乏,劳动力成本增加。果蔬分选作业是目前果蔬生产链中最耗时、最费力的环节之一,分选作业质量的好坏直接影响到产品的市场销售价格,影响农民的种植收益。近年来,随着图像处理技术和计算机技术的高速发展,利用机器视觉技术对水果进行自动检测和分级,已经得到了广泛应用。国外从20世纪90年代就开始研究基于计算机视觉技术的水果分级系统,到现在已有大量的实用产品,如美国的OscARTM型高速水果分级生产线,用于苹果、橘子等水果的分等定级和品质检测,而国内在这方面的研究起步较晚。目前猕猴桃仍主要依靠人工分拣,劳动强度大,工作耗时而且成本也越来越高。 Fruit and vegetable sorting is a labor-intensive job, and labor costs are increasing in many countries due to aging populations and a growing shortage of agricultural labor. Fruit and vegetable sorting is currently one of the most time-consuming and laborious links in the fruit and vegetable production chain. The quality of the sorting operation directly affects the market sales price of the product and affects the farmers' planting income. In recent years, with the rapid development of image processing technology and computer technology, automatic detection and grading of fruits using machine vision technology has been widely used. Foreign countries began to study fruit grading systems based on computer vision technology in the 1990s, and now there are a large number of practical products, such as the OscARTM high-speed fruit grading production line in the United States, which is used for grading and grading of apples, oranges and other fruits. Quality testing, while domestic research in this area started relatively late. At present, kiwi fruit still mainly rely on manual sorting, which is labor-intensive, time-consuming and costly.

与此同时我国市场上存在的水果分选机大多局限于对外观大小、重量的检测。而随着生活水平的提高,消费者在购买水果时不再仅仅关注水果的外观,更多的注重其口感,如我国的烟台红富士,安徽旸山县的酥梨等,都是靠口感打出了自己的品牌,并借此打开了国际市场。因此,伴随着光谱检测技术的高速发展,利用近红外光谱技术检测果品的糖度已成为一种趋势。 At the same time, most of the fruit sorting machines in the market in our country are limited to the detection of appearance size and weight. With the improvement of living standards, consumers no longer only pay attention to the appearance of fruits when buying fruits, but pay more attention to their taste. For example, Yantai Red Fuji in my country and crisp pears in Yangshan County, Anhui, etc. are all sold by taste. It has established its own brand and opened up the international market. Therefore, with the rapid development of spectral detection technology, it has become a trend to use near-infrared spectroscopy to detect the sugar content of fruits.

目前,由于猕猴桃的区域性特征,实现我国猕猴桃采后外观与内部品质同时检测与分级的设备至今在国内还是空白,其分级方式大多还是人工分级,且其分级标准不统一,在国内外市场难以取得较大的竞争优势。本实用新型针对猕猴桃等皮薄水果的特点,研制了倾斜输送带式水果分级机,仅需要一条输送带就可以完成果实运输和分离工作。运输机构设计成倾斜式,通过猕猴桃物理特性研究确定合理的倾斜角度,既能保证果实平稳运输,又能辅助分级执行机构实现果实分离。有效避免了水果表面与机械装置之间的相互摩擦或碰撞,大大降低了猕猴桃等水果在检测过程当中的损伤率。 At present, due to the regional characteristics of kiwifruit, the equipment for simultaneous detection and grading of the appearance and internal quality of kiwifruit after harvest in China is still blank in China. gain a greater competitive advantage. Aiming at the characteristics of thin-skinned fruits such as kiwi, the utility model develops an inclined conveyor belt type fruit classifier, which can complete the fruit transportation and separation work with only one conveyor belt. The transportation mechanism is designed to be inclined, and the reasonable inclination angle is determined through the study of the physical characteristics of kiwifruit, which can not only ensure the smooth transportation of the fruit, but also assist the grading actuator to achieve fruit separation. It effectively avoids the mutual friction or collision between the fruit surface and the mechanical device, and greatly reduces the damage rate of kiwi and other fruits during the detection process.

发明内容 Contents of the invention

为了克服现有分级方法和分级装置的不足,本实用新型提供了一种小型移动式猕猴桃无损检测及分级装置,该装置应用机器视觉技术,采集并实时处理猕猴桃图像,完成对猕猴桃大小等级的判定,同时基于近红外光谱技术完成了对猕猴桃光谱吸收率的获取,实现了对其内部糖度的检测,最后根据等级判定结果控制分离执行部分作出相应的动作,最终实现猕猴桃果实的分级。它解决了人工分选劳动强度大、效率低、成本高的问题,实现了猕猴桃分选作业的机械化、自动化和智能化。 In order to overcome the deficiencies of the existing grading methods and grading devices, the utility model provides a small mobile non-destructive detection and grading device for kiwifruit. The device uses machine vision technology to collect and process kiwifruit images in real time to complete the judgment of kiwifruit size and grade At the same time, based on the near-infrared spectrum technology, the acquisition of the spectral absorption rate of kiwi fruit was completed, and the detection of its internal sugar content was realized. Finally, according to the grade judgment result, the separation execution part was controlled to take corresponding actions, and finally the grading of kiwi fruit was realized. It solves the problems of high labor intensity, low efficiency and high cost of manual sorting, and realizes the mechanization, automation and intelligence of kiwifruit sorting operations.

本实用新型解决其技术问题所采取的技术方案是:一种猕猴桃检测分级装置,包括机架,所述机架的上边安装有倾斜式输送机构,下边安装有控制器;所述倾斜式输送机构上边右侧安装有检测箱,侧面安装有分级卸果机构;所述检测箱内设有果实大小检测机构和果实内部糖度检测机构,所述控制器分别与果实大小检测机构、果实内部糖度检测机构、分级卸果机构、倾斜式输送机构连接。 The technical scheme adopted by the utility model to solve the technical problems is: a kiwi fruit detection and grading device, including a frame, an inclined conveying mechanism is installed on the upper side of the frame, and a controller is installed on the lower side of the frame; the inclined conveying mechanism A detection box is installed on the right side of the upper side, and a grading and unloading mechanism is installed on the side; the detection box is equipped with a fruit size detection mechanism and a fruit internal sugar detection mechanism, and the controller is respectively connected with the fruit size detection mechanism and the fruit internal sugar detection mechanism. , Grading unloading mechanism, inclined conveyor mechanism connection.

所述倾斜式输送机构由电动机、倾斜式输送带、挡条、挡板和角度调整杆机构组成;所述倾斜式输送带通过电机运行,倾斜式输送带的倾斜角度由角度调整机构进行调节,倾斜式输送带上粘结输送带挡条,侧面装有挡板。 The inclined conveying mechanism is composed of a motor, an inclined conveying belt, a retaining bar, a baffle plate and an angle adjustment rod mechanism; the inclined conveying belt is operated by a motor, and the inclination angle of the inclined conveying belt is adjusted by an angle adjusting mechanism, Conveyor belt bars are bonded to the inclined conveyor belt, and baffles are installed on the side.

所述果实大小检测机构由第一光电传感器、超声波测距传感器和摄像头组成,所述摄像头安装在摄像头固定支架上,所述光摄像头固定支架、第一光电传感器和超声波测距传感器安装在固定支架上。 Described fruit size detecting mechanism is made up of the first photoelectric sensor, ultrasonic ranging sensor and camera, and described camera is installed on the fixed support of camera, and described optical camera fixed support, first photoelectric sensor and ultrasonic ranging sensor are installed on fixed support superior.

所述果实内部糖度检测机构由直线导轨滑台、步进电机、光谱仪、卤钨灯光源、所述第二光电传感器、光纤探头、光纤组成;所述直线导轨滑台垂直安装在固定支架上,所述步进电机在滑台顶端跟滑台连接在一起,所述光纤探头固定在滑块上随滑块的移动来调整其端面到果实的距离,所述光谱仪跟卤钨灯光源置于检测箱顶部通过光纤连接,所述第二光电传感器安装在滑块上。 The internal sugar content detection mechanism of the fruit is composed of a linear guide rail slide, a stepping motor, a spectrometer, a tungsten halogen light source, the second photoelectric sensor, an optical fiber probe, and an optical fiber; the linear guide slide is vertically installed on a fixed bracket, The stepper motor is connected with the slide table at the top of the slide table, the optical fiber probe is fixed on the slide block to adjust the distance from its end face to the fruit with the movement of the slide block, the spectrometer and the tungsten halogen light source are placed for detection The top of the box is connected by optical fiber, and the second photoelectric sensor is installed on the slider.

所述分级卸果机构由分离挡板、旋转电磁铁、第三光电传感器、集果槽组成,所述旋转电磁铁根据检测箱内的等级判定结果,以及第三光电传感器对果实的位置感应,分别控制相应的分离挡板打开。 The grading and unloading mechanism is composed of a separation baffle, a rotating electromagnet, a third photoelectric sensor, and a fruit collecting trough. The rotating electromagnet is based on the result of the grade judgment in the detection box and the position of the fruit by the third photoelectric sensor. Respectively control the corresponding separation baffle to open.

所述角度调整杆机构由固定板、角度调整杆、固定板组成,所述角度调整杆上端与固定板连接,下端穿过固定板通过螺母固定;所述固定板与安装在倾斜式输送带侧面的挡板连接;所述固定板与机架连接。 The angle adjustment rod mechanism is composed of a fixed plate, an angle adjustment rod, and a fixed plate. The upper end of the angle adjustment rod is connected to the fixed plate, and the lower end passes through the fixed plate and is fixed by a nut; the fixed plate is installed on the side of the inclined conveyor belt. The baffle is connected; the fixed plate is connected with the frame.

所述摄像头利用Microsoft微软相机进行图像采集。 Described camera utilizes Microsoft Microsoft camera to carry out image collection.

与现有技术相比,本实用新型具有以下有益效果: Compared with the prior art, the utility model has the following beneficial effects:

本装置采用单片机进行整体控制,利用Microsoft微软相机进行图像采集,计算机图像处理技术判别猕猴桃大小;同时还利用爱万提斯光谱仪采集光谱信息,计算机通过数学模型预测猕猴桃的糖度高低。两个工作过程先后进行,传感器对工作过程进行精确检测反馈,猕猴桃输送速度通过电机调频实现,整个过程将输送带式传送平台的移动、猕猴桃果实的图像采集与光谱曲线的获取、以及旋转磁铁与分离挡版的配合等进行整合,实现了猕猴桃果实检测分级的机械化、自动化。该猕猴桃检测分级装置实现了对猕猴桃的标准化分选,为后续的包装、销售提供前提条件,为开拓国际市场打下了基础。 The device adopts a single-chip microcomputer for overall control, uses a Microsoft camera for image collection, and computer image processing technology to determine the size of kiwifruit; at the same time, it also uses Avantis spectrometer to collect spectral information, and the computer predicts the sugar content of kiwifruit through mathematical models. The two working processes are carried out successively. The sensor performs accurate detection and feedback on the working process. The kiwi fruit conveying speed is realized by frequency modulation of the motor. The integration of the cooperation of the separation plate has realized the mechanization and automation of kiwifruit fruit detection and grading. The kiwifruit detection and grading device realizes the standardized sorting of kiwifruit, provides preconditions for subsequent packaging and sales, and lays the foundation for developing the international market.

附图说明 Description of drawings

图1为本实用新型一种猕猴桃检测分级装置的整体结构示意图; Fig. 1 is the overall structure schematic diagram of a kind of kiwifruit detection and grading device of the present utility model;

图2为本实用新型一种猕猴桃检测分级装置的检测机构放大结构示意图; Fig. 2 is a schematic diagram of the enlarged structure of the detection mechanism of a kind of kiwi fruit detection and grading device of the present invention;

图3为本实用新型一种猕猴桃检测分级装置的分级卸果机构放大结构示意图; Fig. 3 is the magnified structure diagram of the grading and unloading mechanism of a kind of kiwi fruit detection and grading device of the present invention;

图4为本实用新型一种猕猴桃检测分级装置的角度调整机构放大示意图; Fig. 4 is the enlarged schematic diagram of the angle adjustment mechanism of a kind of kiwi fruit detection and classification device of the present invention;

图5为本实用新型一种猕猴桃检测分级装置的工作流程图。 Fig. 5 is a working flow diagram of a kiwi fruit detection and grading device of the present invention.

具体实施方式 detailed description

图1从主视图的角度给出了本实用新型一种猕猴桃检测分级装置的整体结构示意图,所述机架1的上边安装有倾斜式输送机构31,下边安装有控制器8;所述倾斜式输送机构31上边右侧安装有检测箱33,侧面安装有分级卸果机构4;所述检测箱33内设有果实大小检测机构2和果实内部糖度检测机构3,所述控制器8分别与果实大小检测机构2、果实内部糖度检测机构3、分级卸果机构4、倾斜式输送机构31连接。 Fig. 1 has provided the overall structure schematic diagram of a kind of kiwifruit detection and grading device of the present utility model from the angle of front view, and the top of described frame 1 is equipped with inclined conveying mechanism 31, and controller 8 is installed below; A detection box 33 is installed on the upper right side of the conveying mechanism 31, and a grading and unloading mechanism 4 is installed on the side; a fruit size detection mechanism 2 and a fruit internal sugar detection mechanism 3 are arranged in the detection box 33, and the controller 8 is connected with the fruit respectively. The size detection mechanism 2, the sugar content detection mechanism 3 inside the fruit, the grading and unloading mechanism 4, and the inclined conveying mechanism 31 are connected.

参见图1和图2,所述倾斜式输送机构31由电动机7、倾斜式输送带6、挡条5、挡板9和角度调整杆机构32组成;所述倾斜式输送带6通过电机7运行,倾斜式输送带6的倾斜角度由角度调整机构32进行调节,倾斜式输送带6上粘结输送带挡条5,侧面装有挡板9。 1 and 2, the inclined conveyor mechanism 31 is composed of a motor 7, an inclined conveyor belt 6, a bar 5, a baffle plate 9 and an angle adjustment rod mechanism 32; the inclined conveyor belt 6 is run by the motor 7 , the inclination angle of the inclined conveyor belt 6 is regulated by the angle adjustment mechanism 32, and the inclined conveyor belt 6 is bonded with a conveyor belt stop bar 5, and a baffle plate 9 is installed on the side.

参见图2,所述果实大小检测机构2由光电传感器14、超声波测距传感器16和摄像头26组成,所述摄像头26安装在摄像头固定支架17上,所述光摄像头固定支架17、电传感器14和超声波测距传感器16安装在固定支架15上。当光电传感器14检测到猕猴桃的位置信息时,便通过控制系统控制摄像头26采集果实图像信息,同时借助matlab编写的程序对图像进行实时处理,得出猕猴桃大小等级信息。所述摄像头利用Microsoft微软相机进行图像采集。 Referring to Fig. 2, described fruit size detection mechanism 2 is made up of photoelectric sensor 14, ultrasonic ranging sensor 16 and camera 26, and described camera 26 is installed on the camera fixed support 17, described optical camera fixed support 17, electric sensor 14 and The ultrasonic ranging sensor 16 is installed on the fixed bracket 15 . When the photoelectric sensor 14 detects the position information of the kiwi fruit, the control system controls the camera 26 to collect fruit image information, and at the same time processes the image in real time with the help of a program written by matlab to obtain the size and grade information of the kiwi fruit. Described camera utilizes Microsoft Microsoft camera to carry out image collection.

参见图2,所述果实内部糖度检测机构由直线导轨滑台22、步进电机21、光谱仪18、卤钨灯光源19、光纤探头25、光纤20组成;所述直线导轨滑台22垂直安装在固定支架15上,所述步进电机21在滑台顶端跟滑台连接在一起,所述光纤探头25固定在滑块23上随滑块的移动来调整其端面到果实的距离,所述光谱仪18跟卤钨灯光源19置于检测箱33顶部通过光纤20连接。当第一光电传感器14检测到猕猴桃的位置信息时,便通过控制系统控制超声波测距传感器开始调整其断面到猕猴桃的距离,由于测距传感器端面与光纤探头端面之间的距离保持不变,因此便间接的调整了光纤探头到猕猴桃果实的距离,使其达到我们设定的实验所需要的最佳距离。随后猕猴桃继续运行,第二当光电传感器24检测到猕猴桃的位置信息时,启动光谱仪采集数据,计算机根据建好的模型处理数据,得出糖度等级信息。 Referring to Fig. 2, described fruit internal sugar detection mechanism is made up of linear guide rail slide table 22, stepper motor 21, spectrometer 18, tungsten halogen light source 19, optical fiber probe 25, optical fiber 20; Described linear guide rail slide table 22 is vertically installed on On the fixed bracket 15, the stepper motor 21 is connected with the slide table at the top of the slide table, and the optical fiber probe 25 is fixed on the slide block 23 to adjust the distance from its end face to the fruit as the slide block moves. 18 and the halogen tungsten light source 19 are placed on the top of the detection box 33 and connected through the optical fiber 20. When the first photoelectric sensor 14 detected the position information of the kiwi, the control system controlled the ultrasonic ranging sensor to start adjusting the distance from its section to the kiwi. The distance between the optical fiber probe and the kiwi fruit is indirectly adjusted to make it reach the optimal distance required by the experiment we set. Then the kiwi continued to run, and when the second photoelectric sensor 24 detected the position information of the kiwi, the spectrometer was started to collect data, and the computer processed the data according to the built model to obtain the sugar level information.

参见图3,所述分级卸果机构4由分离挡板28、旋转电磁铁30、第三光电传感器29、集果槽7组成,所述旋转电磁铁30根据检测箱33内的等级判定结果,以及第三光电传感器29对果实的位置感应,分别控制相应的分离挡板28打开。三个旋转磁铁根据检测箱内的等级判定结果,以及光电传感器对果实的位置感应,分别控制相应的分离挡板打开,从而实现果实的分离。 Referring to Fig. 3, described classification unloading mechanism 4 is made up of separating baffle plate 28, rotating electromagnet 30, the 3rd photoelectric sensor 29, collecting fruit groove 7, and described rotating electromagnet 30 judges the result according to the grade in the detection box 33, And the third photoelectric sensor 29 is sensitive to the position of the fruit, and controls the corresponding separation baffle 28 to open respectively. The three rotating magnets respectively control the opening of the corresponding separation baffles according to the grade judgment results in the detection box and the position sensing of the fruit by the photoelectric sensor, so as to realize the separation of the fruit.

参见图4,所述角度调整杆机构32由固定板10、角度调整杆11、固定板12组成,所述角度调整杆11上端与固定板12连接,下端穿过固定板10通过螺母固定;所述固定板12安装在倾斜式输送带6侧面的挡板9连接;所述固定板10与机架1连接。固定板10上开有凹槽,便于角度调整杆穿过,并通过螺母在杆上的位置来调整传送机构的倾斜角度,角度调整杆上部与螺丝连接处可以转动,通过挡条和挡板的配合,保证果实稳定地进入各工作流程。 Referring to Fig. 4, described angle adjustment rod mechanism 32 is made up of fixed plate 10, angle adjustment rod 11, fixed plate 12, and the upper end of described angle adjustment rod 11 is connected with fixed plate 12, and the lower end passes through fixed plate 10 and is fixed by nut; The fixed plate 12 is connected to the baffle plate 9 installed on the side of the inclined conveyor belt 6; the fixed plate 10 is connected to the frame 1. There is a groove on the fixing plate 10, which is convenient for the angle adjustment rod to pass through, and adjusts the inclination angle of the transmission mechanism through the position of the nut on the rod. Cooperate to ensure that the fruit enters each work process stably.

图5为本实用新型一种猕猴桃检测分级装置的工作流程图,具体工作过程如下: Fig. 5 is the working flow chart of a kind of kiwi fruit detection and classification device of the present utility model, and concrete work process is as follows:

猕猴桃在传送带上运行,当光电传感器14检测到猕猴桃的位置信息时,便通过控制系统控制摄像头26采集果实图像,并借助matlab编写的程序对图像进行实时处理,得出猕猴桃大小等级信息;同时控制超声波测距传感器开始调整其断面到猕猴桃的距离,由于测距传感器端面与光纤探头端面之间的距离保持不变,因此便间接的调整了光纤探头到猕猴桃果实的距离,使其达到我们设定的实验所需要的最佳距离,随后猕猴桃继续运行,当光电传感器24检测到猕猴桃的位置信息时,启动光谱仪采集数据,计算机根据建好的光谱吸收率与猕猴桃真实糖度的模型来处理数据,得出糖度等级信息,之后三个集果槽下方的三个旋转磁铁根据检测箱内的等级判定结果,以及光电传感器对果实的位置感应,分别控制相应的分离挡板打开,从而实现果实的分离。 The kiwi fruit runs on the conveyor belt. When the photoelectric sensor 14 detects the position information of the kiwi fruit, the camera 26 is controlled by the control system to collect the fruit image, and the image is processed in real time by means of a program written by matlab to obtain the kiwi fruit size grade information; The ultrasonic ranging sensor starts to adjust the distance from its cross-section to the kiwi fruit. Since the distance between the end face of the ranging sensor and the end face of the fiber optic probe remains unchanged, the distance from the fiber optic probe to the kiwi fruit is indirectly adjusted to make it reach the value we set. Then the kiwi continued to run, and when the photoelectric sensor 24 detected the position information of the kiwi, the spectrometer was started to collect data, and the computer processed the data according to the model of the built-up spectral absorptivity and the true sugar content of the kiwi, and obtained The sugar content grade information is output, and then the three rotating magnets under the three fruit collecting troughs control the opening of the corresponding separation baffles respectively according to the grade judgment results in the detection box and the position sensing of the fruit by the photoelectric sensor, so as to realize the separation of the fruit.

本装置采用单片机进行整体控制,利用Microsoft微软相机进行图像采集,计算机图像处理技术判别猕猴桃大小,光谱数据处理技术判别猕猴桃糖度等级。通过串口使计算机和单片机进行通信,从而将图像以及光谱处理的信息和分离机构的控制结合起来。传感器对工作过程进行精确检测反馈,输送速度通过电动机调频实现。该系统机构简单、控制方便,具备输送果实;能够准确无损地检测猕猴桃内、外部品质;实现果实分离的功能,它解决了人工分选劳动强度大、效率低、成本高的问题,实现了猕猴桃分选作业的机械化、自动化和智能化,为猕猴桃果实采摘机器人提供了关键技术支撑。 The device adopts a single-chip microcomputer for overall control, uses a Microsoft camera for image collection, computer image processing technology to judge the size of kiwifruit, and spectral data processing technology to judge the sugar level of kiwifruit. The computer communicates with the single-chip microcomputer through the serial port, so as to combine the image and spectral processing information with the control of the separation mechanism. The sensor performs accurate detection and feedback on the working process, and the conveying speed is realized by frequency modulation of the motor. The system is simple in mechanism, easy to control, and capable of transporting fruits; it can accurately and non-destructively detect the internal and external quality of kiwifruit; it can realize the function of fruit separation, which solves the problems of high labor intensity, low efficiency, and high cost of manual sorting, and realizes the The mechanization, automation and intelligence of sorting operations provide key technical support for kiwi fruit picking robots.

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.
CN201520768271.1U 2015-10-07 2015-10-07 Kiwi fruit detects grading plant Expired - Fee Related CN205032397U (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
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

Cited By (3)

* Cited by examiner, † Cited by third party
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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