WO2018088582A1 - Pig volume estimation system and method therefor - Google Patents

Pig volume estimation system and method therefor Download PDF

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Publication number
WO2018088582A1
WO2018088582A1 PCT/KR2016/012912 KR2016012912W WO2018088582A1 WO 2018088582 A1 WO2018088582 A1 WO 2018088582A1 KR 2016012912 W KR2016012912 W KR 2016012912W WO 2018088582 A1 WO2018088582 A1 WO 2018088582A1
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WIPO (PCT)
Prior art keywords
pig
data
model
measured
length
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PCT/KR2016/012912
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French (fr)
Korean (ko)
Inventor
김현태
왕은철
조재민
김희태
정호준
문병은
조진석
이민호
김성식
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경상대학교산학협력단
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Publication of WO2018088582A1 publication Critical patent/WO2018088582A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/20—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring contours or curvatures, e.g. determining profile
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
    • G01F22/00—Methods or apparatus for measuring volume of fluids or fluent solid material, not otherwise provided for
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof

Definitions

  • the present invention relates to a system for estimating pig volume, and more particularly, to a pig volume estimating system capable of acquiring pig volume related data using a CCD camera and a laser scanner and estimating pig volume using the same.
  • Korean Patent Publication No. 10-1128908 suggests a production weight screening device. More specifically, the apparatus relates to a standardized pig production weight sorting apparatus that is classified by weight band before shipment of individual pigs, the apparatus comprising: an entrance door formed at the front side so that only one individual pig can enter; A middle door positioned close to the entrance door and simultaneously with the entrance door, the intermediate door serving as a driving plate for driving individual pigs passing through the entrance door inward; Weight measuring means for measuring the weight of the individual pigs driven forward by the intermediate door and sorting according to a set standard; An exit door for separating the individual weighed pigs by weight; A controller for controlling opening and closing of the entrance door, the intermediate door, and the exit door, and recording and managing data signals from the weight measuring means; Door opening and closing means each mounted to the entrance door, the intermediate door, and the exit door under the control of the controller to open and close the doors; Sensors attached to the entrance door, the middle door, and the exit door, respectively, to detect opening and closing of the doors;
  • An object of the present invention is to provide a pig volume estimating apparatus capable of automatically estimating the total volume of pigs as an invention devised to solve the above problems.
  • a pig volume measuring system for measuring the volume of a pig.
  • the pig volume measurement system includes a pig data acquisition device for measuring the dimensions and lateral curvatures of pigs housed therein; And a 3D modeling file coupled to communicate with a pig data acquisition device, the 3D modeling file being formed using back length data for the model pig, a plurality of flex data measured at multiple points on the side of the model pig, length data and a plurality of flex data.
  • a pig data acquisition device for measuring the dimensions and lateral curvatures of pigs housed therein
  • a 3D modeling file coupled to communicate with a pig data acquisition device, the 3D modeling file being formed using back length data for the model pig, a plurality of flex data measured at multiple points on the side of the model pig, length data and a plurality of flex data.
  • the pig data acquisition device is configured to collect pig image and side lateral bending data from the side of the pig housed in the pig data acquisition device and transmit it to the analysis device.
  • the analyzing apparatus is operable to estimate the volume of the pig using the back image and the lateral flexure data transmitted from the pig data acquisition apparatus.
  • the pig data acquisition apparatus includes a main body frame in which the pig is accommodated; An object detecting means installed at an upper side of the main body frame to detect the presence of a pig in the main body frame; Photographing means provided for photographing the entire back portion of the pig, which is provided at an upper side of the main body frame; And a bend measuring means for measuring side curvature of the pig along the vertical direction at any point of the side of the pig received and installed at the side of the main frame.
  • the analyzing apparatus converts the pig's back image data transmitted from the pig data acquisition device into a binarized image, calculates the number of pixels of the pig's back image based on the binarized image, and measures the pig's back length. do.
  • the analysis device compares the pig side lateral bending data transmitted from the pig data acquisition device with the plural lateral bending data of the model pigs stored in the analyzing device, and compares the pigs' side measured data similar to the actual measured side buckling data of the pig. It is further operated to retrieve the flex data.
  • the analysis device is further operated to determine the side position of the pig, in which the actual measured side flexion data of the pig is photographed based on the photographed position of the lateral flexion data of the model pig.
  • the analytical device also calculates the ratio of the length between the actual measured pig length and the length of the piglet, and the ratio between the actual measured pig side bend and the corresponding side bend of the piglet.
  • the ratio is further applied to the 3D modeling file of the model pig as a similarity rate to generate a 3D modeling file for the actual measured pig.
  • the analysis device is further operative to estimate the volume for the actual measured pig based on the 3D modeling file generated for the actual measured pig.
  • the pig data acquisition device further includes a weighing means which is provided on the lower side of the main body frame to measure the weight of the pig in the main body frame, and the analysis device is determined from the weighing means of the pig data acquisition device. It further receives the measured weight and operates to further calculate the weight per unit area of the measured pig based on the estimated volume of the pig and the received weight in the foregoing embodiment.
  • a method for estimating the volume of a pig comprising
  • According to the present invention can provide a pig volume estimation system that can automatically estimate not only the weight of the pig, but also relatively simply the total volume.
  • FIG. 1 is a view schematically showing a pig data acquisition device according to the present invention.
  • Figure 2 is a block diagram showing the internal configuration of a pig volume estimation system comprising a pig data acquisition device and an analysis device according to the present invention.
  • Figure 3 is a view showing the model pig and its 3D modeling file in the pig volume estimation system according to the present invention.
  • FIG. 4 is an explanatory diagram showing a process for calculating the length of a pig measured in a pig volume estimation system according to the present invention.
  • FIG 5 shows the side profile profile of a pig at any point in the pig volume estimation system according to the present invention.
  • Figure 6 is a view for comparing the lateral flexion profile of the model pigs to the lateral flexion profile of the measured pig in the pig volume estimation system according to the present invention.
  • FIG. 7 is a flow chart showing the processing flow in the analysis device of the pig volume estimation system according to the present invention.
  • FIG. 1 is a view showing an embodiment of a pig data acquisition device 10 of the pig volume estimation system 1 for estimating the volume of pigs according to the present invention.
  • the pig data acquisition apparatus 10 includes a frame 100 having a rectangular shape.
  • the entrance door 110 formed on the front of the pig data acquisition device 10 so that only one individual pig can enter; It is formed on the opposite side of the entrance door 10 and the exit door 120 for exiting the pig is formed.
  • the upper portion 140 of the frame and the object detecting means 200 for detecting the presence of a pig in the pig data acquisition device 10;
  • a photographing means 300 is provided for capturing the upper picture including the back of the pig, and the bending measurement for measuring the side portion curvature of the swine entered into the side portion 130 of the frame 100 of the pig data acquisition device 10.
  • Means 400 are installed.
  • FIG. 2 is a block diagram showing the internal components of a pig volume estimation system 1 that includes a pig data acquisition device 10 and an analysis device 20 that analyzes data measured from the pig data acquisition device 10.
  • the pig data acquisition apparatus 10 is the object detecting means 200 for detecting the presence of pigs in the frame 100, the photographing means 300 for photographing the upper side of the pig ), Bend measurement means 400 for measuring the side curve of the pig, communication means 500 for transmitting information to an external analysis device and the object detection means 200, photographing means 300, as described above, It includes a control unit 600 for controlling the bend measuring means 400 and the communication means 500.
  • the object detecting means 200 is preferably installed in the upper portion 200 of the pig data acquisition device 10 and configured to detect the presence or absence of a pig in the pig data acquisition device 10.
  • an infrared sensor or an ultrasonic sensor may be used as the object detecting means 200.
  • the infrared sensor includes a light emitter that emits light of a predetermined frequency and a light receiver that receives light, and the infrared light emitted from the light emitter is reflected by the object, and the reflected light is detected by the light receiver.
  • the presence and distance can be measured. In case of using infrared sensor, it is possible to measure about 30cm.
  • an ultrasonic sensor may be used, and the ultrasonic sensor may measure the presence and distance of an object by converting the time taken for transmission and reception into the speed of sound waves by transmitting and receiving ultrasonic waves.
  • the weight sensor is installed on the lower side of the pig data acquisition device 10 and the load of the pig data acquisition device 10 is to be configured to determine that the pig is present inside the device 10 It may be.
  • the advantage that the weight of the pig can be measured together with the pig's volume can be further obtained.
  • the object detecting means 200 detects the presence of an object (pig) in the pig data acquisition apparatus 10 and transmits the result to the controller 600.
  • the controller 600 drives the photographing means 300 installed on the upper side of the volume estimating apparatus 10 to photograph the entire back of the pig.
  • the photographing means 300 may be a solid-state image sensor of a Charge Coupled Device (CCD) type or a Complementary Metal-Oxide-Semiconductor (COMS) type, and the photographing means 300 may include an optical system ( OPS) converts the optical signal into an electrical signal and stores it.
  • OPS optical system
  • the photographing means 300 transmits the captured image data to the communication means 500 under the control unit 600.
  • the bend measuring means 400 is installed on the side frame 130 of the pig data acquisition apparatus 10 and is configured to measure the side part curvature of the pig at any point.
  • the bend measuring means 400 is configured to be movable along the longitudinal direction L on the side frame of the pig data acquisition device 10 so as to be configured to measure the side lateral bending of the pig at any desired point.
  • the bend measurement means 400 is preferably a laser line scanner.
  • the laser line scanner includes a laser scanner portion and rotating means for rotating the laser scanner portion from top to bottom or from bottom to top in the pig data acquisition apparatus 10;
  • the bend measuring means 400 transmits the side bending data of the swine measured by rotation driving to the communication means 500 under the control unit 600.
  • the communication means 500 is configured to transmit the photographing data received from the photographing means 300 and the bend measurement data received from the bend measuring means 400 to the external analysis device 20.
  • the communication means 500 may be a communication module using a wired or wireless LAN or a serial communication module using RS232, RS422, or RS485, and the present invention is not limited to these communication means.
  • the analysis device 20 is preferably configured to measure the volume of the pig based on the imaging data and the bend measurement data transmitted from the communication means 500.
  • the analysis device 20 may preferably be a personal personal computer comprising an application for performing calculations to measure pig volume in accordance with the invention, and may consist of a server connected to a network or a dedicated hardware device.
  • the pig data acquisition apparatus 10 detects the presence or absence of an object (pig) in the pig data acquisition apparatus 10 by the object detecting means 200 under the control of the controller 600.
  • the photographing means 300 first photographs the upper part (back) of the pig, and then the bend measuring means 400 is located at one point of the side of the pig. Measure the bending data along the vertical direction.
  • control unit 600 transmits the above-described photographing data and the bend measurement data to the analyzing apparatus 20 through the communication means 500, thereby completing data collection for estimating the volume of the pig relatively simply.
  • the weight of the pig measured from the weighing means may be further transmitted to the analysis device 20 through the communication means 500. It may be.
  • a separate process such as measuring a predetermined portion by using a tape measure or the like to measure the weight or volume of the pig. Since is not necessary, the time the pig stays in the pig data acquisition device 10 can be shortened and the stress that the pig is stressed can be minimized.
  • model pig is accommodated in the pig data acquisition device 10 as described above, and then the model.
  • the back data (length) of the money and the bending data in the plurality of side parts measured at a plurality of points on the side of the model money are acquired, and the measured data is stored in the analysis device 20 as reference data.
  • the pig since the pig has a unique curved surface at its side position, it is preferable to improve the accuracy of the pig's bending data, if possible, measured and stored at close intervals.
  • the analysis device 20 generates a 3D modeling file as shown in FIG. 3B and calculates a reference volume using the measured length data and the side curve data of the model pig.
  • the image data of the upper surface (back) is black and white converted through black and white binarization, and only the pig portion of the black and white converted image data is separated, so that the length per pixel can be obtained.
  • the plurality of bending data may provide a reference indicator to the user through comparison with the measured pig.
  • FIG. 3 (b) shows a 3D file of model pigs 3D modeled using the bending data and the length data of the model pigs obtained as described above.
  • FIG. 4A is a diagram showing a photographed image photographed by the photographing means 300 in the pig data acquisition device 10 and transmitted to the analysis device 20 via the communication means 500.
  • the analysis device 20 After receiving the captured image, the analysis device 20 converts the captured image into a black and white image through binarization of the captured image, and separates only the shape corresponding to the pig.
  • the analysis device 20 calculates the number of pixels along the transverse direction from the pig shape data as shown in FIG. Since the length per pixel can be calculated from the length data of the model pigs, the number of pixels is calculated from the binary image of the pig being measured, and the length of the pig can be obtained data correspondingly accordingly.
  • FIG. 5 is a diagram showing the bend data measured at any side position p of the pig, measured from the bend measuring means 400 in the pig data acquisition device 10. As shown in FIG. 5, the pig measured by the pig data acquisition device 10 has side bending data as shown in FIG. 5B at point p.
  • 6 (a) and 6 (b) show lateral measurement points and lateral bending data in measured pigs, and (c) and (d) show lateral measurement points and lateral bending data in model pigs.
  • the analysis device 20 compares the lateral bending data profile of the model pig stored in the analysis device 20 using the lateral bending data obtained as shown in FIG. 5 (b) or 6 (a) and (b). Perform.
  • the analyzing apparatus 20 finds the bending profile data most similar to the measured side flexion data (Fig. 6 (b)) from the database so that the measured side flexion profile of the pig corresponds to the position p 'of the model pig. You will find out.
  • the analysis apparatus 20 compares the length data of the hog pigs with the length data of the hog pigs and the bending data using the side bend data at the lateral position p 'of the hog pigs, and increases or decreases according to the comparison result. Calculate the length ratio (x) and the bending ratio (y).
  • the analysis apparatus 20 applies the calculated length ratio x and the bending ratio y to the 3D file of the model money as shown in FIG. 3 (b) as a law of similitude. Create a 3D model for the pig and calculate the volume for the generated 3D model.
  • the new 3D model is extended by multiplying the length by 1.13 times and lateral bending by 1.37 times the 3D model of the model pig.
  • the volume can be calculated.
  • the analysis device 20 uses the weight of the measured pig received from the weighing means and the volume calculated above. Even the weight per unit area (weight / volume) of pigs can be calculated.
  • FIG. 7 is a flow chart showing the flow for swine volume estimation in the analysis device 20 according to the present invention.
  • step S110 length data and lateral bending data of the model pig are collected.
  • the length data of the model pigs is obtained by binarizing the image acquired from the photographing means 300 of the pig data acquisition device 10 and calculating the pixels of the image portion corresponding to the model pigs to obtain the length per pixel together with the length of the model pigs. Can lose.
  • the bend data of the model money can be obtained through a bend measuring means such as a laser line scanner at a plurality of lateral positions of the model money.
  • the acquired length data, length information per pixel, and bending data are all stored in the analysis device 20 as reference data for volume estimation.
  • step S111 the analysis device 20 creates a 3D modeling file using the length data of the model pig and the lateral bending data.
  • step S112 the upper (back) image data of the pig that is measured from the pig data acquisition device 10 is received, and in a subsequent step S113, at one point of the side of the pig that is measured Lateral bending data of is received by the analysis device 20.
  • the analyzing apparatus 20 calculates the measured pig length through binarization and pixel calculation of the climbing image for the pig received in step S112 first in step S114. The analyzing apparatus 20 then compares the pig's side flexion data measured in step S115 with the model pig's side flexion data stored in the database.
  • the analyzing apparatus 20 determines the position on the model pig corresponding to the lateral position of the measured pig by comparing the side flexion data as described above in step S116, and in step 117 the analyzing apparatus 20 performs The length ratio and the bending ratio are calculated by comparing the length data with the length data in the measured pig, while comparing the bending data at the corresponding position in the piglet with the bending data in the measured pig.
  • step S118 the analyzing apparatus 20 generates the 3D modeling file for the measured pig as in step S119 by applying the calculated length ratio and the bending ratio to the 3D modeling file of the model pig.
  • step S120 the analysis apparatus 20 calculates the volume for the measured pig using the newly generated 3D modeling file for the measured pig.
  • the analysis device 20 when weight data is received from the pig data acquisition device 10, the analysis device 20 further calculates the weight (or density) per unit volume of the pig using the volume calculated in step S120 and the received weight data. It may also include.

Abstract

The present invention relates to a system for estimating a pig volume, comprising: a pig data acquisition device for measuring the size and the lateral flexure of a pig accommodated therein; and an analysis device coupled with the pig data acquisition device so as to be capable of communicating therewith, and storing back length data on a model pig, a plurality of pieces of flexure data measured at a plurality of points on the side of the model pig, and a 3D modeling file generated by using the length data and the plurality of pieces of flexure data, wherein the pig data acquisition device is configured so as to collect a back image of the pig accommodated in the pig data acquisition device and one piece of lateral flexure data at the side thereof and transmit the same to the analysis device, and the analysis device is operated so as to estimate the volume of the pig by using the back image and the lateral flexure data transmitted from the pig data acquisition device.

Description

돼지 부피 추정 시스템 및 그 방법Pig volume estimation system and method
본 발명의 돼지 부피 추정을 위한 시스템에 관한 것으로 구체적으로는 CCD 카메라와 레이저 스캐너를 이용하여 돼지 부피 관련 데이터를 취득하고 이를 이용하여 돼지 부피를 추정할 수 있는 돼지 부피 추정 시스템에 관한 것이다. The present invention relates to a system for estimating pig volume, and more particularly, to a pig volume estimating system capable of acquiring pig volume related data using a CCD camera and a laser scanner and estimating pig volume using the same.
종래 돼지 부피를 측정하는 장치들이 알려져 있다. Conventional devices for measuring swine volume are known.
일례로 대한민국 특허공보 10-1128908호는 생산 체중선별 장치에 대해 시사하고 있다. 보다 상세하게 이 장치는 개체 돼지를 출하하기 전에, 체중대 별로 구분하여 분류하는 규격돈 생산 체중선별 장치에 관한 것으로, 이 장치는 한마리의 개체 돼지만이 입장할 수 있도록 전면에 형성된 입구문과; 상기 입구문에 가까이 위치되며, 상기 입구문과 동시에 열려, 상기 입구문을 통과한 개체 돼지를 안쪽으로 몰아가는 몰이판 역활을 겸하는 중간문과; 상기 중간문에 의해 앞쪽으로 몰아 넣어진 개체 돼지의 체중을 측정하고 설정된 기준에 따라 분류하는 체중측정 수단과; 상기 체중이 측정된 개체 돼지를 체중별로 분리하기 위한 출구문과; 상기 입구문, 중간문 및, 출구문의 개폐를 제어하며, 상기 체중측정수단으로부터의 데이터신호를 기록 및 관리하는 컨트롤러와; 상기 컨트롤러의 제어하에, 상기 입구문, 중간문 및, 출구문에 각각 장착되어, 상기 문들을 개폐시키는 문 개폐수단과; 상기 입구문, 중간문 및, 출구문에 각각 장착되어, 상기 문들의 개폐와 개체 돼지의 출입을 감지하는 센서 및; 상기 입구문, 중간문, 출구문, 문 개폐수단 및, 센서가 장착되는 섀시;로 구성되어 있다. For example, Korean Patent Publication No. 10-1128908 suggests a production weight screening device. More specifically, the apparatus relates to a standardized pig production weight sorting apparatus that is classified by weight band before shipment of individual pigs, the apparatus comprising: an entrance door formed at the front side so that only one individual pig can enter; A middle door positioned close to the entrance door and simultaneously with the entrance door, the intermediate door serving as a driving plate for driving individual pigs passing through the entrance door inward; Weight measuring means for measuring the weight of the individual pigs driven forward by the intermediate door and sorting according to a set standard; An exit door for separating the individual weighed pigs by weight; A controller for controlling opening and closing of the entrance door, the intermediate door, and the exit door, and recording and managing data signals from the weight measuring means; Door opening and closing means each mounted to the entrance door, the intermediate door, and the exit door under the control of the controller to open and close the doors; Sensors attached to the entrance door, the middle door, and the exit door, respectively, to detect opening and closing of the doors and entrance and exit of individual pigs; The entrance door, the middle door, the exit door, the door opening and closing means, and the chassis on which the sensor is mounted.
이와 같은 장치에 따르면 비육돈의 출하 체중을 규격화할 수 있어 개체 돼지고기 품질규격화 및 등급개선할 수 있고, 또한, 출하돈의 스트레스를 최소화하면서 출하시 정확한 체중측정에 의한 출하와 분류로 작업효율을 향상시킬 수 있는 것으로 기재되어 있다.According to such a device, it is possible to standardize the weight of the hog hog to improve the quality and grade of individual pork, and to improve the work efficiency by shipment and classification by accurate weight measurement at the time of shipment while minimizing the stress of the hog money. It is described as being possible.
그러나 이와 같은 종래의 장치는 돼지의 전체 체중만을 측정하기 위한 것으로 돼지의 부위별 부피 추정은 불가능하다는 문제점이 있고, 이와 같은 장치에서 부피를 측정하기 위해서는 돼지의 몸을 계량대 또는 측정판 위에 눕히고 돼지의 전체 크기와 지정된 부위를 측정용 자를 이용하여 측정함에 따라 작업이 번거러울 뿐만 아니라 정확한 돼지의 전체 부피 측정이 어렵다는 문제점이 발생한다. However, such a conventional device is only for measuring the total weight of the pig, there is a problem that it is impossible to estimate the volume of each part of the pig, in order to measure the volume in such a device to lay the pig's body on the weighing table or measuring plate and As a result of measuring the total size and the designated area of the measuring device using a measuring ruler, it is not only cumbersome but also causes a problem that it is difficult to accurately measure the total volume of the pig.
*선행기술문헌: 대한민국 특허공보 10-1128908호* Prior art document: Korean Patent Publication No. 10-1128908
본 발명은 전술한 문제점을 해결하기 위해 안출된 발명으로서 돼지의 전체 부피를 자동으로 추정할 수 있는 돼지 부피 추정 장치를 제공하는 것을 목적으로 한다.An object of the present invention is to provide a pig volume estimating apparatus capable of automatically estimating the total volume of pigs as an invention devised to solve the above problems.
전술한 과제를 해결하기 위해 본 발명의 제1 양태에 따르면 돼지의 부피를 측정하기 위한 돼지 부피 측정 시스템이 제공된다.According to a first aspect of the present invention for solving the above problems, there is provided a pig volume measuring system for measuring the volume of a pig.
돼지 부피 측정 시스템은, 그 내부에 수용된 돼지의 치수 및 측면 굴곡을 측정하기 위한 돼지 데이터 취득 장치; 및 돼지 데이터 취득 장치와 통신가능하도록 결합되고, 모형돈에 대한 등 길이 데이터, 모형돈의 측면의 복수 지점에서 측정된 복수의 굴곡 데이터, 길이 데이터와 복수의 굴곡 데이터를 이용하여 형성된 3D 모델링 파일를 저장한 분석 장치를 포함한다.The pig volume measurement system includes a pig data acquisition device for measuring the dimensions and lateral curvatures of pigs housed therein; And a 3D modeling file coupled to communicate with a pig data acquisition device, the 3D modeling file being formed using back length data for the model pig, a plurality of flex data measured at multiple points on the side of the model pig, length data and a plurality of flex data. One analysis device.
또한 돼지 데이터 취득 장치는, 돼지 데이터 취득 장치 내에 수용된 돼지의 등 화상과 측면에서의 하나의 측면 굴곡 데이터를 수집하여 분석 장치로 전송하도록 구성된다.Further, the pig data acquisition device is configured to collect pig image and side lateral bending data from the side of the pig housed in the pig data acquisition device and transmit it to the analysis device.
분석 장치는 돼지 데이터 취득 장치로부터 전송된 등 화상과 측면 굴곡 데이터를 이용하여 돼지의 부피를 추정하도록 동작한다. The analyzing apparatus is operable to estimate the volume of the pig using the back image and the lateral flexure data transmitted from the pig data acquisition apparatus.
전술한 양태에서 돼지 데이터 취득 장치는 돼지가 수용되는 본체 프레임; 본체 프레임의 상측부에 설치되어 본체 프레임 내의 돼지의 유무를 감지하기 위한 물체감지수단; 본체 프레임의 상측부에 설치되어 돼지의 전체 등부위를 촬영하기 위한 촬영 수단; 및 본체 프레임의 측면부에 설치되어 수용된 돼지의 측면부의 어느 한 지점에서 수직방향을 따른 돼지의 측면 굴곡을 측정하기 위한 굴곡부 측정수단을 포함한다. In the above-described aspect, the pig data acquisition apparatus includes a main body frame in which the pig is accommodated; An object detecting means installed at an upper side of the main body frame to detect the presence of a pig in the main body frame; Photographing means provided for photographing the entire back portion of the pig, which is provided at an upper side of the main body frame; And a bend measuring means for measuring side curvature of the pig along the vertical direction at any point of the side of the pig received and installed at the side of the main frame.
전술한 양태에서 분석 장치는 돼지 데이터 취득 장치로부터 전송되어 온 돼지의 등 화상 데이터를 이진화 영상으로 전환하고, 이진화 영상에 기반하여 돼지의 등 화상의 픽셀 수를 계산하여 돼지의 등 길이를 측정하도록 동작한다.In the above-described aspect, the analyzing apparatus converts the pig's back image data transmitted from the pig data acquisition device into a binarized image, calculates the number of pixels of the pig's back image based on the binarized image, and measures the pig's back length. do.
분석 장치는 돼지 데이터 취득 장치로부터 전송되어 온 돼지의 측면 굴곡 데이터를, 분석 장치에 저장되어 있는 모형돈의 복수의 측면 굴곡 데이터와 비교하고, 돼지의 실제 측정된 측면 굴곡 데이터와 유사한 모형돈의 측면 굴곡 데이터를 검색하도록 더 동작한다. The analysis device compares the pig side lateral bending data transmitted from the pig data acquisition device with the plural lateral bending data of the model pigs stored in the analyzing device, and compares the pigs' side measured data similar to the actual measured side buckling data of the pig. It is further operated to retrieve the flex data.
또한 분석 장치는 검색된 모형돈의 측면 굴곡 데이터의 촬영 위치에 기반하여 실제 측정된 돼지의 측면 굴곡 데이터가 촬영된 돼지의 측면 위치를 결정하도록 더 동작한다. In addition, the analysis device is further operated to determine the side position of the pig, in which the actual measured side flexion data of the pig is photographed based on the photographed position of the lateral flexion data of the model pig.
또한 분석 장치는 실제 측정된 돼지의 길이와 모형돈의 길이 사이의 길이 비율과, 실제 측정된 돼지의 측면 굴곡과 모형돈의 대응하는 측면 굴곡 사이의 굴곡 비율을 계산하고, 계산된 길이 비율과 굴곡 비율을 상사율로서 모형돈의 3D 모델링 파일에 적용하여 실제 측정된 돼지에 대한 3D 모델링 파일을 생성하도록 더 동작한다. The analytical device also calculates the ratio of the length between the actual measured pig length and the length of the piglet, and the ratio between the actual measured pig side bend and the corresponding side bend of the piglet. The ratio is further applied to the 3D modeling file of the model pig as a similarity rate to generate a 3D modeling file for the actual measured pig.
또한 분석 장치는 실제 측정된 돼지에 대해 생성된 3D 모델링 파일에 기반하여 실제 측정된 돼지에 대한 부피를 추정하도록 더 동작한다.The analysis device is further operative to estimate the volume for the actual measured pig based on the 3D modeling file generated for the actual measured pig.
전술한 양태에서 돼지 데이터 취득 장치는, 본체 프레임의 하측부에 설치되어 본체 프레임 내의 돼지의 중량을 측정하기 위한 중량 측정 수단을 더 포함하고, 분석 장치는, 상기 돼지 데이터 취득 장치의 중량 측정 수단으로부터 측정된 중량을 더 수신하고, 전술한 양태에서 추정된 돼지의 부피와 수신된 중량에 기반하여 측정된 돼지의 단위 면적당 중량을 더 계산하도록 동작한다. In the above-mentioned aspect, the pig data acquisition device further includes a weighing means which is provided on the lower side of the main body frame to measure the weight of the pig in the main body frame, and the analysis device is determined from the weighing means of the pig data acquisition device. It further receives the measured weight and operates to further calculate the weight per unit area of the measured pig based on the estimated volume of the pig and the received weight in the foregoing embodiment.
본 발명의 제2 양태에 따르면 돼지의 부피를 추정하기 위한 방법이 제공되고, 이 방법은, According to a second aspect of the invention there is provided a method for estimating the volume of a pig, the method comprising
모형돈의 길이 데이터 및 모형돈의 측면부의 복수의 위치에서 복수의 측면 굴곡 데이터를 수집하고 저장하는 단계;Collecting and storing the length data of the model money and the plurality of side bending data at a plurality of positions at the side portions of the model money;
모형돈의 길이 데이터와 복수의 측면 굴곡 데이터를 이용하여 모형돈에 대한 3D 모델링 파일을 생성하는 단계;Generating a 3D modeling file for the model pig using the length data of the model pig and the plurality of lateral bending data;
실측 돼지로부터 등 화상 데이터와, 실측 돼지의 측면 한 지점에서의 측면 굴곡 데이터를 수신하는 단계;Receiving back image data and lateral bending data at a point on the side of the measured pig from the measured pig;
등 화상 데이터를 이진화하여 돼지의 길이를 계산하는 단계;Calculating the length of the pig by binarizing the image data;
돼지의 측면 한 지점에서의 측면 굴곡 데이터를 저장된 복수의 측면 굴곡 데이터와 비교하는 단계;Comparing the side flexion data at a point on the side of the pig with a plurality of stored side flexure data;
복수의 측면 굴곡 데이터와 비교하여 가장 근사한 모형돈의 측면 굴곡 데이터를 산정하고 모형돈 상에서 대응 위치를 결정하는 단계;Calculating lateral flexion data of the closest model piglet compared to the plurality of lateral flexure data and determining a corresponding position on the model pig;
모형돈과 실측 돼지의 등 길이 비율과 측면 굴곡 비율을 계산하는 단계;Calculating the back length ratio and the lateral flexion ratio of the model pig and the measured pig;
계산된 등 길이 비율과 측면 굴곡 비율을 모형돈의 3D 모델링 파일에 인가하는 단계;Applying the calculated back length ratio and lateral bending ratio to the 3D modeling file of the model pig;
실측된 돼지에 대한 3D 모델링 파일을 생성하는 단계;Generating a 3D modeling file for the measured pig;
생성된 실측 돼지에 대한 3D 모델링 파일에 기반하여 돼지의 부피를 추정하는 단계를 포함한다.Estimating a pig's volume based on the generated 3D modeling file for the pig.
본 발명에 따르면 돼지의 무게 뿐만 아니라 비교적 간단하게 전체 부피까지 자동으로 추정할 수 있는 돼지 부피 추정 시스템를 제공할 수 있다.According to the present invention can provide a pig volume estimation system that can automatically estimate not only the weight of the pig, but also relatively simply the total volume.
도 1은 본 발명에 따른 돼지 데이터 취득 장치를 개략적으로 나타낸 도면.1 is a view schematically showing a pig data acquisition device according to the present invention.
도 2는 본 발명에 따른 돼지 데이터 취득 장치와 분석 장치를 포함하는 돼지 부피 추정 시스템의 내부 구성을 도시한 블록도.Figure 2 is a block diagram showing the internal configuration of a pig volume estimation system comprising a pig data acquisition device and an analysis device according to the present invention.
도 3은 본 발명에 따른 돼지 부피 추정 시스템에서의 모형돈과 그 3D 모델링 파일을 나타낸 도면.Figure 3 is a view showing the model pig and its 3D modeling file in the pig volume estimation system according to the present invention.
도 4는 본 발명에 따른 돼지 부피 추정 시스템에서 실측되는 돼지의 길이를 산정하기 위한 과정을 나타낸 설명도.4 is an explanatory diagram showing a process for calculating the length of a pig measured in a pig volume estimation system according to the present invention.
도 5는 본 발명에 따른 돼지 부피 추정 시스템에서의 임의 지점에서의 돼지의 측면 굴록 프로파일을 나타낸 도면.5 shows the side profile profile of a pig at any point in the pig volume estimation system according to the present invention.
도 6은 본 발명에 따른 돼지 부피 추정 시스템에서의 실측된 돼지의 측면 굴곡 프로파일에 대한 모형돈의 측면 굴곡 프로파일을 비교하기 위한 도면.Figure 6 is a view for comparing the lateral flexion profile of the model pigs to the lateral flexion profile of the measured pig in the pig volume estimation system according to the present invention.
도 7은 본 발명에 따른 돼지 부피 추정 시스템의 분석 장치에서의 처리 흐름을 나타낸 흐름도.7 is a flow chart showing the processing flow in the analysis device of the pig volume estimation system according to the present invention.
본 발명의 이점 및 특징, 그리고 그것들을 달성하는 방법은 첨부되는 도면과 함께 상세하게 후술되는 실시예를 참조하면 명확해질 것이다. 그러나, 본 발명은 이하에서 개시되는 실시예에 한정되는 것이 아니라 서로 다른 다양한 형태로 구현될 것이다. Advantages and features of the present invention, and methods for achieving them will be apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms.
본 명세서에서 본 실시예는 본 발명의 개시가 완전하도록 하며, 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에게 발명의 범주를 완전하게 알려주기 위해 제공되는 것이다. 그리고 본 발명은 청구항의 범주에 의해 정의될 뿐이다. 따라서, 몇몇 실시예들에서, 잘 알려진 구성 요소, 잘 알려진 동작 및 잘 알려진 기술들은 본 발명이 모호하게 해석되는 것을 피하기 위하여 구체적으로 설명되지 않는다. In this specification, the embodiments are provided so that the disclosure of the present invention may be completed and the scope of the present invention may be completely provided to those skilled in the art. And the present invention is only defined by the scope of the claims. Thus, in some embodiments, well known components, well known operations and well known techniques are not described in detail in order to avoid obscuring the present invention.
명세서 전체에 걸쳐 동일 참조 부호는 동일 구성 요소를 지칭한다. 그리고, 본 명세서에서 사용된(언급된) 용어들은 실시예들을 설명하기 위한 것이며 본 발명을 제한하고자 하는 것은 아니다. 본 명세서에서, 단수형은 문구에서 특별히 언급하지 않는 한 복수형도 포함한다. 또한, '포함(또는, 구비)한다'로 언급된 구성 요소 및 동작은 하나 이상의 다른 구성요소 및 동작의 존재 또는 추가를 배제하지 않는다. Like reference numerals refer to like elements throughout. In addition, the terms used (discussed) herein are for the purpose of describing particular embodiments only and are not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. In addition, components and operations referred to as 'includes (or includes)' do not exclude the presence or addition of one or more other components and operations.
다른 정의가 없다면, 본 명세서에서 사용되는 모든 용어(기술 및 과학적 용어를 포함)는 본 발명이 속하는 기술분야에서 통상의 지식을 가진 자에게 공통적으로 이해될 수 있는 의미로 사용될 수 있을 것이다. 또 일반적으로 사용되는 사전에 정의되어 있는 용어들은 정의되어 있지 않은 한 이상적으로 또는 과도하게 해석되지 않는다.Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used in a sense that can be commonly understood by those skilled in the art. In addition, the terms defined in the commonly used dictionary are not ideally or excessively interpreted unless they are defined.
도 1은 본 발명에 따른 돼지의 부피를 추정하기 위한 돼지 부피 추정 시스템(1)의 돼지 데이터 취득 장치(10)의 실시예를 나타낸 도면이다.1 is a view showing an embodiment of a pig data acquisition device 10 of the pig volume estimation system 1 for estimating the volume of pigs according to the present invention.
도 1에 도시한 바와 같이, 본 발명에 따른 돼지 데이터 취득 장치(10)는 직사각형의 형상을 가진 프레임(100)을 포함한다. 프레임(100)에는 한마리의 개체 돼지만이 입장할 수 있도록 돼지 데이터 취득 장치(10)의 전면에 형성된 입구문(110)과; 입구문(10)의 맞은쪽에 형성되고 돼지가 나가기 위한 출구문(120)이 형성된다. As shown in FIG. 1, the pig data acquisition apparatus 10 according to the present invention includes a frame 100 having a rectangular shape. In the frame 100, the entrance door 110 formed on the front of the pig data acquisition device 10 so that only one individual pig can enter; It is formed on the opposite side of the entrance door 10 and the exit door 120 for exiting the pig is formed.
또한 프레임의 상측부(140)에는 돼지 데이터 취득 장치(10)에 돼지의 존재 유무를 감지하기 위한 물체감지수단(200)과; 돼지의 등을 포함한 상부 사진을 촬영하기 위한 촬영 수단(300)이 설치되고, 돼지 데이터 취득 장치(10)의 프레임(100)의 측면부(130)에는 입장된 돼지의 측면부 굴곡을 측정하기 위한 굴곡측정수단(400)이 설치된다. In addition, the upper portion 140 of the frame and the object detecting means 200 for detecting the presence of a pig in the pig data acquisition device 10; A photographing means 300 is provided for capturing the upper picture including the back of the pig, and the bending measurement for measuring the side portion curvature of the swine entered into the side portion 130 of the frame 100 of the pig data acquisition device 10. Means 400 are installed.
또한 돼지 데이터 취득 장치(10)의 프레임(100)의 일부분에는 외부의 분석장치(20)로 촬영 수단(300)으로부터 촬영된 화상 데이터와 측면굴곡측정부(400)로부터 측정된 돼지의 측면 굴곡 데이터를 전송하기 위한 통신수단(500)이 설치된다.In addition, a portion of the frame 100 of the pig data acquisition device 10 in the image data taken from the photographing means 300 by the external analysis device 20 and the side bend data of the pig measured from the side bend measuring unit 400 Communication means 500 for transmitting the is installed.
도 2는 돼지 데이터 취득 장치(10)와 돼지 데이터 취득 장치(10)로부터 측정된 데이터를 분석하는 분석 장치(20)를 포함하는 돼지 부피 추정 시스템(1)의 내부 구성요소들을 나타내는 블록도이다. FIG. 2 is a block diagram showing the internal components of a pig volume estimation system 1 that includes a pig data acquisition device 10 and an analysis device 20 that analyzes data measured from the pig data acquisition device 10.
도 2에 도시된 바와 같이, 본 발명에 따른돼지 데이터 취득 장치(10)는 프레임(100) 내에 돼지의 유무를 검출하기 위한 물체감지수단(200), 돼지의 상측부를 촬영하기 위한 촬영수단(300), 돼지의 측면 굴곡을 측정하기 위한 굴곡부 측정수단(400), 외부의 분석장치로 정보를 전달하기 위한 통신수단(500) 및 전술한 바와 같은 물체감지수단(200), 촬영수단(300), 굴곡부측정수단(400) 및 통신수단(500)을 제어하기 위한 제어부(600)를 포함한다.As shown in Figure 2, the pig data acquisition apparatus 10 according to the present invention is the object detecting means 200 for detecting the presence of pigs in the frame 100, the photographing means 300 for photographing the upper side of the pig ), Bend measurement means 400 for measuring the side curve of the pig, communication means 500 for transmitting information to an external analysis device and the object detection means 200, photographing means 300, as described above, It includes a control unit 600 for controlling the bend measuring means 400 and the communication means 500.
물체감지수단(200)은 바람직하게 돼지 데이터 취득 장치(10)의 상측부(200)에 설치되어 돼지 데이터 취득 장치(10) 내에 돼지의 존재 여부를 검출하도록 구성된다. 물체감지수단(200)으로서 적외선 감지 센서 또는 초음파 감지 센서가 이용될 수 있다.The object detecting means 200 is preferably installed in the upper portion 200 of the pig data acquisition device 10 and configured to detect the presence or absence of a pig in the pig data acquisition device 10. As the object detecting means 200, an infrared sensor or an ultrasonic sensor may be used.
일례로 적외선 감지 센서는 일정 주파수의 빛을 발산하는 발광부와 발산하는 빛을 받아들이는 수광부로 구성되고, 발광부에서 발생된 적외선이 물체에 부딪혀 반사되고, 반사된 빛을 수광부에서 감지하여 물체의 유무와 거리등을 측정할 수 있다. 적외선 감지 센서를 이용하는 경우 통상적으로 30cm정도의 측정이 가능하다.For example, the infrared sensor includes a light emitter that emits light of a predetermined frequency and a light receiver that receives light, and the infrared light emitted from the light emitter is reflected by the object, and the reflected light is detected by the light receiver. The presence and distance can be measured. In case of using infrared sensor, it is possible to measure about 30cm.
다른 예로서, 초음파 감지 센서가 이용될 수도 있으며, 초음파 감지 센서는 초음파를 발신하고 수신하는 방식으로 송수신에 걸린 시간을 음파의 속도로 환산함으로써 물체의 유무와 거리를 측정할 수 있다. As another example, an ultrasonic sensor may be used, and the ultrasonic sensor may measure the presence and distance of an object by converting the time taken for transmission and reception into the speed of sound waves by transmitting and receiving ultrasonic waves.
한편 다른 예로서 돼지 데이터 취득 장치(10)의 하측부에 중량 감지 센서를 설치하고 돼지 데이터 취득 장치(10)의 하중이 변화되는 경우 돼지가 장치(10)의 내부에 존재하는 것으로 판단하도록 구성될 수도 있다. 이 경우 돼지의 부피와 함께 돼지의 중량도 측정할 수 있다는 이점이 더 얻어질 수가 있다.On the other hand, as another example, if the weight sensor is installed on the lower side of the pig data acquisition device 10 and the load of the pig data acquisition device 10 is to be configured to determine that the pig is present inside the device 10 It may be. In this case, the advantage that the weight of the pig can be measured together with the pig's volume can be further obtained.
물체감지수단(200)은 돼지 데이터 취득 장치(10) 내에 물체(돼지)가 존재하는 경우 이를 감지하고 그 결과를 제어부(600)로 송신한다. 제어부(600)는 부피 추정 장치(10)의 상측부에 설치된 촬영수단(300)을 구동하여 돼지의 전체 등판을 촬영한다.The object detecting means 200 detects the presence of an object (pig) in the pig data acquisition apparatus 10 and transmits the result to the controller 600. The controller 600 drives the photographing means 300 installed on the upper side of the volume estimating apparatus 10 to photograph the entire back of the pig.
바람직하게 촬영수단(300)는 CCD(Charge Coupled Device) 타입 또는 COMS(Complementary Metal-Oxide-Semiconductor) 타입의 고체촬상장치(solid-state image sensor)일 수 있으며, 이 촬영 수단(300)은 광학계(OPS)로부터의 광학 신호를 전기 신호로 변환하여 저장한다. 촬영 수단(300)은 촬영된 화상 데이터를 제어부(600)하에 통신 수단(500)으로 전달한다.Preferably, the photographing means 300 may be a solid-state image sensor of a Charge Coupled Device (CCD) type or a Complementary Metal-Oxide-Semiconductor (COMS) type, and the photographing means 300 may include an optical system ( OPS) converts the optical signal into an electrical signal and stores it. The photographing means 300 transmits the captured image data to the communication means 500 under the control unit 600.
굴곡부 측정 수단(400)은 돼지 데이터 취득 장치(10)의 측면 프레임(130)에 설치되어 어느 한 지점에서 돼지의 측면부 굴곡을 측정하도록 구성된다. 바람직하게 굴곡부 측정 수단(400)은 돼지 데이터 취득 장치(10)의 측면 프레임 상에서 길이방향(L)을 따라 이동가능하게 구성되어 원하는 어느 한 지점에서 돼지의 측면부 굴곡을 측정하도록 구성되는 것이 바람직하다.The bend measuring means 400 is installed on the side frame 130 of the pig data acquisition apparatus 10 and is configured to measure the side part curvature of the pig at any point. Preferably, the bend measuring means 400 is configured to be movable along the longitudinal direction L on the side frame of the pig data acquisition device 10 so as to be configured to measure the side lateral bending of the pig at any desired point.
굴곡부 측정 수단(400)은 레이저 라인 스캐너인 것이 바람직하다. 레이저 라인 스캐너는 레이저 스캐너부 및 상기 레이저 스캐너부를 돼지 데이터 취득 장치(10) 내에서 상부로부터 하부로 또는 하부로부터 상부로 회전시키는 회전수단를 포함하고; 굴곡부 측정 수단(400)은 회전 구동하여 측정된 돼지의 측면 굴곡 데이터를 제어부(600)하에 통신 수단(500)에 전달한다.The bend measurement means 400 is preferably a laser line scanner. The laser line scanner includes a laser scanner portion and rotating means for rotating the laser scanner portion from top to bottom or from bottom to top in the pig data acquisition apparatus 10; The bend measuring means 400 transmits the side bending data of the swine measured by rotation driving to the communication means 500 under the control unit 600.
통신 수단(500)은 촬영 수단(300)으로부터 전달 받은 촬영 데이터와 굴곡부 측정 수단(400)으로부터 전달 받은 굴곡부 측정 데이터를 외부의 분석 장치(20)로 송신하도록 구성된다. 통신 수단(500)은 유무선 LAN을 이용한 통신 모듈이거나, 또는 RS232, RS422, RS485를 이용한 직렬 통신 모듈일 수도 있으며, 본 발명은 이들 통신 수단의 예로 제한되는 것은 아니다.The communication means 500 is configured to transmit the photographing data received from the photographing means 300 and the bend measurement data received from the bend measuring means 400 to the external analysis device 20. The communication means 500 may be a communication module using a wired or wireless LAN or a serial communication module using RS232, RS422, or RS485, and the present invention is not limited to these communication means.
분석 장치(20)는 바람직하게 통신 수단(500)으로부터 전달된 촬영 데이터와 굴곡부 측정 데이터에 기반하여 돼지의 부피를 측정하도록 구성된다. 분석 장치(20)는 바람직하게 본 발명에 따라 돼지 부피를 측정하도록 계산을 수행하는 어플리케이션을 포함하는 개인용 퍼스널 컴퓨터일 수도 있으며, 네트워크에 연결된 서버 또는 전용의 하드웨어 장치로 이루어질 수 있다.The analysis device 20 is preferably configured to measure the volume of the pig based on the imaging data and the bend measurement data transmitted from the communication means 500. The analysis device 20 may preferably be a personal personal computer comprising an application for performing calculations to measure pig volume in accordance with the invention, and may consist of a server connected to a network or a dedicated hardware device.
전술한 바와 같이 돼지 데이터 취득 장치(10)는 제어부(600)의 제어하에서 물체 감지 수단(200)이 돼지 데이터 취득 장치(10) 내에 물체(돼지)의 존재 여부를 검출한다. As described above, the pig data acquisition apparatus 10 detects the presence or absence of an object (pig) in the pig data acquisition apparatus 10 by the object detecting means 200 under the control of the controller 600.
검출 결과, 돼지 데이터 취득 장치(10) 내에 돼지가 있는 것으로 판단되면 촬영 수단(300)이 먼저 돼지의 상측부(등판)를 촬영하고 이후 굴곡부 측정 수단(400)이 돼지의 측면부의 일지점에서 그 수직방향을 따른 굴곡 데이터를 측정한다. As a result of the detection, if it is determined that there is a pig in the pig data acquisition apparatus 10, the photographing means 300 first photographs the upper part (back) of the pig, and then the bend measuring means 400 is located at one point of the side of the pig. Measure the bending data along the vertical direction.
이어서, 제어부(600)는 다시 통신 수단(500)을 통해 전술한 촬영 데이터와 굴곡부 측정 데이터를 분석장치(20)로 송신함으로써 비교적 간단하게 돼지의 부피를 추정할 수 있는 데이터 수집이 완료된다. Subsequently, the control unit 600 transmits the above-described photographing data and the bend measurement data to the analyzing apparatus 20 through the communication means 500, thereby completing data collection for estimating the volume of the pig relatively simply.
이때 돼지 데이터 취득 장치(10)의 하부에 중량 센서와 같은 중량 측정 수단이 장착된 경우 중량 측정 수단으로부터 측정된 돼지의 중량 역시 통신수단(500)을 통해 분석 장치(20)로 더 전송하도록 구성될 수도 있다.In this case, when a weighing means such as a weight sensor is mounted on the lower portion of the pig data obtaining apparatus 10, the weight of the pig measured from the weighing means may be further transmitted to the analysis device 20 through the communication means 500. It may be.
이와 같은 돼지 데이터 취득 장치(10)에 따르면 돼지가 돼지 데이터 취득 장치(10) 내에 인입된 후 돼지의 무게나 부피를 측정하기 위해 줄자 등을 이용하여 미리 정해져 있는 부위를 측정하는 등의 별도의 프로세스가 필요하지 않기 때문에, 돼지 데이터 취득 장치(10) 내에 돼지가 머무는 시간이 단축되고 돼지가 스트레스를 받는 일이 최소화될 수 있다.According to such a pig data acquisition device 10, after the pig is introduced into the pig data acquisition device 10, a separate process such as measuring a predetermined portion by using a tape measure or the like to measure the weight or volume of the pig. Since is not necessary, the time the pig stays in the pig data acquisition device 10 can be shortened and the stress that the pig is stressed can be minimized.
다음으로 본 발명에 따른 분석 장치(20)에서 수행되는 돼지 부피 추정 동작에 대해 설명한다.Next, the pig volume estimation operation performed in the analysis device 20 according to the present invention will be described.
도 3은 본 발명의 돼지 부피 추정 장치(10) 및 분석 장치(20)를 포함하는 돼지 부피 추정 시스템(1)에서 모형 모델링 단계를 나타내는 도면이다. 도 3에 도시된 바와 같이 모형 모델링 단계에서는 먼저 (a)에 도시된 바와 같은 기준 모형 돼지(이하 모형돈이라고 함)를, 전술하여 설명한 바와 같은 돼지 데이터 취득 장치(10) 내에 수용시키고, 이어서 모형돈의 등판(길이) 데이터와, 모형돈의 측면의 복수의 지점에서 측정된 복수의 측면부에서의 굴곡 데이터를 취득하고, 측정된 데이터를 기준 데이터로서 분석 장치(20) 내에 저장한다. 3 is a diagram illustrating a model modeling step in the pig volume estimation system 1 including the pig volume estimation apparatus 10 and the analysis apparatus 20 of the present invention. In the model modeling step as shown in FIG. 3, first, the reference model pig (hereinafter referred to as model pig) as shown in (a) is accommodated in the pig data acquisition device 10 as described above, and then the model. The back data (length) of the money and the bending data in the plurality of side parts measured at a plurality of points on the side of the model money are acquired, and the measured data is stored in the analysis device 20 as reference data.
이때 돼지는 그 측면 위치에서 고유한 굴곡 표면을 갖기 때문에 돼지의 굴곡 데이터는 가급적이면 조밀한 간격으로 측정되고 저장되는 것이 정밀도 향상에 있어서 바람직하다.In this case, since the pig has a unique curved surface at its side position, it is preferable to improve the accuracy of the pig's bending data, if possible, measured and stored at close intervals.
분석 장치(20)는 모형돈의 측정된 길이 데이터와 측면 굴곡데이터를 이용하여 도 3의 (b)와 같은 3D 모델링 파일을 생성하고 기준 부피를 계산한다. The analysis device 20 generates a 3D modeling file as shown in FIG. 3B and calculates a reference volume using the measured length data and the side curve data of the model pig.
상면(등판)의 화상 데이터는 흑백 이진화를 통해 흑백 전환되고 흑백 전환된 화상 데이터의 돼지 부분만이 분리되고, 그에 따라 픽셀당 길이가 얻어질 수 있다. 또한 복수의 굴곡 데이터는 실측되는 돼지와의 비교를 통해 사용자에게 기준 지표를 제공하게 된다.The image data of the upper surface (back) is black and white converted through black and white binarization, and only the pig portion of the black and white converted image data is separated, so that the length per pixel can be obtained. In addition, the plurality of bending data may provide a reference indicator to the user through comparison with the measured pig.
도 3의 (b)는 전술한 바와 같이 얻어진 모형돈의 굴곡 데이터와 길이 데이터를 이용하여 3D 모델링된 모형돈의 3D 파일을 나타낸다.FIG. 3 (b) shows a 3D file of model pigs 3D modeled using the bending data and the length data of the model pigs obtained as described above.
전술한 바와 같이 모형돈의 3D 모델링 관련 데이터가 취득된 후 다음 단계에서 도 4에 도시된 바와 같이 실제 돼지의 부피관련 데이터가 측정된다. 도 4의 (a)는 돼지 데이터 취득 장치(10) 내의 촬영 수단(300)에 의해 촬영되고 통신 수단(500)을 통해 분석 장치(20)로 전송되어온 촬영 화상을 나타내는 도면이다.As described above, after the 3D modeling related data of the model pig is obtained, the volume related data of the actual pig is measured as shown in FIG. 4 in the next step. FIG. 4A is a diagram showing a photographed image photographed by the photographing means 300 in the pig data acquisition device 10 and transmitted to the analysis device 20 via the communication means 500.
분석 장치(20)는 촬영 화상을 수신한 후 이후 도 4의 (b)에 도시한 것 처럼 촬영 영상의 2진화를 통해 흑백 영상으로 전환하여 돼지에 해당하는 형상만을 분리한다. After receiving the captured image, the analysis device 20 converts the captured image into a black and white image through binarization of the captured image, and separates only the shape corresponding to the pig.
돼지의 형상이 분리된 후 분석 장치(20)는 도 4의 (c)에 도시된 것 처럼 돼지 형상 데이터로부터 가로방향에 따른 픽셀 수가 계산된다. 모형돈의 길이 데이터를 통해 픽셀당 길이가 계산될 수 있기 때문에, 실측되는 돼지의 2진 영상으로 부터 픽셀 수가 계산되고 그에 대응하여 돼지의 길이가 데이터 정확하게 얻어질 수 있다.After the pig shape is separated, the analysis device 20 calculates the number of pixels along the transverse direction from the pig shape data as shown in FIG. Since the length per pixel can be calculated from the length data of the model pigs, the number of pixels is calculated from the binary image of the pig being measured, and the length of the pig can be obtained data correspondingly accordingly.
도 5는 돼지 데이터 취득 장치(10) 내의 굴곡부 측정 수단(400)으로부터 측정된, 돼지의 임의의 측면 위치(p)에서 측정된 굴곡 데이터를 나타낸 도면이다. 도 5에 도시된 바와 같이 돼지 데이터 취득 장치(10)에서 실측된 돼지는 p 지점에서 도 5의 (b)와 같은 측면 굴곡 데이터를 가지고 있다.FIG. 5 is a diagram showing the bend data measured at any side position p of the pig, measured from the bend measuring means 400 in the pig data acquisition device 10. As shown in FIG. 5, the pig measured by the pig data acquisition device 10 has side bending data as shown in FIG. 5B at point p.
도 6의 (a) 및 (b)는 실측된 돼지에서의 측면 측정 지점 및 측면 굴곡 데이터를 나타낸 도면이고, (c) 및 (d)는 모형돈에서의 측면 측정 지점 및 측면 굴곡 데이터를 나타낸다.6 (a) and 6 (b) show lateral measurement points and lateral bending data in measured pigs, and (c) and (d) show lateral measurement points and lateral bending data in model pigs.
분석 장치(20)는 도 5의 (b) 또는 도 6의 (a) 및 (b)와 같이 취득된 측면 굴곡 데이터를 이용하여 분석 장치(20)에 저장된 모형돈의 측면 굴곡 데이터 프로파일과 비교를 수행한다. The analysis device 20 compares the lateral bending data profile of the model pig stored in the analysis device 20 using the lateral bending data obtained as shown in FIG. 5 (b) or 6 (a) and (b). Perform.
분석 장치(20)는 실측된 측면 굴곡 데이터(도 6의 (b))와 가장 유사한 굴곡 프로파일 데이터를 그 데이터베이스로부터 발견함으로써 실측된 돼지의 측면 굴곡 프로파일이 모형돈의 위치(p')에 대응하는 것을 알 수 있게 된다.The analyzing apparatus 20 finds the bending profile data most similar to the measured side flexion data (Fig. 6 (b)) from the database so that the measured side flexion profile of the pig corresponds to the position p 'of the model pig. You will find out.
분석 장치(20)는 모형돈의 길이 데이터와, 모형돈의 측면 위치 p'에서의 측면 굴곡 데이터를 이용하여, 실측정 돼지의 길이 데이터와 굴곡 데이터를 비교하고, 비교 결과에 따라서 증가 또는 감소된 길이 비율(x)과 굴곡 비율(y)을 계산한다.The analysis apparatus 20 compares the length data of the hog pigs with the length data of the hog pigs and the bending data using the side bend data at the lateral position p 'of the hog pigs, and increases or decreases according to the comparison result. Calculate the length ratio (x) and the bending ratio (y).
이후 분석 장치(20)는 계산된 길이 비율(x)과 굴곡 비율(y)을 도 3의 (b)에 도시한 바와 같은 모형돈의 3D 파일에 상사율(law of similitude)로서 적용하여 실측된 돼지에 대한 3D 모델을 생성하고 생성된 3D 모델에 대하 부피를 계산한다. After that, the analysis apparatus 20 applies the calculated length ratio x and the bending ratio y to the 3D file of the model money as shown in FIG. 3 (b) as a law of similitude. Create a 3D model for the pig and calculate the volume for the generated 3D model.
예를 들면 실측된 길이가 모형돈의 길에 대해 +1.13배이고 굴곡 비율이 +1.37배인 경우, 모형돈의 3D 모델에 대해 길이를 1.13배 곱하고 측면 굴곡을 1.37배 하여 확장하여 새로운 3D 모델을 생성하고 그 부피를 계산할 수 있게 된다. For example, if the measured length is +1.13 times the model pig's length and the bend ratio is +1.37 times, the new 3D model is extended by multiplying the length by 1.13 times and lateral bending by 1.37 times the 3D model of the model pig. The volume can be calculated.
또한 도 1에서 돼지 데이터 취득 장치(10)의 하부에 중량측정수단(미도시) 제공된 경우, 분석 장치(20)는 중량측정수단으로부터 수신되는 실측 돼지의 중량과, 전술하여 계산된 부피를 이용하여 돼지의 단위 면적당 중량(중량/부피)까지도 계산할 수 있게 된다.In addition, when a weighing means (not shown) is provided in the lower portion of the pig data acquisition device 10 in FIG. 1, the analysis device 20 uses the weight of the measured pig received from the weighing means and the volume calculated above. Even the weight per unit area (weight / volume) of pigs can be calculated.
도 7은 본 발명에 따른 분석 장치(20)에서의 돼지 부피 추정을 위한 흐름을 나타내는 흐름도이다.7 is a flow chart showing the flow for swine volume estimation in the analysis device 20 according to the present invention.
도 7에 도시한 바와 같이, 먼저 단계 S110에서 모형돈의 길이 데이터 및 측면 굴곡 데이터가 수집된다. 모형돈의 길이 데이터는 돼지 데이터 취득 장치(10)의 촬영수단(300)으로부터 취득된 영상을 2진화하고 모형돈에 해당하는 영상 부분의 픽셀을 계산함으로써 모형돈의 길이와 함게 픽셀당 길이가 얻어질 수 있다. As shown in Fig. 7, first, in step S110, length data and lateral bending data of the model pig are collected. The length data of the model pigs is obtained by binarizing the image acquired from the photographing means 300 of the pig data acquisition device 10 and calculating the pixels of the image portion corresponding to the model pigs to obtain the length per pixel together with the length of the model pigs. Can lose.
또한 모형돈의 굴곡 데이터는 모형돈의 복수의 측면 위치에서 레이저 라인 스캐너와 같은 굴곡부 측정 수단을 통해 얻어질 수 있다. 취득된 모형돈의 길이 데이터, 픽셀당 길이 정보, 및 굴곡 데이터는 모두 부피 추정을 위한 기준 데이터로서 분석 장치(20)에 저장된다.Also, the bend data of the model money can be obtained through a bend measuring means such as a laser line scanner at a plurality of lateral positions of the model money. The acquired length data, length information per pixel, and bending data are all stored in the analysis device 20 as reference data for volume estimation.
이어서 단계 S111에서 분석 장치(20)는 모형돈의 길이 데이터와 측면 굴곡 데이터를 이용하여 3D 모델링 파일을 작성한다. Next, in step S111, the analysis device 20 creates a 3D modeling file using the length data of the model pig and the lateral bending data.
이와 같이 모형돈의 3D 모델링 파일이 생성된 뒤, 단계 S112에서 돼지 데이터 취득 장치(10)로부터 실측되는 돼지에 대한 상부(등판) 화상 데이터가 수신되고 이어진 단계 S113에서는 실측되는 돼지의 측면 한 지점에서의 측면 굴곡 데이터가 분석 장치(20)에 수신된다.After the 3D modeling file of the model pig is generated in this way, in step S112, the upper (back) image data of the pig that is measured from the pig data acquisition device 10 is received, and in a subsequent step S113, at one point of the side of the pig that is measured Lateral bending data of is received by the analysis device 20.
분석 장치(20)는 단계 S114에서 먼저 단계 S112에서 수신된 돼지에 대한 등판 화상의 2진화 및 픽셀 계산을 통해서 실측 돼지의 길이를 계산한다. 분석 장치(20)는 이어서 단계 S115에서 실측되는 돼지의 측면 굴곡 데이터를 데이터베이스에 저장된 모형돈의 측면 굴곡 데이터와 비교한다. The analyzing apparatus 20 calculates the measured pig length through binarization and pixel calculation of the climbing image for the pig received in step S112 first in step S114. The analyzing apparatus 20 then compares the pig's side flexion data measured in step S115 with the model pig's side flexion data stored in the database.
분석 장치(20)는 단계 S116에서 전술한 바와 같은 측면 굴곡 데이터들의 비교를 통해 실측된 돼지의 측면 위치에 대응하는 모형돈 상의 위치를 결정하고, 단계 117에서 분석 장치(20)는 모형돈에서의 길이 데이터와 실측된 돼지에서의 길이 데이터를 비교하는 동시에, 모형돈에서의 대응하는 위치에서의 굴곡 데이터와 실측된 돼지에서의 굴곡 데이터를 비교하여, 길이 비율과 굴곡 비율을 계산한다.The analyzing apparatus 20 determines the position on the model pig corresponding to the lateral position of the measured pig by comparing the side flexion data as described above in step S116, and in step 117 the analyzing apparatus 20 performs The length ratio and the bending ratio are calculated by comparing the length data with the length data in the measured pig, while comparing the bending data at the corresponding position in the piglet with the bending data in the measured pig.
이어서 단계 S118에서 분석 장치(20)는 게산된 길이 비율과 굴곡 비율을 모형돈의 3D 모델링 파일에 적용함으로써 단계 S119에서와 같이 실측된 돼지에 대한 3D 모델링 파일을 생성한다.In step S118, the analyzing apparatus 20 generates the 3D modeling file for the measured pig as in step S119 by applying the calculated length ratio and the bending ratio to the 3D modeling file of the model pig.
마지막으로 단계 S120에서 분석 장치(20)는 새롭게 생성된 실측된 돼지에 대한 3D 모델링 파일을 이용하여 실측된 돼지에 대한 부피를 계산하게 된다.Finally, in step S120, the analysis apparatus 20 calculates the volume for the measured pig using the newly generated 3D modeling file for the measured pig.
추가적으로 돼지 데이터 취득 장치(10)로부터 중량 데이터가 수신되는 경우 분석 장치(20)는 단계 S120에서 계산된 부피와 수신된 중량 데이터를 이용하여 돼지의 단위 부피당 무게(또는 밀도)를 계산하는 단계를 더 포함할 수도 있다.Additionally, when weight data is received from the pig data acquisition device 10, the analysis device 20 further calculates the weight (or density) per unit volume of the pig using the volume calculated in step S120 and the received weight data. It may also include.
이상의 설명은 본 발명의 기술 사상을 예시적으로 설명한 것에 불과한 것으로, 본 발명이 속하는 기술분야에서 통상의 지식을 갖는 자라면 본 발명의 본질적인 특성에서 벗어나지 않는 범위에서 다양한 수정 및 변형이 가능할 것이다. 따라서, 본 발명에 게시된 실시예는 본 발명의 기술 사상을 한정하기 위한 것이 아닌 설명을 위한 것이고, 이런 실시예에 의하여 본 발명의 기술 사상의 범위가 한정되는 것은 아니다. The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and changes without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not for limiting the technical spirit of the present invention but for the description, and the scope of the technical idea of the present invention is not limited by these embodiments.
따라서 본 발명의 보호 범위는 전술한 실시예에 의해 제한되기 보다는 아래의 청구범위에 의하여 해석되어야하며, 그와 동등한 범위 내에 있는 모든 기술 사상은 본 발명의 권리범위에 포함되는 것으로 해석되어야 할 것이다.Therefore, the protection scope of the present invention should be construed by the claims below, rather than being limited by the above-described embodiment, and all technical ideas within the equivalent scope will be construed as being included in the scope of the present invention.
*도면에 대한 부호의 설명** Description of Symbols for Drawings *
1: 돼지 부피 추정 시스템1: pig volume estimation system
10: 돼지 데이터 취득 장치10: pig data acquisition device
20: 분석 장치20: analysis device
100: 돼지 데이터 취득 장치의 프레임100: frame of the pig data acquisition device
110: 입구110: entrance
120: 출구120: exit
130: 돼지 데이터 취득 장치의 측면부130: side portion of the pig data acquisition device
140: 돼지 데이터 취득 장치의 상면부140: upper surface of the pig data acquisition device
200: 물체검출수단200: object detection means
300: 촬상수단300: imaging means

Claims (9)

  1. 내부에 수용된 돼지의 치수 및 측면 굴곡을 측정하기 위한 돼지 데이터 취득 장치; 및A pig data acquisition device for measuring dimensions and lateral curvatures of pigs housed therein; And
    상기 돼지 데이터 취득 장치와 통신가능하도록 결합되고, 모형돈에 대한 등 길이 데이터, 모형돈의 측면의 복수 지점에서 측정된 복수의 굴곡 데이터, 길이 데이터와 복수의 굴곡 데이터를 이용하여 형성된 3D 모델링 파일을 저장한 분석 장치를 포함하고,A 3D modeling file coupled to communicate with the pig data acquisition device and formed using back length data for the model pig, a plurality of flex data measured at a plurality of points on the side of the model pig, length data and a plurality of flex data Includes a saved analysis device,
    상기 돼지 데이터 취득 장치는, The pig data acquisition device,
    돼지 데이터 취득 장치 내에 수용된 돼지의 등 화상과 측면에서의 하나의 측면 굴곡 데이터를 수집하여 분석 장치로 전송하도록 구성되고,And collect one side flexion data in the back image and the side of the pig housed in the pig data acquisition device and transmit it to the analysis device,
    분석 장치는 상기 돼지 데이터 취득 장치로부터 전송된 등 화상과 측면 굴곡 데이터를 이용하여 돼지의 부피를 추정하도록 동작하는 것을 특징으로 하는The analyzing apparatus is operable to estimate the volume of the pig by using the back image and the lateral bending data transmitted from the pig data obtaining apparatus.
    돼지 부피 측정 시스템.Pig volumetric system.
  2. 제1항에 있어서,The method of claim 1,
    상기 돼지 데이터 취득 장치는,The pig data acquisition device,
    돼지가 수용되는 본체 프레임;A body frame in which the pig is accommodated;
    본체 프레임의 상측부에 설치되어 본체 프레임 내의 돼지의 유무를 감지하기 위한 물체감지수단; An object detecting means installed at an upper side of the main body frame to detect the presence of a pig in the main body frame;
    본체 프레임의 상측부에 설치되어 돼지의 전체 등부위를 촬영하기 위한 촬영 수단; 및 Photographing means provided for photographing the entire back portion of the pig, which is provided at an upper side of the main body frame; And
    본체 프레임의 측면부에 설치되어 수용된 돼지의 측면부의 어느 한 지점에서 수직방향을 따른 돼지의 측면 굴곡을 측정하기 위한 굴곡부 측정수단;Bend measurement means for measuring side curvature of the pig along the vertical direction at any point of the side of the pig house, which is installed on the side of the main frame;
    을 포함하는 것을 특징으로 하는 돼지 부피 측정 시스템.Pig volumetric system comprising a.
  3. 제2항에 있어서,The method of claim 2,
    상기 분석 장치는 The analysis device
    상기 돼지 데이터 취득 장치로부터 전송되어 온 돼지의 등 화상 데이터를 이진화하여 이진화 영상으로 전환하고, 이진화 영상에 기반해서 돼지의 등 화상의 픽셀 수를 계산하여 돼지의 등 길이를 측정하도록 동작하는 돼지 부피 측정 시스템.Pig volume measurement operable to binarize the pig's back image data transmitted from the pig data acquisition device and convert it to a binarized image and calculate the number of pixels of the pig's back image based on the binarized image to measure the pig's back length system.
  4. 제3항에 있어서,The method of claim 3,
    상기 분석 장치는 The analysis device
    상기 돼지 데이터 취득 장치로부터 전송되어 온 돼지의 측면 굴곡 데이터를, 분석 장치에 저장되어 있는 모형돈의 복수의 측면 굴곡 데이터와 비교하고, 돼지의 실제 측정된 측면 굴곡 데이터와 유사한 모형돈의 측면 굴곡 데이터를 검색하도록 동작하는 돼지 부피 측정 시스템.The side bend data of the pigs transmitted from the pig data acquisition device is compared with the plurality of side bend data of the model pigs stored in the analysis device, and the side bend data of the model pigs is similar to the actual measured side bend data of the pigs. Pig volumetric system operative to search.
  5. 제4항에 있어서,The method of claim 4, wherein
    상기 분석 장치는 The analysis device
    상기 검색된 모형돈의 측면 굴곡 데이터의 촬영 위치에 기반하여 실제 측정된 돼지의 측면 굴곡 데이터가 촬영된 돼지의 측면 위치를 결정하도록 동작하는 돼지 부피 측정 시스템.And a pig volume measuring system operative to determine the side position of the pig from which the actual measured side flexion data of the pig is photographed based on the retrieved position of the lateral flexion data of the model pig.
  6. 제5항에 있어서,The method of claim 5,
    상기 분석 장치는The analysis device
    실제 측정된 돼지의 길이와 모형돈의 길이 사이의 길이 비율과, 실제 측정된 돼지의 측면 굴곡과 모형돈의 대응하는 측면 굴곡 사이의 굴곡 비율을 계산하고, 계산된 길이 비율과 굴곡 비율을 상사율로서 모형돈의 3D 모델링 파일에 적용하여 실제 측정된 돼지에 대한 3D 모델링 파일을 생성하도록 동작하는 돼지 부피 측정 시스템.Calculate the ratio of the length between the actual measured pig length and the length of the hog, and the flexural ratio between the actual measured pig side bend and the corresponding side bend of the hog pig. And a pig volumetric system operative to generate a 3D modeling file for the actual measured pig by applying it to the modeled 3D modeling file.
  7. 제6항에 있어서,The method of claim 6,
    상기 분석 장치는,The analysis device,
    실제 측정된 돼지에 대해 생성된 3D 모델링 파일에 기반하여 실제 측정된 돼지에 대한 부피를 추정하도록 동작하는 돼지 부피 측정 시스템.Pig volumetric system operative to estimate the volume for actual measured pigs based on the 3D modeling file generated for the actual measured pigs.
  8. 제7항에 있어서,The method of claim 7, wherein
    상기 돼지 데이터 취득 장치는, 본체 프레임의 하측부에 설치되어 본체 프레임 내의 돼지의 중량을 측정하기 위한 중량 측정 수단을 더 포함하고, The pig data acquiring device further includes weight measuring means which is provided at a lower side of the main body frame to measure the weight of the pig in the main body frame,
    상기 분석 장치는, 상기 돼지 데이터 취득 장치의 중량 측정 수단으로부터 측정된 중량을 더 수신하고,The analysis device further receives the weight measured from the weighing means of the pig data acquisition device,
    상기 추정된 부피와 상기 중량에 기반하여 측정된 돼지의 단위 면적당 중량을 더 계산하도록 동작하는 부피 측정 시스템.A volumetric system operative to further calculate weight per unit area of pig measured based on the estimated volume and the weight.
  9. 모형돈의 길이 데이터 및 모형돈의 측면부의 복수의 위치에서 복수의 측면 굴곡 데이터를 수집하고 저장하는 단계;Collecting and storing the length data of the model money and the plurality of side bending data at a plurality of positions at the side portions of the model money;
    모형돈의 길이 데이터와 복수의 측면 굴곡 데이터를 이용하여 모형돈에 대한 3D 모델링 파일을 생성하는 단계;Generating a 3D modeling file for the model pig using the length data of the model pig and the plurality of lateral bending data;
    실측 돼지로부터 등 화상 데이터와, 실측 돼지의 측면 한 지점에서의 측면 굴곡 데이터를 수신하는 단계;Receiving back image data and lateral bending data at a point on the side of the measured pig from the measured pig;
    등 화상 데이터를 이진화하여 돼지의 길이를 계산하는 단계;Calculating the length of the pig by binarizing the image data;
    돼지의 측면 한 지점에서의 측면 굴곡 데이터를 저장된 복수의 측면 굴곡 데이터와 비교하는 단계;Comparing the side flexion data at a point on the side of the pig with a plurality of stored side flexure data;
    복수의 측면 굴곡 데이터와 비교하여 가장 근사한 모형돈의 측면 굴곡 데이터를 산정하고 모형돈 상에서 대응 위치를 결정하는 단계;Calculating lateral flexion data of the closest model piglet compared to the plurality of lateral flexure data and determining a corresponding position on the model pig;
    모형돈과 실측 돼지의 등 길이 비율과 측면 굴곡 비율을 계산하는 단계;Calculating the back length ratio and the lateral flexion ratio of the model pig and the measured pig;
    계산된 등 길이 비율과 측면 굴곡 비율을 모형돈의 3D 모델링 파일에 인가하는 단계;Applying the calculated back length ratio and lateral bending ratio to the 3D modeling file of the model pig;
    실측된 돼지에 대한 3D 모델링 파일을 생성하는 단계;Generating a 3D modeling file for the measured pig;
    생성된 실측 돼지에 대한 3D 모델링 파일에 기반하여 돼지의 부피를 추정하는 단계Estimating pig volume based on the generated 3D modeling file for the pig
    를 포함하는 것을 특징으로 하는 돼지 부피 추정 방법.Pig volume estimation method comprising a.
PCT/KR2016/012912 2016-11-10 2016-11-10 Pig volume estimation system and method therefor WO2018088582A1 (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109443229A (en) * 2018-11-20 2019-03-08 山西宏安翔科技股份有限公司 A kind of roadway deformation online data monitoring device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000011936A1 (en) * 1998-08-31 2000-03-09 Alfa Laval Agri Ab An improved apparatus and method for monitoring an animal related volume
US20050136819A1 (en) * 2002-08-02 2005-06-23 Kriesel Marshall S. Apparatus and methods for the volumetric and dimensional measurement of livestock
KR20120000071A (en) * 2009-02-27 2012-01-03 보디 설피스 트랜스레이션 인크. Estimating physical parameteres using three dimensional representations
KR20130083416A (en) * 2013-06-11 2013-07-22 백지현 Volumetric medical scales available for
US20160295838A1 (en) * 2013-12-12 2016-10-13 Lely Patent N.V. Method and device to monitor growth of an animal, in particular a calf

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101128908B1 (en) 2009-09-30 2012-06-27 대한민국 Equipment for selecting finishing pigs for market base on body weight

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000011936A1 (en) * 1998-08-31 2000-03-09 Alfa Laval Agri Ab An improved apparatus and method for monitoring an animal related volume
US20050136819A1 (en) * 2002-08-02 2005-06-23 Kriesel Marshall S. Apparatus and methods for the volumetric and dimensional measurement of livestock
KR20120000071A (en) * 2009-02-27 2012-01-03 보디 설피스 트랜스레이션 인크. Estimating physical parameteres using three dimensional representations
KR20130083416A (en) * 2013-06-11 2013-07-22 백지현 Volumetric medical scales available for
US20160295838A1 (en) * 2013-12-12 2016-10-13 Lely Patent N.V. Method and device to monitor growth of an animal, in particular a calf

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109443229A (en) * 2018-11-20 2019-03-08 山西宏安翔科技股份有限公司 A kind of roadway deformation online data monitoring device

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