• Journal of Biosystems Engineering
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• v.26 no.2
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• pp.163-168
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• 2001

A manipulator for test-cup attachment modules, which was a part of a robot milking system, was developed to reduce cost and labor for cow milking processing. A Cartesian coordinate manipulator was designed for the milking process, because it was quite flexible and can be constructed more economically than any other configuration. The manipulator was made use of DC motors, screws for power transmission, a RS422 interface system for the transmission of coordinate values and a one-chip microprocessor, 89C52. Performance tests of the manipulator were conducted to measure experimentally the precision of all axes. Some of the results are as follows. 1. The Cartesian coordinate manipulator was designed and built. Dimension of the three perpendicular axes (X, Y, and Z) and one arm’s axis(W) to pick up and transfer the modules were 700㎜$\times$450㎜$\times$550㎜$\times$650㎜. The arm’s axis moved the teat-cup attachment module, which attached four teat-cup to four teats, detached four teat-cup from four teats, was designed and manufactured by using CAD, CAM and CNC. 3. After 10 replications of exercising the manipulator, mean precision values(positioning error) of X, Y, Z axes wee 0.48㎜, 0.20㎜, 0.19㎜, respectively. Therefore, we conclude the axes to have a precision better than 0.5㎜, had no problem to operate correctly the milking manipulator.

• Journal of Animal Environmental Science
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• v.17 no.2
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• pp.93-100
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• 2011

This study was conducted to verify the applicability of robot milking system through acquisition and analysis of model teat's position information using scanning range finder (SRF). Model teats, same size and shape as real teats, were designed to analyze the properties according to the material, distance error and angle error of the sensor. In addition, 2-dimensional distance information of each teats was obtained at same time with 4 teat models and the result were as follows. 1. In the case of the fingers on the experiment for selection of materials for teat model, the distance error was from 4.3 mm to 1.3 mm, average was 2.8 mm as a minimum record. In the case of rubber material, average distance error was 4.3 mm. So, this material was considered to be a most suitable model. 2. The distance error was maximum at 100 mm distance. The more distance increased, the less error increased up to 300 mm. Then the error increased after 300 mm and decreased again. 3. The maximum angle error of 10.1 mm was measured at $170^{\circ}$, in case of $70^{\circ}$ the error was 0.2 mm as a minimum value. There was no specific tendency to error of angle. 4. In the 2-dimensional location error for 4 teat models, distance error was 3.8 mm as minimum and 7.2 mm as maximum. The angle error was $1.2^{\circ}$ as maximum. All of errors were included within the accuracy of sensor, the robot milking system was considered to be applicable to measure the distance of teats due to the measuring velocity of SRF and the hole size of teat-cup.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.02a
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• pp.151-157
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• 2003

우리의 축산업은 노동력의 감소와 노령화에 따른 일손 부족, WTO체제에 따른 시장 개방으로 어려움을 겪고 있으며, 앞으로도 계속될 전망이다. 이런 여건을 극복하기 위해서는 생산성 향상 및 생산비 절감과 품질 향상을 통한 국제경쟁력을 갖추어야 한다. 현재 낙농은 낙농가의 감소와 호당 사육두수가 크게 증가하고 있는 실정이다. 이로 인해 경영의 전업화가 가속되고 있으며, 노동력 부족이라는 문제를 앉고 있다 이를 해결하기 위해서는 기자제의 자동화와 기계화가 시급한 실정이다. (중략)

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.07a
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• pp.286-291
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• 2002

우리의 축산업은 노동력의 감소와 노령화에 따른 일손 부족, WTO체제에 따른 시장 개방으로 어려움을 겪고 있으며, 앞으로도 계속될 전망이다 이런 여건을 극복하기 위해서는 생산성 향상 및 생산비 절감과 품질 향상을 통한 국제경쟁력을 갖추어야 한다. 현재 낙농은 낙농가의 감소와 호당 사육두수가 크게 증가하고 있는 실정이다. 이로 인해 경영의 전업화가 가속되고 있으며, 노동력 부족이라는 문제를 앉고 있다. 이를 해결하기 위해서는 기자제의 자동화와 기계화가 시급한 실정이다. (중략)

• Journal of Biosystems Engineering
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• v.30 no.5 s.112
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• pp.299-305
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• 2005

This study was developed image processing algorithm for recognition of few teats of a cow in the image using black and white camera attached with infrared filter. Spectroscopic analysis was used for selection of a NIR filter to separate teats from udder skin in the image captured. To verify the performance of image processing algorithm was developed and NIR filter was selected, carried out an experiment with cows. NIR band-pass filter was used to pass the 975nm band of light spectrum. The image processing algorithm was developed could recognize all teats and the process time was 0.9 second to recognize the all teats and to acquire end position of teats.