Study On Key Techniques Of Automatic Drilling For Scallop Culturing By Ear-hanging

Patinopecten yessoensis is a fine kind of scallop due to its big size and rich nutrition. Conventional scallop culture method of bottom-seed always causes seabed ecology damage, hard collection and lead to low production per unit area.It is a developing orientation to introducing advanced ear-hanging culture technology. Ear-hanging culture need to drill hole on left-shell in order to reeve. Because of the material and machining position of the hole, the shell always breaks when drilling. The existing scallop supply which uses the manual supply can not satisfy automatically process. The paper presents key technologies of automatic drilling that how to supply scallop automatically and how to improve the quality of drilling hole.The mathematical model of scallop geometric feature is built. The length of scallop is detected by computer vision system in order to realize grading for scallop auto-supply. The calculations between projected area and shell length of scallop are obtained by statistical analysis on proportion relation of scallop geometric feature. The obtained images of the scallop are processed with image segmentation, dilation and erosion, and then characteristic numbers of the scallop are obtained. The shell length is identified by the calculation between projected area and shell length of scallop. The new method is feasible to grade with fairly high efficiency and accuracy to meet grading demands, and is nothing with the position of scallop. Scallops do not contact with the camera in the course of grading, therefore, vibration and impact damages are eliminated.A novel method to realize orientation of left shell is presents by using the different radius of curvature of left-right shells. The shell's orientation of scallop is identified by computer vision technology. The principle of left shell to be upward is analyzed when scallop is dropped into water. Experiments show the influences of angle, speed, motion distance and time, and provide basis for the design of orientation device. This method could avoid destroying scallop due to vibration and bump, and decrease the influence on growth of scallop when processing in the air. Enhanced random Hough-transform is advanced by obtaining geometric parameters of scallop. The detecting speed is enhanced. The measuring method of ear orientation could satisfy requirement of automatically process.