大葱根叶智能切除机的设计与试验OA

In view of the low mechanization degree and strong reliance on manual operation in the roots and leaves cutting for green onions in the actual production,an intelligent root and leaf cutting machine for green onions was designed.Based on the structural characteristics and physical and chemical characteristics of green onion as the theoretical basis,the mechanical structure and hardware platform of the cutting device were designed by programmable logic controller(PLC)to realize human-computer interaction.Machine vision(MV)technology was used to acquire and process the images of the green onion roots and leaves,and the features of the images were extracted.The online monitoring and identification of the green onion cutting prototype were realized,and the intelligent twice cutting of the roots and leaves was completed.The positioning test showed that the average error of the distance from the cutting line of the green onion leaf to incision was about 0.3 mm,and the average error of the green onion root was about 0.6 mm.The smoothness of the whole ma-chine operation,the quality of the cutting notch,the error of the cutting processing and the cutting efficiency were verified through the test.The cutting test proved that the cutting damage rate was only 1.49%,the mis-cutting rate was only 4.92%,the cutting efficiency reached 197.87 kg/h.The designed prototype had a visual system with high recognition ac-curacy and could achieve precise and efficient cutting for the green onion roots and leaves.The host operation interface was friendly and easy to operate.This work provided theoretical basis and practical reference for the intelligent cutting equipment design of vegetables,and provided method guidance for the application research of MV in agricultural proces-sing equipment.