Affiliations: [a] School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, China | [b] Postdoctoral Research Workstation, Huangshi Dongbei Electrical Appliance Co., Ltd., Huangshi, Hubei 435000, China | [c] School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China | [d] Hubei Key Laboratory of Intelligent Conveying Technology and Device, Huangshi, Hubei 435003, China
Correspondence:
[*]
Corresponding author: Xiaoyan Wu, School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, China. E-mail: perc_wxy@126.com.
Abstract: Film shovel is the key device for mechanized operation of residual film recovery, in which the depth of soil breakage of the shovel is related to the degree of damage to the plastic film and the recovery efficiency of the residual film. However, the current mode of operation requires experience and visual inspection, which often leads to low level of mechanization and inefficient operation. The topic is to improve the existing residual film recovery device, focusing on the three-dimensional modeling and monitoring system of intelligent film lifting shovel. By optimizing the three-dimensional structure of the intelligent film-lifting shovel and kinematics simulation analysis based on Adams software, the design inclination angle of the loosening shovel is 60∘, and the breaking depth of the safe operation is 20–50 mm. Then through the use of Ethernet interface based on EtherCAT bus and the real-time bidirectional communication between BECKHOFF CX2030 controller and module and HMI, the on-line data transmission in the process of intelligent film shovel operation is realized. Field test results verify that the intelligent film-lifting shovel is feasible in the intelligent operation and recovery efficiency of the residual film recovery operation, which can greatly improve the efficiency of the whole machine operation.
Keywords: Residual film recovery, filmlifting shovel, 3-D modeling, iintelligence, monitoring
