Design And Simulation Of Intelligent Bamboo Harvester

China is the country with the richest bamboo resources and a major producer of bamboo materials and bamboo products.The bamboo and bamboo products industry plays an important role in the national economy.With the development of the economy,the demand for bamboo products in society is gradually increasing.Traditional bamboo cutting mainly involves manual bamboo cutting,which not only poses significant safety hazards,but also has low efficiency and low level of mechanization and intelligence,which limits the development of the bamboo product industry.In response to this situation,a bamboo forest intelligent harvesting machine is designed to achieve intelligent harvesting of bamboo forests and improve the efficiency of bamboo harvesting.A complete modeling of the bamboo cutting machine was conducted to meet the requirements for bamboo cutting.A quasi static force model of the chassis suspension mechanism was established based on the function and structure of the bamboo cutting machine chassis.Visualization of suspension models was achieved through Open CV.The maximum force on the suspension link and contact surface is taken as the optimization fitness function,and the relative position of the connecting hinge between the two links and the chassis support is taken as the optimization parameter.The suspension structure optimization is realized through the algorithm.The suspension structure is optimized through the algorithm.Based on the optimization results,a Solid Works model for suspension was established.Simulations were conducted in Adams software to verify the optimization results.Then the finite element simulation and topology optimization of the suspension link are carried out,and the finite element simulation of the suspension bracket and chassis bracket is carried out.A threedimensional model of the bamboo cutting machine’s robotic arm has been established.We designed a bamboo cutting reciprocating saw and its balance mechanism,simulated and verified the effect of the balance mechanism in Adams software,and conducted finite element simulation on key components of the reciprocating saw.This paper designed a bamboo cutting power system and control system scheme,analyzed the development board of the lower computer,the circuit of the brushless motor drive board,and the control principles of the brushless motor and stepper motor.This paper have conducted research on algorithms related to object detection,semantic segmentation,and binocular ranging.An analysis was conducted on the bamboo forest logging map,which was divided into obstacle free artificial forests and obstacle free natural forests.In artificial forests,genetic algorithms are used to sort the movement order of bamboo clusters and generate bamboo cutting paths within the clusters.In natural forests with obstacles,genetic algorithms are used to generate the order of bamboo clump movement,and then ant colony algorithm is used to generate obstacle avoidance paths between bamboo clumps.The crossover strategy of genetic algorithm has been improved by introducing multiple population evolution strategies to improve the performance of genetic algorithm.The soldier ant strategy introduces ant colony algorithm,which makes it converge faster and obtain better paths.Finally,the improved ant colony algorithm is used to generate the fitness map,and the fitness map is introduced into the genetic algorithm to make the bamboo cluster movement order obtained by the genetic algorithm more optimal.stepper motor control principles,and study the relevant algorithms for object detection,semantic segmentation,and binocular ranging.Analyze the bamboo forest logging map and divide it into artificial forests without obstacles and natural forests with obstacles.In artificial forests,genetic algorithms are used to sort the movement order of bamboo clusters and generate bamboo cutting paths within the clusters.In natural forests with obstacles,genetic algorithm is used to generate the order of bamboo clump movement,and ant colony algorithm is used to generate obstacle avoidance paths between bamboo clumps.Improve the crossover strategy of genetic algorithm,introduce multiple population evolution strategies,and improve the performance of genetic algorithm.Introducing the soldier ant strategy into the ant colony algorithm results in faster convergence and better paths.Finally,the improved ant colony algorithm is used to generate the fitness map,and the fitness map is introduced into the genetic algorithm to make the bamboo cluster movement order obtained by the genetic algorithm more optimal.Finally,a bamboo forest intelligent logging machine was designed using algorithms to optimize the suspension structure of the track chassis,reducing the impact vibration of the chassis when encountering obstacles.Designed a balance mechanism for the robotic arm reciprocating saw,effectively balancing the reciprocating inertia force.The intelligent bamboo cutting of the bamboo cutting machine was achieved using genetic and ant colony algorithm.Through simulation,it was shown that the improved genetic and ant colony algorithm can significantly reduce the movement path of the bamboo cutting machine.