Design And Research Of Automatic Inventory Robot For Ship Spare Parts Library

Nowadays,with the continuous improvement of the international shipping business volume,the ship transportation industry has been highly valued.The inventory of ship spare parts is a very large expenditure.At present,the inventory of spare parts inventory is mainly done manually,and the degree of automation is very low.In addition,because the spare parts library is small in space,manual inventory is very inconvenient,so the more efficient inventory method is the goal pursued by developers.Firstly,this thesis analyzes and studies the principles and characteristics of AGV robots and path planning,and determines the overall design scheme adopted in this paper.The hardware design of the inventory robot is mainly divided into two parts: the chassis module and the lifting rod module.The chassis module is divided into main control module,communication module,wheel drive module,power module and display module.The main control module mainly controls the other modules through serial communication.After the hardware design is completed,the corresponding control software is developed to ensure the normal operation of the project.In order to facilitate the inventory and management of spare parts in the library,this paper selects Python3.6 as the development platform,and develops the application program of the QR code of the item information of the library.The generated QR code picture has good robustness.Finally,an improved ant colony algorithm is proposed for the problem of path planning real-time and poor stability in the process of inventorying robots.The improved ant colony algorithm includes three-point optimization: The first is to propose an adaptive volatilization coefficient setting method to improve the convergence speed of the algorithm.The second is to adjust the initial concentration on each path to increase the pheromone concentration near the start and end links.The third is to enhance the pheromone concentration on the shorter path and to reduce the concentration of pheromone on the longer path when the global pheromone is updated.The project finally designed and developed a set of robot hardware and control software for the inventory robot.In addition,the traditional ant colony algorithm is optimized.The simulation experiment proves that the improved algorithm has a faster convergence speed on the traveling salesman problem and can get the global optimal route.