Simulation and practice of the intelligent garbage sorting system

 

HUANG Lun, LIU Pei, TAN Tao

(Department of Mechanical Engineering, Shanxi University of Technology, Hanzhong 723001, China)

 

Abstract: Aiming at the problems caused by the increasing number of MSW, such as the environmental pollution and the waste of resources, in the nowadays world, separation collection and disposal of garbage were researched in our country and other developed countries, such as Europe and the United States, et al, and categories, safe disposal and recycling of the municipal solid waste disposal process in the developed countries were concluded. A series of automatic garbage sorting models were designed including the recognition of the dustbins′ colors and routes, actions of manipulators and to specify the location, combined with the problems and the insufficiency of garbage classification process at home and abroad. With the help of software called Code Warrior 5.0, the system program debugging online was realized. Accumulative errors were recorded in the experiments of the automatic car tracing by running the system repeatedly. The results indicate that in the intelligent garbage sorting system, the fluctuation of cumulative error is stable, the ability of tracing is more accurate and reliable, and this system can realize the goal of automatic sorting rubbish, and offer advantageous references and evidences for the industrial application.

Key words: intelligent garbage sorting system; tracing; color identification; manipulator