Intelligent Identification System for Loading and Unloading Vehicle Operations in Bulk Terminals Based on Clustering Algorithm
This study proposes an intelligent identification system for loading and unloading vehicle opera-tions in bulk terminals.Firstly,based on adoption of the on-board Beidou positioning module and RFID technology,the system accurately collects positioning information of loading and unloading vehicles in the operational berths.Secondly,the K-means clustering algorithm is employed to analyze the positioning data with the aim of realizing the intelligent identification of loading and unloading tasks.Lastly,applica-tion software has been developed to facilitate practical operations and management.Generally speaking,practice has proved that the intelligent identification system can effectively identify the operation tasks of the loading and unloading vehicles,automatically record the number of operations,stimulate the enthusi-asm of loading and unloading drivers,and improve the efficiency of terminal operations.
bulk terminalsloading and unloadingintelligent identificationBeidou positioningK-means algorithm
万方数据
维普
