{"title":"Research on UAV terminal distribution information system based on integrated management and control","authors":"Enhua Xu, Dewei Li","doi":"10.1117/12.2652761","DOIUrl":null,"url":null,"abstract":"With the continuous advancement of intelligent construction of logistics engineering, the customer demand of logistics market is gradually diversified. UAV logistics transportation is facing problems such as information fragmentation, decentralized and independent operation of subsystems and so on. In order to solve this problem, this paper combines a number of technologies such as serial wireless communication, remote sensing and internet development. It also integrates multi-source data such as human, machine, road, management and control, expounds the overall architecture, core architecture, key technologies and functional design architecture of the system according to the framework of data fusion decision analysis management and control, and adopts genetic algorithm to optimize the route planning of logistics and transportation in order to build an integrated app operation platform for UAV management and control, realize the accurate control and information management of UAV logistics transportation, and verify the feasibility of the system through the preliminary design of logistics transportation in Anning District, Lanzhou. The experimental results show that the remote communication data in the process of UAV transportation is stable and accurate, and the application of flight route planning results is good, which plays a great role in promoting the improvement of logistics efficiency.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Traffic and Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2652761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the continuous advancement of intelligent construction of logistics engineering, the customer demand of logistics market is gradually diversified. UAV logistics transportation is facing problems such as information fragmentation, decentralized and independent operation of subsystems and so on. In order to solve this problem, this paper combines a number of technologies such as serial wireless communication, remote sensing and internet development. It also integrates multi-source data such as human, machine, road, management and control, expounds the overall architecture, core architecture, key technologies and functional design architecture of the system according to the framework of data fusion decision analysis management and control, and adopts genetic algorithm to optimize the route planning of logistics and transportation in order to build an integrated app operation platform for UAV management and control, realize the accurate control and information management of UAV logistics transportation, and verify the feasibility of the system through the preliminary design of logistics transportation in Anning District, Lanzhou. The experimental results show that the remote communication data in the process of UAV transportation is stable and accurate, and the application of flight route planning results is good, which plays a great role in promoting the improvement of logistics efficiency.