{"title":"散货码头协同调度控制方法研究","authors":"Xuelin Wang, Hankun Shi, N. Lu","doi":"10.1117/12.2673370","DOIUrl":null,"url":null,"abstract":"This paper aims at the problems of unclear scheduling model and low intelligence in the scheduling technology of bulk cargo terminals, analyzes the business process and characteristics of bulk cargo terminals based on the current situation and demand of the scheduling business of bulk cargo terminals, according to the actual scheduling characteristics and use rules of the berths and yards of bulk cargo terminals, and combined with the characteristics of complex coordination factors between the berths and yards of bulk cargo terminals, A multi resource collaborative scheduling model of bulk cargo terminal based on particle swarm optimization algorithm is proposed, and the algorithm is analyzed. This paper also proposes an optimization scheme for bulk cargo terminal scheduling.","PeriodicalId":176918,"journal":{"name":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on cooperative scheduling control method of bulk cargo terminal\",\"authors\":\"Xuelin Wang, Hankun Shi, N. Lu\",\"doi\":\"10.1117/12.2673370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at the problems of unclear scheduling model and low intelligence in the scheduling technology of bulk cargo terminals, analyzes the business process and characteristics of bulk cargo terminals based on the current situation and demand of the scheduling business of bulk cargo terminals, according to the actual scheduling characteristics and use rules of the berths and yards of bulk cargo terminals, and combined with the characteristics of complex coordination factors between the berths and yards of bulk cargo terminals, A multi resource collaborative scheduling model of bulk cargo terminal based on particle swarm optimization algorithm is proposed, and the algorithm is analyzed. This paper also proposes an optimization scheme for bulk cargo terminal scheduling.\",\"PeriodicalId\":176918,\"journal\":{\"name\":\"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2673370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2673370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on cooperative scheduling control method of bulk cargo terminal
This paper aims at the problems of unclear scheduling model and low intelligence in the scheduling technology of bulk cargo terminals, analyzes the business process and characteristics of bulk cargo terminals based on the current situation and demand of the scheduling business of bulk cargo terminals, according to the actual scheduling characteristics and use rules of the berths and yards of bulk cargo terminals, and combined with the characteristics of complex coordination factors between the berths and yards of bulk cargo terminals, A multi resource collaborative scheduling model of bulk cargo terminal based on particle swarm optimization algorithm is proposed, and the algorithm is analyzed. This paper also proposes an optimization scheme for bulk cargo terminal scheduling.