{"title":"基于互联网+模型的垃圾回收平台研究:遗传算法规划路径","authors":"Yang Lei, Wang Lei, Wu Ziang, Gao Yaxin","doi":"10.1145/3584748.3584788","DOIUrl":null,"url":null,"abstract":"The integration of all walks of life and Internet technology has promoted the comprehensive reform of smart city system, and it has become a new expectation to solve a large number of domestic wastes generated by cities. As a result, a waste recycling platform based on Internet technology is required. The overall framework design and functional module design of the platform are investigated in this paper. The overall framework uses a B/S structure, which reduces the system's communication overhead and allows it to take full advantage of the advantages of both hardware environments. The vehicle monitoring module makes use of Beidou positioning to provide hardware services, and the SDK provided by Baidu Map to achieve real-time monitoring; the statistics module makes use of visualization technology, making it easy for managers to check operation details. The path planning module employs genetic algorithms to determine the shortest path. The platform will greatly improve waste recycling efficiency and save more than 40% in labor and time costs.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on waste recycling platform Based on internet plus Model: Genetic algorithm planning path\",\"authors\":\"Yang Lei, Wang Lei, Wu Ziang, Gao Yaxin\",\"doi\":\"10.1145/3584748.3584788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The integration of all walks of life and Internet technology has promoted the comprehensive reform of smart city system, and it has become a new expectation to solve a large number of domestic wastes generated by cities. As a result, a waste recycling platform based on Internet technology is required. The overall framework design and functional module design of the platform are investigated in this paper. The overall framework uses a B/S structure, which reduces the system's communication overhead and allows it to take full advantage of the advantages of both hardware environments. The vehicle monitoring module makes use of Beidou positioning to provide hardware services, and the SDK provided by Baidu Map to achieve real-time monitoring; the statistics module makes use of visualization technology, making it easy for managers to check operation details. The path planning module employs genetic algorithms to determine the shortest path. The platform will greatly improve waste recycling efficiency and save more than 40% in labor and time costs.\",\"PeriodicalId\":241758,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584748.3584788\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on waste recycling platform Based on internet plus Model: Genetic algorithm planning path
The integration of all walks of life and Internet technology has promoted the comprehensive reform of smart city system, and it has become a new expectation to solve a large number of domestic wastes generated by cities. As a result, a waste recycling platform based on Internet technology is required. The overall framework design and functional module design of the platform are investigated in this paper. The overall framework uses a B/S structure, which reduces the system's communication overhead and allows it to take full advantage of the advantages of both hardware environments. The vehicle monitoring module makes use of Beidou positioning to provide hardware services, and the SDK provided by Baidu Map to achieve real-time monitoring; the statistics module makes use of visualization technology, making it easy for managers to check operation details. The path planning module employs genetic algorithms to determine the shortest path. The platform will greatly improve waste recycling efficiency and save more than 40% in labor and time costs.