基于互联网+模型的垃圾回收平台研究:遗传算法规划路径

Yang Lei, Wang Lei, Wu Ziang, Gao Yaxin
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引用次数: 0

摘要

各行各业与互联网技术的融合,推动了智慧城市体系的全面变革,解决城市产生的大量生活垃圾成为新的期待。因此,需要一个基于互联网技术的垃圾回收平台。本文对平台的总体框架设计和功能模块设计进行了研究。整个框架采用B/S结构,减少了系统的通信开销,并允许它充分利用两种硬件环境的优势。车辆监控模块利用北斗定位提供硬件服务,利用百度地图提供的SDK实现实时监控;统计模块利用可视化技术,便于管理人员查看操作细节。路径规划模块采用遗传算法确定最短路径。该平台将大大提高废物回收效率,节省40%以上的人力和时间成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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