Cloud-Edge-Terminal-Based Synchronized Decision-Making and Control System for Municipal Solid Waste Collection and Transportation

被引:2
|
作者
Wan, Ming [1 ,2 ,3 ]
Qu, Ting [1 ,3 ,4 ]
Huang, Manna [1 ,2 ,3 ]
Qiu, Xiaohua [1 ,2 ,3 ]
Huang, George Q. [1 ,3 ,5 ]
Zhu, Jinfu [6 ]
Chen, Junrong [7 ]
机构
[1] Jinan Univ, GBA & B&R Int Joint Res Ctr Smart Logist, Zhuhai 519070, Peoples R China
[2] Jinan Univ, Sch Management, 601 Huangpu Ave West, Guangzhou 510632, Peoples R China
[3] Jinan Univ, Inst Phys Internet, Zhuhai Campus,206 Qianshan Rd, Zhuhai 519070, Peoples R China
[4] Jinan Univ, Sch Intelligent Syst Sci & Engn, Zhuhai Campus,206 Qianshan Rd, Zhuhai 519070, Peoples R China
[5] Univ Hong Kong, Dept Ind & Mfg Syst Engn, Pokfulam Rd, Hong Kong, Peoples R China
[6] Gongbei St Off, 123 Gangchang Rd, Zhuhai 519020, Peoples R China
[7] Zhuhai Top Cloud Tech Co Ltd, 2021 Qianshan Mingzhu South Rd, Zhuhai 519070, Peoples R China
基金
中国国家自然科学基金;
关键词
municipal solid waste; waste classification; waste logistics; waste collection and transportation; IoT; cloud-edge collaboration; synchronization; MANAGEMENT; LOGISTICS; MODEL;
D O I
10.3390/math10193558
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Due to dynamics caused by factors such as random collection and transportation requirements, vehicle failures, and traffic jams, it is difficult to implement regular waste collection and transportation schemes effectively. A challenge for the stable operation of the municipal solid waste collection and transportation (MSWCT) system is how to obtain the whole process data in real time, dynamically judge the process control requirements, and effectively promote the synchronization operation between multiple systems. Based on this situation, this study proposes a cloud-edge-terminal-based synchronization decision-making and control system for MSWCT. First, smart terminals and edge computing devices are deployed at key nodes of MSWCT for real-time collection and edge computing analysis of the whole process data. Second, we propose a collaborative analysis and distributed decision-making method based on the cloud-edge-terminal multi-level computing architecture. Finally, a "three-level and two-stage" synchronization decision-making mechanism for the MSWCT system is established, which enables the synchronization operation between various subsystems. With a real-world application case, the efficiency and effectiveness of the proposed decision-making and control system are evaluated based on real data of changes in fleet capacity and transportation costs.
引用
收藏
页数:20
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