TY - JOUR
T1 - Cloud-Edge-Terminal-Based Synchronized Decision-Making and Control System for Municipal Solid Waste Collection and Transportation
AU - Wan, Ming
AU - Qu, Ting
AU - Huang, Manna
AU - Qiu, Xiaohua
AU - Huang, George Q.
AU - Zhu, Jinfu
AU - Chen, Junrong
N1 - Funding Information:
This paper was financially supported by the National Natural Science Foundation of China (51875251, 52205526), the National Key Research and Development Program of China (2021YFB3301701), the 2019 Guangdong Special Support Talent Program—Innovation and Entrepreneurship Leading Team (China) (2019BT02S593), the 2018 Guangzhou Leading Innovation Team Program (China) (201909010006), and the Science and Technology Development Fund (Macau SAR) (0078/2021/A). We also appreciate the sponsorships from the Zhuhai Top Cloud Tech Co., GBA and B&R International Joint Research Center for Smart Logistics, a provincial research lab sponsored by the Department of Science and Technology of Guangdong Province, thanks to which the international collaboration has been effectively conducted.
Publisher Copyright:
© 2022 by the authors.
PY - 2022/10
Y1 - 2022/10
N2 - 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.
AB - 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.
KW - cloud-edge collaboration
KW - IoT
KW - municipal solid waste
KW - synchronization
KW - waste classification
KW - waste collection and transportation
KW - waste logistics
UR - http://www.scopus.com/inward/record.url?scp=85139927749&partnerID=8YFLogxK
U2 - 10.3390/math10193558
DO - 10.3390/math10193558
M3 - Journal article
AN - SCOPUS:85139927749
SN - 2227-7390
VL - 10
JO - Mathematics
JF - Mathematics
IS - 19
M1 - 3558
ER -