TY - JOUR
T1 - An intelligent waste removal system for smarter communities
AU - Zhang, Qi
AU - Li, Hongyang
AU - Wan, Xin
AU - Skitmore, Martin
AU - Sun, Hailin
N1 - Funding Information:
Funding: This work is supported by National Natural Science Foundation of China (grant numbers71501074, 71802071); the “13 th Five-Year” Plan of Philosophy and Social Sciences of Guangdong Province (2019 General Project) (project number GD19CGL27); the State Key Laboratory of Subtropical Building Science, South China University of Technology, China (2020ZB17); the Youth Project of Humanities and Social Science Fund of Ministry of Education of China (grant number 18YJCZH166); the Fundamental Research Funds for the Central Universities (approval number 2019MS116; project number x2tj/D2192640); and the Fundamental Research Funds for the Central Universities (grant number B200202044).
Publisher Copyright:
© 2020 by the authors.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9
Y1 - 2020/9
N2 - With the continuous progress of urbanization, the discharge of municipal solid waste has profoundly affected human production/living and social ecological health, and waste disposal has become one of the key issues all over the world. In the context of intelligent technology, this paper innovates the way of waste disposal according to the development direction of a smart city and the requirement of sustainable development strategy. An intelligent urban waste removal system is developed using a ROS (Route Operation System) robot operating system and RRT (Rapid Exploration of Random Trees) path planning algorithm. With a background of data management, the entire process of intelligent automatic waste removal is triggered by automatic communication from individual waste bins to a waste collection vehicle (WCV) where the bin needs to be emptied, and the automatic collection and transportation by the WCV in response. In combination with the IoT (Internet of Things), the system provides scientific data support for the intelligent layout of communities and even urban waste bins to greatly enhance the development of intelligence communities and smart cities.
AB - With the continuous progress of urbanization, the discharge of municipal solid waste has profoundly affected human production/living and social ecological health, and waste disposal has become one of the key issues all over the world. In the context of intelligent technology, this paper innovates the way of waste disposal according to the development direction of a smart city and the requirement of sustainable development strategy. An intelligent urban waste removal system is developed using a ROS (Route Operation System) robot operating system and RRT (Rapid Exploration of Random Trees) path planning algorithm. With a background of data management, the entire process of intelligent automatic waste removal is triggered by automatic communication from individual waste bins to a waste collection vehicle (WCV) where the bin needs to be emptied, and the automatic collection and transportation by the WCV in response. In combination with the IoT (Internet of Things), the system provides scientific data support for the intelligent layout of communities and even urban waste bins to greatly enhance the development of intelligence communities and smart cities.
UR - http://www.scopus.com/inward/record.url?scp=85090867698&partnerID=8YFLogxK
U2 - 10.3390/SU12176829
DO - 10.3390/SU12176829
M3 - Article
AN - SCOPUS:85090867698
SN - 2071-1050
VL - 12
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 17
M1 - 6829
ER -
