Demonstration of a contactless waste collection system: A Japanese case study

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2023-09-12 DOI:10.1049/smc2.12065
Akihisa Ogawa, Andante Hadi Pandyaswargo, Ryota Tsubouchi, Hiroshi Onoda
{"title":"Demonstration of a contactless waste collection system: A Japanese case study","authors":"Akihisa Ogawa,&nbsp;Andante Hadi Pandyaswargo,&nbsp;Ryota Tsubouchi,&nbsp;Hiroshi Onoda","doi":"10.1049/smc2.12065","DOIUrl":null,"url":null,"abstract":"<p>The COVID-19 pandemic has increased the need for social distancing and improved sanitation to prevent the spread of infectious diseases. In the waste management sector, protecting the safety and health of waste collection labourer has become a priority. In Japan, the labour shortage problem and ageing demography have intensified the need for contactless waste collection technology. This study responds to this need by reviewing the global practice of smart waste collection technologies and observing the situation of the Japanese waste collection system through participant observation. Based on the identified trends and status, the authors developed a contactless waste collection system and tested it on an actual working site. The demonstration showed that the system could safely lift a 700 L waste container containing 212 kg of waste to the collection truck without human contact. Labourers can be reduced from 2 to 1 person to operate the collection truck. This study also discovered the smart bin's potential to motivate the reduction of packaging waste consumption.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"5 4","pages":"303-316"},"PeriodicalIF":2.1000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.12065","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Cities","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smc2.12065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The COVID-19 pandemic has increased the need for social distancing and improved sanitation to prevent the spread of infectious diseases. In the waste management sector, protecting the safety and health of waste collection labourer has become a priority. In Japan, the labour shortage problem and ageing demography have intensified the need for contactless waste collection technology. This study responds to this need by reviewing the global practice of smart waste collection technologies and observing the situation of the Japanese waste collection system through participant observation. Based on the identified trends and status, the authors developed a contactless waste collection system and tested it on an actual working site. The demonstration showed that the system could safely lift a 700 L waste container containing 212 kg of waste to the collection truck without human contact. Labourers can be reduced from 2 to 1 person to operate the collection truck. This study also discovered the smart bin's potential to motivate the reduction of packaging waste consumption.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
非接触式废物收集系统的演示:日本案例研究
COVID-19大流行增加了保持社交距离和改善卫生条件的必要性,以防止传染病的传播。在废物管理部门,保护废物收集工人的安全和健康已成为一个优先事项。在日本,劳动力短缺问题和人口老龄化加剧了对非接触式垃圾收集技术的需求。本研究通过回顾智能垃圾收集技术的全球实践,并通过参与式观察观察日本垃圾收集系统的情况,回应了这一需求。根据确定的趋势和现状,作者开发了一种非接触式废物收集系统,并在实际工作现场进行了测试。演示表明,该系统可以在无人接触的情况下安全地将一个装有212公斤废物的700升废物容器抬到收集车上。工人可以从2人减少到1人来操作收集车。这项研究还发现了智能垃圾箱的潜力,以激励减少包装废物的消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living Smart city fire surveillance: A deep state-space model with intelligent agents Securing smart cities through machine learning: A honeypot-driven approach to attack detection in Internet of Things ecosystems Smart resilience through IoT-enabled natural disaster management: A COVID-19 response in São Paulo state Optimising air quality prediction in smart cities with hybrid particle swarm optimization-long-short term memory-recurrent neural network model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1