基于SEM模型和物联网的智能垃圾分类及垃圾桶配置研究
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摘要
随着我国电子商务的迅猛发展,物联网已经深入居民生活的各个方面。本文通过问卷调查以及分析国内外的垃圾分类趋势,基于SEM模型和物联网的智能垃圾分类,来研究智能垃圾桶的配备。垃圾桶将仿照自动售卖机的设计,将我国目前的便捷收付端与垃圾分类处理机器结合,使其具有节能化、环保化、集约化、智能化等特点。在提高人们对于垃圾分类投放主动性的同时,可以加速我国的信用城市建设速度,从而达到保护环境、节约资源的目的。
With the rapid development of e-commerce in China, the Internet of Things has gone deep into all aspects of civilian life. Based on the SEM model and IOT intelligent garbage classification, this paper studied intelligent garbage classification and trash cans' equipment through the questionnaire survey and analysis of domestic and foreign trends in the classification of garbage. Trash will be modeled on the vending machine design, the current convenience of China's cashier and waste sorting processing machines combine to make it with energy-saving, environmental protection, intensive, intelligent and so on. While improving people's initiative for sorting garbage, we can speed up the construction of China's credit city so as to achieve the goal of protecting the environment and saving resources.
With the rapid development of e-commerce in China, the Internet of Things has gone deep into all aspects of civilian life. Based on the SEM model and IOT intelligent garbage classification, this paper studied intelligent garbage classification and trash cans' equipment through the questionnaire survey and analysis of domestic and foreign trends in the classification of garbage. Trash will be modeled on the vending machine design, the current convenience of China's cashier and waste sorting processing machines combine to make it with energy-saving, environmental protection, intensive, intelligent and so on. While improving people's initiative for sorting garbage, we can speed up the construction of China's credit city so as to achieve the goal of protecting the environment and saving resources.
引文
[1]陈彦蓉.我国信用城市建设驶入“直车道”[N].金融时报,2017-07-21(005).
[2]姜启源.数学模型[M].北京:高等教育出版社,2011.
[3]陈子恒,周志成,王梦帅.智能分类垃圾桶的设计与实现[J].机电信息,2017(9):100-101.
[4]吴凡,孙颖,贾长青.基于物联网的垃圾智能分类回收系统的研究[J].科技与创新,2017(14):48-50.
[5]刘雅璇,张扬,许璐璐,等.基于拉曼光谱识别技术的创新型智能识别垃圾桶设计[J].河南科技,2016(21):67-69.
[2]姜启源.数学模型[M].北京:高等教育出版社,2011.
[3]陈子恒,周志成,王梦帅.智能分类垃圾桶的设计与实现[J].机电信息,2017(9):100-101.
[4]吴凡,孙颖,贾长青.基于物联网的垃圾智能分类回收系统的研究[J].科技与创新,2017(14):48-50.
[5]刘雅璇,张扬,许璐璐,等.基于拉曼光谱识别技术的创新型智能识别垃圾桶设计[J].河南科技,2016(21):67-69.