城市生活垃圾智能分类技术研究与应用进展

利用科技应用进行智能垃圾分类 #生活乐趣# #日常生活乐趣# #环保生活实践# #垃圾分类实践#

城市生活垃圾智能分类技术研究与应用进展1. 天津大学环境科学与工程学院, 天津 300072;
2. 天津商业大学机械工程学院, 天津 300134;
3. 西藏大学理学院, 西藏 拉萨 850012;
4. 天津市生物质废弃物利用重点实验室, 天津市生物气/油技术工程研究中心, 天津 300072Advances in research and application of intelligent municipal solid waste classification technologiesLIANG Rui1, CHEN Guan-yi1,2,3, YAN Bei-bei1,4, SUN Yu-nan2, TAO Jun-yu21. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;
2. School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China;
3. School of Science, Tibet University, Lhasa 850012, China;
4. Tianjin Key Laboratory of Biomass Wastes Utilization, Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China摘要图/表参考文献相关文章(15)
摘要 城市生活垃圾清运量逐年增加, 由此带来的环境问题日益严峻.不同垃圾组分有其各自适宜的处理与利用方式, 因此, 有效的垃圾分类技术具有重要意义.我国现有的以人工为主的垃圾分类方式存在效率低、成本高、准确性差等弊端, 而垃圾智能分类技术是解决相关瓶颈的重要手段.本文简述了中国代表性城市生活垃圾分布和近年变化趋势, 从密度、电、磁、声波、图像以及光谱多种技术角度出发, 解析了国内外现有的城市生活垃圾智能分类技术, 简要介绍了智能垃圾分类技术的实际应用情况, 分析了智能垃圾分类技术的挑战与机遇.服务把本文推荐给朋友加入我的书架加入引用管理器 E-mail AlertRSS作者相关文章梁蕊陈冠益颜蓓蓓孙昱楠陶俊宇关键词 ：城市生活垃圾, 智能分类, 技术进展, 前沿应用, 挑战与机遇   Abstract：The growing annual disposal volume of municipal solid waste (MSW) is causing serious environmental problem worldwide. Different components in MSW have their own appropriate treatment and utilization techniques, thus effective MSW classification is significantly important. While current classification methods in China is primarily artificial classification, which have a lot of disadvantages such as low efficiency, high cost and low accuracy. These bottlenecks could be excellently solved by intelligent and automatic classification technologies. The recent distribution feature and growing trend of MSW in China's representative cities were briefly introduced, and the existing intelligent MSW classification technologies in six categories of principles were analyzed. These categories included density, electricity, magnetism, image, acoustic and spectrum. The practical applications of intelligent MSW classification technologies were also introduced. Finally, the threats and opportunities faced with intelligent MSW classification technologies were analyzed.Key words：municipal solid waste (MSW)  intelligent classification  technology advances  pioneering applications  threats and opportunities   收稿日期: 2021-05-23     基金资助:国家重点研发计划(2019YFD1100305);国家自然科学基金资助项目(51878557);天津市自然科学基金资助项目(19JCJQJC62800)通讯作者:陶俊宇, 讲师, taojunyu@tjcu.edu.cn    E-mail: taojunyu@tjcu.edu.cn作者简介: 梁蕊(1997-), 女, 山西忻州人, 天津大学硕士研究生, 主要从事固体废弃物智能分类技术研究.发表论文3篇引用本文:   梁蕊, 陈冠益, 颜蓓蓓, 孙昱楠, 陶俊宇. 城市生活垃圾智能分类技术研究与应用进展[J]. 中国环境科学, 2022, 42(1): 227-238. LIANG Rui, CHEN Guan-yi, YAN Bei-bei, SUN Yu-nan, TAO Jun-yu. Advances in research and application of intelligent municipal solid waste classification technologies. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(1): 227-238.链接本文:  http://www.zghjkx.com.cn/CN/      或     http://www.zghjkx.com.cn/CN/Y2022/V42/I1/227

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