Method of Improving the Efficiency of Domestic Waste Classification in Smart Communities Based on Multimodal Vision

LU Jialiang; WANG Gaowei; GE Guangyu

doi:10.19554/j.cnki.1001-3563.2025.18.048

PDF(10810 KB)

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (18) : 526-536. DOI: 10.19554/j.cnki.1001-3563.2025.18.048

Design Intelligent Innovation·Digital Intelligence Products and Services Design

Method of Improving the Efficiency of Domestic Waste Classification in Smart Communities Based on Multimodal Vision

LU Jialiang^1a, WANG Gaowei^2,*, GE Guangyu^1b

Author information +

History +

Abstract

To address the current issue of low efficiency in community waste classification, the work aims to design a system to enhance the efficiency of domestic waste classification in communities, thereby improving the classification accuracy, optimizing the collection and transportation strategies, and reducing secondary pollution. Relevant demands were collected through on-site observation and interview research. Based on the STM32F407ZGT6 development board as the core controller, combined with multi-sensor collaborative monitoring, machine vision (YOLOv5 algorithm), and mechanical structure optimization design, a modular waste classification device was constructed. The evaluation index of the smart community's domestic waste classification system was designed with the Delphi method, and the appearance design scheme of the trash can was evaluated, practiced and verified. The system could efficiently handle single-piece and multi-piece mixed wastes, meeting the demands of high-density community scenarios. It was a waste classification device integrating embedded visual recognition and dynamic sorting control, aiming to solve the problems of low efficiency and poor classification accuracy in traditional manual sorting. The evaluation index results of the smart community's domestic waste classification system were reliable. The method proposed in this work to improve the efficiency of domestic waste classification in smart communities can effectively handle various types of domestic waste, reduce the risk of direct contact, and enhance the efficiency of sorting work. The evaluation index and appearance design schemes also provide solutions for the smart community's domestic waste system.

Key words

smart community / waste classification system / multi-sensor collaborative monitoring / smart design / design optimization

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

LU Jialiang, WANG Gaowei, GE Guangyu. Method of Improving the Efficiency of Domestic Waste Classification in Smart Communities Based on Multimodal Vision[J]. Packaging Engineering. 2025, 46(18): 526-536 https://doi.org/10.19554/j.cnki.1001-3563.2025.18.048

References

[1] 杜欢政, 刘飞仁. 我国城市生活垃圾分类收集的难点及对策[J]. 新疆师范大学学报: 哲学社会科学版, 2020, 41(1): 134-144.
DU H Z, LIU F R.Difficulties and Countermeasures of Urban Domestic Waste Classification Collection in China[J]. Journal of Xinjiang Normal University: Philosophy and Social Sciences Edition, 2020, 41(1): 134-144.
[2] 程嘉萱, 邝慧仪. 智慧社区垃圾分类系统设计[J].包装工程, 2024, 45(6): 458.
CHENG J X, KUANG H Y.Design of Garbage Classification System for Smart Community[J]. Packaging Engineering,2024, 45(6):458.
[3] 周波. 基于未来智慧城市愿景的城市家具设计研究[D]. 杭州: 中国美术学院, 2019: 224-226.
ZHOU B.Research on Urban Furniture Design Based on the Vision of Future Smart Cities[D]. Hangzhou: China Academy of Art, 2019: 224-226.
[4] FELIP G, JORDI L.Emilio Gil Performance of an Ultrasonic Ranging Sensor in Apple Tree Canopies[J].Sensors, 2011(3): 2460-2477.
[5] QUEIROS R, ALEGRIA F C, GIRAO P S, et al.Cross- correlation and Sine-fitting Techniques for High -resolutionultrasonic Ranging[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(12): 3227-3236.
[6] 程文婷, 王灿. 面向可持续社区的生活垃圾系统设计策略研究[J]. 设计, 2021, 34(21): 82-85.
CHENG W T, WANG C.Research on Design Strategies of Domestic Waste System for Sustainable Communities[J]. Design, 2021, 34(21): 82-85.
[7] 季晓琼. “互联网+”背景下智慧社区建设方略研究[J]. 科技资讯, 2022, 20(19): 1-4.
JI X Q.Research on the Construction Strategies of Smart Communities under the Background of "Internet Plus"[J]. Information science and technology, 2022, 20(19): 1-4.
[8] 范威, 吉畅, 赵贤, 等. 基于MCGS的智能分类垃圾箱控制系统设计[J]. 机电工程技术, 2024, 53(8): 124-127.
FAN W, JI C, ZHAO X, et al.Design of Intelligent Classification Garbage Bin Control System Based on MCGS[J]. Mechanical and Electrical Engineering Technology, 24, 53(8): 124-127.
[9] 问锦尚, 张越, 方向明. 城市居民生活垃圾分类行为研究——基于全国五省的调查分析[J]. 干旱区资源与环境, 2019, 33(7): 24-30.
WEN J S, ZHANG Y, FANG X M.Research on the Classification Behavior of Urban Residents' Domestic Waste: Based on the Investigation and Analysis of Five Provinces Across the Country[J]. Resources and Environment in Arid Areas, 2019, 33(7) : 24-30.
[10] 王莉, 何牧天, 徐硕, 等. 基于YOLOv5s网络的垃圾分类和检测[J]. 包装工程, 2021, 42(8): 50-56.
WANG L, HE M T, XU S, et al.Garbage Cassification and Detection Based on YOLOv5s Networks[J]. Journal of Packaging Engineering, 2021, 42(8) : 50-56.
[11] 吴宇. 基于用户场景的智能家居交互设计研究[D]. 南京: 东南大学, 2024.
WU Y.Research on Smart Home Interaction Design Based on User Scenarios[D]. Nanjing: Southeast University, 2024.
[12] 张亚军, 张旭, 蒋超, 等. 基于多方满意度的户外分类垃圾桶可持续设计评价方法[J]. 包装工程, 2023, 44(14): 200-208.
ZHANG Y J, ZHANG X, JIANG C, et al.Evaluation Method for Sustainable Design of Outdoor Classified Trash Cans Based on Multi-party Satisfaction[J]. Packaging Engineering, 2023, 44(14):200-208.
[13] 王泽阳, 张鑫宇, 向泽锐, 等. 基于模糊层次分析的悬挂式单轨列车外观设计优化方法[J]. 科学技术与工程, 2025, 25(3): 977-984.
WANG Z Y, ZHANG X Y, XIANG Z R, et al.Optimization Method for the Appearance Design of Suspended Monorail Train Based on Fuzzy Analytic Hierarchy Process[J]. Science Technology and Engineering, 2020, 25(3): 977-984.