Design of Intelligent Garbage Classification System Based on Internet of Things Technology. Issue 1 (1st February 2022)
- Record Type:
- Journal Article
- Title:
- Design of Intelligent Garbage Classification System Based on Internet of Things Technology. Issue 1 (1st February 2022)
- Main Title:
- Design of Intelligent Garbage Classification System Based on Internet of Things Technology
- Authors:
- Tan, Yanping
Guo, Wei
Yang, Ke
Huang, Jingjing
Yang, Zhengping - Abstract:
- Abstract: With the increasingly prominent problem of environmental pollution, it is extremely urgent to carry out garbage classification. This paper designs an intelligent garbage classification system based on Internet of Things technology, The system is mainly composed of relay driving circuit, infrared induction, metal detection and humidity detection modules. Single chip microcomputer and multi-channel sensors are used to collect and process related data to realize metal garbage recovery, dry garbage and wet garbage classification and delivery, and the collected related data are displayed on the display screen through serial communication. The experimental results show that the system has the characteristics of simple structure, stable performance and convenient operation, which provides a feasible solution for the current garbage classification and treatment.
- Is Part Of:
- Journal of physics. Volume 2187:Issue 1(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2187:Issue 1(2022)
- Issue Display:
- Volume 2187, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2187
- Issue:
- 1
- Issue Sort Value:
- 2022-2187-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2187/1/012020 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22045.xml