Design of intelligent garbage classification system based on Internet of Things technology

In order to effectively improve the urban and rural environment and promote the recycling of resources, it is imperative to carry out waste classification. Garbage sorting often has problems such as a wide variety of garbage, difficulty in advancing, and inconvenient use of trash cans. Therefore, this paper designs an intelligent garbage sorting system based on the STM32F103C8T6 single-chip microcomputer as the main control core. The HC-SR04 ultrasonic ranging module is used to detect the distance between obstacles (referring to people) and the trash can. In this design, when the distance between the human body and the trash can is detected to be less than 10cm, the entire system will be awakened and started. The LD3320 voice recognition module is combined with the JR6001 voice broadcast module to realize voice-activated opening of the designated trash can without manual opening and closing of the trash can lid. Detect the light intensity of the environment through the photoresistor, and use the low level to automatically control the USB light to realize night lighting. The overflow of the trash can is detected through the infrared tube module, and at the same time, the overflow of a certain trash can is sent to the mobile phone of the cleaning staff through the SIM800C communication module, which is convenient for the cleaning staff to deal with in real time. The results of multiple tests show that the functions of the system are stable and accurate, and can meet the characteristics of high recognition rate, low cost, and strong practicability. It can be applied in the field of garbage classification and has good promotion value.