Smart garbage bins assist in urban garbage classification

1. Project background

With the acceleration of urbanization, the average daily garbage output of a coastal city has exceeded 5,000 tons, and the traditional garbage sorting model is facing problems such as low efficiency, difficult supervision, and insufficient participation of residents. In 2022, the city and science and technology enterprises launched the "Green Zhitong" smart sanitation project, and the first batch of smart waste sorting systems were piloted in 3 communities, 2 commercial districts and 5 schools.

2. Solution

smart hardware deployment
and delivery of smart trash cans with the following functions:

ultrasonic sensor real-time monitoring capacity, full load automatic warning

AI image recognition garbage type, voice prompt classification and delivery

solar power supply system + waterproof design, adapt to outdoor environment

equipped with an automatic weighing and points exchange system

a digital management platform
to build a "one cloud and three terminals" system:

AI supervision cloud platform: real-time monitoring of 3000+ garbage cans

Sanitation APP: Automatically generate cleaning routes, improve operation efficiency by 30%

Resident Mini Program: Points for daily necessities, daily active users reach 23,000

government regulators: generate a heat map of garbage classification to support policy decisions

The innovative operation model

establishes a "misdirected tracking system", and associates households with <<>p style="line-height: 1.5em; text-align: left;" through delivery records, and "> develops" green banks "activity, accumulated points can be redeemed to deduct property fees

set up an intelligent supervision robot, correcting the wrong delivery behavior 2000+ times per day

third, the effectiveness of implementation

environmental benefits

38% waste reduction rate in the pilot area

recyclables utilization increased from 19% to 67%

food waste is 92% pure, meeting composting standards

management upgrade

reduce the number of vehicles by 45%, saving 1.2 million yuan in fuel costs annually

optimizes the location of 60% of garbage cans through big data analysis

, saving 80% of manual statistics time

impact

the accuracy of resident classification increased from 31% to 89%

attracted 32 communities to apply to join the second phase of the project

4. Lesson summary

project verifies the triple value of the smart sanitation system:

Technology Penetration: Realize the Whole Chain of Digital Delivery to Disposal through AI+IoT

Economic Sustainability: Advertising Space Leasing + Revenue Recovery Covers 60% of Operating Costs

Social replicability: modular design adapts to different scenarios of old and new communities

model has been promoted in 6 cities in the Yangtze River Delta, and in the future, it is planned to extend to in-depth application scenarios such as intelligent scheduling of garbage removal vehicles and prediction of waste incineration power generation.