Research on the Implementation of Household Garbage Classification from the Perspective of Big Data Analysis

In modern society, creating a harmonious and civilized environment has led to a significant emphasis on waste sorting policies and related industrial development. Big data technology has been widely applied in this area, benefiting social economy and construction. However, since adopting big data in China began relatively late, the relevant theories, especially in waste sorting, have not yet been fully developed. Therefore, it is necessary to improve waste sorting and management gradually by integrating big data technology. This study first outlines the basic concepts of big data and waste sorting. It defines the role of big data in developing the waste sorting industry based on policy implementation in a specific region. The research explores a big data-driven urban waste disposal system and the architecture of a waste sorting and recycling system using the Internet of Things. To assess effectiveness, residents from green demonstration communities and non-demonstration communities were selected as samples for comparison. Ultimately, the goal is to utilize digital technology better to advance waste sorting in China.