With the maturity of the application of big data technology in various industries, especially in the fields of atmospheric monitoring and pollution control, we can introduce big data and experience into the green supply chain of China's rare earth industry. Therefore, it provides necessary support for solving the problems of centralized control of the ecological environment of the rare earth industry and poor controllability of rare earth prices. The significance of this research is to comprehensively consider the characteristics of the system industry, and conduct dynamic quantitative analysis of data in various supply chain links such as mining, refining, supply, consumption, and recycling. At the same time, it is also possible to use the constructed model to fully analyze and display the data collected from the environment from multiple dimensions, the progress status of the governance measures, and the governance results, and provide reference for the scientific decision-making and sustainable development of the rare earth industry.