Abstract: The application of new generation information technologies represented by "big data and big model" provide a new perspective for ecological research.Building a new model of ecological environment supervision characterized by "artificial intelligence" has become an important topic in modern ecological supervision research.The traditional analysis method of "light discovery,heavy post monitoring,strong assessment,and weak warning" for the ecological environment of mining areas is difficult to meet the practical needs of management departments for accurate identification,rapid and efficient detection,and early detection.To meet the practical needs of intelligent recognition and active discovery of the ecological environment status in mining areas,a framework for constructing a Knowledge Graph of Ecological Environment in Mining Area (KGEE-MA) for ecological supervision was proposed.The key technologies of collaborative perception,cognitive learning,graph expression,and intelligent application were analyzed,and the conceptual hierarchy,semantic relationship,and spatiotemporal relationship of disturbance sources,ecological elements,mining disasters,perception data,analysis indicators,and evaluation model ontology were defined.Taking the Yongxia mining area as an example,the proposed technical framework was applied and verified,and the results showed that:① KGME-MA can help identify sensitive ecological factors and ecological risk factors affected by min ing disturbance,and detect suspicious ecological targets,potential disaster areas,and areas with severe ecological disturbance in advance during resource mining;② KGME-MA can provide certain support for intelligent reasoning,early detection,and accu rate identification of ecological damage in the cognitive field of mining areas,a special spatial scenario.The above research re flects that the ecological environment knowledge graph of mining areas constructed in this article can provide new technical means for "smart supervision" of the ecological environment,provide new ideas for solving modern ecological governance problems,enrich the theory of mining ecological evolution and ecological restoration,and have certain reference value for guiding ecological analysis and evaluation,ecological comprehensive management,and ecological reclamation in mining areas.

Key words: ecological environment in mining area,knowledge graph,intelligence identification,smart supervision,active discovery