Construction and Application of Ecological Environment Knowledge Graph for
Ecological Supervision in Mining Area
WANG Xingfeng, CHEN Guoliang,
2025, 54(11):
242-249.
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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.