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The seamless integration and fusion of current multisource and heterogeneous spatial data in the open and distributed environments is still a crucial task and has strong application requirements. Nowadays, heterogeneous data resource in different region can be shared but cannot be used through a uniform way. This paper adopts a novel and converse cognize process on real world, and puts forward an intelligent multilayered middleware model (IMLMW) which has the characteristics of layered, symmetric and intelligent, therefore distributed heterogeneous spatial data can be seamlessly integrated and fusioned through data interoperability, spatial reference unified, spatial data process and semantic fusion middleware layers, bringing gappy logical world return back to seamless real word. Stratification of the model makes each fusion process more clear and independent; Symmetry of the model makes heterogeneous data streams that flow thorough always maintain consistent data model; Intelligence of the model makes middleware chain extensible and embedded in relevant to the ability of heterogeneous data source itself. According to the model, an seamless fusion framework and system has been developed and implemented, the application of heterogeneous spatial data integration in Land Use Investigation Institute of Guangxi province has achieved good results. IMLMW model has been verified and proved to be viable and practical.