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This invention relates to the field of geological exploration data processing technology, and discloses a method and system for AI fusion, identification, and analysis of multimodal geological data. The method aggregates and structures multimodal data such as physical fields, chemical elements, geological structures, and drilling core samples; constructs and iteratively optimizes a knowledge topology network based on geological semantics to express semantic relationships and spatial constraints between data entities; actively detects high-value information links and contradictions within the knowledge network; generates multiple parallel fusion decision-making plans accordingly, clarifying data coordination rules and feature enhancement directions; introduces external intervention commands to screen and reconstruct the plans, forming a target fusion operation sequence; executes the sequence and synchronously evolves the knowledge network. This method realizes a transformation from static data association to dynamic knowledge guidance, and from fixed algorithms to human-machine collaborative proactive decision-making, improving the reliability of geological target identification and the level of intelligent analysis.