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This invention provides an intelligent processing method and system for public health physical examination follow-up family signature data based on multi-device acquisition. The method includes: collecting raw data streams from multiple vendors' devices via an edge gateway; unifying fields, types, and units through protocol parsing, regular expression and syntax analysis; and promoting automatic semantic alignment of cross-device fields through a dynamic semantic benchmark template. This method employs a lightweight encoder-decoder and contrastive learning mechanism to construct a shared embedding space, achieving device-level semantic matching. It integrates contextual consistency verification and incremental knowledge distillation to support continuous model optimization with new devices and clinical feedback. This invention effectively solves the problem of inconsistent structure and semantics in multi-source medical data, improves the standardization and label consistency capabilities of health data, and promotes the automated application of intelligent risk assessment and follow-up management.