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This invention provides a wearable postoperative pain assessment and analgesia pump linkage system, belonging to the field of medical rehabilitation equipment technology. The system includes a perception layer, an edge computing layer, a collaborative decision engine, and an execution feedback layer. The perception layer synchronously collects multimodal signals of patient movement, local wound mechanics, and pain physiological responses through a wearable motion sensing unit, wound biomechanical sensing patch, and physiological signal acquisition module. The edge computing layer completes spatiotemporal alignment of multimodal data, action recognition based on temporal convolutional networks, and quantitative calculation of wound stress risk index and action-pain response index. The collaborative decision engine incorporates a four-level risk assessment model to classify the risk of postoperative activities and performs dual-modal quantitative verification of occult wound risks using drug-masked and sleep-masked methods, outputting differentiated intervention decisions. The execution feedback layer achieves graded drug administration through an intelligent analgesia pump and pushes real-time physical intervention guidance via patient-side interactive devices.