This invention relates to the field of bridge monitoring and discloses a distributed
wireless intelligent network sensing system for bridges, comprising: a sensing node module for distributed acquisition of multimodal raw signals at predetermined locations on the bridge; an edge aggregation module for receiving the damage
feature data, constructing evidence sources by combining multi-source correlation data, and outputting hierarchical decision results; a cloud decision module for classifying the hierarchical decision results according to working conditions, generating adaptive early warning thresholds based on probability correction and dynamic threshold optimization, and executing hierarchical early warnings; and a
wireless network transmission module for data interaction through a
hybrid wireless network. By refining damage
feature data through
signal decomposition and interference removal, effectively filtering interference data through multi-source evidence fusion and hierarchical decision-making, and generating adaptive early warning thresholds adapted to different working conditions through working condition classification, probability correction, and dynamic threshold optimization, accurate identification and reliable early warning of bridge structural damage are achieved.