Fecha de publicación: 02/11/2021 Fuente: Wipo "BigData" The invention discloses a bridge cable steel wire corrosion degree monitoring method based on big data. The method comprises the following steps: S1, establishing a digitized cable bridge cloud database of a cable bridge; S2, establishing a digitized corrosion pit cloud database of the bridge cable steel wire corrosion pits; S3, using a measuring instrument to monitor the damage parameter of the bridge cable steel wire corrosion pit in real time; S4, establishing a local database for classified storage and analysis of the monitored damage parameters of the bridge cable steel wire corrosion pit; S5, determining the equivalent surface crack type of the corrosion pit; S6, establishing a bridge cable steel wire structure finite element model with equivalent surface cracks, and calculating a stress intensity factor through the finite element model; S7, calculating the residual fatigue life of the monitored bridge cable steel wire structure according to the stress intensity factor; and S8, making a bridge maintenance scheme or carrying out risk early warning according to the residual fatigue life. The accuracy of monitoring the corrosion degree of the inhaul cable bridge can be improved.