The invention discloses a
corrosion environment bridge cable life prediction method and
system based on
data analysis, and relates to the technical field of
bridge engineering, the
system collects
environmental data and cable
corrosion data in real time through an integrated sensor group, and the
environmental data and the cable
corrosion data are transmitted and preprocessed through a
wireless network LoRa and then stored in a non-
relational database NoSQL. The method comprises the following steps: extracting health
feature data, calculating a cable
health index Lfs, and carrying out preliminary evaluation on the cable
health index Lfs and a preset cable safety threshold A; and if the inhaul cable is in a healthy state, triggering secondary evaluation, deeply analyzing surface characteristics and environmental characteristics of the inhaul cable, and calculating a
surface corrosion influence index Bmy and an environmental influence index Hjx of the inhaul cable. And calculating a comprehensive corrosion rate prediction index FYC according to the indexes, and comparing the comprehensive corrosion rate prediction index FYC with a preset corrosion rate threshold B to generate corresponding early warning information. The
system aims at monitoring and evaluating the corrosion state of the bridge inhaul cable in real time, improving the safety and reliability of a bridge and taking maintenance measures in time.