The invention discloses a steel
wire rope real-time online monitoring method and
system based on an
intelligent sensor, and relates to the technical field of steel
wire rope monitoring. According to the method, a plurality of collection points are arranged on a steel
wire rope path, and pretreatment
modes such as time synchronous correction, band-pass filtering, tension difference extraction and Z-
score standardization are combined; the
effective energy level index Elive of the pulse source capable of reflecting the in-vivo
pulse energy characteristics of the deep-sea giant
tuna is established. A pulsation amplitude item is constructed by adopting a peak-to-
peak value P2P, a dispersion item is constructed by using a standard deviation of a real-time tension difference sequence, and a ratio of the pulsation amplitude item to the dispersion item is used as an expression structure of an
effective energy level index of a pulsation source, so that the identification capability of the pulsation of a
living body on the tension of the steel wire
rope can be remarkably improved; effective distinguishing from sea condition disturbance, ship body swing and other pseudo signals is achieved. According to the
processing mode, the defect that in the prior art, the non-uniform pulsating type load is difficult to recognize only depending on single-point tension or RMS indexes is overcome.