This invention relates to the field of
engineering machinery safety technology, specifically disclosing a load stability
prediction system for telescopic boom forklifts based on the force exerted by the boom. The
system collects
motion sensing data and
stress wave sensing data at the boom hinge; calculates a cross-spectral coherence function based on the motion data to generate a hinge coherence disorder index; performs time-frequency transformation on the
stress wave data and automatically identifies
energy impact patches, extracting their peak energy,
center frequency, and duration; and generates a transient collision intensity spectrum index based on sensitive
frequency band mapping and aggregation; constructs a time-series comprehensive
feature vector from the two indices, inputs it into a pre-trained multi-layer gated recurrent
unit structure for nonlinear dynamic
system identification, and outputs a fused
stability assessment state quantity; maps this state quantity to a virtual
potential energy surface for multi-step forward extrapolation, calculates the dynamic
stability margin value, and issues an early warning when the margin is lower than an adaptive threshold; this invention achieves early and accurate prediction of nonlinear jump
instability.