This invention relates to the field of
energy storage equipment structural
simulation and
mechanical reliability assessment technology, specifically a strain node assessment
system for
energy storage cabinets based on mechanical
simulation. The
system includes: a basic data
parsing module, which acquires three-dimensional structural data and material property data of the
energy storage cabinet, extracts
assembly and bonding features, and performs
finite element mesh generation to form an initial strain node set; a dynamic interference injection module, which acquires historical
operating environment load characteristic data and generates a dynamic interference
load spectrum through a
generative adversarial network model; a trust entropy assessment module, which extracts ideal stress
tensor sequences and nonlinear stress
tensor sequences and calculates the dynamic
divergence rate, defining it as the node-level
simulation trust entropy; and a topology reconstruction module, which optimizes and reconstructs target nodes exceeding a threshold and iteratively updates them, outputting a structural optimization assessment report or an initial safety assessment report. This invention enables early screening of high-risk
assembly nodes in energy storage cabinets and provides decision support for structural reconstruction.