Addressing the failure of traditional secondary cable assessment methods under multiple fault coupling scenarios, this study proposes an evaluation model integrating dynamic weight catastrophe theory and 3D radar mapping. A condition assessment indicator system for secondary cables was established across four dimensions: online monitoring data, offline testing data, equipment parameters, and routine inspection records5. Following indicator construction, the model first employs a hybrid weighting mechanism combining entropy weight method (objective weighting) and CRITIC method (correlation-based weighting) to enhance the static weight limitations of traditional catastrophe progression analysis. Subsequently, it innovatively establishes a quantitative evaluation system based on dual area-perimeter constraints using 3D radar charts for multidimensional visualization of cable operating parameters, ultimately constructing a physically interpretable cable health index. To validate effectiveness, empirical analysis was conducted on secondary cables from a provincial power grid, confirming the model’s accurate reflection of current operational status.