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The invention belongs to the field of power system monitoring and fault diagnosis, and particularly relates to a cable branch box health early warning method based on fusion of insulation resistance and leakage current. The method comprises the following steps: acquiring insulation resistance and leakage current signals which are synchronously aligned by using a sensing monitoring unit, and extracting deterministic characteristics through nonlinear preprocessing; performing phase-space reconstruction on the leakage current signal, and calculating the maximum Lyapunov exponent, correlation dimension and other dynamic characteristic indexes so as to quantify the chaotic evolution degree responded by the insulating medium; and constructing an evaluation model based on fusion of insulation resistance and dynamic indexes, calculating a comprehensive health index, comparing the comprehensive health index with a threshold value, and determining an early warning level. According to the method, the qualitative change omen at the initial stage of insulation degradation can be sensitively captured by fusing the macroscopic electrical parameters and the microdynamics evolution characteristics, the advancement and the anti-interference capability of early warning are improved, reliable support is provided for refined operation and maintenance of the cable branch box, and the power supply reliability of a power system is guaranteed.

The embodiment of the invention discloses a vehicle door closing state determination method, a vehicle and a product, and relates to the technical field of vehicle control, the method comprises the following steps: in response to a triggering operation on a vehicle door closing event, acquiring a sound signal associated with the vehicle door closing event and a state parameter influencing vehicle environment noise; wherein the state parameters comprise at least one of vehicle working condition parameters and environment parameters which influence vehicle environment noise; extracting sound features of the sound signals; performing feature analysis on the sound features based on the state parameters, and obtaining the closing state of the vehicle door based on an analysis result; wherein the closed state comprises an unclosed state, a fully closed state and an unclosed state. According to the technical scheme provided by the embodiment of the invention, no extra hardware sensor is needed, so that the hardware cost and the structural complexity are effectively reduced; meanwhile, the interference of different vehicle working conditions and environmental factors on the sound signals can be effectively eliminated, and the accuracy and reliability of vehicle door closing state judgment are improved.