The paper first puts forward a total risk premonition index system, and based on RBF neural network, it sets up a total risk premonition model of property insurance company. Then it discusses plans to deal with warning signals. Finally, it applies this neural network to predicting financial crisis of property insurance company. The result is highly accurate and satisfying, and shows that the neural network exhibits good generalization ability.