A new detecting method based on soft sensor technology is introduced to solve the problem of sulfuric acid concentration on-line detection. The method completes on-site data acquisition and data preprocessing, establishes the soft-sensor model based on RBF neural network and verifies the model on experimental platform. The result shows that the model obtains accurate sulfuric acid mass fraction, which guides production effectively and has good application prospect.