Abstract:The system measuring accuracy and quality of the mixed concrete of concrete central mixing station are essential for adding of intelligent material and fiber material. Neural networks, with their remarkable ability to derive meaning from complicated, imprecise nonlinear input output data, can be used to extract patterns and detect trends that are dynamically continuous change.. Therefore, in this article BP Neural Network is applied to map the input output relation of the weighting system for concrete central mixing station so that the inputs can be accurately measured. The system measuring accuracy and quality of the mixed concrete of concrete central mixing station are increased.