A high-accuracy dynamic weighing system based on single-idler conveyor belt

This paper is aimed at the correction on dynamic measurement errors. It analyzes the cause of errors, normalizes errors, and builds a mathematical model for dynamic measurement errors of single-idler electronic belt conveyor scale. According to the model, the proposed approach uses neural network method to correct errors. To extend the application, with SPC3 chip, this approach adds a PROFIBUS-DP communication interface for the dynamic weighing system. The result has shown the measurement errors are effectively reduced, and the measurement accuracy can up to 0.2%. The method presented in this paper is characterized by moderate computation and high application value.