Filtering processing of belt scale signal based on MATLAB

The weighing accuracy is an important index of electronic belt scale. It is difficult to achieve accurate measurement due to the influence of environmental temperature and humidity, belt tension and mechanical vibration. The filtering algorithm is introduced into the belt scale data acquisition and processing system. By filtering the collected data can eliminate or reduce the system error and improve the weighing accuracy. By studying the composition structure, weighing principle and error source of belt scale weighing system to analyze and test three filtering algorithms. By comparing the experimental data, an improved adaptive filter algorithm can play a better role and improve the weighing accuracy. It is important to improve the dynamic weighing accuracy of electronic belt scale and reduce the error.