The Research And Design Of The Intelligent Electronic Belt Scales

As the development of the sensor technology, instrumentation technology, electronic belt technology, computer technology, embedded technology, and technical integration, weighing technology also has been greatly developed, weighing devices also have great progress in intelligent, automated, digital direction, fast, accurate, convenient, efficient, functional diversity, and can adapt to dynamic weighing device research and development has entered a new stage. Modern weighing device is not only display the weight of the devices, but also an important part of industrial automation control and modern business management.Modern multi-use belt scale weighing devices are widely used in mining, coal, logistics, chemical industry, which experienced a mechanical belt scale, belt weigher electromechanical, electronic belt scale, belt weigher new type of microprocessor, microcontroller-controlled The electronic belt as well as emerging embedded belt scales.The international level sensor technology, electronic technology and other fields belt already had many advanced research results, weighing devices also have mature products. In our country, sensor technology, electronic belt technology, weighing devices, as well as theoretical studies has a certain gap with the international advanced level. The continuous development of new technologies and the demand of the market requires us to increase the electronic belt research. Therefore, design a full-featured, low cost, in line with China's national conditions based on the embedded belt scale is an important issue what we need to study.This article is mainly research and design of the ARM-based electronic belt weighers, first introduced the development of electronic belt at home and abroad, and then use the fuzzy PID control theory carry on the electronic belt scale theoretical studies and hardware selection and design. Using ARM9 embedded processor and Linux system, apply the niche genetic algorithm to the fuzzy PID control to improve the shortcomings of the traditional genetic algorithm, and better optimization of parameters, adjust motor speed to achieve a professional flow control. Simulation results show that, compared with the conventional genetic-fuzzy PID control method, has better self-adaptability and greater robustness and reliability.