Research On Advanced Data Processing Based Smart Load Cell

Digitalization and intelligence are hot topices of transducer research and form animportant foundation for high-tech developments. Systematic research on errorcompensation, data processing, and fault diagnosis of an intelligent, digital load celltransducer are presented in this paper. Main works and creative conclusions are presentedas follows: 1. By systematically analyzing error formation and application of load cells, a highperformance intelligent digital load cell based on advanced data processing is developed.New flexible data processing methods based on new achievements of fuzzy mathematics,artificial intelligence and Gray theory are employed in the transducer design so that thecomplicated, low accuracy modeling in traditional designs can be avoided. These newmethods are suitable for high accuracy, up to OIMLC6. 2. A function link neural network was employed according to the characteristic ofthe nonlinear error and temperature error. The neural network compensation of the aboveerrors was achieved via micro controller. Results in this paper indicate that with abovecompensation the accuracy of a transducer could be improved greatly. Because of thesimplicity, reliability and flexibility of the above compensation algorithm, it is suitable formass production of load cells. 3. Fuzzy theory was applied to load cell creep compensation according to thecharacteristic of creep error. A new concept of creep fussy on-line compensation methodis presented. The result shows that this method is simple and reliable. It works well and canbe easily implemented through hardware. 4. Based on the digital load cell, a new smart weighing system is proposed in thispaper. Some intelligent characteristics such as free calibration, self- diagnostics, run flat,load cell fault prediction, have been discussed and some are realized. These functions aresignificant for weighing applications. 5. A new kind of load cell soft fault prediction method by the application of Graytheory to weighing is discussed in this paper. By using this method the reliability of asystem has been improved and it has a potential future in the field of measurement.