Research On The Realization Of Wireless Weighing System Based On Android

As society enters the smart era,the system as an important equipment in the field of measurement,follows the modern development direction,moving from traditional devices to being smart,mobile,and convenient,so that it meets the development requirements of the smart era in the process of innovation.The weighing system needs to continuously improve the real-time and accuracy of the measurement data,and at the same time try to solve the problems of poor mobility and low flexibility of the weighing system during the measurement process.Combining the weighing system with the wireless transmission technology to realize the setting of the measurement parameters of the symmetrical weighing system and the remote detection and storage of the measurement data,a wireless weighing system based on Android is proposed.The wireless weighing system includes two parts: weight data collection device and mobile control terminal application program based on Android system.Among them,the weight data collection device is composed of a weighing sensor,an A/D conversion module,a microprocessor,a storage module,a display module,a wireless module,and an infrared module.As a physical part of the wireless weighing system,the weight data acquisition device provides a hardware environment for the measurement control of the wireless weighing system.The mobile control terminal application can effectively solve the shortcomings of the wired connection.The software application can be operated on the smartphone side,so that the parameters of the symmetric weight measurement are set,and the symmetric weight data are displayed and saved,and finally the wireless weighing system is realized.And make the measurement operation more convenient.Aiming at the error problems caused by impulse interference and Gaussian white noise in the signal acquisition of the weighing system,a new Kalman filter algorithm is proposed to process the collected signal.This algorithm combines the advantages of multiple filter algorithms while being able to Well avoid the defects of various algorithms.The new Kalman filter algorithm first performs threshold filtering and anti-pulse interference filtering on the signal.Its design principle is to continuously optimize the contrast value in the thresholdfiltering during the anti-pulse interference filtering process,thereby eliminating non-periodic pulse signals with large interference amplitudes.Then the signal is sent to the next stage filter for time and measurement update,thereby suppressing the Gaussian white noise contained in the process of collecting the signal,effectively improving the accuracy of the weighing system.It is known through experiments that the sensitivity of the weighing system is about0.15 m V/kg within the measurement range,and its maximum repeatability error and maximum hysteresis error are 0.24% and 0.08%,respectively.After the algorithm parameters were determined,20 times of weighing experiments with or without the new Kalman filter algorithm were carried out by using 30 kg weights respectively.The maximum difference of the experimental results was 0.09 kg,and the accuracy reached 99.7%.Through the measurement experiment of 10 groups of different weights,it can be seen that after the new Kalman filter,the measurement result error is below 0.4%,which is 4.5 times higher than the system accuracy using the traditional Kalman filter algorithm.In addition,through the overall debugging of the system,the results show that the mobile control terminal application based on Android can realize the wireless data transmission function,and the transmission distance within the unobstructed range is about 200 meters,which meets the needs of the remote transmission of the weighing system.