一种新型无线智能称重系统的设计研究

发布时间：2019-05-24 22:48

【摘要】：作为一种重要的计量设备,称重系统在工业、农业、医疗、交通等众多领域得到广泛应用。同时,随着智能测控与无线通信技术的快速发展,各领域对称重系统的可靠性、精确度,以及无线传输、智能化等功能也有了更高的需求。本文提出了一种新型无线智能称重系统的设计方案。该系统以微处理器为核心,由数据采集、模数转换、存储单元、无线发送与接收模块、红外模块、控制模块和显示模块组成。无线发送与接收模块能在短距离内代替有线电缆的连接,实现称重数据的无线传输与监控功能。通过将红外遥控、控制键盘与软件编程相结合,完善了称重系统的信息处理、自主校准、参数设置与数据存储等功能。另外,针对系统掉电测量数据丢失问题,提出了一种具有数据保护功能的电源开关机电路,并有效地降低了称重系统的功耗。针对称重传感器采集数据过程中干扰信号对电子称重系统测量精度的影响,将限幅滤波法、中位值滤波法、滑动平均滤波法相结合,提出了既可消除采集数据中偶然性脉冲,又可抑制周期性干扰的改进型限幅平均滤波算法,结合非线性补偿,有效的提高了称重系统的测量精度。通过5kg~50 kg重量范围内8组不同目标重量的测量实验,对系统的功能、精确度,以及灵敏度、重复性与迟滞性等指标进行了分析与测定。实验结果表明,系统能够实现信息采集、自主校准、参数设置与数据存储等所有设定的功能,最大测量误差率为0.1%,具有很高的精确度与稳定性;实验测定该系统的灵敏度约为0.1mV/kg,重复性误差为0.32%,最大迟滞引用误差为0.16%,具有良好的输入/输出特性。此外,无线传输距离在无障碍范围内达到二百米,性能达到了设计要求。通过将使用与未使用改进型限幅平均滤波算法的无线智能称重系统进行对比测试和分析,结果表明,使用改进型限幅平均滤波法后系统的最大误差率由0.9%降至0.1%,比未使用该算法的系统精度提高了9倍,有效的抑制了干扰信号,提高了系统精度。
[Abstract]:As an important metering equipment, weighing system has been widely used in industry, agriculture, medical treatment, transportation and many other fields. At the same time, with the rapid development of intelligent measurement and control and wireless communication technology, the reliability, accuracy, wireless transmission, intelligent and other functions of symmetric heavy system in various fields also have higher requirements. In this paper, a new design scheme of wireless intelligent weighing system is proposed. The system is based on microprocessor and consists of data acquisition, analog-to-digital conversion, memory unit, wireless sending and receiving module, infrared module, control module and display module. The wireless transmission and receiving module can replace the cable connection in a short distance to realize the wireless transmission and monitoring of weighing data. By combining infrared remote control, control keyboard and software programming, the functions of weighing system, such as information processing, independent calibration, parameter setting and data storage, are improved. In addition, a power switch circuit with data protection function is proposed to solve the problem of power loss measurement data loss in the system, and the power consumption of the weighing system is effectively reduced. In view of the influence of interference signal on the measurement accuracy of electronic weighing system in the process of data acquisition by weighing sensor, the limiting filtering method, the median filtering method and the moving average filtering method are combined to eliminate the accidental pulse in the collected data. The improved limiting average filtering algorithm, which can suppress periodic interference, combined with nonlinear compensation, effectively improves the measurement accuracy of weighing system. Through the measurement experiments of eight groups of different target weights in the weight range of 5kg~50 kg, the function, accuracy, sensitivity, repeatability and lag of the system were analyzed and measured. The experimental results show that the system can realize all the functions of information collection, independent calibration, parameter setting and data storage, and the maximum measurement error rate is 0.1%, which has high accuracy and stability. The sensitivity of the system is about 0.1 MV 鈮，

本文编号：2485252