In order to solve the problems of high intensity, low collecting efficiency, poor information real-time performance and low precision in the calf weighing process, a kind of dynamic calf weighing system was designed. It was based on moving-IIR by establishing a test platform to verify filter algorithm. The software MATLAB was applied to design the moving average filter algorithm, IIR filter algorithm and moving-IIR filter algorithm, respectively, to process and analyze the dynamic data collected in slow, violent and slow-violent states of calves. Test results showed that, the error rates of moving-IIR filter algorithm in slow, violent and slow-violent states of calves were within 1.12%, 0.32% and 2.82%, which were lower than that of moving-average filter algorithm and IIR filter algorithm. In slow state of calves, the moving-IIR filter was not very smooth. In violent and slow-violent states of calves, the standard deviations were within 1.1126 and 1.1520, showing significant smoothness. The study showed that, information collection system based on moving-IIR filter algorithm has fully taken the stability of moving filter and dynamic nature of IIR filter into consideration and had advantages of low error rate and high stability. Therefore, it can realize real time precise collection, display, storage and historical data query of weight information.

中文翻译：

---

基于Moving-IIR滤波器算法的动态犊牛称重系统设计

为解决犊牛称重过程中强度高、采集效​​率低、信息实时性差、精度低等问题，设计了一种动态犊牛称重系统。它基于moving-IIR，通过建立测试平台来验证滤波器算法。应用MATLAB软件分别设计了移动平均滤波算法、IIR滤波算法和moving-IIR滤波算法，对小牛在慢、猛、慢-暴力状态下采集的动态数据进行处理和分析。测试结果表明，移动IIR滤波器算法在小牛慢速、猛烈和慢速猛烈状态下的错误率分别在1.12%、0.32%和2.82%以内，低于移动平均滤波算法和IIR滤波器算法。在小牛缓慢的状态下，移动 IIR 滤波器不是很平滑。犊牛在暴力和缓慢暴力状态下，标准偏差在1.1126和1.1520之间，表现出明显的平滑性。研究表明，基于移动IIR滤波器算法的信息采集系统充分考虑了移动滤波器的稳定性和IIR滤波器的动态特性，具有低误码率和高稳定性的优点。因此，它可以实现重量信息的实时精确采集、显示、存储和历史数据查询。基于移动IIR滤波器算法的信息采集系统充分考虑了移动滤波器的稳定性和IIR滤波器的动态特性，具有低误码率和高稳定性的优点。因此，它可以实现重量信息的实时精确采集、显示、存储和历史数据查询。基于移动IIR滤波器算法的信息采集系统充分考虑了移动滤波器的稳定性和IIR滤波器的动态特性，具有低误码率和高稳定性的优点。因此，它可以实现重量信息的实时精确采集、显示、存储和历史数据查询。