Design of Dynamic Calf Weighing System Based on Moving-IIR Filter Algorithm
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ORIGINAL ARTICLE
Design of Dynamic Calf Weighing System Based on Moving‑IIR Filter Algorithm Wenwen Zhao1,2 · Jinjun Luo3 · Shenglin Li1,2 · Jiangtao Qi1,2 · Hewei Meng1,2 · Yaping Li1,2 Received: 18 May 2020 / Revised: 17 September 2020 / Accepted: 1 November 2020 © The Korean Institute of Electrical Engineers 2020
Abstract 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. Keywords Calves · Dynamic weighing · Filter algorithm · System design
1 Introduction With the development of science and technology, traditional cow breeding methods are becoming more modernized, intelligent and precise [1, 2]. As the reserve resource of dairy farms, individual information collection of calves serves as the basis for precision breeding. Weight is one of the growth indexes that reflect the growth and production Electronic supplementary material The online version of this article (https://doi.org/10.1007/s42835-020-00604-5) contains supplementary material, which is available to authorized users. * Hewei Meng [email protected] Jiangtao Qi [email protected] 1
College of Electrical Engineering, Shihezi University, Shihezi 832000, China
2
Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832000, China
3
Agricultural Technology Promotion Station, First Division of Xinjiang Production and Construction Corps, Shihezi 832000, China
performance of calves [3, 4]. Traditional method of weighing calves is static weighing, in which calves are driven to a fenced weighing scale to record their weight when they are in static state [5]. This method requires intensive labor force and can easily arouse calves’ overreaction. Moreover, the data it collected has large errors and is no
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