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        Design of Dynamic Calf Weighing System Based on Moving-IIR Filter Algorithm

        Meng Hewei,Luo Jinjun,Li Shenglin,Qi Jiangtao,Wenwen Zhao,Li Yaping 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2

        In order to solve the problems of high intensity, low collecting effi ciency, 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 fi lter algorithm. The software MATLAB was applied to design the moving average fi lter algorithm, IIR fi lter algorithm and moving-IIR fi lter 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 fi lter 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 fi lter algorithm and IIR fi lter algorithm. In slow state of calves, the moving-IIR fi lter was not very smooth. In violent and slow-violent states of calves, the standard deviations were within 1.1126 and 1.1520, showing signifi cant smoothness. The study showed that, information collection system based on moving-IIR fi lter algorithm has fully taken the stability of moving fi lter and dynamic nature of IIR fi lter 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.

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