基于eemd的动态动物称重融合算法研究

Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering Pub Date : 2019-12-06 DOI:10.1145/3386415.3387025

Fang Tian, Han Tan, Cheng Zhang, Yong Zhou, Y. Yao

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引用次数: 0

摘要

在动物体重测量中，由于动物的运动是不可控的，很难获得动物的静态体重。针对动物称重中体重数据不准确的问题，提出了一种基于eemd的动态动物称重融合算法。以湖羊为实验对象，进行实验验证。结果表明，该算法能在8s的测量过程中获得实际权重，且测量权重误差小于1%。

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A Study of EEMD-Based Dynamic Animal Weighing Fusion Algorithm

In animal weight measurement, as animal movements are uncontrollable, it's difficult to obtain static weight of the animal. An EEMD-based dynamic animal weighing fusion algorithm was proposed in this paper to solve the problem of inaccurate weight data in animal weighing. Huyang sheep taken as experimental objects, experimental verification was carried out. The results indicate that the proposed algorithm can obtain the actual weight in the 8s measurement process, and the error of the measured weight is smaller than 1%.

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Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering

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