基于RKF-EMD的禽类无线动态自适应称重系统

针对禽类养殖过程中人工称重费时费力、造成动物应激以及电子仪器易被破坏等问题，设计了一套适用于禽类的无线动态自适应称重系统。系统将经验模态分解和鲁棒卡尔曼滤波结合并做出适应性改进；针对秤台因粪便和饲料堆积造成的称重零点偏移问题，创新性提出了一种基于队列的自动去皮算法。通过在肉鸡养殖场实际应用和监测验证，结果表明，本文设计的适用于禽类的无线动态自适应称重系统能够快速准确地获得动物体重，且具有良好的自适应性、稳定性和鲁棒性。

Poultry wireless dynamic adaptive weighing system based on RKF-EMD

To solve the problems of artificial weighing, which is time-consuming and laborious, easy to cause animal stress, and electronic instruments are easy to destroy in the process of poultry breeding, a set of wireless dynamic adaptive weighing systems is designed in this paper. The system combines empirical mode decomposition and robust Kalman filter to improve the algorithm and proposes an innovative queue-based automatic peeling algorithm to solve the weighing zero offset problem caused by feces and feed accumulation. Through the practical application and monitoring verification in broiler farms, the results show that the wireless dynamic adaptive weighing system designed in this paper can obtain animal weight quickly and accurately, and has good adaptability, stability, and robustness.