基于改进卡尔曼滤波器的流量测量方法、装置及电子设备

By improving the smoothing exponential weighting factor and robust loss function of the Kalman filter, the problem of limited measurement accuracy of the traditional Kalman filter algorithm in high dynamic flow environments is solved, and higher flow measurement accuracy and stability are achieved.

CN120352004BActive Publication Date: 2026-07-17ZHEJIANG HEDA TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG HEDA TECH
Filing Date
2025-04-07
Publication Date
2026-07-17

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Abstract

本说明书实施例公开了一种基于改进卡尔曼滤波器的流量测量方法、装置及电子设备。其中，该方法包括基于平滑指数加权因子，对卡尔曼滤波器的状态更新方程中的残差修正量进行补偿，平滑指数加权因子由上一时刻的平滑指数加权因子以及临时权重因子进行加权计算得到，临时权重因子由至少一个基于鲁棒损失函数计算得到的第一权重值和至少一个基于平滑函数计算得到的第二权重值之间的平均值计算得到；以及基于补偿后的卡尔曼滤波器，对当前时刻的测量数据进行卡尔曼滤波预测，以根据预测结果确定流量。本说明书实施例既能鲁棒地抑制异常值，又能平滑过渡，确保跟踪响应及时且输出平稳，进而提高在复杂且不规则的流量变化环境中的测量准确性。
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