一种基于证据融合机制的声学液位估计新方法

CONVERTER Pub Date : 2021-01-01 DOI:10.17762/converter.214
Zhenghui Li, Et al.
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引用次数: 0

摘要

为了减少声共振液位检测带来的漏检误差和系统误差,设计了基于证据融合机制的液位估计方法。建立了驻波长的二维动态系统模型。通过证据的随机集描述获得波长的状态证据,并利用随机集的可拓原理获得波长的观测证据。利用证据推理规则和相关证据融合对这些证据进行融合,并根据皮格尼希期望从融合结果中计算出液位估计值。相应的液位估计实验验证了该方法的有效性和可行性。
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A novel Acoustic Fluid Level Estimation Method Based on Evidence Fusion Mechanism
In order to reduce the missed detection error and the systematic error caused by acoustic resonance fluid level detection, liquid level estimation method based on evidence fusion mechanism is designed. It establishes a two dimensional dynamic system model of the standingwavelength. The state evidence of wavelength is obtained through the random set description of evidence, and the extension principle of random set is used to get the observation evidence ofwavelength. The evidential reasoning (ER) rule and dependent evidence fusion are used to fuse those evidence, and the estimation value of fluid level can be calculated from fused result based on pignistic expectation. The corresponding liquid level estimation experiment illustrates the validity and feasibilityof the proposed method.
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