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METHOD SYSTEM AND COMPUTER DEVICE FOR PREDICTING A CAPACITY BASED ON KALMAN FILTER

机译:基于卡尔曼滤波器的容量预测方法系统和计算机装置

摘要

An embodiment of the present invention provides a capacity prediction method, system and computer apparatus based on a Kalman filter, the method comprising: obtaining a capacity time sequence to be predicted; and determining a kinetic model for the capacity time sequence And extracting a state transition parameter and a process noise parameter of the dynamic model; and performing Kalman filter estimation on the capacity time sequence using the state transition parameter and the process noise parameter to generate at least one state characteristic signal Segmenting the capacity time sequence based on the at least one state characteristic signal and determining at least one corresponding segment point; and based on the at least one segment point determined in the capacity time sequence, And estimating the capacity at a future time. The technical solution of the present invention realizes an accurate prediction of the capacity increase and allows the maintenance personnel to easily establish a reasonable capacity expansion plan.
机译:本发明实施例提供了一种基于卡尔曼滤波器的容量预测方法,系统和计算机装置,该方法包括:获取待预测的容量时间序列;确定所述容量时间序列的动力学模型,并提取所述动力学模型的状态转移参数和过程噪声参数;并使用状态转移参数和过程噪声参数对容量时间序列进行卡尔曼滤波估计,以产生至少一个状态特征信号。基于至少一个状态特征信号对容量时间序列进行分割,并确定至少一个对应的分段点;并且基于所述容量时间序列中确定的所述至少一个分段点,并估计未来时间的容量。本发明的技术方案实现了对容量增加的准确预测,并使维护人员能够容易地建立合理的容量扩展计划。

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