| CPC G01H 9/00 (2013.01) | 16 Claims |
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1. A method for estimating structural vibration in real time, applied to a computer device, comprising:
acquiring a to-be-estimated measuring point of a to-be-measured structure, and determining at least one target measuring point associated with the to-be-estimated measuring point, wherein the to-be-measured structure is a device having a requirement of vibration parameter estimation and the computer device is installed in the to-be-measured structure;
determining coordinates corresponding to each target measuring point of the at least one target measuring point, a target mode corresponding to the each target measuring point and a target vibration parameter corresponding to the each target measuring point;
determining a mode vibration parameter of the to-be-estimated measuring point and an interpolation vibration parameter of the to-be-estimated measuring point based on the to-be-estimated measuring point and in combination with the target mode of the each target measuring point, the target vibration parameter of the each target measuring point and the coordinates of the each target measuring point; and
determining an estimated vibration parameter of the to-be-estimated measuring point according to the mode vibration parameter and the interpolation vibration parameter;
further comprising:
acquiring a data file, processing the data file according to a predetermined file attribute feature, and determining at least one raw data set, wherein each raw data set of the at least one raw data set corresponds to a structure measuring point of the to-be-measured structure;
selecting one structure measuring point from the at least one structure measuring point of the to-be-measured structure as a current selected structure measuring point;
filtering out an alternative data set associated with the current selected structure measuring point from the at least one raw data set, and determining a structure measuring point corresponding to the alternative data set as an association measuring point;
establishing a corresponding relationship between the current selected structure measuring point and each association measuring point; and
returning to the operation of selecting the current selected structure measuring point until all structure measuring points are selected;
accordingly, acquiring the to-be-estimated measuring point of the to-be-measured structure, and determining the at least one target measuring point associated with the to-be-estimated measuring point, comprises:
acquiring, from the structure measuring points, the to-be-estimated measuring point of the to-be-measured structure, and determining, from the structure measuring points, the at least one target measuring point associated with the to-be-estimated measuring point;
wherein filtering out the alternative data set associated with the current selected structure measuring point from the at least one raw data set comprises:
determining a to-be-selected raw data set corresponding to the current selected structure measuring point, and determining a measuring point raw data set corresponding to each of remaining structure measuring points;
aligning data in the to-be-selected raw data set with data in the measuring point raw data set;
determining a correlation coefficient of the aligned to-be-selected raw data set and the aligned measuring point raw data set;
filtering out a preset number of alternative correlation coefficients from correlation coefficients; and
using a measuring point raw data set corresponding to the preset number of alternative correlation coefficients as the alternative data set.
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