Sampling abnormal large value filtering method, device and system based on adaptive iterative operation mathematical morphology method
An adaptive iterative, mathematical form technology, applied in emergency protection data processing devices, measuring devices, circuit devices, etc., can solve problems such as abnormally large sampling of substation protection devices, and achieve the effect of reducing adverse effects
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Embodiment 1
[0043] In the embodiment of the present invention, a sampling abnormality based on an adaptive iterative operation mathematical form method is provided, such as figure 1 As shown, specifically includes the following steps:
[0044] According to the original sampling buffer data, the waveform smoothness is calculated, and it is determined whether the waveform is abnormal; the original sampling buffer data can be selected by the transformer transformer transformer by the substation of the substation of the present invention. Voltage signal or current signal;
[0045] The method of determining an abnormal waveform is used to determine the waveform of the adaptive iterative operation, and the residual noise energy ratio is calculated, and it is determined whether there is a sampling abnormality in the waveform; it is determined that there is a waveform of the sampling abnormality After filtering out the abnormal large value, get the restored signal, and update the original sampling bu...
Embodiment 2
[0072] Based on the same inventive concepts as in Example 1, the present invention provides a sampling abnormal large value filtering apparatus based on adaptive iterative operation mathematical form, including:
[0073] The determination module is used to calculate the smoothness of the waveform according to the original sampling buffer data, and determine if the waveform is abnormal;
[0074] The abnormal filtering module is used to use the adaptive iterative operation mathematical form method to determine the waveform of the abnormality to perform one or more iterative operations; calculate the residual noise energy ratio, and determine if the waveform is indeed, there is a sampling unusual value; There is a waveform of the sample abnormality, filter out the abnormal value, get the restored signal, and update the original sampling buffer data.
[0075] The rest are the same as in Example 1.
Embodiment 3
[0077] Based on the same inventive concepts as in Example 1, an embodiment of the present invention provides a sampling abnormal large value filtering system based on an adaptive iterative operation mathematical form method, including a storage medium and a processor;
[0078] The storage medium is used to store instructions;
[0079] The processor is used to operate according to the instruction to perform the method according to any one of Embodiment 1.
[0080] In summary, the present invention determines whether or not the sample abnormal large value filter is adapted by calculating the waveform of the sampling buffer data, and determines whether or not the sampling abnormality is filtered, and obtains a mathematical method structure element size, the method is obtained according to the waveform smoothness value. Continuous adaptive iterative computing mathematical form method processing in the sampling data buffer is easy to implement and applied on the means. At the same time...
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