A Method of Abnormal Judgment and Repair Based on Energy Statistical Data
A statistical data and abnormal judgment technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve energy management-related system data statistical value is worthless, data reporting value misalignment, environmental data abnormality, etc. problems, to avoid missing statistical data, reduce rewriting, and improve data quality
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[0024] The method will be described below in conjunction with the accompanying drawings. Such as figure 1 As shown, first judge whether the original data aN of the granularity N is obtained, and if it is obtained, analyze the original data; Abnormal attribute flag=1, because the data of aN is not obtained, so when calculating the adjacent statistical value of granularity N, the adjacent granularity statistical value of granularity N=0 and the adjacent granularity (N+1) are preset Granularity statistical data value (N+1) = 0, the default purpose is that when the system detects that the adjacent granularity statistical value is 0, it can confirm that the data of this granularity is empty for repair. When the data is not obtained, obtain the sampling data aK of the last granularity K that can be obtained recently; obtain the ratio of the adjacent granularity statistics of the granularity K' and N' corresponding to the time in the previous period; if the previous period is obtain...
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