Method and system for locating mobile Internet data service quality degradation
A mobile Internet and data service technology, applied in the field of mobile Internet data service quality degradation positioning, can solve problems such as low efficiency, lack of scientific demonstration of rationality, poor positioning accuracy, etc., and achieve the effect of improving accuracy
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Embodiment 1
[0052] figure 1 A schematic flowchart of a method for locating mobile Internet data service quality degradation provided by Embodiment 1 of the present invention is shown.
[0053] refer to figure 1 According to Embodiment 1 of the present invention, a method for locating mobile Internet data service quality degradation specifically includes the following steps:
[0054] 101. Acquire a KQI sequence within a measurement time period from a KQI monitoring system, the measurement period includes a degradation time point, and the KQI sequence includes a KQI measurement value corresponding to each measurement time point within the measurement period.
[0055] In this step, for the measurement time period where the possible degradation time point corresponding to a KQI degradation problem is located, the KQI sequence is obtained from the KQI monitoring system, and the KQI sequence corresponding to each measurement time point in the measurement time period can be obtained in a target...
Embodiment 2
[0064] For a better understanding of the present invention, the method in this embodiment also includes the second embodiment.
[0065] In Embodiment 2 of the present invention, all the steps of the above-mentioned Embodiment 1 are included, wherein, Step 103 of the method of the above-mentioned Embodiment 1 also includes sub-steps not shown in the following figures, and the Step 103 includes:
[0066] 1031. Use Formula 1 to obtain the first correlation coefficient r i ;
[0067] Formula one:
[0068]
[0069] In the formula, Q is the KQI sequence Q={q 1 ,q 2 ,...,q N},q j Indicates the jth KQI measurement value, P i is the KPI sequence P i ={p i1 ,p i2 ,...,p iN}, i represents the i-th KPI, p ij Indicates the jth measurement value of the i-th KPI, N indicates the length of the sequence, and N is a natural number greater than 2.
[0070] In this step, the correlation analysis formula can be used to analyze the KQI series and each group of KPI series, according t...
Embodiment 3
[0078] For a better understanding of the present invention, the method of this embodiment also includes Embodiment 3.
[0079] In Embodiment 3 of the present invention, all the steps of Embodiment 1 and Embodiment 2 above are included, wherein, after Step 1033 of the method of Embodiment 2 above, Step 104 of the method of Embodiment 2 above also includes steps not shown in the following figure Substeps:
[0080] 1041: Sort the second correlation coefficients in the second correlation coefficient set from large to small.
[0081] It should be noted that the second correlation coefficient is obtained after being adjusted by the first correlation coefficient. Therefore, the closer the second correlation coefficient is to 1, the more relevant KQI degradation is to the KPI corresponding to the second correlation coefficient.
[0082] 1042: Select the KPI corresponding to the Xth second correlation coefficient as the Xth most important cause corresponding to the degradation time po...
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