Method and device for carrying out early warning on network performance
A network performance and early warning device technology, applied in the field of wireless technology, can solve problems such as low early warning accuracy, restrict early warning accuracy, and wrong early warning information, so as to improve accuracy and avoid omissions
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Embodiment 1
[0020] figure 1 It is a flow chart of Embodiment 1 of the network performance early warning method of the present invention. Such as figure 1 As shown, Embodiment 1 of the network performance early warning method includes the following steps:
[0021] Step 102, collecting current network performance index data in real time;
[0022] Step 103, calculating the benchmark value of the dynamic warning threshold according to the sample space of the historical network performance index data;
[0023] The historical network performance index data can be extracted from the OMC, or stored in the network performance early warning device, such as call drop rate, congestion rate, wireless connection rate, or network-wide handover success rate, etc., and the historical network performance The index data is used as the sample space, and the current network performance index data is collected at the same time;
[0024] Since the historical network performance index data may contain data o...
Embodiment 2
[0033] Preferably, in step 104 of this embodiment, two layers of tolerance lines can be used to form a dynamic warning threshold, and plus or minus 2σ is taken as the tolerance range for general warnings, and plus or minus 3σ is taken as the tolerance range for important warnings. For performance indicators (such as call drop rate, congestion rate, etc.), the smaller the value, the better the network operation, select the upper tolerance line, μ+2σ and μ+3σ; the larger the value, the better the performance of the network operation Indicators (such as wireless connection rate, network-wide handover success rate, etc.), select the tolerance line μ-2σ and μ-3σ below it.
[0034] In this embodiment, the dynamic warning threshold is set through the "3σ" rule of the normal distribution theory. The warning threshold is not a fixed value set artificially, but changes in real time. The setting of the dynamic early warning threshold makes the judgment of abnormal network performance mor...
Embodiment 3
[0036] More preferably, in step 104, the dynamic early warning threshold can be divided into multiple levels, corresponding to different early warning levels:
[0037] 1. For example, classify the dynamic warning thresholds according to the warning levels of "important (yellow)" and "general (blue)". When the network performance index is higher than the upper tolerance line μ+2σ, but lower than μ+3σ (or lower than the lower tolerance line μ-2σ, but higher than μ-3σ), the "general (blue)" warning level is adopted; when When the network performance index is higher than the upper tolerance line μ+3σ or lower than the lower tolerance line μ-3σ, the “yellow (important)” warning level is adopted.
[0038] 2. Further set the two-level static warning thresholds of "red (emergency)" and "orange (serious)", that is, set the evaluation values of various performance indicators in the operator's management requirements for network operation as the static thresholds for serious warnings, ...
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