Database-based telephone traffic analysis and prediction system and telephone traffic prediction method using same
A technology of forecasting system and forecasting method, which is applied in the field of traffic analysis and forecasting system, can solve the problems of low forecasting accuracy and low data utilization rate, and achieve the effect of high forecasting accuracy and high data utilization rate
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specific Embodiment approach 1
[0015] Specific embodiment one: the traffic analysis and prediction system based on the database of the present embodiment, it comprises database unit 1 and prediction function unit 2, see figure 1 ,
[0016] The database unit 1 is used to periodically obtain raw data from an external server through the FTP protocol in the form of an automatic script, and complete data cleaning after importing the raw data, and is used to provide The traffic data of different time scales and different spatial scales is used to receive and save the forecast result data output by the SAS forecasting functional unit 2, and is also used to provide external data interfaces;
[0017] The SAS prediction function unit 2 is used to read the data to be processed from the database unit 1 and store the data results, to predict the traffic volume by using time series analysis technology, and to send the prediction result data to the database unit 1 .
[0018] SAS (Statistical Analysis System) is a statist...
specific Embodiment approach 2
[0039] Specific implementation mode two: combination Figure 6 Describe this embodiment, this embodiment is to use the traffic forecasting method of the database-based traffic analysis and forecasting system of the first embodiment, and its process is as follows:
[0040] Step 1, SAS prediction function unit 2 reads the traffic data in the database unit 1, imports the required recording time, cell name, and traffic data into the logic library of the SAS prediction function unit 2, and performs as required Data format conversion to generate traffic data sets;
[0041] Step 2, the SAS prediction function unit 2 searches for the missing period of the traffic data set obtained in step 1, and performs data filling processing on the missing period, and obtains the traffic data set after the data filling process;
[0042] Step 3, SAS prediction function unit 2 carries out model identification to the traffic volume data set obtained in step 2, obtains the model structure that the tra...
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