Chengdu Xinjin Mobile Company System Desing And Implementation Of Traffic Data Statistical Analysis

Under the current fourth generation mobile communication technology of formal commercial situation, mobile operators have no longer satisfied with the original based on OMC(Operation and Maintenance Center) simple bias in the network monitoringplatform, began to shift to the business type. Network equipment providers, system integrators in the communication of China Mobile GSM, TD SCDMA, TDD-LTE under the situation of the co-existence of multiple network traffic statistics, there is no complete commercial analysis platform, and more to move the existing EIP, EOMS system seamlessly sync, compatibility.Statistics and analysis of the volume of business with the transformation of more and more attention has been paid to the mobile operators, the development and the trend toward the development of business volume is more intuitive and effective embodiment of the market, business volume forecast analysis result is directly related to the development direction of next stage. But in the whole communication industry network operation statistics and analysis of the volume of business is still in a relatively backward stage, no complete theoretical system and commercial system to support the data statistics and analysis, more is the use of historical data comparison and network optimization experience forecast, statistical tables, backward analysis model, therefore, the latest statistics gathering sample data mode and analysis of the algorithm is the core content of the system, the emphasis and difficulty of business statistics analysis.The subject for different network system of Xinjin mobile network, using hours for the volume of business unit is the minimum sample statistical analysis. Establish the business model is complete according to different times, different coverage area, bursts of activity, cyclical factors such as holiday, and used traditional statistical analysis method and Calman filter 24 hour prediction based on data analysis of comparative study.The research contents include the time axis cycle analysis, trend analysis, traffic model to study Mandarin, holiday traffic model research, analysis of regional types of coverage analysis, spatial axis of the regional network. According to the forecast algorithm extrapolated the trend of several common classic: exponential regression algorithm, polynomial regression algorithm and Calman filter algorithm predictions are compared, based on sample analysis, and applies the theory of statistical test comparison. According to the system of statistics and analysis, the distribution of network traffic, provide a full range of trends, types of proportion with the results, the realization of real-time operators grasp the current user demand change and market orientation. According to the statistical analysis of traffic, optimizing the network configuration to provide effective guidance and investment decision making.According to the present situation of Xinjin branch, using the framework of web ThinkPHP, to provide database support Mysql, design and implementation of B/S system according to the volume of business software development process of the statistical analysis of Xinjin.