Research On Key Technologies Of Multi-service High-efficiency Processing Of Power User Electric Energy Data Acquire System

As a system of collecting,processing and real-time monitoring electricity information among energy consumers,power user electric energy data acquire system shoulders the task of cooperating with services among multiple external systems and provides data support for its information interaction and data sharing.However,with the magnanimity growth of current energy consumers and the comprehensive promotion and deepen innovation of deployment of the operation system,power user electric energy data acquire system in the efficiency of processing service is affected,and then it can not give full play to its basic supporting function,and meet its requirement of high efficient processing service.Therefore,it has a certain significance to study the factors that affect the efficiency of coprocessing muti service for the power user electric energy data acquire system.First of all,this paper deals with the system design of power user electric energy data acquire system,intensive studies the interface mode of information exchange with external systems,and designs a unified data interface platform.This platform provides some unified interface specifications,to achieve simultaneous information exchange for multiple systems and improve the efficiency of multi-services processing.Then,this paper further analysis and study of the factors that affect the multi-services processing technology,and proposes some solutions:l.Tarnsforming the high coupling architecture of the front communication platform,and adopting the principle of "the combination of relative independence and integration" to make each functional module separated from the structure to achieve the design of low coupling structure;2.Proposing a data storage method which combines with cloud storage,to make full use of its favorable expansibility to solve the "blowout"phenomenon of massive electric data;3.Putting forward some relative big data processing techniques and making a brief introduction;besides,proposing a load balancing strategy based on services to distribute resources reasonably when system deal with multiple services simultaneously,finally,to achieve the purpose of improving the efficiency of multi-service processing.Lastly,proposing the idea of merging mining technology to classify mass power data,in order to match the storage and processing of massive power data,so as to improve the processing efficiency of the system service.This paper proposes a clustering algorithm,and does a series of experiments to prove the superiority of the algorithm.