Construction And Application Of Intelligent Information Collection Platform For Fushun

In recent years, along with the State Grid Corporation of three sets of five systemsto deepen and build strong and smart grid rapidly advancing, the majority ofelectricity customers on ways and content marketing services also put forward higherrequirements. Therefore, the construction of information collection system, buildsmart electricity service platform for mutual exchange between the two sides with theintroduction of related services and service initiatives to improve customersatisfaction, has become to build a harmonious society and building a harmoniouspower necessary requirement.This paper describes the background and significance of the information collectionsystem construction, combined with smart grid development, building designinformation collection system for six typical programs to achieve the marketinginformation collection, other professional and social functional requirements.According to the level of grid development Liaoning Fushun regions, and insmall-scale research and analysis on the basis of applications, designed for thecollection system of electricity in Fushun, in the region range application.Participation in system construction, to determine the main station, communicationchannels and key equipment selection, and organize the implementation of the systemin the field of application, by analyzing a large number of application data, found thatthe presence of the high rate of leakage copy Fushun electricity acquisition, forspecifically conducted field research, analyzes the causes of the problem and findsolutions to problems raised and processing methods, improve the collection of thisimportant indicators of the success rate of collection of electricity, lay an importantfoundation for subsequent functional development.Construction and use of the information collection platforms, timely, complete andaccurate data to provide a basis for the marketing business system, so as to manageall aspects of business analysis, decision support data analysis, enhance corporateintensive, lean and standardization management level.