Design And Implementation Of Fuel Information Statistics And Report Management System For Thermal Power Generation Enterprises

How to intelligently manage data and extract valuable information from huge data to meet the user's management,query and analysis needs is the research focus of thermal power generation enterprise informationization.In the related research of fuel management system,most of the research focuses on the intelligentization of various stages of thermal power generation enterprises.There are few researches on fuel information statistics and report management.The existing statistical query modules are limited to static data query.Multidimensional statistical analysis is not supported;the report management module lacks the measurement type report,and the price cannot be measured in real time.In view of the above problems,the two modules of statistical query and report management are taken as research objects,and the custom query and report are the research focus,and the fuel information statistics and report management system is realized.Aiming at the characteristics of fuel data,large quantity and wide source,a statistical query framework was constructed to provide group statistics,conditional filtering and custom query functions.Among them,by establishing the Chinese-English mapping table and the data dictionary table of the fuel data,the automatic association of the data fields is realized,which constitutes a general-purpose custom query function.A report management module is designed that includes real-time measurement of prices.In addition to the commonly used standardized reports,the in-plant standard and the in-furnace billing calculation model are established,which can measure the incoming and outgoing in-situ bills in real time,providing an important basis for management decision-making.The fuel statistical query and report management system was tested and tested.The test results show that the system can meet the needs of users in multi-dimensional query analysis and real-time measurement of incoming and incoming boilers.Since the system is based on the business processes and user needs of thermal power generation enterprises,the fuel data can only be analyzed in a known way.In the future,data mining methods can be considered to process fuel data,and more analysis is made from fuel data.Value information assists managers in making decisions.