Design And Implementation Of The One Building Energy Consumption Analysis System

With the increase of energy crisis and environmental pollution,energy saving and environmental protection has been got the call of the whole society and the people.Statistically,China's building energy consumption accounts for about 1/3 of the total energy consumption of the whole society.China's energy waste is serious and there is a lot of space for energy saving.To achieve building energy efficiency,firstly,it needs to real time monitor the electricity,water,gas,central heating,central heating and other energy information in the building and to provide data support for energy saving.Since 2008,the government vigorously promoted building energy consumption monitoring work,and introducted the state organ office,colleges and universities,hospitals,etc.all kinds of construction of building energy consumption monitoring guidelines.Currently various types of building energy consumption monitoring system has been fully applied,and a large number of historical energy consumption data have been accumulated.How to apply these days and months multiplying historical data,is the first task of building energy regulatory system the second R&D.Based on a developing building energy consumption monitoring and management system,this thesis used the data mining method combined with characteristics of building energy consumption,to carried out algorithm research and model building from the three aspects:energy consumption detection,energy consumption prediction and energy consumption evaluation.For building energy consumption detecting,the thesis used the lof outlier detection method to build the building energy consumption detection model to avoid the irrational of the traditional method only rely on the setting of energy consumption values to abnormal judge of energy consumption.or building energy consumption detecting.For building energy consumption prediction,this thesis used the BP neural network prediction method to build the building energy consumption prediction model,to predict the future use of energy and to help energy management personnel arranging with energy equipment reasonably.For building energy consumption evaluation,this thesis used the forecast result gap analysis method to build the building energy consumption evaluation model and to provide support for the use of the audit means.Based on the algorithm research,according to the actual needs of the project,the thesis designed the building energy consumption analysis system.The building energy consumption analysis system contains four modules:the underlying database,data processing server,model configuration client and web display terminal.The underlying database storaged the related data of building energy consumption analysis system.The data processing server mainly related to the operation of the algorithm and the interaction with the underlying database.The model configuration client achieved the flexible configuration to create various analysis model,and combining with the data processing server to achieve the operation and optimization of a variety of algorithms.The web display terminal integrated with the existing building energy consumption monitoring system web display,and the statistical analysis results have been digitized,graphical display.In this thesis,the building energy consumption analysis system is developed by using Qt,Java,ICE and so on.Currently,the system has been applied to an actual project and has achieved remarkable results.The System helps the energy management personnel to detect,predicte and evaluate the energy consumption.It provides the strong basis for users with energy-saving management and provides users with energy-saving programs truly.The system has achieved good economic benefits.