Data Analysis Method Research And System Implementation On Energy Conservation Monitoring System For Public Buildings

With energy-saving research on public buildings becoming the focus in building energy conservation, energy consumption monitoring platform is being actively constructed throughout the whole country, with the establishment of the energy monitoring platform, there will a lot of energy consumption data to be created. In order to adapt to the needs of building energy consumption data management, it is necessary to add the building energy saving monitoring subsystem in building. Among them, the energy consumption management software subsystems can achieve safety data storage of the building energy consumption and ensure their integrity and uniqueness, and can show tendency and regularity of the energy consumption clearly, and can help to comprehensively understand the situation of the actual energy consumption in buildings, thus revealing the unreasonable energy consumption, which will provide decision and support for building energy conservation. This task studies the storage and analysis methods of Building energy saving monitor subsystem, and realized it through the building energy conservation monitoring information management system.As different types of buildings have different energy consumption characteristics, mastering the characteristics of the buildings and expressing their energy consumption data ba sed on the unity standard energy consumption model is a necessary premise of scientifically an alyzing the data of building energy consumption. The energy consumption reference model int roduced in this article is versatile and comparability and it can accurately reflect the building e nergy consumption characteristics. This paper applied the main energy consumption analysis a nd evaluation method including total index method, unit services index method, and dimensionless index method and so on. Analyzing the data of building energy consumption through the evaluation indicators is contributed to comprehensive understanding of building energy consumption and raising the level of public building energy conservation management.On the basis of theoretical studies, the article focuses on the development and design of building energy monitoring information management system, which based on systerr requirements analysis and feasibility analysis. Building energy conservation monitoring information management system, locating in a building or buildings, is mainly responsible foi storing and managing the energy consumption data. The whole system software is based on the B/S structure, developed by the.NET platform, and select ASP.NET design as Fron(?) interface and SQL Server2005as the backend database which finally realizes the functions such as energy consumption data standardization storage, query and statistical analysis,etcFinally, we discuss the application of BP neural network in predicting the electricity energy consumption of the building. To overcome the drawbacks of traditional BP algorithm such as falling into local minima and slow convergence, an optimized L-M algorithm should be applied to forecast, which has a quicker training speed and better stability The reliable results obtained by simulating the appropriate contributing factors in energy consu mption with MATLAB, showed that this prediction is absolutely feasible and will have a wond erful prospect in practice.Compared with the traditional analysis method of energy consumptio n data, data mining method will have a better application prospect in building energy-saving fi eld.