Software Development Of Energy Efficiency Based On The Data Warehouse Technology

Facing the increasingly tense of the global energy and the rising energy prices, people attaches great importance to the intensity of the implementation of saving energy. AS the main target of saving energy, building energy conservation becomes a current hot issue of common concern. How to improve the Intelligent Building energy efficiency, rationally and effectively use the energy, it is important to promote energy-saving construction. For example, building automation systems (BAS) are widely employed in public intelligent buildings to monitor and control the operation of HVAC, which make progress in control management and energy savings. But the BAS monitor the system according the equipments, which can lead the equipments not all operation in the best condition. But there may be some equipment expense of the operational status of other parameters to obtain the improvement of the situation, which lack of a foothold in the overall management and control measures. From the system's point of view, the energy saving effect is not very good.Based on the efficiency of energy transmission and energy usage, a new method of measurement and evaluation of building energy efficiency is described in this thesis. A lot of building energy management strategies on HVAC and lighting system is investigated in order to reduce the energy consumption in intelligent buildings. The probability and the principle of building energy efficiency management systems are systematically introduced based on the energy efficiency theory.This thesis studies the data warehouse technology and its application in the development of the energy management system of data processing module. A preliminary study is done on the Data Mining techniques and explore the possible application of data mining technology in the system.The thesis's main tasks are as follows:In section I, a new concept of energy efficiency is introduced in detail by analyzing the existent energy management systems. The evaluation of energy efficiency is composed of energy transmission efficiency and energy usage efficiency. Building energy usage efficiency is connected with modes of operation and management. On the energy transfer efficiency calculation method, introduced the concept of energy efficiency. The concept of energy efficiency and its detection method is introduced. Proposed the design overall energy management system in the theory of energy efficiency.In section II, done a detailed analysis of Shouguang business district energy management systems, and developed the common energy analysis software. From the system architecture and functionality, more detailed analysis and solution design is done, and a number of key technical issues are solved in the software implementation process.In section III, developed the data warehouse technology in the central data server of the energy analysis system. Using the data warehouse technology for data cleansing, data format conversion, the establishment of data warehouse theme, etc. The establishment of multi-dimensional data sets and the converted relational database are prepared for the follown data mining.In section IV, take the mining tools specific to SQL Server as an example, and briefly introduce the operation of data mining. Do a preliminary understanding of the data mining algorithms. Prepare for an in-depth follow-up study on mining algorithms, and attach the system for better control and management measure.Finally, in conclusion on the basis of previous work, the development of the energy management system and the future of the shortcomings of the work of the need for further exploration and study of the issue.