SOA and Neural Network Based Building Management System

In pursuance of attaining energy saving with productivity and provide good quality of service for users, the design of a logical energy examining and management system using the Microsoft neural network and computationally non tolling formula is projected in this paper. By examining the potential data consumption, nearby data and users’ scenario data, the system assist the design and it will measure the percentage of dissipated energy consumption assisted the energy data consumption point, give bearable services based on the person-device interaction, and forecast the energy consumption supported the user energy consumption behaviors. The system is combined with cloud computing for data storage and processing. This document illustrates the propose and execution of the system structural design.