Building Energy Management and Control Platform Based on Multi-source Data Integration

Abstract

The only way which must be passed is to develop energy saving and emission reduction, and to develop low-carbon economy and maintain sustainable development of national economy. In this paper, a building intelligent energy saving platform based on multi-source data is proposed. Based on data driven CPS(Cyber Physical Systems) architecture of building energy supply and demand side, a system level 5C CPS including intelligent perception layer, intelligent analysis layer, intelligent network layer, intelligent cognition layer and decision and execution layer is built. Based on the building body immune genetic algorithm, the global control technology of energy saving and consumption reduction is proposed. Combining genetic algorithm with the cooperative mechanism of genetic operators, we extract the global optimal solution of multi device terminals. The collaborative operation algorithm of building energy system and power grid based on neural network can real-time understand the collaborative operation environment of power grid and buildings, provide the functions of various early warning and post analysis, and also complete the requirements of real-time information interaction, network connection interaction and multiple energy synergy.