New Ideas of Building Energy Saving in the Era of Big Data

Today, global warming caused by excessive emissions of greenhouse gases has become an increasingly serious problem. The construction sector is one of the largest energy consumption areas, so it is imperative to implement total energy consumption control in the building sector. In this paper, starting from the source of the establishment of building energy consumption quota, sampling investigation is conducted on various typical public buildings to collect energy consumption and related factors such as heat transfer coefficient of envelope structure, operating parameters of air conditioning, personnel density, etc. Then, the statistical data of SPSS software was used to find out the sample distribution probability, and the energy consumption level and energy consumption characteristics of the whole public building were analyzed. In order to verify the validity of the prediction method, the monitoring data of building energy consumption recorded by a college of environment was used to conduct an experiment.