Research On Insect Intelligent Platform Design And Energy Saving Optimization Algorithm For Large Public Buildings

Along with the rapid advancement of urbanization and growth of the scale of construction,the shortage of energy that have become the main obstacles to China's economic development.It is about 20% of the total energy consumption of the whole society that building energy consumption accounts for,which shows a rapid growth trend every year.Among them,large public buildings have the highest energy consumption per unit building area due to their high requirements for comfort,large traffic,and long operating hours of air-conditioning systems.It is imperative for large public building to save energy.Building energy consumption monitoring system is an important technical means to achieve energy-saving operation and energy audit of buildings.In the early stage of the study,the current status of the operation of 13 large public building energy monitoring systems in Shaanxi Province was investigated.It was found that due to the complicated system networking and the “island” of information between different energy-consuming systems,the difficulty of upgrading and upgrading did not achieve the ideal energy-saving monitoring.The effect is that the hierarchical centralized building energy consumption monitoring system is the root cause of this phenomenon.In view of the above problems,the paper proposes a large public building energy monitoring insect intelligent platform design and energy-saving algorithm,which the specific work is as follows:(1)Based on the national key research and development project “new type of centerless,flat building intelligent system”.Aiming at the specific requirements of large-scale public construction energy monitoring,this paper studies the design method of intelligent platform for large-scale public construction energy consumption monitoring group from the aspects of intelligent node CPN topology,building energyconsumption standard data set and distributed building energy consumption data processing method.(2)Based on the intelligent node CPN and building energy consumption standard data set,the distributed building energy consumption data collection,energy consumption data check,energy consumption data correction and building energy consumption data prediction algorithm based on group intelligent platform are proposed.(3)The distributed building energy-saving optimization control algorithm based on group intelligent platform is proposed to realize the comprehensive optimization of cross-system and coordinated building energy consumption.The ice storage air-conditioning system is taken as an example to verify the effectiveness of the algorithm.The paper proposes the intelligent platform design of large public building energy consumption,the energy consumption monitoring of insect intelligent buildings and the parallel energy-saving optimization control algorithm,which solves the complicated system configuration of the current energy consumption monitoring system,the difficulty of system upgrade and transformation,and the energy consumption information across systems.Problems such as difficulty in interaction and poor system portability are important for the development of China's large public building energy-saving monitoring technology and the development of building energy-saving and consumption-reducing work.