The invention discloses an intelligent partition energy-saving control method for an air conditioner
pipe network
system, which comprises the following steps of: 1, acquiring multi-
source data, and acquiring environmental parameters, load parameters and meteorological parameters in real time; 2, dynamic partition modeling is carried out, and a
pipe network is divided into intelligent partitions capable of being regulated and controlled independently based on regional load characteristic differences and real-
time data; step 3, load prediction and optimization: predicting cooling and heating load demands, and generating a
dynamic energy supply strategy; 4, cooperative control is carried out, and precise regulation and control of partitioned cooling / heating are achieved through a central controller in a coordinated mode; 5, feedback and self-adaptive adjustment are carried out, and partition boundaries and
energy supply parameters are dynamically optimized based on real-time environment parameters and user comfort level feedback; according to the method, the inner area, the outer area and the functional area are divided through dynamic
zoning modeling to predict the load demand, the problems of cold and heat offset and
energy consumption waste caused by fixed
zoning of a traditional
air conditioning system are solved, and cooperative regulation and control are achieved through the
variable air volume terminal, the variable frequency pump and the electric two-way valve.