An efficient and energy-saving ground source heat pump intelligent control system

Abstract

The present application relates to the technical field of ground source heat pump, and particularly relates to an efficient and energy-saving ground source heat pump intelligent regulation and control system, which comprises a data acquisition module, a preprocessing module, an intelligent prediction module, an energy efficiency optimization module, a control execution module and a data management module; the present application innovatively constructs a double-layer optimization control framework combining macro-scale and micro-scale, the macro-scale layer dynamically optimizes the number of operating units and the part load ratio based on high-precision heat load prediction results, and the micro-scale layer finely adjusts the water supply temperature set value and the pump frequency through a real-time feedback mechanism; the CNN-LSTM hybrid neural network and FPGA hardware acceleration technology are fused, the CNN module efficiently extracts the spatial correlation between multi-dimensional features, the LSTM module accurately captures the long-term dynamic dependence relationship of the heat load time sequence, and meanwhile, the FPGA platform is used to accelerate the model at the hardware level, so that the inference speed is improved and the real-time regulation and control requirement is met.

Images