The invention relates to the technical field of neural network
algorithm control, in particular to a ground source
heat pump intelligent control method and
system for improving comprehensive energy efficiency based on
the Internet of Things, and the method comprises the following steps: matching temperature and flow trends to generate correction, adjusting power priority embedding logic to generate collaborative priority, extracting
pressure difference and flow slope to judge an unbalance trend, and controlling a ground source
heat pump according to the unbalance trend. And generating an energy efficiency optimization atlas in combination with feedback. The temperature and flow deviation trend is dynamically matched, the control response opportunity is corrected in combination with the
soil temperature gradient change, the heat source switching accuracy and timeliness are improved, cooperative execution of all control elements is ensured through
time sequence offset calculation and power priority adjustment, and the heat source switching efficiency is improved. The
branch differential pressure fluctuation and flow slope
joint analysis enhances the identification capability for the unbalance trend, the flow matching degree and the
differential pressure direction are linked to adjust the valve response, the adjustment precision and the execution efficiency are improved, the compensation and energy efficiency fluctuation association is constructed through the feedback spectrum and the flow balance degree, and efficient cooperative control and energy-saving optimization in the multi-source state are achieved.