Method and system for controlling ventilation cooling type permafrost subgrade based on energy dynamic balance

A method for controlling ventilation cooling type permafrost subgrade based on energy dynamic balance, comprising the steps of

• constructing a heat absorption predicting model;
• and
• inputting an operating condition combination of a permafrost subgrade into the heat absorption predicting model to produce a predicted heat absorption for the permafrost subgrade, and controlling a cooling system to operate based on the predicted heat absorption;
• wherein the heat absorption predicting model is constructed based on a seed point algorithm of formula matrix, which comprises the steps of
• fitting a curve of heat absorption over time under a known operating condition combination of the permafrost subgrade to produce a known fitting formula;
• establishing a formula matrix by taking the known operating condition combination as coordinates of known seed points and the known fitting formula as an index formula of the known seed points;
• and
• constructing a new seed point from a newly inputted operating condition combination of the permafrost subgrade, selecting a plurality of known seed points closest to the new seed point from the formula matrix to calculate similarity weights between the plurality of known seed points and the new seed point, calculating a predictive fitting formula corresponding to the new seed point based on the similarity weights and the known fitting formula, and calculating the predicted heat absorption based on the predictive fitting formula, wherein during a warm season, the cooling system is controlled to operate by monitoring in real-time an actual heat absorption of the permafrost subgrade at a regular time interval, which specifically comprises the steps of
• monitoring in real-time an actual heat absorption of the permafrost subgrade, and fitting a curve of actual heat absorption over time based on the actual heat absorption over a period from beginning of the warm season to current moment;
• correcting the predictive fitting formula based on the curve of actual heat absorption over time to produce a corrected fitting formula;
• and
• determining the cooling system whether or not to work during the warm season based on the corrected fitting formula and the actual heat absorption at the current moment, and
• determining a working power of the cooling system based on a required cooling capacity in real-time when the cooling system is determined to work.