Multi-split air conditioning unit control method and control system based on digital twinning technology
A multi-connected air conditioner and unit control technology, which is applied to air conditioning systems, heating and ventilation control systems, and control inputs related to air characteristics, can solve the problems of low applicability of multi-connected air conditioners, ventilation volume, and refrigerant flow rate. Problems such as complex control and real-time temperature control can not meet the demand, so as to avoid equipment pressure and control cost, realize control accuracy and real-time performance, increase equipment pressure and control cost
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Embodiment 1
[0061] A control method for multi-connected air-conditioning units based on digital twin technology, which is controlled in units of functional areas, and the control of each functional area includes:
[0062] Heat flow calculation step: obtain indoor measurement data at a given moment, and use the resistance-capacitance model of the functional area to calculate the indoor air heat flow at the corresponding moment, which is recorded as the actual heat flow; indoor measurement data includes wall temperature, indoor air temperature and indoor temperature. Regenerator temperature;
[0063] The first prediction step: Calculate the actual heat flow at each time in the n-1 moments before the given time respectively, obtain the time series of heat flow, and input it into the trained time series prediction model, and obtain the indoor air heat flow at the given time The predicted value is recorded as the first predicted heat flow;
[0064] The second prediction step: obtain the indoo...
Embodiment 2
[0088] A multi-connected air-conditioning unit control system based on digital twin technology, such as image 3 As shown, including: user layer and device layer;
[0089] The user layer includes: heat flow calculation module, first prediction module, second prediction module, linear fitting module and target prediction module;
[0090] The heat flow calculation module is used to obtain indoor measurement data at a given time, and use the resistance-capacity model of the functional area to calculate the indoor air heat flow at the corresponding time, which is recorded as the actual heat flow; the indoor measurement data includes wall temperature, indoor air temperature and the temperature of the indoor heat storage body;
[0091] The first prediction module is used to calculate the actual heat flow at each time in the n-1 moments before the given time, obtain the heat flow time series, and input it to the trained time series prediction model to obtain the indoor air at the gi...
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