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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[0060] Example 1:
[0061] Multi-split air conditioning unit based on the digital control method of a twin technology to function as the unit is controlled, and control for each ribbon comprising:
[0062] Thermal flow calculation step: obtains the indoor measurement data at a given time, and utilizes the internal air heat flow of the corresponding time to calculate the internal air flow of the corresponding time, it is recorded as the actual heat flow; the indoor measurement data includes wall temperature, indoor air temperature and indoor Regenerative temperature;
[0063] The first prediction step: separately calculates the actual thermal flow of each time in the n-1 time before the given time, obtains the heat flow timing sequence, and inputs to the trained timing prediction model to obtain a given time of the indoor air heat flow The predicted value is recorded as the first predicted heat flow;
[0064] A second prediction step: measurement data are acquired for each time poi...
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[0087] Example 2:
[0088] Multiple machine 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 the indoor measurement data of a given time, and utilize the indoor air flow of the corresponding time, which is used to calculate the internal air flow of the corresponding time, which is recorded as the actual heat flow; the indoor measurement data includes a wall temperature, indoor air temperature And indoor heat storage temperature;
[0091] The first prediction module is configured to calculate the actual thermal flow of each time in the n-1 time before the given time, obtain the heat flow timing sequence, and input to the trained timing prediction model to obtain an indoor...
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