Multi-split air conditioning unit control method and control system based on digital twinning technology

Abstract

The invention discloses a multi-split air conditioning unit control method and control system based on a digital twinning technology, and belongs to the field of heating and ventilation air conditioners. The method comprises the following steps: obtaining indoor measurement data at the given moment, and calculating the actual heat flow through a resistance-capacitance model of a functional area; calculating the actual heat flow at n-1 moments before the given moment and inputting the actual heat flow into time sequence prediction models to obtain a first predicted heat flow; obtaining indoor measurement data at n-1 moments before the given moment respectively and inputting the indoor measurement data into the three time sequence prediction models respectively to obtain indoor measurement data prediction values, and calculating a second prediction heat flow by using a resistance-capacitance model; for the given moment and n-1 moments before the given moment, linearly fitting the actual heat flow according to the two predicted heat flows to obtain a fitting function; and calculating a heat flow predicted value according to the two predicted heat flows at the target moment and the fitting function at the previous moment, and controlling an air conditioning unit in the functional area according to the heat flow predicted value. The real-time performance, the accuracy and the applicability of control over the multi-split air conditioning unit can be improved.

Description

technical field [0001] The invention belongs to the field of heating, ventilating and air-conditioning, and more specifically relates to a control method and a control system for a multi-connected air-conditioning unit based on digital twin technology. Background technique [0002] The current refrigeration and air-conditioning system realizes regional temperature adjustment by cooling or warming up the space as a whole, so as to meet the comfort requirements of indoor occupants. But this temperature regulation logic is usually implemented by feedback regulation triggered by the difference between the set temperature and humidity and the indoor greenhouse temperature detected by the sensor. However, this control logic has two shortcomings: [0003] (1) This control logic is a hysteresis control logic. In other words, the adjustment action of the air conditioning system always lags behind the changes in environmental conditions. Only when the indoor thermal environment has c...

AI Technical Summary

Problems solved by technology

[0004] (2) The regulation of this control logic only takes the change of temperature and humidity as the response variable, so in order to quickly adjust the indoor temperature and humidity to the set value in a short period of time, the energy cost is often ignored; when there are multiple Different functional areas, and each functional area has different optimal temperature and humidity requirements, the regulation of ventilation and refrigerant flow in each space will be more complicated

However, this method has the following defects: the temperature adjustment logic is only established based on the device side, lacks dynamic correspondence and connection with the building thermal environment, and cannot meet the demand for real-time temperature control

However, this system has the following defects: the temperature field distribution control is too complicated, easily affected by indoor personnel activities, which increases the calculation burden of equipment, increases the pressure and cost of equipment, and is not applicable to the temperature control of multi-connected air conditioners in residential villas

[0008] In general, the existing control methods for multi-connected air-conditioning units need to be further improved in terms of real-time performance, accuracy and applicability

Images