A cooling/heating prediction method for air conditioners based on data mining technology

Abstract

The invention belongs to the technical field of refrigeration / heat calculation of air conditioners, and discloses an air conditioner refrigeration / heat prediction method based on a data mining technology. The prediction method comprises the following steps that (a) a plurality of temperatures of a throttling valve, evaporator and condenser on a to-be-processed air conditioner are collected, andthe evaporation temperature, the condensation temperature and the supercooling degree are calculated; (b) an infinitesimal region analysis method is adopted, and the mass flow of a refrigerant is calculated by utilizing the pressure changes of a capillary supercooling liquid phase region and a vapor-liquid two-phase region; (c) the refrigeration / heat of the to-be-processed air conditioner under evaporation temperature and condensation temperature is calculated by adopting a refrigerant enthalpy value method heat; and (d) a linear regression prediction model, used for predicting required refrigeration / heat, about refrigeration / heat and the evaporation temperature and condensation temperature is established. By means of the air conditioner refrigeration / heat prediction method based on the data mining technology, the refrigeration / heat of an air conditioning system can be predicted without carrying out complex disassembly and assembly or damaging air conditioning system devices. Operation is simple, and the result is reliable.

Description

technical field [0001] The invention belongs to the technical field of refrigeration / heat calculation of an air conditioner, and more particularly relates to a method for predicting refrigeration / heat of an air conditioner based on data mining technology. Background technique [0002] As a kind of white goods used to optimize the quality of indoor environment, air conditioners are not only loved by more and more families, but also widely used in shopping malls, office buildings, hospitals and other public places with dense population. With the improvement of living standards, people have higher and higher requirements for indoor environment comfort and air quality, so it is particularly important to maintain the stable and efficient operation of air conditioning systems or air conditioners. [0003] At present, the calculation methods for cooling / heating of air conditioners can be mainly classified into two categories: refrigerant enthalpy method and air enthalpy method. Ho...

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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for predicting cooling / heating of air conditioners based on data mining technology, aiming at the inability of existing technologies to accurately and quickly measure cooling / heating of air conditioners under actual working conditions , starting from the evaporation temperature and condensation temperature of the refrigerant, using the analysis method of the micro-element section, the mass flow rate of the refrigerant is calculated by using the pressure change of the two sections of the capillary, and the non-invasive and high-precision measurement of the mass flow rate of the refrigerant in the refrigeration system is realized. Then, the actual cooling capacity is calculated by using the refrigerant enthalpy method, which realizes the accurate calculation of the cooling capacity of the refrigerant in the refrigeration system. Finally, the actual cooling capacity of the air conditioner is realized by establishing a prediction model for cooling / heating about evaporation temperature and condensation temperature. Cooling / Heating Forecast

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