Application of least square method in intelligent selection of refrigerating compressors

The traditional methods used to select refrigerating compressors have errors, such as consulting values from charts or estimating values subjectively. It leads to selecting the models of compressors inaccurately. During the course of model selection for compressor, too many parameters are concerned, which leads to a large amount of work and calculation. Method of minimum squares can be used to imitate the performance curves of compressor. It makes selecting compressor without chart and only concerned with condensation temperature and evaporation temperature, which greatly improves the speed and quality of selecting compressor.