Research and Design of Heat Pump Air Conditioning Control System Based on Intelligent Diagnosis

Abstract

With the scarcity of energy resources and the requirements of environmental protection, the energy efficiency and performance optimization of heat pump air-conditioning systems have become an important research field. In this study, an intelligent diagnosis system based on support vector machine (SVM) is designed and compared with the traditional system without intelligent diagnosis. The experimental group uses an intelligent diagnostic system for troubleshooting and diagnosis, and the control group uses a traditional system for the same operation. By collecting experimental data and statistical analysis, the performance of two groups of systems in terms of troubleshooting time, fault diagnosis accuracy and energy consumption is evaluated. In the experimental group, the longest time for troubleshooting was 5 minutes, the shortest time was 1 minute; the control group took a maximum of 15 minutes and a minimum of 8 minutes. The intelligent diagnosis system based on SVM shows obvious advantages in the control system of heat pump air conditioning.