Research on the recognition of operating status and multidimensional parameter measurement method of central air conditioning driven by AI

This paper mainly focuses on the implementation approaches of AI technology for the recognition of the operating status and multiparameter detection of central air conditioning systems and proposes a set of intelligent monitoring methods integrating deep learning modeling and multi-source data fusion. By establishing a state recognition model and integrating detectors, accurate discrimination of the system state and real-time measurement of key parameters are achieved, resulting in a high recognition accuracy rate and measurement precision, and realizing the intelligent control of the central air conditioning system.