Sensors are a crucial component in heating,ventilation,and air conditioning(HVAC)control systems,and the quality of them plays an important role in control accuracy.In the research of fault detection and control optim...Sensors are a crucial component in heating,ventilation,and air conditioning(HVAC)control systems,and the quality of them plays an important role in control accuracy.In the research of fault detection and control optimization,improving sensor data quality has inspiring potential in application.It has been largely limited to the application of signal processing methods in research focus,whereas a detailed analysis of the characteristics of signals from various sensors of the HVAC system has not been conducted.Therefore,this study analyzes the time-frequency domain characteristics of control sensors within HVAC systems through integrating the structural design and control logic of such systems.Additionally,the research examines the correlations between control sensors in HVAC systems.Based on statistical principles and the energy-mass dynamic laws of the equipment,this paper defines first-class(Ⅰ)correlated sensors and second-class(Ⅱ)correlated sensors.To sum up,the main contribution of this paper is conducting a fundamental study on the characteristics of control sensors within HVAC systems,providing theoretical reference for future research on HVAC system fault diagnosis and control optimization.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.52478080,52408101,and 52078096)the Natural Science Foundation Joint Fund of Liaoning Province(Grant No.2023-MSBA-023)+2 种基金2023 Dalian University of Technology-Cardiff University Cooperation and Exchange Foundation Project2023 International Exchange Foundation Project of“Co-Creation of Excellence Program”from Dalian University of Technology(Grant No.DUTIO-ZG-202307)the Key Project of DUT for International Students Studying and Researching in China:Innovation and Practice of Talent Cultivation Model in the Field of Smart Buildings for the“Belt and Road”Initiative(Grant No.1103-82120001).
文摘Sensors are a crucial component in heating,ventilation,and air conditioning(HVAC)control systems,and the quality of them plays an important role in control accuracy.In the research of fault detection and control optimization,improving sensor data quality has inspiring potential in application.It has been largely limited to the application of signal processing methods in research focus,whereas a detailed analysis of the characteristics of signals from various sensors of the HVAC system has not been conducted.Therefore,this study analyzes the time-frequency domain characteristics of control sensors within HVAC systems through integrating the structural design and control logic of such systems.Additionally,the research examines the correlations between control sensors in HVAC systems.Based on statistical principles and the energy-mass dynamic laws of the equipment,this paper defines first-class(Ⅰ)correlated sensors and second-class(Ⅱ)correlated sensors.To sum up,the main contribution of this paper is conducting a fundamental study on the characteristics of control sensors within HVAC systems,providing theoretical reference for future research on HVAC system fault diagnosis and control optimization.
