摘要
鉴于暖通空调(Heating, Ventilation and Air Conditioning, HVAC)由于检测精度低,控制过程不完善,导致温、湿度控制效果差,提出基于光电传感器的暖通空调温湿度智能控制技术。分析光电传感器的光电组件,设计光电传感器的投光电路,通过复合悬臂梁的谐振频率实现温度采集,测量传感器的电阻两侧电压变化值获取当前环境湿度;将检测到的数据输入构建的温湿度智能控制系统,通过混合蛙跳算法(SFLA)优化PID控制器的参数,控制暖通空调的温、湿度保持在设定的范围,实现暖通空调温湿度智能控制。实验结果表明:设计的温湿度智能控制技术检测温度的误差低于0.02℃,在外界干扰的情况下,控制温度在26℃,湿度值在80%RH,因此,该技术可有效控制温度和湿度在设定的范围,具备可行性和有效性。
In view of the poor temperature and humidity control effect of heating, ventilation and air conditioning(HVAC)due to low detection accuracy and imperfect control process, an intelligent temperature and humidity control technology of HVAC based on photoelectric sensor is proposed. The photoelectric component of the photoelectric sensor is analyzed, the optical circuit of the photoelectric sensor is designed, the temperature is collected through the resonant frequency of the composite cantilever beam, and the current environmental humidity is obtained by measuring the voltage changes on both sides of the resistance of the sensor. The detected data is input into the constructed temperature and humidity intelligent control system, and the parameters of PID controller are optimized by shuttled frog leaping algorithm(SFLA)to control the temperature and humidity of HVAC to keep within the set range, so as to realize the intelligent control of temperature and humidity of HVAC. The experimental results show that the temperature error of the designed temperature and humidity intelligent control technology is less than 0.02 ℃,in the case of external interference, the control temperature is 26 ℃,the humidity value is 80%RH,therefore, The temperature and humidity can be effectively controlled in the set range through this technology, which has the feasibility and effectiveness.
作者
郭燕飞
GUO Yanfei(Department of Architectural Engineering,Shanxi Institute of Economics and Business,Taiyuan Shanxi 030002,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2022年第9期1293-1298,共6页
Chinese Journal of Sensors and Actuators
关键词
暖通空调
传感器
温湿度控制
蛙跳算法
PID控制
HVAC
sensor
temperature and humidity control
FROg jump algorithm
PID control