Study on Remote Monitoring Method of Indoor Temperature and Humidity in Large Space Buildings

Le Yang

School of Architecture, Chang'an University, Xi'an, 710064, China

Abstract: Aiming at the shortcomings of the traditional method for temperature and humidity monitoring, such as low accuracy and poor anti-interference, a method combining a stepwise regression model and artifi-cial bee colony algorithm is proposed for monitoring indoor temperature and humidity in large space build-ings remotely. The fast frontier transform is utilized for spectrum-estimating indoor temperature and humidity, and frequency domain characteristics of temperature and humidity signal spectrum estimation results are analyzed to establish the evaluation standard for frequency domain characteristics, and the standard is applied to the monitoring model to ensure the accuracy of the monitoring results. The experimental results show that the proposed method can monitor the indoor temperature and humidity in large space buildings accurately and remotely, and the monitoring results are better.

Keywords: Large Space Buildings; Indoor Temperature and Humidity; Remote Monitoring