Design of a Temperature and Humidity Monitoring System for Plant Growth Cabinets Based on Data Fusion

摘要

The design in this paper provides an effective solution for the development of plant growth cabinet monitoring systems. The monitoring system took the STM32 microprocessor as its core controller and used touch screen for human-computer interaction. To solve the accuracy problem in the temperature and humidity monitoring system, the means and variances for the fusioned temperature and humidity data were given by use of the average values based batch estimation fusion method, then the adaptive weighted fusion was conducted on each layer of sensor data in accordance with the optimal distribution principle of the weight to obtain accurate temperature and humidity values. The designed system can supply us with temperature and humidity data with small errors and therefore improves the control accuracy of plant growth cabinet.