Temperature Monitoring System For Plant Factory Based On Multi-Sensor Data Fusion

摘要

For the problem of low accuracy of temperature monitoring system, this paper proposed a multi-sensor data fusion algorithm applied to plant factory temperature monitoring system. First, Dixon criterion was used to eliminate the gross error in the measurement data, then the temperature data fusion value and variance in each group were obtained through patch estimation fusion method based on the average value, and finally the adaptive weighted fusion was conducted on each group of sensor data in accordance with the optimal distribution principle of the weight to obtain accurate temperature value. Results showed that the algorithm had higher accuracy and smaller error than the traditional average method.