Research on Warehouse Environment Monitoring and Control System Based on Multi-Sensor Data Fusion

Abstract

Due to the characters of large space and uneven distributing of the temperature and humidity which always exist in the warehouse, the reliability and accuracy of data are influenced when using the wireless sensor network to collect the environmental parameters which are large redundancy and errors. According to the above-mentioned characters, a self-adaptive weighted algorithm based on multi-sensor data fusion was presented. The simulation results show that, the compute of the method is simple, it needs without any prior knowledge of sensor to give the fusion value with least variance, and therefore the proposed method improves the accuracy of measured data.