원문정보
초록
영어
Intelligent greenhouse monitoring technique is an efficient agricultural control technique emerging recently. The threshold value control of the switching value is the most-adopted greenhouse control method. Due to unique characteristics of greenhouse, the existing monitoring style cannot meet the great demand of greenhouse for intensive monitoring. Concerning the monitoring demands of the greenhouse and based on the technique of Internet of Things, this paper introduces the multisensory fusion technique to the intelligent greenhouse monitoring system. The greenhouse environmental monitoring system based on ZigBee is built, and a two-layer fusion method of “sensor+aggregation node” is put forward. The Kalman filtering method and the weighted average method are employed to conduct sensor node fusion and aggregation node fusion, respectively. An experiment is carried out to verify the built model with the experimental results suggesting that the two-layer fusion method can improve the measurement accuracy and stability of the greenhouse environmental monitoring system.
목차
1. Introduction
2. Greenhouse Environmental Monitoring System Structure based on Internet of Things
2.1. System Structure
2.2. Aggregation Node Design of the Sensor
3. Two-Layer Sensor Data Fusion Algorithm
3.1. Node Data Fusion based on Kalman Filtering
3.2. Data Node Fusion in the Aggregation Layer based on the Weighted Average Fusion
4. Experimental Analysis of Sensor Data Fusion
4.1. Data Fusion Results in the Sensor Node Layer
4.2. Node Fusion Results in the Aggregation Layer
5. Conclusion
Acknowledgements
References