Earticle

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

Abstract
 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

키워드

저자

• Zhong-fu Liu [ College of Information & Communication Engineering Dalian Nationalities University,Liaoning Dalian,China ]
• Jun-xing Zhang [ College of Information & Communication Engineering Dalian Nationalities University,Liaoning Dalian,China ] Corresponding author
• Shao-min Li [ College of Information & Communication Engineering Dalian Nationalities University,Liaoning Dalian,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605