Earticle

초록

영어

Nowadays young parents are found deficient in the skills to take care of their infants due to the quick pace of modern life and the heavy working stress. Actually it has become one of the problems that perplex young parents when they have no idea about the amount of milk given to the infants each time, unsure about the temperature of milk, often forgetting to feed the infants on schedule or even making the infants choke on milk during the feeding. In view of this, this paper utilizes the internet of things technology to implement an intelligent infant feeding system, which can provide real-time monitoring on the temperature of nursing bottle, checking if the bottle has tilted or seriously tilted in addition to memorizing the feeding times. The measured information and data will be uploaded to the background server after the access to the household internet of things gateway via zigbee. Then the parents can configure the working state of the nursing bottle and receive the warning message on their smart phones. With the design of the hardware, the structure and the software system of the intelligent nursing bottle, this paper takes the intelligent nursing bottle as a node device for the connection to the household internet of things and conducts the experimental verification. The verification result proves that this technology is feasible and able to guarantee a stable operation.

목차

Abstract
 1. Introduction
 2. The Overall Design of the Auxiliary Feeding System
 3. Hardware Design of the Intelligent Nursing Bottle
  3.1 Structural Design
  3.2 Hardware Design
 4. Key Technology
  4.1 Monitoring on the Tilting Angle
  4.2 Result Evaluation of Feeding based on Fuzzy Set Theory
 5. Experimental Verification
  5.1 Experiment on System Functions
  5.2 Experiment on the Tilt Angle Measurement
  5.3 Experiment on the Temperature Measurement
  5.4 Simulation of Fuzzy Inference Algorithm
 6.Conclusions
 References

키워드

저자

• Benzhen Guo [ School of Information Science and Engineering, Hebei North University, Hebei, China ]
• Jingjing Yang [ School of Information Science and Engineering, Hebei North University, Hebei, China ]
• Xiao Zhang [ School of Information Science and Engineering, Hebei North University, Hebei, China ]
• Yu Liu [ School of Information Science and Engineering, Hebei North University, Hebei, China ]
• Shangfu Hao [ School of Information Science and Engineering, Hebei North University, Hebei, China ]
• Kezhong Yang [ School of Information Science and Engineering, Hebei North University, Hebei, 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