Abstract
According to the demand and development direction of China’s industry and wisdom, the demand of social old-age home, this paper presents a PLC control Home Furnishing automation system technology, smart wearable body sensing technology and network sensing technology based on narrow band. Through the test, the system can realize the local, WEB and mobile terminal APP intelligent home control. According to the tracking of the number of steps, heart rate and moving path of the elderly, combined with the original health status and living habits of them, the home condition modification and health warning are given. And under abnormal circumstances, such as pop-up hints and mail alerts are given. The implementation of the system can effectively collect and manage the elderly state of home care, and have better market application prospects and system development value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chan, M., Estève, D., Escriba, C., Campo, E.: A review of smart homes present state and future challenges. Comput. Methods 44(2), 79–84 (2008)
Peng, M.G., Yan, S., Zhang, K.S., et al.: Fog computing based radio access networks: issues and challenges. IEEE Netw. 30(4), 46–53 (2015)
Bastug, E., Bennis, M., Debbah, M.: Living on the edge: the role of proactive caching in 5G wireless networks. IEEE Commun. Mag. 2014(52), 82–89 (2014)
He, Q., Li, N., Luo, W.-J., Shi, Z.-Z.: A survey of machine learning algorithms for big data. PR&AI 27(4), 327–336 (2014)
Ma, Y., Xie, J., Luo, J.: Study on optimal operation of reservoir based on directional self-learning genetic algorithm. J. Hydroelectric Eng. 28(4), 43–55 (2009)
Acknowledgement
In this paper, the research was supported by Scientific Research Fund of Fujian Provincial Education Department.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Ma, Y., Li, J., Liu, L. (2018). Design of Wisdom Home System for the Aged Living Alone. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-68527-4_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-68526-7
Online ISBN: 978-3-319-68527-4
eBook Packages: EngineeringEngineering (R0)