Intelligent pet cat care residence design based on cloud platform
DOI:
https://doi.org/10.54097/pt727502Keywords:
Pet Cat Care Home, Intelligent, cloud platform, real-time monitoring.Abstract
In order to provide an intelligent living environment for pet cats, so that owners can understand and control the daily life of pet cats, and communicate and interact with them through voice, a remote pet cat care system was designed. The system uses a remote monitoring function that combines a cloud platform and a camera, allowing owners to keep an eye on their pet cats' movements even when they are away from home. This system uses PLC as the main control unit and STM32 single chip microcomputer as the slave, which can not only collect temperature, humidity, light intensity, pressure and other signals, but also carry out real-time control of the controllable hardware in the system, and transmit the collected data to the cloud platform. 4G communication technology is adopted, and users can remotely complete the intelligent control of all equipment in the system through the cloud platform. To realize real-time monitoring and interaction of pet cats in all aspects; According to the pet cat daily diet, drinking water, exercise and other important data to determine whether the physical health. This can improve the service level of the pet cage industry and inject technological power to make pet cages more intelligent.
Downloads
References
YAN Shengzan, Sun Yinghui. Research on intelligent system design of stray cat shelter based on Analytic Hierarchy Process [J]. Design, 2022, 35 (17): 145-148.
Wei Feng, Zhao Xiang. Design and research of a pet cat companion robot based on KANO-AHP [J]. Design, 2022, 35 (1): 128-131
Yang Huiyu, Yang Ziqian. Research on Intelligent Cat Furniture Design Based on Emotional Interaction [J]. Design, 2022, 35 (9): 21-23
Iqbal, Asif; Ullah, Farman; Anwar, Hafeez; Kwak, Kyung Sup; Imran, Muhammad; Jamal, Waseef; Rahman, Atta ur (2018). Interoperable Internet-of-Things Platform for Smart Home System using Web-of-Objects and Cloud. Sustainable Cities and Society, (), S2210670717313379–.
J. Navarro-Ortiz, S. Sendra, P. Ameigeiras and J. M. Lopez-Soler, "Integration of LoRaWAN and 4G/5G for the Industrial Internet of Things," in IEEE Communications Magazine, vol. 56, no. 2, pp. 60-67, Feb. 2018
P. J. Burke, "4G Signal Propagation at Ground Level," in IEEE Transactions on Antennas and Propagation, vol. 70, no. 4, pp. 2891-2903, April 2022
Yang Q. Research on the design of intelligent pet cat feeder based on emotional needs [D]. Qingdao: Qingdao University, 2020
A. Masood, T. Ha, D. S. Lakew, N. -N. Dao and S. Cho, "Intelligent TCP Congestion Control Scheme in Internet of Deep Space Things Communication," in IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, pp. 1472-1486, 1 May-June 2023
S. Schriegel and J. Jasperneite, "A Migration Strategy for Profinet Toward Ethernet TSN-Based Field-Level Communication: An Approach to Accelerate the Adoption of Converged IT/OT Communication," in IEEE Industrial Electronics Magazine, vol. 15, no. 4, pp. 43-53,
D. Ravì et al., "Deep Learning for Health Informatics," in IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 4-21, Jan. 2017
Fernandez-Navamuel A, Magalhães F, Zamora-Sánchez D, Omella ÁJ, Garcia-Sanchez D, Pardo D. Deep learning enhanced principal component analysis for structural health monitoring. Structural Health Monitoring. 2022; 21(4):1710-1722.
Iranpak, S., Shahbahrami, A. & Shakeri, H. Remote patient monitoring and classifying using the internet of things platform combined with cloud computing. J Big Data 8, 120 (2021).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
