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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

High-performance Smart Home System based on Optimization Algorithm

Author(s): Zhengwang Xu, Jin Zhu*, Jixin Yang, Shikang Shen and Yao Fu

Volume 17, Issue 5, 2024

Published on: 20 September, 2023

Page: [498 - 514] Pages: 17

DOI: 10.2174/2352096516666230718155721

Price: $65

Abstract

Background: With the recent COVID-19 pandemic, people have become increasingly concerned about their physical health. Therefore, the ability to monitor changes in the surrounding environment in real-time and automatically improve the environment has become a current hot topic to improve the overall health level.

Objective: This article describes the design of a high-performance intelligent home system that can simultaneously perform monitoring and automatic adjustment functions.

Methods: The ESP8266 was used as the core controller, and the DHT11 and G12-04 sensors were used to collect data, such as temperature, humidity, and ambient light intensity. The sampling frequency was increased and the sampled data were processed to improve data accuracy. The sampled data were wirelessly transmitted to a PC or mobile terminal for real-time display. When the sampled data underwent sudden changes, an alert message was sent via the mobile terminal. Based on the real-time changes in ambient light, an improved lighting brightness adjustment algorithm combining bang-bang and single neuron adaptive PID control was used to adjust the lighting brightness.

Results: After testing the system designed in this paper and analyzing the errors compared to standard values, the temperature measurement error ranged from 0% to 0.01107%, and the humidity measurement error ranged from 0% to 0.03797%. The improved algorithm was simulated and tested using MATLAB software and compared with traditional PID algorithms and single-neuron adaptive PID algorithms. The improved algorithm did not overshoot during adjustment, and the system reached a steady state much faster than traditional algorithms.

Conclusion: The system showed good performance in real-time, stability, and accuracy, fully demonstrating the effectiveness of the devices and algorithms used in the system. This provides ideas for the design and improvement of future smart homes.

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[1]
"US EPA", In: Why indoor air quality is important to schools., 2015. Available from: https://www.epa.gov/iaq-schools/why-indoor-air-quality-important-schools
[2]
C.J. Weschler, "Chemistry in indoor environments: 20 years of research", Indoor Air, vol. 21, no. 3, pp. 205-218, 2011.
[http://dx.doi.org/10.1111/j.1600-0668.2011.00713.x] [PMID: 21281360]
[3]
S. LEE, "Effect of anxiety about climate change on life satisfaction and mediating effect of subjective health status", J. Environ. Health Sci., vol. 45, pp. 267-272, 2021.
[4]
Y. He, X. Zhang, H. Zhang, and Z. Lin, "Design and implementation of intelligent temperature and humidity control system for small and medium grain depots", In 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) pp. 101-105,, Kunming, China, 2021.
[http://dx.doi.org/10.1109/ICSGEA53208.2021.00028]
[5]
X.Q. Ma, K. He, J.Y. Lu, L. Xie, Y. Ju, L.X. Zhao, and W.S. Gao, "Effects of temperature and humidity on ground total electric field under HVDC lines", Elec. Power Sys. Res., vol. 190, p. 106840, 2021.
[6]
M. Harrington, "Adaptive immunity in stress resilience", Lab. Anim., vol. 44, pp. 76-76, 2015.
[7]
G. Fredrickson, F. Algoe, M. Arevalo, J. Ma, and S.W. Cole, "Psychological well-being and the human conserved transcriptional response to adversity", PLoS One, vol. 11, no. 6, p. e0157116, 2015.
[8]
S. Ratnakala, R. Ibrahim, M. Sann Lye, E.K. Perimal, N. Ibrahim, and N.D. Dahlan, "Morning boost on individuals’ psychophysiological wellbeing indicators with supportive, dynamic lighting in windowless open-plan workplace in Malaysia", PLoS One, vol. 13, no. 11, p. e0207488, 2018.
[9]
Y. Zhang, Y. Tu, L. Wang, and W. Zhang, "Assessment of visual fatigue under LED tunable white light with different blue components", J. Soc. Inf. Disp., vol. 28, no. 1, pp. 24-35, 2020.
[http://dx.doi.org/10.1002/jsid.866]
[10]
B. Gates, "Living and prospering in the information age", In: The Road Ahead., Penguin Audiobooks, 1995.
[11]
M. Alaa, A.A. Zaidan, B.B. Zaidan, and Mohammed Talal, "M.L.M. Kiah, “A review of smart home applications based on Internet of Things”,", J. Net. Comp. Appl., pp. 48-65, 2017.
[12]
" Al Lawati, Badar H. and Fang, Xiaowen, “Home automation internet of things: Adopted or diffused?”,", Lecture Notes in Computer Science, vol. 10921, pp. 181-190, . 2018
[13]
Isshiki, M., and Umejima M., and Hirahara M., and Minemura T., and Murakami, T., and Owada, S,, "“Case study of an ecological, smart home network: iZEUS-intelligent Zero Emission Urban System”,", In: Ecological Design of Smart Home Networks: Technologies, Social Impact and Sustainability, pp. 91-111. 2015
[14]
S. Lee, J. Jo, Y. Kim, and H. Stephen, "A framework for environmental monitoring with Arduino-based sensors using Restful web service", In IEEE International Conference on Services Computing, pp. 275-282
Anchorage AK, USA, 2014. [http://dx.doi.org/10.1109/SCC.2014.44]
[15]
J. Chen, S. Wu, X. Xue, and S. Zhang, "Environmental monitoring system based on IOT android platform", IOP Conf. Ser. Earth Environ. Sci., vol. 467, no. 1, p. 012129, 2020.
[http://dx.doi.org/10.1088/1755-1315/467/1/012129]
[16]
K. Areg, C.S. Chi-Kin, E. Khaled, A. Syafiqkamarul, and K. Majid, "Multisensor adaptive control system for IoT-empowered smart lighting with oblivious mobile sensors", ACM Trans. Sens. Netw., vol. 16, no. 1, pp. 1-21, 2020.
[17]
T.W. Kruisselbrink, R. Dangol, and E.J. van Loenen, "A comparative study between two algorithms for luminance-based lighting control", Energy Buildings., vol. 228, p. 110429, 2020.
[http://dx.doi.org/10.1016/j.enbuild.2020.110429]
[18]
C. Tokognon Jr, "Structural health monitoring framework based on internet of things: A survey", IEEE Internet Things J., vol. 4, no. 3, pp. 619-635, 2017.
[19]
P.S.B. MacHeso, T.D. Manda, A.G. Meela, J.S. Mlatho, G.T. Taulo, and B. M’Mame, "Environmental parameter monitoring system based on NodeMCU ESP8266, MQTT and Node-RED", In International Conference on Computer Communication and Informatics 2022Coimbatore, India
[http://dx.doi.org/10.1109/ICCCI54379.2022.9740787]
[20]
Z. Wan, Y. Song, and Z. Cao, "Environment dynamic monitoring and remote control of greenhouse with ESP8266 NodeMCU", In IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 377-382 Chengdu.
China 2019 [http://dx.doi.org/10.1109/ITNEC.2019.8729519]
[21]
R.K. Jha, S. Kumar, K. Joshi, and R. Pandey, "Field monitoring using IoT in agriculture", In International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), pp. 1417-1420 Kerala.
India 2017 [http://dx.doi.org/10.1109/ICICICT1.2017.8342777]
[22]
R. Veerachamy, R. Ramar, S. Balaji, and L. Sharmila, "Autonomous application controls on smart irrigation", Comput. Elec. Eng., vol. 100, p. 107855, 2022.
[23]
Y. Li, and J. He, "Design of Indoor Environment Monitoring System Based on WiFi 2nd IEEE Advanced Information Management, Communicates,", In Electronic and Automation Control Conference (IMCEC), pp. 1842-1845 Xi'an.
China 2018. [http://dx.doi.org/10.1109/IMCEC.2018.8469580]
[24]
Hongtao Jiao, "“Speed control method of mineral lifting and transportation machinery based on single neuron PID”, J. Comput. Methods", Sci. Eng., vol. 22, no. 4, pp. 1263-1275, 2022.
[http://dx.doi.org/10.3233/JCM226044]
[25]
J.H. Yin, C.M. Bo, Y.P. Liu, and Y. Lei, "Adaptive iterative learning PID control based on Markov parameter tuning", J. Chem. Eng. Chinese Uni., pp. 1490-1498, 2019.
[26]
B. Huang, S. Wu, S. Huang, X. Fu, and Y. Yang, "Clutch control of a hybrid electrical vehicle based on neuron-adaptive PID algorithm", Cluster Comput., vol. 22, no. S5, pp. 12091-12099, 2019.
[http://dx.doi.org/10.1007/s10586-017-1562-4]
[27]
C. Napole, O. Barambones, I. Calvo, and J. Velasco, "Feedforward compensation analysis of piezoelectric actuators using artificial neural networks with conventional PID controller and single-neuron PID based on hebb learning rules", Energies, vol. 13, no. 15, p. 3929, 2020.
[28]
C.A. Aung, Y.V. Hote, G. Pillai, and S. Jain, "PID controller design for solar tracker via modified ziegler nichols rules", In 2nd International Conference on Smart Power & Internet Energy Systems (SPIES) , pp. 531-536, Bangkok, Thailand, 2020.
[http://dx.doi.org/10.1109/SPIES48661.2020.9243009]
[29]
S.S. Pakalapati, G.G. Chary, A.K. Yadaw, S. Kumar, H.K. Phulawariya, and R. Kuma, "A prosthetic hand control interface using ESP8266 Wi-Fi module and Android application", In International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) ., pp. 1-3 , Coimbatore, India, 2017.
[http://dx.doi.org/10.1109/ICIIECS.2017.8275978]
[30]
Z. Wan, J. Li, W. Duan, Y. Chen, and N. Xiong, "Lightweight and universal intelligent service platform in indoor environment", In: Cluster Comput., vol. 22. no. S 4, pp. 9187-9198. 2019
[31]
L.P. Truong, "Cost-effective evaluation, monitoring, and warning system for water quality based on internet of things", Sens. Mater., vol. 33, no. 2, pp. 575-583, 2021.
[http://dx.doi.org/10.18494/SAM.2021.2442]

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