Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2023, 5(7); doi: 10.25236/FSST.2023.050703.

A Smart Design Based on User Experience for Lighting System in Smart Home


Juntian Liu1, Chenyu Zhang2, Jiayu Wang3

Corresponding Author:
Juntian Liu

1Electronic Information Engineering, Civil Aviation Universities of China, Tianjin, China

2Communication Engineering, Shaoguan University, Shaoguan, Guangdong, China

3Harbin No. 3 High School, Harbin, Heilongjiang, China


Smart home and the Internet of Things (IoT) have become integral parts of our daily lives. This paper provides an overview of the concept, development history, application scenarios, and future trends of smart home and IoT. The paper introduces the fundamental concepts of smart home and IoT, including the use of sensors, communication technology, and cloud computing. It presents the design of a highly automated smart home lighting system that incorporates traditional smart home technology and IoT technology, allowing the system to use big data to determine when to turn on the lights. The proposed method is tested through a mathematical model and theoretical simulations, followed by an actual simulation using a 51 microcomputer. The paper discusses potential future developments in the field of smart home and IoT, such as the integration of artificial intelligence and machine learning.


Smart home, Internet of Thing, STM51, ESP8266, Digital twins

Cite This Paper

Juntian Liu, Chenyu Zhang, Jiayu Wang. A Smart Design Based on User Experience for Lighting System in Smart Home. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 7: 13-19. https://doi.org/10.25236/FSST.2023.050703.


[1] J. Liu, M. Wang and X. Wang, "Research on General Model of Intelligence Level for Smart Home, " 2022 7th International Conference on Computer and Communication Systems (ICCCS), Wuhan, China, 2022, pp. 123-129. 

[2] T. Chaurasia and P. K. Jain, "Enhanced Smart Home Automation System based on Internet of Things," 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India, 2019, pp. 709-713. 

[3] T. D. Kazadi, K. Sibanda and N. Tamuka, "A Mobile-Based Control System for Smart Homes, " 2022 1st Zimbabwe Conference of Information and Communication Technologies (ZCICT), Harare, Zimbabwe, 2022, pp. 1-6. 

[4] Bao Junmin. MQTT Protocol and Alibaba Cloud's Textile Equipment Monitoring System Design [J]. MCU and embedded system applications, 2020, 20(4):32-35. 

[5] R. K. Deore, V. R. Sonawane and P. H. Satpute, "Internet of Thing Based Home Appliances Control, " 2015 International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, India, 2015, pp. 898-902. 

[6] G. Liu and X. Chen, "Smart Home System Based on Embedded Control and Wireless Communication," 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Vientiane, Laos, 2020, pp. 547-550. 

[7] Jiang Changmao, Liu Honglin, Liang Runhua. Research and Implementation of Smart Home Environmental Monitoring System Based on ZigBee and WiFi Wireless Sensor Network [J]. Technology and innovation, 2018(1):45-48

[8] V. Govindraj M. Sathiyanarayanan and B. Abubakar, "Customary homes to smart homes using Internet of Things (IoT) and mobile application, " 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bengaluru, India, 2017, pp. 1059-1063. 

[9] Li Yong, Zhou Xianzi, Qian Cheng, et al. Research on Smart Home System Centered on Mobile Phone [J]. Scientific and technological innovation, 2016(15):190-190. 

[10] Wang Xinying, Chen Zhigang. Application of digital twin software in the construction of intelligent pipe network [J]. Chemical Engineering Design Communications, 2023, 49(04):22-24+63. 

[11] T. Chaspari, J. Kim, C. Lee, Y. Ham, S. Lee and C. R. Ahn, "A Digital Twin City Model for Capturing Walkability Distress of Elderly Adults, " 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI), Boston, MA, USA, 2022, pp. 1-2. 

[12] Y. Liu, "Research on the Design of Digital Twin System for Construction Safety," 2022 2nd International Signal Processing, Communications and Engineering Management Conference (ISPCEM), Montreal, ON, Canada, 2022, pp. 254-258. 

[13] Yin Lichen, Yang Kaiyu, Zhao Lulu, et al. Design and implementation of smart home system based on machine learning[J]. Internet of Things technology, 2023, 13(01):129-133+136

[14] Qiao Youwei, Meng Yongzhe, Ai Xishun, et al. Research on smoke recognition of range hood based on neural network model learning algorithm[C]//China Household Electrical Appliances Association. Proceedings of 2022 China Household Appliances Technology Conference. "Electric" magazine, 2023:4. 

[15] Y. -H. Lin, H. -S. Tang, T. -Y. Shen and C. -H. Hsia, "A Smart Home Energy Management System Utilizing Neurocomputing-Based Time-Series Load Modeling and Forecasting Facilitated by Energy Decomposition for Smart Home Automation, " in IEEE Access, vol. 10, pp. 116747-116765, 2022.