Design and Implementation of Smart Home System Based on STM32 Microcomputer

Ma, Gao; Chen, Lulu; Wang, Yixiao; Fan, Jiyao; Liu, Jiaxuan; Tian, Lei

doi:10.2478/ijanmc-2023-0072

Abstract

With the rapid development of the Internet of Things science and technology, people′s living standards are gradually improving, and the requirements for the living environment are also getting higher and higher, which makes smart homes gradually enter thousands of households. The purpose of this project is to design a system that integrates hardware and software and can measure and transmit various data. Among them, the hardware part includes data measurement and data display. The data measurement module consists of DHT11 temperature and humidity sensor, DSM501 particle number sensor and MQ3 alcohol concentration sensor. The experimental data will be displayed on the TFTLCD screen. The system software is partly run on the Windows operating system, using the Python language development. This system takes ESP8266 module as the transfer station, realizes the communication between STM32 development board and computer. The experiment shows that the system has the advantages of high measurement data accuracy, fast data refresh speed, complete data transmission, simple design, high reliability, easy installation, economical and practical, and has certain practical value in life, production, industry and other fields.

References

P Qian, Y Z Zhang, and Y Li, “Design of Voice Control System for Smart Home Based on STM32,” Applied Mechanics & Materials, vol. 734, Feb. 2015, pp. 369–374, doi:10.4028/www.scientific.net/AMM.734.369.
Open DOI Search in Google Scholar Back to article
H Ping, and C. Tang, “Indoor detection based on MLX90621 infrared sensor,” Electronic Measurement Technology, vol. 39, Aug. 2016, pp.118–121, doi: 10.19651/j.cnki.emt.2016.08.025.
Open DOI Search in Google Scholar Back to article
F Tian, and X Long, “Design of smart home system based on basic radio frequency wireless sensor network,” International Journal of Online Engineering,vol. 14, Apr. 2018, pp.126–136, doi:10.3991/ijoe.v14i04.8389.
Open DOI Search in Google Scholar Back to article
M Liao, GG Nie, J Zhao, and X He, “Design of a Baseband Signal for the 406 MHz Satellite Emergency Radio Transmitter Based on STM32,” ELECTRONICS, vol. 12, Jun. 2023, doi:10.3390/electronics12122717.
Open DOI Search in Google Scholar Back to article
M Z Li, M Song, and L Gao, “Design of Smart Home SMystem Based on Zigbee,”Applied Mechanics and aterials, vol. 635-637, Sep. 2014, pp.1086–1089, doi:10.4028/www.scientific.net/AMM.734.369.
Open DOI Search in Google Scholar Back to article
M W Jian, and B W Hai, “Design of Smart Home Management System Based on GSM and Zigbee,” Applied Mechanics and Materials, vol. 842, Nov. 2013, pp.703–707, doi:10.4028/www.scientific.net/AMR.842.703.
Open DOI Search in Google Scholar Back to article
V. Tiwari, A. Keskar, and N. C. Shivaprakash, “Design of an IoT Enabled Local Network Based Home Monitoring System with a Priority Scheme,” Eng. Technol. Appl. Sci. Res., vol. 7, Apr. 2017, pp. 1464–1472, doi:10.48084/etasr.1033.
Open DOI Search in Google Scholar Back to article
V. T. Huu and Monga Vishal, “Fast Low-Rank Shared Dictionary Learning for Image Classification,” IEEE Transactions on Image Processing, vol. 26, Jul. 2017, pp. 5160–5175, doi:10.1109/TIP.2017.2729885.
Open DOI Search in Google Scholar Back to article
C. L. Wu, and L. C. Fu, “Design and realization of a framework for human-system interaction in smart homes,” IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 42, Jul. 2011, pp. 15–31, 2012, doi:10.1109/TSMCA.2011.2159584.
Open DOI Search in Google Scholar Back to article
RN Sonawane, AS Ghule, AP Bowlekar, and AH Zakane. “Design and Development of Temperature and Humidity Monitoring System,” Agricultural Science Digest-A Research Journal, vol. 39, Jul. 2019, pp.114–118, doi:10.18805/ag.D-4893.
Open DOI Search in Google Scholar Back to article
W. d. S. Costa, W. G. V. d. Santos, H. R. d. O. Rocha, M. E. V. Segatto and J. A. L. Silva, “Power Line Communication based SmartPlug Prototype for Power Consumption Monitoring in Smart Homes,” IEEE Latin America Transactions, vol. 19, Nov. 2021, pp. 1849–1857, doi: 10.1109/TLA.2021.9475618.
Open DOI Search in Google Scholar Back to article
X Ji Gang, “A Routing Algorithm Based on Zigbee Technology,” International Journal of Online Engineering, vol. 14, Nov. 2018, pp. 90–102, doi:10.3991/ijoe.v14i11.9515.
Open DOI Search in Google Scholar Back to article
L Quan, L Xiaorui,Q Zizhong, Z Duzhong, and X Wenjun, “An adaptive hybrid ARQ method for coexistence of ZigBee and WiFi,”vol. 10, Sep. 2017, pp. 310–319, doi:10.1504/IJHPCN. 2017.086535.
Open DOI Search in Google Scholar Back to article
I. A. Zualkernan, A. R. Al-ali, M. A. Jabbar, I. Zabalawi and A. Wasfy, “InfoPods: Zigbee-based remote information monitoring devices for smart-homes,” IEEE Transactions on Consumer Electronics, vol. 55, Aug. 2009, pp. 1221–1226, doi: 10.1109/TCE.2009.5277979.
Open DOI Search in Google Scholar Back to article
Z. Zhipeng, X Jiaoyuan, W Binquan, G Yiping, “f Hierarchically designed nanocomposites for triboelectric nanogenerator toward biomechanical energy harvester and smart home system,” Nano Energy, vol. 95, Feb. 2022, pp. 107047, doi:10.1016/j.nanoen. 2022. 107047.
Open DOI Search in Google Scholar Back to article

Design and Implementation of Smart Home System Based on STM32 Microcomputer

Abstract

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