Education, Science, Technology, Innovation and Life
Open Access
Sign In

Design and Implementation of a Smart Community System Based on Multi-Node Cooperative Sensing and Edge Control

Download as PDF

DOI: 10.23977/acss.2026.100206 | Downloads: 2 | Views: 69

Author(s)

Xilin Chai 1, Zhaoyong Shao 2, Qingxiao Song 1, Xin Chai 1, Yingjie Ren 1

Affiliation(s)

1 Lanzhou Petrochemical University of Vocational Technology, Lanzhou, Gansu, 730060, China
2 PetroChina Lanzhou Petrochemical Company, Lanzhou, Gansu, 730060, China

Corresponding Author

Xilin Chai

ABSTRACT

To address the issues of isolated sensing nodes and decentralized control and decision-making in traditional smart community management systems, we have designed and implemented a smart community control system based on multi-node collaborative sensing and control. The system employs a master-slave dual-MCU distributed architecture, integrating multi-source sensors such as temperature, smoke, infrared heat detection, and light sensors, and incorporating modules such as RFID and IC card readers. It comprises five sub-control nodes: lighting, fire and theft prevention, access control, parking management, and Bluetooth relay control. Through multi-source data fusion via edge MCUs, the system enables fire risk assessment and graded alarms for the residential community. Joint hardware and software testing results indicate that all nodes function normally, data transmission is stable, control is effective, and measurement errors for all sensor monitoring values are within acceptable limits. Under multi-parameter joint evaluation, the system effectively suppresses false alarms and accurately triggers the highest-level alarm in simulated open-flame scenarios. This solution provides a feasible reference for the construction of low-cost, highly reliable smart residential communities.

KEYWORDS

Smart Community; Multi-Node Collaboration; Multi-Source Data Fusion; Embedded Systems

CITE THIS PAPER

Xilin Chai, Zhaoyong Shao, Qingxiao Song, Xin Chai, Yingjie Ren. Design and Implementation of a Smart Community System Based on Multi-Node Cooperative Sensing and Edge Control. Advances in Computer, Signals and Systems (2026). Vol. 10, No. 2, 49-58. DOI: http://dx.doi.org/10.23977/acss.2026.100206.

REFERENCES

[1] Edge Computing Industry Alliance. Edge Computing Reference Architecture 3.0, White Paper of the Edge Computing Industry Alliance. [R]. 2018.
[2] Zhao Yuelin, Wang Ying, Shang Junling, Xu Bing. Design of a Smart Campus Security Alert Information Push System Based on Dynamic Data Aggregation [J]. Cybersecurity and Informatization, 2026, (03):85-86.
[3] Li Yanrong. Dynamic lighting environment design for smart parks driven by digital twins: Lighting demand prediction and multi-scenario adaptive control [J]. China Lighting & Electrical Appliances, 2026, (02):24-27.
[4] Miao Jieyu, Liu Liyuan, Sun Keke, Song Can, Song Mingxuan, Zhu Xiangxuan. Design and Application of a 5G Smart Campus Security System with Cloud-Edge Collaboration [J]. Fujian Computer, 2026,42(02):88-92.
[5] Li Guoxin, Chai Xilin. Design of a Multi-Node Distributed Smart Agricultural Greenhouse Monitoring System [J]. Software, 2022,43(05):56-60.
[6] Gan Peichao. Research on Simulation and Layout Technology for Communication Network Nodes in Smart Parks [J]. Industrial Control Computer, 2025,38(12):107-108.
[7] Bin Xu, Wenguang Zhao, Xiaoming Wang, Bo Gao, Wei Ma. R& D and Application of Smart Park Energy Control Platform Combined with MLM Technology[J]. Applied Mathematics and Nonlinear Sciences,2024,9(1).
[8] Ma Shizi, Liu Haishi, Pan Nan, Wang Sheng. Study on an autonomous distribution system for smart parks based on parallel system theory against the background of Industry 5.0[J]. Journal of King Saud University-Computer and Information Sciences,2023,35(7).
[9] Chen Hong, Jiang Wenxian, Huang Liping, Yu Chongchong. Research on Feature Fusion Methods for Multi-source Data in Wireless Sensor Networks [J]. Journal of Sensor Technology, 2024,37(12):2131-2136.
[10] Yunxin Kuang, Yuling Liu. Analysis and Design of the Smart Park Entry Logistics Vehicle Management System[J]. Journal of Engineering System,2023,1(2).

Downloads: 48411
Visits: 1107026

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.