Journal of Applied Science and Engineering

Published by Tamkang University Press

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Design of Multi-mode Switching and Safety Protection System for Home Smart Maintenance Beds and Chairs Based on Edge Computing

 2026

 Volume 33

Xiao Wang1, Huayang Meng2, and Hui Liu1

1School of Intelligent Engineering, Taishan College of Science and Technology, Tai’an 271000, China

2Medical Engineering Department, The Second Affiliated Hospital of Shandong First Medical University, Tai’an 271000, China

Received: April 21, 2026
Accepted: June 2, 2026
Publication Date: July 18, 2026

上傳圖片

Distribution of angle control error under different load conditions

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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To address high cloud delay, large switching impact, lagging safety response, and insufficient hierarchical protection in traditional bed-chair systems, this paper constructs an edge-computing-based home intelligent nursing bed-chair architecture, establishes a kinematic model and trajectory planning for multi-mode switching, and proposes an adaptive fuzzy PID smooth switching control algorithm with a load-adaptive tuning mechanism
and synchronization strategy, along with a hierarchical safety decision method using improved fuzzy evaluation. Test results show that across six common modes, maximum angle error is below 0.35◦, The peak acceleration is only 0.22 m/s2, and impact acceleration stays within 0.25 m/s2. Under edge deployment, average safety response time is 147 ms, protection success rate 99.2%, false alarm rate below 0.8%, and no fault shutdown after 72 hours. The system maintains excellent stability and robustness under varying loads and scenarios, significantly outperforming traditional PID and cloud-based systems. This study provides a feasible technical path for low-latency control and intelligent upgrading of home rehabilitation aids, suitable for home-based elderly care, community healthcare, and home hospital beds.

Keywords: computer network; edge computing; intelligent maintenance bed and chair; multi-mode switching; adaptive fuzzy PID

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