Journal of Applied Science and Engineering

Published by Tamkang University Press

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Multi Sensor Fusion and Adaptive Scheduling of Sanda Teaching System for Intelligent Device Health Monitoring

 2026

 Volume 33

Yan Li

College of Physical Education, Shaanxi Xueqian Normal University, Xi’an, Shaanxi, 710100, China

Received: April 19, 2026
Accepted: June 2, 2026
Publication Date: July 25, 2026

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Simulation diagram of multi-sensor fusion and adaptive scheduling in Sanda teaching system.

 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.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.202610_33.057  

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This article focuses on the needs of Sanda teaching scenarios and intelligent device health monitoring, and builds a distributed Sanda teaching system based on multi-sensor fusion and reinforcement learning. The system integrates multiple types of sensors to synchronously collect teaching data such as training actions and striking force, as well as equipment operating status, achieving collaborative collection and analysis of two types of data. Building a distributed scheduling model based on reinforcement learning, combined with regional teaching conditions, student training differences, and equipment status, to ensure efficient collaboration in cross regional teaching. By utilizing reinforcement learning reward mechanisms to iterate adaptive maintenance strategies, device stability and resource utilization can be improved. At the same time, develop personalized training plans based on perceptual data to assist teachers in precise teaching. This study can provide reference for the intelligent upgrading and distributed teaching innovation of Sanda teaching.

Keywords: Reinforcement Learning; Multi-Sensor Fusion; Intelligent Device Health Monitoring; Sanda Teaching System; Autonomous Scheduling; Adaptive Maintenance

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