Optimizing College Students' Physical Health Monitoring Through Biotechnology and Edge Computing Integration

Yi Ding
Pingdingshan Vocational and Technical College, Pingdingshan, Henan, 467000, China

DOI:https://doi.org/10.5912/jcb2532

Abstract:

To enhance the analysis and monitoring of college students' physical health, this study develops an advanced health monitoring system integrating biotechnology optimization with edge computing technology. The system utilizes wearable hardware to collect physiological data, optimizing health analysis processes through biotechnology-driven insights. Recognizing the limitations of traditional cloud computing—such as latency and bandwidth constraints—the research introduces an edge computing platform tailored for wearable applications. This platform enables efficient data processing at the edge, reducing reliance on cloud resources and enhancing real-time monitoring capabilities. The coordinated operation of edge and cloud systems ensures optimized performance, addressing challenges related to data transmission delays and resource limitations. Additionally, the study applies the edge computing platform to develop a new physical health monitoring system, validated through experimental simulations within a controlled operational environment. The results demonstrate the system’s effectiveness in improving monitoring accuracy and reducing latency, contributing to the advancement of biotechnology-based health solutions. This research offers a scalable, efficient framework for real-time physical health monitoring, aligning with the commercial biotechnology industry's objectives of precision health management and data-driven optimization.