A Life Cycle Management Architecture for Power Equipment Based on Device Fingerprinting

In today’s rapidly evolving technological landscape, ensuring the efficiency, security, and longevity of power hardware and software equipment is paramount. This paper proposes a comprehensive life cycle management method that leverages device fingerprinting technology to optimize the management of such equipment throughout its entire life cycle. By uniquely identifying each device based on its distinct characteristics, the method establishes a robust security framework that enhances protection against unauthorized access and potential cyber threats. Moreover, the method facilitates efficient monitoring, analysis, and optimization of power equipment performance, leading to improved reliability and reduced downtime. Additionally, the integration of digital twin further enhances the management process by providing real-time insights and predictive analytics, enabling proactive maintenance and decision-making. Through a detailed exploration of the method’s components and implementation strategies, this paper offers insights into how organizations can effectively manage their power infrastructure while simultaneously enhancing security, operational efficiency, and leveraging the capabilities of digital twin.