AI-Driven BMS Optimization and DC-DC Converter Design in a Cloud-Enabled Cognitive Ecosystem: SAP-Powered Architecture with Secure Data Vaulting and Policy-Based Content Governance
DOI:
https://doi.org/10.21590/Keywords:
AI-driven BMS optimization, DC–DC converter design, Cloud-enabled cognitive ecosystem, SAP-powered architecture, Secure data vaulting, Policy-based content governance, Machine learning (ML), Predictive analytics, Cyber resilience, Energy efficiency, Healthcare and enterprise modernization.Abstract
The rapid convergence of Artificial Intelligence (AI), cloud-native cognitive ecosystems, and intelligent power electronics is reshaping the landscape of Building Management Systems (BMS) and digital infrastructure optimization. This paper presents an integrated framework for AI-driven BMS optimization and DC–DC converter design within a cloud-enabled, SAP-powered cognitive architecture. The proposed system combines machine learning (ML), predictive analytics, and policy-based content governance with secure data vaulting mechanisms to achieve energy-efficient, reliable, and cyber-resilient operations.
The architecture employs AI algorithms to optimize real-time energy flow, fault detection, and adaptive power regulation in multi-layered BMS environments. The DC–DC converter design integrates AI-enhanced control loops that autonomously tune parameters for improved conversion efficiency, reduced switching losses, and stable output regulation across dynamic load conditions. This optimization process is further augmented through cloud-based simulation environments, enabling model refinement and fault-tolerant validation across distributed systems.
Secure Cyber Data Vaults ensure the immutability and encryption of operational data, protecting critical power and system information against ransomware and compliance breaches. The SAP-powered governance layer introduces policy-based access controls, audit trail management, and forensic analytics to guarantee transparency, traceability, and adherence to global data protection regulations such as HIPAA and GDPR.
By integrating AI-driven optimization, power electronics design, and intelligent cloud governance, this research establishes a blueprint for energy-aware, self-healing, and secure BMS infrastructures. The proposed model supports scalable deployment across healthcare, industrial, and enterprise ecosystems—enhancing operational efficiency, sustainability, and resilience in the era of digital transformation.


