Application of Blockchain Technology for Continuous Monitoring and Defect Detection in Wireless Power Transfer Networks

Abstract

Power transfer is a promising new technology Wireless charging networks are being deployed for a RES array, which will be used in electric vehicles, industrial automation, and biomedical implants. Yet, due to power losses, electromagnetic interference, as well as the potential of unauthorized access or malicious attacks, guaranteeing the reliability and security of WPT systems is still a big challenge. Conventional monitoring and defect detection mechanisms need to be more efficient, reactive in real-time, and prone to data tampering. Implementation of the blockchain is a promising usable solution to solve these issues due to decentralized, tamper-proofed and transparent data management characteristics of the technology. At the same time, the research presents results on the implementation of one of the blockchain-oriented technologies in terms of constant control of normal operating conditions and detection of defects in wireless power transfer (WPT) networks, thus improving the efficiency of the operation while ensuring the security of the entire system. This study presents a novel data integrity assurance and autonomous fault detection framework for WPT systems by integrating blockchain with real-time sensor networks and artificial intelligence (AI)-based analytics. Automated Responses: Smart contracts allow automatic reactions when anomalies are detected, minimizing downtime and maintenance costs. Moreover, it enables secure and transparent records of power transactions using distributed ledger technology (DLT), preventing unauthorized access to energy and enhancing accountability of the system. Results of simulation and experimental validation show the gain in defect detection accuracy, reduced fault reporting latency, and improved cyber-attack resilience of blockchain-enabled WPT networks. This research proposes a pioneering model that can utilize blockchain-based monitoring solutions to enhance the design of WPT networks, providing an innovative proof of concept that can address the limitations of such systems. In the future, research directions that address challenges such as optimizing consensus mechanisms specifically for low-power IoT devices and investigate hybrid blockchain models could improve scalability and increase transaction speed to facilitate potential real-world applications of WPT in practical cases.