Blockchain-Based Trusted Data Collection and Intelligent Optimization for Efficient Distributed Power Resource Management

This study establishes resource management, blockchain business and advanced information systems to enhance resource management and allocation, thereby improving the efficiency and effectiveness of distributed power data management. By leveraging blockchain for autonomous management, we address cross-business integration and data sharing needs. We propose a blockchain-based trusted data collection scheme for distributed power systems, which is designed according to a three-tier blockchain architecture and tailored to the practical aspects of power terminal access. Terminals are categorized into management and controlled nodes with distinct permissions, fostering greater participation in system maintenance, reducing computational and storage overhead and enhancing processing efficiency. An innovative intelligent optimization dynamics approach is introduced for data collection, optimizing performance in multi-convergence scenarios. The optimization of distributed power data is integrated with the solution process of the water cycle algorithm, where each event group in the sequence is mapped to the intelligent waterfall algorithm. Given the high demand and stringent quality requirements for energy resources, ensuring their security, reliability and efficient management has become a critical aspect of power production. Compared to traditional data storage techniques, the proposed method significantly improves data security and reliability.