Design of Intellectual Property Service System Based on Renewable Energy Blockchain Technology-Taking Guangxi, China as an Example

Abstract

In the field of intellectual property protection research, traditional blockchain technology ignores energy efficiency issues and lacks scalability and processing speed, and the existing system cannot meet the local intelligent recommendation needs in Guangxi. This paper combines the characteristics of blockchain technology and renewable energy to design an intellectual property service system suitable for Guangxi. Blockchain technology is used to ensure the security of intellectual property data, prevent data tampering and loss, and smart contracts are used to automatically manage data access and permissions to reduce manual operations. Taking full advantage of Guangxi's abundant renewable energy resources, photovoltaic and wind power generation solutions are adopted, and energy management modules are designed to dynamically adjust energy consumption, reduce energy waste, and improve overall energy utilization efficiency, making it efficient and green. The historical data of Guangxi intellectual property applicants is analyzed, and the BERT (Bidirectional Encoder Representations from Transformers) intelligent algorithm is used to intelligently recommend relevant patent and trademark services to improve service efficiency and user experience. A seamless connection between the Guangxi intellectual property service system and the national intellectual property database is achieved, and a cross-platform data interaction interface is built to support multi-terminal and multi-system collaboration, improving the system's adaptability and expansion capabilities. Experimental results show that the energy efficiency ratio of the proposed system increases from 0.72 to 0.91 under the task volume of 1000 to 8000, showing strong energy efficiency. TPS gradually increases from 150 to 310, and the processing capacity is significantly improved; the average precision and average recall of BERT-based intelligent recommendation in all age groups were 0.80 and 0.83, respectively, which has stronger adaptability and effect in personalized recommendation tasks. The research combines blockchain, renewable energy, and intelligent recommendation systems to improve the security, efficiency, and green sustainability of Guangxi's intellectual property services. It innovatively solves the shortcomings of traditional blockchain in energy efficiency and processing speed and provides an important demonstration for the intelligent and green development of the intellectual property field. It has broad promotion potential and far-reaching impact.