A Patent Granted for a Blockchain-Based Experimental Data Storage Method: A New Approach to Enhancing Data Management Efficiency

A Patent Granted for a Blockchain-Based Experimental Data Storage Method: A New Approach to Enhancing Data Management EfficiencyOn December 9, 2024, the State Intellectual Property Office of China announced that Beijing Qifeng Technology Co., Ltd

A Patent Granted for a Blockchain-Based Experimental Data Storage Method: A New Approach to Enhancing Data Management Efficiency

On December 9, 2024, the State Intellectual Property Office of China announced that Beijing Qifeng Technology Co., Ltd. successfully obtained a patent for a "Blockchain-Based Experimental Data Storage Method," with publication number CN119089518A and an application date of August 2024. This patent marks the advent of a new method leveraging blockchain technology to improve the efficiency of experimental data storage and management.

The patent aims to address the decentralized and chaotic nature of existing experimental data storage and management methods, providing a more secure, efficient, and transparent solution.

The patent abstract details the specific process of this blockchain-based method. First, the system acquires the experimental data to be stored. Next, it compares this data against existing data within the blockchain network to calculate a redundancy parameter. Based on this parameter, the system determines if the data already exists, preventing duplicate entries. This step is crucial for avoiding data redundancy and errors, ensuring data accuracy and integrity.

Based on the redundancy check, the system determines the blockchain storage behavior. If the data is new, it's stored; if it's a duplicate, the system might update existing data or reject storage, thus improving efficiency and reducing wasted storage space. This intelligent judgment mechanism enhances processing speed and accuracy.

Subsequently, the system stores the data based on the determined behavior and the user's access permissions. This ensures data security and access control, allowing only authorized users to access and modify specific data. This precise permission control prevents data leaks and unauthorized access, safeguarding experimental data.

This blockchain-based method effectively addresses key issues in existing experimental data management. Traditional methods are often decentralized and disorganized, with data scattered across various databases, servers, and file systems, making unified management and efficient utilization challenging. Data searching, updating, and sharing present significant hurdles, leading to potential data loss, corruption, or inconsistencies.

This patented blockchain approach offers a decentralized, tamper-proof data storage platform. All data is stored on the blockchain in encrypted form, ensuring integrity and security. Once stored, data is extremely difficult to alter or delete, guaranteeing authenticity and reliability. Blockchain's transparency and traceability further enhance efficiency and convenience, facilitating quick data retrieval.

Furthermore, this technology significantly improves data sharing efficiency. Since data is stored on the blockchain, multiple users can access and share it concurrently without relying on centralized servers or databases. This improves sharing efficiency and reduces redundant storage.

In conclusion, Beijing Qifeng Technology Co., Ltd.'s patented "Blockchain-Based Experimental Data Storage Method" provides a novel solution for experimental data management. By utilizing blockchain technology, it effectively addresses the decentralized and chaotic nature of existing methods, enhancing data security and efficiency, and promoting data sharing and collaboration. This technology will revolutionize data management in scientific research, accelerating the translation and application of research findings. The successful patent application demonstrates China's continuous innovation and breakthroughs in blockchain technology applications. With further development and promotion, this technology is expected to play a crucial role in various fields, providing strong technical support for secure and efficient data management. Its broad applications extend beyond scientific research to industries requiring extensive data management, such as healthcare and finance, making its future prospects highly promising.