Jiangsu Xioe Electronics Applies for Patent on "Data Planning Method for Meter Calibration Data Uploading to Blockchain," Enhancing Data Security and Reliability

Jiangsu Xioe Electronics Applies for Patent on "Data Planning Method for Meter Calibration Data Uploading to Blockchain," Enhancing Data Security and ReliabilityOn March 21, 2025, the State Intellectual Property Office of China announced that Jiangsu Xioe Electronics Co., Ltd

Jiangsu Xioe Electronics Applies for Patent on "Data Planning Method for Meter Calibration Data Uploading to Blockchain," Enhancing Data Security and Reliability

On March 21, 2025, the State Intellectual Property Office of China announced that Jiangsu Xioe Electronics Co., Ltd. had applied for a patent titled "Data Planning Method for Meter Calibration Data Uploading to Blockchain," with publication number CN119646494A and an application date of November 2024. This invention marks a significant advancement for Jiangsu Xioe Electronics in integrating blockchain technology with electricity meter calibration data management, providing a new technological approach to enhance data security and reliability.

The patent abstract details the technical solution of this method. The invention falls within the fields of blockchain technology and data management. Its core lies in proposing an efficient and reliable data planning method for uploading electricity meter calibration data to a blockchain. The patent describes a multi-source data management system that cleverly integrates data acquisition, processing, and storage into a complete closed-loop management system.

This system consists of three core subsystems: a multi-source data storage system, a multi-source data computation system, and a multi-source data management system. The multi-source data storage system handles the initial processing and preparation of data. It includes five key modules: data cleaning, data dimensionality reduction, data fusion, data verification, and blockchain modules. Each module performs its specific function, collaboratively completing data cleaning, dimensionality reduction, fusion, and verification to ultimately deliver rigorously audited data to the blockchain module for storage.

The data cleaning module cleanses raw data, removing redundant and erroneous information to ensure data purity. The data dimensionality reduction module aims to reduce data dimensions, improving processing efficiency and preventing storage and computational burdens caused by data redundancy. The data fusion module integrates data from various sources into a unified format for subsequent processing and analysis. The data verification module validates data accuracy through multi-dimensional checks, ensuring reliability. Finally, the blockchain module leverages the immutability and transparency of blockchain technology to provide a secure and reliable storage environment for the data.

The multi-source data computation system analyzes and evaluates the data. Based on the processed data from each module in the multi-source data storage system, it calculates key indicators such as effective cleaning index, effective dimensionality reduction index, effective verification index, and effective distributed regional information. These indicators effectively evaluate data processing quality and efficiency, supporting subsequent decision-making. Importantly, by calculating the effective verification index, the system can perform final fault detection before data enters the blockchain module, ensuring accuracy and further enhancing reliability. This verification not only complies with the blockchain module's detection standards but also provides effective guidance for its use, preventing erroneous data from being uploaded.

The multi-source data management system, based on the results computed by the multi-source data computation system, manages the modules categorically, enabling effective monitoring and coordination of the entire data management process. Rational categorization improves data resource organization and utilization, enhancing management efficiency.

Overall, the patented data planning method for uploading electricity meter calibration data to the blockchain, through the multi-source data management system, effectively integrates data acquisition, processing, verification, and storage, achieving full lifecycle management of electricity meter calibration data. The method fully utilizes the advantages of blockchain technology, ensuring data security and reliability while improving management efficiency. This is crucial for enhancing the accuracy and standardization of electricity meter calibration work and provides new ideas and references for data management in other fields.

Jiangsu Xioe Electronics Co., Ltd., established in 1999 and located in Nantong, Jiangsu Province, is a company primarily engaged in the instrument and meter manufacturing industry. According to Tianyancha (a Chinese business information platform), its registered capital and paid-in capital are both 118 million RMB. Beyond this patent application, the company demonstrates strong corporate strength. Tianyancha data shows that Jiangsu Xioe Electronics has invested in 3 companies, participated in 31 bidding projects, holds 14 trademarks, 83 patents, and 39 administrative licenses. This information indicates extensive experience and technological accumulation in the instrument and meter manufacturing field, along with active market participation.

The application for the "Data Planning Method for Meter Calibration Data Uploading to Blockchain" patent reflects Jiangsu Xioe Electronics' investment in technological innovation and its high regard for data security and reliability. This not only benefits the company's competitiveness but also provides new ideas and solutions for data management across the industry, contributing to industry development. It is expected that Jiangsu Xioe Electronics will continue to achieve greater success in technological innovation and industrial development. The application of this patented technology will further optimize the electricity meter calibration process, improving data accuracy and security, and significantly promoting the informatization of the power industry.