WiMi Developed a Lightweight Multi-sectoral Data Sharing System Based on Consortium Blockchains

BEIJING, March. 11, 2024 /PRNewswire/ — WiMi Hologram Cloud Inc. (NASDAQ:WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced that it developed a lightweight multi-sectoral data-sharing system based on consortium blockchains. This system can connect data between different departments by creating a network of consortium blockchains and ensuring data security and privacy. In this process, data access and integration become a crucial step. This process involves collecting data from various sectors and integrating them into a unified data platform for subsequent analysis and sharing.

Consortium blockchain is a blockchain-based distributed ledger technology that allows multiple participants to share and manage data in a coalition. Compared to public chains, a consortium blockchain is more suitable for data-sharing scenarios between multiple sectors, as it offers higher performance and scalability and can be customized to meet different needs. The core value of consortium blockchains lies in cross-industry data sharing and collaboration. Through smart contracts, different departments can upload data to consortium blockchains, forming a decentralized storage network. Each node has a complete data backup to ensure that the data will not be tampered with or lost. Meanwhile, only authorized users can access the data on the chain, ensuring data privacy and security.

WiMi’s lightweight multi-sectoral data sharing based on consortium blockchains is an efficient, secure and reliable way to share data. Through rational design and implementation, it can effectively facilitate data sharing and collaborative work among multiple departments and promote business development and innovation. However, realizing this goal requires overcoming some challenges, such as data silos and information barriers. Lightweight multi-sectoral data sharing based on consortium blockchains rationally designed data access and integration, data query and sharing, data analysis and mining will help to realize the value of data.

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