Research on the Integration of Blockchain and IoT-Oriented AI in Intelligent Laboratory Mouse Management Systems: Web 3.0 Technology-Driven Applications and Practices for Laboratory Animal Management

Abstract

The technical architecture establishes a multi-node data certification platform via consortium blockchain, integrates the InterPlanetary File System (IPFS) for distributed encrypted storage of experimental data, and automates ethical reviews, experimental protocol supervision, and resource allocation through smart contracts. Innovatively, the system mints NFT-based digital identity certificates with unique digital fingerprints to comprehensively document genetic profiles, experimental histories, and medical records of individual mice, ensuring verifiability and tamper-resistance of full-lifecycle data.At the governance level, a token-based economic model and decentralized autonomous organization (DAO) framework are introduced. Dynamic incentive mechanisms promote secure cross-institutional research data sharing, while on-chain voting protocols enable decentralized scientific decision-making, effectively balancing open data access with privacy protection requirements. This system establishes a trusted data infrastructure spanning "biological individuals-experimental processes-research outcomes," providing a scalable Web 3.0 paradigm for digital transformation in life sciences. It drives the evolution of laboratory animal management toward intelligent, standardized, and ethics-compliant practices.