（文/罗叶馨梅）12月10日，泰凌微（688591.SH）在投资者互动平台表示，公司与谷歌在智能家居、音频等多个领域已展开具体项目合作，合 作范围正由早期的遥控器芯片供应延伸至更广泛的智能终端场景。公司称，双方关系已升级为涵盖音频、智能家居及端侧AI等多领域的深度合 作。 在端侧AI方向，泰凌微基于TL721X系列芯片推出TL-EdgeAI平台，支持谷歌LiteRT、TVM等开源模型部署，面向低功耗物联网与可穿戴设备 场景。公司表示，该平台在功耗控制和连接协议支持方面具备优势，目标是为多种智能家居与音频终端提供轻量化AI推理能力。 公开资料显示，泰凌微主营低功耗无线连接及系统级芯片，产品广泛应用于智能遥控器、智能家居设备、可穿戴设备等消费电子领域。公司通 过在蓝牙、射频前端及边缘计算等方向的布局，逐步构建围绕智能家居和物联网的芯片与平台体系，以提升整机厂客户的一站式配套能力。 公司认为，在AI与物联网融合趋势下，端侧设备对低功耗算力与多协议连接的需求正在提升，大型互联网企业与芯片供应商之间的生态协同将 更加紧密。借助与谷歌在音频、智能家居和端侧AI场景的合作，公司期望进一步验证自家平台在国际主流终端上的适配能 ...

Group 1: Market Overview - The scale of China's urban pet market has surpassed 300 billion yuan, with smart feeding devices experiencing an annual growth rate of over 50% [1] - The maturity of AIoT technology has made "precise feeding" a new necessity in the industry [1] Group 2: Company Profile - Yuanwanggu (002161.SZ) is the first listed company in China specializing in RFID solutions and products, aiming to become a world-class provider of IoT solutions centered around RFID technology [2] - The company focuses on the research and development of RFID core technologies and has developed over 100 types of RFID core products [2] Group 3: Industry Applications - Yuanwanggu's main business is concentrated in the IoT perception and application layers, providing RFID-based solutions across various industries, including smart railways, cultural industries, and apparel retail [2][3] - The company has maintained a leading market position in the railway sector and has gained significant user acceptance in the cultural market [3] Group 4: Innovations in Pet Feeding - "Feeding anxiety" is a common concern among Generation Z pet owners, highlighting the limitations of traditional smart feeding devices [4] - RFID technology offers a revolutionary breakthrough in smart feeding by enabling instant identification of multiple pets and linking to a cloud database for personalized feeding plans [4][5] Group 5: Health Management Transformation - The integration of RFID and AI algorithms is reshaping pet health management, allowing for early disease risk warnings and personalized dietary plans based on various pet parameters [5][6] - The technology enables proactive health management, moving from reactive responses to early interventions [8] Group 6: Future Prospects - Yuanwanggu plans to raise no more than 300 million yuan for projects related to RFID electronic tag production, innovation centers, and technology upgrades [9] - The company aims to leverage RFID technology to drive the second growth curve in the smart feeding sector within the pet industry [9]

Core Technology Components - The technology architecture of RWA tokenization includes five main components: blockchain ledger, smart contracts, oracles, cross-chain technology, and off-chain asset custody and verification [3][4][5][6][10][11]. Blockchain Ledger - Provides decentralized records for asset ownership, transaction history, and token data, utilizing public chains like Ethereum, Solana, Polymesh, and Avalanche, as well as consortium chains like AntChain's "two chains and one bridge" architecture [4]. Smart Contracts - Automates the processes of tokenization, trading, revenue distribution, and compliance management, with standards such as ERC-3643 for compliant tokens and ERC-721/1155 for non-fungible assets [5]. Oracles - Ensures secure transmission of off-chain asset data to on-chain, maintaining consistency between tokens and assets, with projects like Chainlink and Pyth Network providing real-time data services [6]. Cross-Chain Technology - Facilitates interoperability of assets and data across multiple chains, utilizing cross-chain bridges and protocols [8][9]. Off-Chain Asset Custody and Verification - Custody is managed by regulated entities to ensure 1:1 anchoring, with periodic audits recorded on-chain, while verification involves IoT monitoring and AI for valuation accuracy [10][11]. RWA Tokenization Process - The process includes asset assessment and digitization, tokenization through smart contracts, compliance embedding, on-chain recording and trading, and automated revenue distribution [12][13][14][15][16]. Technical Challenges - Key challenges include smart contract security requiring formal verification and auditing, real-time synchronization of off-chain asset changes, scalability issues related to high gas fees on Ethereum, and balancing privacy with compliance [17][20]. Future Trends - The integration of AI and IoT is expected to enhance pricing accuracy, while dedicated blockchains and Layer 2 solutions will improve efficiency and reduce costs [20].