云绿科技是一家专注物联网系统产品研发、生产、销售、工程服务、数据运维的科技物联网公司，核心团队具有多年海外智慧城市项目经验、物联网终端产品及系统开发经验，拥有传感物联网领域核心技术能力。

公司推出的NAT边缘计算终端、NAS网络感知系统，涵盖物联网终端、物联网协议、传感核心网等软硬件产品，应用于农业、水务、林业与生态保护感知网络与大数据建设，为政府带来全新的信息化管理工具，可大幅提升管理效率。获得专利2项，软件著作权11项。

公司与华为、中国电信、阿里云、MXCHIP、Alpha M.O.S、中贝股份、光谷技术、河南盈丰等伙伴达成战略合作，共同推进城市感知神经网络系统的应用与价值挖掘。公司致力成为全球知名的物联网系统解决方案及运维服务提供商。

技术实力

• 已累计16项软件著作权，多项软件专利技术支撑。
• 已累计申请10+项专利，发明专利占比60%以上。
• 拥有20+专业研发团队，深耕物联网技术和产品创新。
• 关注前沿技术，研究人工智能、大数据、云计算等，实现深度融合
• 强大的信息挖掘能力，包括事件溯源、传播分析、数据可视化等。
• 拥有先进的实验室和测试设备，为研发团队提供良好的硬件支持。

Yunlv Technology is a high-tech enterprise focusing on the research and development, production, sales, engineering services, and data operation and maintenance of Internet of Things system products. The core team has many years of experience in overseas smart city projects, Internet of Things terminal products and system development experience, and has experience in sensing things. Core technical capabilities in the networking field.

The NAT edge computing terminal and NAS network sensing system launched by the company cover IoT terminals, IoT protocols, sensor core networks and other software and hardware products, and are used in agriculture, water affairs, forestry and ecological protection sensing network and big data construction, providing government services. Bringing new information management tools, which can greatly improve management efficiency. Obtained 2 patents and 11 software copyrights.

The company has reached strategic cooperation with Huawei, China Telecom, Alibaba Cloud, MXCHIP, Alpha M.O.S, Zhongbei Technology, Optics Valley Technology, Henan Yingfeng and other partners to jointly promote the application and value mining of urban sensing neural network systems. The company is committed to becoming a world-renowned provider of Internet of Things system solutions and operation and maintenance services.

Technical strength

• It has accumulated 16 software copyrights and is supported by multiple software patents.
• A total of 10+ patents have been applied for, with invention patents accounting for more than 60%.
• Has a professional R&D team of 20+, deeply engaged in IoT technology and product innovation.
• Pay attention to cutting-edge technologies, study artificial intelligence, big data, cloud computing, etc., and achieve deep integration
• Powerful information mining capabilities, including event tracing, communication analysis, data visualization, etc.
• Have advanced laboratories and testing equipment to provide good hardware support for the R&D team.