The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT), or AIoT, has breathed a new life into IoT operations and human-machine interactions. Currently, resource-constrained IoT devices usually cannot provide sufficient capability for data storage and processing so as to support building modern AI models. An intuitive solution is to integrate cloud computing technology into AIoT and exploit the powerful and elastic computing as well as the storage capacity of the servers on the cloud end. Nevertheless, the network bandwidth and communication latency increasingly become serious bottlenecks. The emerging edge computing can complement the cloud-based AIoT in terms of communication latency, and hence attracts more and more attention from the AIoT area. In this paper, we present an industrial edge-cloud collaborative computing platform, namely Sophon Edge, that helps to build and deploy AIoT applications efficiently. As an enterprise-level solution for the AIoT computing paradigm, Sophon Edge adopts a pipeline-based computing model for streaming data from IoT devices. Besides, this platform supports an iterative way for model evolution and updating so as to enable the AIoT applications agile and data-driven. Through a real-world example, we demonstrate the effectiveness and efficiency of building an AIoT application based on the Sophon Edge platform.

中文翻译：

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高效构建AIoT应用的边缘云协同计算平台

人工智能 (AI) 与物联网 (IoT) 或 AIoT 的融合为物联网运营和人机交互注入了新的活力。目前，资源受限的物联网设备通常无法提供足够的数据存储和处理能力来支持构建现代人工智能模型。一个直观的解决方案是将云计算技术集成到AIoT中，利用强大的弹性计算以及云端服务器的存储能力。尽管如此，网络带宽和通信延迟日益成为严重的瓶颈。新兴的边缘计算可以在通信延迟方面补充基于云的AIoT，因此越来越受到AIoT领域的关注。在本文中，我们提出了一个工业边缘云协同计算平台，即 Sophon Edge，它有助于高效地构建和部署 AIoT 应用程序。作为 AIoT 计算范式的企业级解决方案，Sophon Edge 采用基于管道的计算模型从 IoT 设备流式传输数据。此外，该平台支持模型演进和更新的迭代方式，使AIoT应用敏捷和数据驱动。通过一个真实的例子，我们展示了基于 Sophon Edge 平台构建 AIoT 应用程序的有效性和效率。该平台支持模型演进和更新的迭代方式，使AIoT应用敏捷和数据驱动。通过一个真实的例子，我们展示了基于 Sophon Edge 平台构建 AIoT 应用程序的有效性和效率。该平台支持模型演进和更新的迭代方式，使AIoT应用敏捷和数据驱动。通过一个真实的例子，我们展示了基于 Sophon Edge 平台构建 AIoT 应用程序的有效性和效率。