AI 中文总结
针对工业物联网边缘网关缺乏标准化软件框架的问题，提出模块化事件驱动架构，构建容器化 Web 栈与本地事件引擎，在树莓派 CM4 上验证后缩短集成时间，为工业自动化提供软件基础。
AI 中文摘要
将 legacy 工业机械集成到现代云基础设施中是一项重大的软件工程挑战。工业物联网（IIoT）部署常依赖刚性且专有的边缘控制器，需大量手动配置。开源单板计算机（SBC）提供了高度适配的硬件替代方案，但仍缺乏标准化软件部署框架，无法桥接本地串行协议与全球云环境。本文提出一种专为开源 IIoT 边缘网关设计的模块化事件驱动软件架构。我们构建了容器化 Web 栈以提供统一架构，该架构抽象了 Modbus 到 MQTT 协议转换的复杂性，支持快速配置遥测流至亚马逊网络服务（AWS）IoT 等云平台。此外，我们设计了本地事件引擎，可在边缘层直接处理条件逻辑，显著降低网络延迟。所提架构已在工业级树莓派计算模块 4（CM4）上进行初步部署与验证，以研究其鲁棒性、可扩展性及易用性。实验结果表明，系统集成时间大幅缩短，且具备高运行稳定性，从而为基于边缘的实时工业自动化奠定了可靠的软件基础。本研究通过实现 legacy 机械与现代工业基础设施的无缝集成，为延长其使用寿命做出了贡献。
英文摘要
Integrating legacy industrial machinery into modern cloud infrastructures poses a significant software engineering challenge. Industrial Internet of Things (IIoT) deployments frequently rely on rigid and proprietary edge controllers that require extensive manual configuration. Open-source single-board computers (SBCs) offer a highly adaptable hardware alternative, but they still lack standardized software deployment frameworks capable of bridging localized serial protocols with global cloud environments. In this paper, we present a modular event-driven software architecture designed specifically for open-source IIoT edge gateways. We built a containerized web stack to provide a unified architecture that abstracts the complexities of Modbus-to-MQTT protocol translation, enabling rapid configuration of telemetry streams to cloud platforms such as Amazon Web Services (AWS) IoT. Furthermore, we designed a localized event engine that processes conditional logic directly at the edge layer, which significantly reducing network latency. The proposed architecture is preliminarily deployed and validated on an industrial-grade Raspberry Pi Compute Module 4 (CM4) to investigate its robustness, scalability and user-friendliness. Experimental results demonstrate a substantial reduction in system integration time and high operational stability, thus establishing a robust software foundation for real-time edge-based industrial automation. This paper contributes to extending the lifespan of legacy machinery by enabling seamless integration with modern industrial infrastructure.
Comments4 pages, 3 figures, 1 table, 1 function, accepted paper on the 24th IEEE International Conference on Industrial Informatics (INDIN), 26-29 July, 2026, Melbourne, Australia
