复杂工业过程中的人工智能和安全支持的终端云模块化平台:城市固体废物焚烧的案例研究
Jian Tang1,2, Tianzheng Wang1,2, Hao Tian1,2
1School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究介绍了以人工智能和安全为基础的终端云模块化平台 (AISE3CMP),以优化复杂的工业流程. 该平台确保了安全的数据传输和高效的AI集成,弥合了研究和工业应用之间的差距.
科学领域:
- 工业过程优化 工业过程优化
- 在工程领域的人工智能.
- 网络物理系统 网络物理系统
背景情况:
- 复杂的工业流程 (CIP) 面临着由于不清楚的机制,波动的条件和法规而面临稳定优化方面的挑战.
- 学术AI算法与其实际的工业部署之间存在差距.
- 现有的平台缺乏强大的安全性和CIP的集成效率.
研究的目的:
- 引入人工智能和安全授权的终端云模块化平台 (AISE3CMP).
- 在CIP中弥合人工智能研究和工业应用之间的差距.
- 在工业环境中增强优化,控制和数据安全.
主要方法:
- 开发了一个模块化平台 (AISE3CMP),包含四个集成系统:全过程AI建模,终端AI决策,边缘AI控制和云端AI优化.
- 在城市固体废物焚烧 (MSWI) 发电厂部署了数据隔离收集模块,用于现实世界的数据收集.
- 使用开发的软件和硬件验证了功能和有效性.
主要成果:
- 在平台系统之间证明了高效可靠的信号传输.
- 证实了平台能够满足基于人工智能的优化和控制计算需求的能力.
- AISE3CMP具有双安全传输机制和模块化设计,用于增强集成.
结论:
- AISE3CMP是第一个便携式,端到端的云平台,为CIP提供双层安全机制.
- 该平台有效地解决了数据传输安全问题,但需要进一步加强云端保护和终端操作安全.
- 未来的研究方向包括通过多区域数据共享来开发特定行业的大型语言模型.
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