基于云计算和物联网技术的控制系统探索
CSTR:
作者:
作者单位:

中国恩菲工程技术有限公司, 北京 100038

作者简介:

谭勇(1976—),男,湖南涟源人,高级工程师,硕士,主要从事有色金属冶炼工程电气与控制系统的设计与研究工作。

通讯作者:

中图分类号:

TF273

基金项目:


Exploration of control system based on cloud computing and internet of things technologies
Author:
Affiliation:

China ENFI Engineering Co., Ltd., Beijing 100038 , China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为解决冶金行业废渣无害化处理项目中生产效率低、质量不稳定和能耗高等问题,本文提出了基于云计算和物联网的“云物冶控平台系统”。该系统融合了远程云计算中心和就地数据中心,通过物联网层实时采集设备运行数据,控制层执行优化决策和控制功能,用户端提供可视化监控和指令输入。系统设计遵循智能化、安全性、高效性和易用性的原则,包括工业物联网、云边协同控制、大数据分析和机器学习等关键技术。相比传统系统,该平台在数据处理、远程维护、成本效益等方面具有显著优势。结合案例分析,该系统在技术可行性、经济效益、环保贡献等方面表现出色,为冶金行业带来全新的智能管控模式,同时具备良好的扩展性和可持续性。

    Abstract:

    To solve the problems of low production efficiency, unstable quality, and high energy consumption in the metallurgical industry s waste slag harmless treatment projects, this paper proposes a “cloud-IoT metallurgical control platform system” based on cloud computing and the Internet of Things. This system integrates a remote cloud computing center and a local data center. It collects real-time device operation data through the IoT layer, executes optimized decision-making and control functions in the control layer, and provides visual monitoring and command input at the user end. The system design follows the principles of intelligence, security, efficiency, and usability, with key technologies including industrial IoT, cloud-edge collaborative control, big data analysis and machine learning. Compared to traditional systems, this platform has significant advantages in data processing, remote maintenance, and cost-effectiveness. Based on case analysis, the system performs excellently in terms of technical feasibility, economic benefits, and environmental contributions, bringing a new intelligent management and control model to the metallurgical industry. The system also has good scalability and sustainability.

    参考文献
    相似文献
    引证文献
引用本文

谭勇.基于云计算和物联网技术的控制系统探索[J].有色设备,2024,38(3):95-100.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-03-12
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-11-14
  • 出版日期:
文章二维码