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钢铁企业设备智能运维管理平台探索

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钢铁企业设备智能运维技术采用云边端架构,构建运维管理平台,通过统一的设备树与设备模型,建立设备主数据体系。开发了基于物联网技术从端到边再到云的数据链,设计合适的设备管理的规则和算法模型,为运维决策提供有力支持。采用规则编辑器+人工智能算法平台的方式,建立统一的设备状态监测和故障诊断模型进行算法处理,实现故障自动诊断。跨全生命周期运维业务管控的平台服务中心,提供健康诊断、状态维护、解决方案推送等服务。最后提出了对设备、产品性能衰退进行即时监测评估、远程监控诊断设备状态将是智能运维领域的最新发展方向。钢铁企业设备智能运维技术提升了钢铁企业设备的运维效率和可靠性,为企业的可持续发展提供了有力保障。
Exploration of intelligent operation and maintenance management platform for equipment in steel enterprises
The intelligent operation and maintenance technology of steel enterprise equipment adopts a cloud edge architecture to build an operation and maintenance management platform.Through a unified device tree and device model,a device master data system is established.Developed a data chain based on the internet of things technology from end to edge and then to cloud,designed appropriate rules and algorithm models for device management,and provided strong support for operation and maintenance decisions.By using a rule editor and artificial intelligence algorithm platform,a unified device condition monitoring and fault diagnosis model is established for algorithm processing,which achieves automatic fault diagnosis.The platform service center for cross lifecycle operation and maintenance business control provides services such as health diagnosis,condition maintenance,and solution push.Finally,it is proposed that real-time monitoring and evaluation of equipment and product performance degradation,as well as remote monitoring and diagnosis of equipment condition,will be the latest development direction in the field of intelligent operation and maintenance.The intelligent operation and maintenance technology of equipment in steel enterprises has improved the efficiency and reliability of equipment operation and maintenance,and providing strong support for the sustainable development of enterprises.

intelligent operation and maintenanceequipment managementequipment condition monitoring

张本昕、吕静

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首钢京唐钢铁联合责任有限公司, 河北 唐山 063200

智能运维 设备管理 设备状态监测

2024

重型机械
中国重型机械研究院股份公司

重型机械

影响因子:0.213
ISSN:1001-196X
年,卷(期):2024.(2)
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