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Key equipment health monitoring solutions for the steel industry
Characteristics of equipment working conditions in the steel industry:
设备品种多、体积大、成套、自动化程度高 ● Various types of equipment, large volume, complete sets, high degree of automation
大部分转动设备承受带冲击性的重负荷 ● Most rotating equipment withstands heavy loads with impact
工作温度高、运动速度快 ● High working temperature and fast movement speed
多是粉尘、潮湿的环境下作业，设备易腐蚀由于维护成本高，设备发生故障后界限难以划定，可以安装在线监测系统以提高服务效率。 ● It is mostly operated in dusty and humid environments, and the equipment is susceptible to corrosion. Due to the high maintenance costs, it is difficult to delimit the boundaries after equipment failure. An online monitoring system can be installed to improve service efficiency.
Equipment that the steel industry can monitor:
智能钢厂，全厂转动设备设备智能管家或全生命周期管理平台。 ● Intelligent steel plant, intelligent steward or full life cycle management platform for whole plant rotating equipment. The intelligent steel plant plans a full life cycle management system for rotating equipment and installs online monitoring and fault diagnosis systems for key equipment. It also installs wireless monitoring for units with high temperature and complicated working conditions. General units implement inspection points to strengthen the management level of equipment. The online monitoring system is equipped with an expert diagnosis system, which realizes big data analysis of operating data and intelligent early warning diagnosis. It can automatically determine faults without additional staffing for fault analysis.
The overall structure of the equipment health management system is divided into five layers: equipment layer, sensor and data acquisition layer, network layer, data center layer and application layer.
(1) Equipment layer: The system equipment includes rough rolling descaling pumps, E2R2 rough rolling mills and vertical rolls, flying shears, finishing mills F1 to F7, coilers and other important equipment.
(2) Sensor and data acquisition layer: The intelligent management of the device must first realize the comprehensive perception design of the device status.
System data collection includes 2 parts:
① Obtain data from the control PLC system of the equipment or data from the monitoring data center or from each sub-system PLC;
② Add a sensor-data collector to upload the acquired data to the monitoring data center.
(3) Network layer: The process-related measurement and control data required by the system adopts the measurement and control system backbone network, which uses an industrial real-time Ethernet network; the backbone network uses a multimode fiber transmission medium and a ring network structure.
The equipment backup monitoring system network in the system uses the backbone network of the measurement and control system on the one hand; on the other hand, some status signals of newly installed vibration sensors need to be sensed, collected, and transmitted by the equipment monitoring and health management system, and a dedicated independent equipment condition monitoring fiber Ring network transmission network.
The network layer refers to the basic automation chapter, which is considered uniformly.
(4) Data center layer: build a large data center including dynamic data servers, static data servers, and redundant servers for disaster recovery. This part is considered by the big data puzzle statistics.
(5) Decision support system: The decision support system is the core of the entire system, a hub for equipment health management, and a decision basis for maintenance support.
焦化厂堆取料机监测开式齿轮、胶带输送机监测减速机+轴承、破碎机监测轴承、捣固机监测电机+轴承、推焦车监测减速机、以及螺杆式和轴流式压缩机等。 ● Coking plant stacker and reclaimer monitoring open gear, belt conveyor monitoring reducer + bearing, crusher monitoring bearing, tamping machine monitoring motor + bearing, coke pusher monitoring reducer, and screw and axial compressors Wait. Open gear box of rotary kiln of sintering plant, hot blast stove of iron plant, monitoring bearing of dust removal fan + gear, screw machine, centrifugal compressor, etc. Dust removal fan monitoring bearing + gear + motor, converter monitoring speed machine + bearing and oxygen compressor in steelmaking plant. Rolling mill dephosphorization pumps monitor motors and pumps, self-provided power plants monitor feedwater pumps and turbine generators, and more.
Key equipment monitoring layout
System network topology diagram
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