Equipment monitoring and diagnosis system is the most widely used and fastest-developed technology in the field of equipment diagnosis technology. Especially for steel industry, petrochemical industry, and power plants, it is an indispensable competitive weapon. For the steel plant, it can provide the status monitoring, deterioration warning and precision diagnosis of important rotating equipment in the production line, so as to reduce the loss of equipment sudden failures, improve the efficiency and effect of maintenance, track the equipment history and management, and help improve the reliability of production capacity.

Cost reduction

    Early warning and early handling to reduce equipment sudden failure losses (equipment, production capacity, manpower)

    Master the operating status of the equipment, ensure the number of equipment-related spare parts, and reduce the accumulation of excessive spare parts

    Reduce the manpower of fixed-cycle inspection

    Combining process and quality information, reduce the failure rate of steel products caused by poor equipment or process (such as vibration roller marks)

Increase efficiency

    Improve equipment fault handling and maintenance efficiency

    As the basis for evaluation and improvement of domestic development of components

    Effectively extend the equipment maintenance cycle

    Significantly improve the reliability of equipment operation

The system adopts a three-layer network architecture

    Smart data collection controller (Smart Box)

    Equipment Monitoring Cloud Platform (Cloud)

    Data monitoring station, war situation room (Web browser)

Provides commonly used web browsers as system platform, and uses a large number of graphics components as display interfaces to improve operational application

Establish a private cloud platform, import big data, machine learning, artificial intelligence and other modules to achieve the application of automatic diagnosis of equipment abnormalities, information release, remote services, data exchange and unified platform management

The equipment characteristic design analysis module is adopted, and the corresponding trigger/speed condition signals are used as the basis for vibration signal analysis according to different equipment types and operation modes. The analysis method can fully reflect the equipment under different operating conditions and establish the status monitoring, deterioration warning and precision diagnosis of important rotating equipment in the production line, so as to reduce the equipment failure loss, improve maintenance efficiency and effect, and improve equipment status visualization.

Suitable industries: hot rolling, steel rolling, cold rolling and production line with rotating equipment, etc.

Automatic/real-time monitoring, tendency management

Automatic alerts, exception management and release

Easy vibration/precision diagnosis

Performance deterioration diagnosis

Process quality diagnosis

Maintenance management, data sharing

Surprising abnormality

Equipment Trend Management

Automatic monitoring of sensor status

Machine Learning Services

AI Model Management and Deployment

Graphical display components

Data integration platform

Tele-distancing monitoring services