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Industrial AI Device Interconnection Dynamic Monitoring

Solution brief

Data collection has always been the most practical and high-frequency demand in production and a prerequisite for Industry 4.0.

The equipment interconnection status monitoring system realises the collection, sharing, distribution, analysis and collaboration of equipment data, effectively improves

the traceability of product process parameters, provides help for management's production process monitoring and auxiliary decision-making, and provides data

support for the enterprise's intelligent manufacturing.

Solution function

The equipment interconnection dynamic monitoring system taps into massive real-time and historical data through unified equipment access and data collection services, achieving the collection, storage, management, analysis and visual display of equipment status information and environmental parameters.

Bright spot

Complex and diverse equipment communication protocols can be converted into a unified OPC interface, which can be integrated with third-party systems to effectively monitor the entire production process and improve equipment utilisation, and AI analysis can be used to uncover the key factors of equipment failures and provide early warning.

Integration with third-party systems and custom-developed interfaces are possible.
Data mining methods such as industrial AI statistical analysis, cluster analysis, correlation analysis, regression analysis and other data mining methods can be used to discover the key factors of equipment failure and provide early warning.

Application scenario

Product case

Aiming at the needs of advanced optical component manufacturing process management, docking with multiple equipment manufacturers, establishing a condition monitoring and data analysis system, realising real-time collection and historical view of key parameters of equipment, data sample extraction and SPC application analysis, etc., to improve the traceability of control parameters of optical component manufacturing.

Scene map of the Optical Centre project site
Optical Centre Project Data Screen Design
Optical Centre Project Data Kanban Design Drawing