It provides real-time data monitoring, improves data quality, and supports data analysis. It helps organizations better understand and utilize data, and provides data to third parties for big data analysis, so as to detect and solve problems more quickly, provide feedback to users, and improve production efficiency.The data link of the intelligent manufacturing factory

【  Compliant, efficient, visualized, digitized, intelligent, improving production efficiency and management. It establishes a connection between the production process control layer and the management layer, collects data in real time, and conducts AI monitoring and alarming. 】

Features

• Advanced and reliable

The system is advanced and targeted. It offers a user-friendly experience, being easy to use and master, and its back-end is stable and reliable.

• Flexible and scalable

It features the characteristics of a platform-based software that is scalable and configurable in the future, enabling users to handle the implementation of multi-workshop and multi-site models with ease.

• Highly integrated and loosely coupled

There is a high degree of integration and information sharing within and outside the management information system to eliminate "island" systems. The integration with the automated control system is loosely coupled, so that the control layer is not affected in case of emergencies.

• Convenient and efficient

It provides a convenient management, maintenance, and diagnostic center. The integrated management of data is timely, accurate, reliable, and secure.

Business Benefits

• Improve production efficiency

By monitoring the running status of equipment, production data, and process parameters in real time, optimize the production process, reduce downtime, and enhance the overall production efficiency.

• Reduce operating costs

Achieve predictive maintenance of equipment, reduce unexpected failures and maintenance costs. Meanwhile, through energy management and resource optimization, reduce energy consumption and raw material waste.

• Enhance product quality

Utilize data analysis and intelligent algorithms to adjust process parameters in real time, ensuring the consistency of product quality and reducing the defective product rate.

• Strengthen decision-making ability

Through data visualization and intelligent analysis, provide accurate decision-making support for enterprises, helping them respond quickly to market changes and formulate strategic plans.