⬛️Digital Twin

Based on real-time production data collected from the production line, combined with the real-time position and speed of production execution components on the line, it drives 3D virtual objects to synchronize with the physical production site. It enables real-time monitoring of the operating status of production line equipment, predicts equipment failures and provides timely maintenance solutions, reducing downtime and maintenance costs.

⬛️Energy Management Module

It realizes data collection of energy media such as electricity, water and gas. Independent energy consumption monitoring of key production equipment is carried out via electric meters to build equipment-level energy profiles.

Multi-period energy consumption statistical charts (hourly, daily, monthly and yearly) are generated by production line and equipment dimensions for visual monitoring of energy peak and valley trends.

By correlating energy data with production batches, it calculates product carbon footprints and generates lifecycle energy consumption analysis reports, driving process optimization and green supply chain development.

⬛️3D Visual Dashboard

The data display and analysis module converts on-site production dynamics into visual dashboards based on core data such as output and yield collected in real time by the system. It offers functions including hourly daily production output, production yield, process traceability, bill of materials and production dashboards. Users can intuitively grasp the real-time status of the production site. It enables real-time data monitoring and visualization, optimizes resource allocation, realizes process traceability and promotes production collaboration.

⬛️ Automatic Report System

Based on real-time data acquisition, it automatically generates various reports covering key process parameters, production capacity, yield rate, equipment utilization rate, MTTR, MTBF and OEE. It enables authentic quantitative collection and analysis of data to help achieve quality improvement and efficiency enhancement.

⬛️QC Quality Inspection System

The quality inspection module supports functions including defect cause recording, maintenance methods management, inspection items, inspection standard maintenance, and finished product inspection entry.

PDA function is available to scan defective products for real-time data entry, improving data collection efficiency.

By collecting and analyzing inspection data, the MES system provides decision support for enterprises. Enterprises can adjust inspection plans and optimize quality control measures based on data analysis results, so as to improve the efficiency and accuracy of decision-making.