Industrial enterprises are moving from traditional experience-driven operations to data- and knowledge-driven models, achieving intelligent transformation through integrated information platforms.
Complex production processes and low automation levels hinder productivity gains.
Outdated quality control methods make it difficult to ensure consistent product quality.
Aluminum production is energy-intensive, leading to high operational costs and environmental impact.
Processes such as melting and pouring present high safety hazards.
Data sharing is limited, analytics capabilities are weak, and management practices remain siloed.
High failure rates of critical equipment increase maintenance costs and disrupt production continuity.
Integrate and optimize information systems across all stages of aluminum production to improve efficiency, reduce costs, meet environmental standards, and minimize safety risks.
The quality inspection data acquisition system automatically collects test data from samples (e.g., bath samples, electrolytes, finished aluminum ingots) directly from analytical instruments. Results are submitted for review, and upon approval, are integrated into weighing and batching processes. Standardized quality reports are generated for traceability and can be printed for records.
Digitizes the aluminum tapping process in electrolysis workshops, enabling real-time monitoring and recording of tapping operations. The system captures key data such as planned tapping volume, tapping formulas, tapping indications, net tapping weight per cell, start/end times, and total/net weight per lift. All data is uploaded to the unified production information platform for centralized storage and management, generating tapping reports and statistical summaries to support information sharing.
Manages measurement of electrolytic aluminum products, including raw molten aluminum and finished ingots. Weighing data from various scales (platform scales, hanging scales) across the plant is automatically collected, and corresponding statistical reports are generated based on production requirements.
Provides digital management of aluminum ingot yards and warehouses. Through defined warehouse processes, the system tracks ingot receiving, inventory, and dispatch in real time, feeding all data to the upper-level information platform for timely, comprehensive visibility of electrolytic aluminum inventory.
Handles both material procurement and inventory management. Workshops and departments can select required materials by code in the procurement module and automatically generate demand plans. After approval, plans are routed to inventory management; available materials trigger picking and delivery procedures.
Digitizes inspection workflows to prevent missed inspections and unclear records. The system enforces standardized, data-driven equipment spot checks. It also provides quantifiable performance metrics (e.g., inspection arrival rate, equipment integrity rate) for maintenance personnel assessment.
Deploys a plant-wide video surveillance system with high-definition IP cameras at key production areas, enabling comprehensive real-time online monitoring of operations.
Generates sales reports for finished aluminum and primary aluminum based on inspection records and warehouse transactions. Carbon block sales data is captured upon weighbridge inspection and fed back to the procurement and sales department, with statistical reports generated from system inspection records.
Establishes a centralized real-time production information monitoring system. By integrating production process status and on-site video, it achieves real-time acquisition of data from power distribution, electrolysis transport, flue gas purification, electrolytic cells, laboratories, casting workshops, weighing stations, and warehouses. All data is displayed on the integrated information management platform, providing scheduling and management personnel with accurate, real-time operational visibility to aid decision-making.









Enhance IT Capabilities and Product Competitiveness

Upgrade Profit Models and Lead Industry Direction

Proactive Service Reduces After-Sales Costs

Deep Data Mining Optimizes Production Processes

Reduce Production Energy Consumption

Process-Driven, Intelligent Connection with End Users






























National High-tech Enterprise
Sichuan High tech Enterprise

"Galileo Platform"Rapid Deployment
Implementation Team one-on-one

National Industrial Internet
Alliance Working Group Core unit

200+Intellectual Property
10Year IoT Technology Accumulation

200+Industrial Cooperation Cases
3000K Access Equipment