Centering on molding plans and process execution standards, through functions such as production scheduling issuance, on-site kanban visualization, on-site operation guidance, and key production equipment data collection, data interconnection and dynamic collaboration are realized for production links in the casting workshop including feeding, smelting, nodulizing, molding and pouring, so that each management level can grasp the production situation at any time and trace back the production process.
Feeding management
Through the management of furnace charge formulas and batching calculations, and by collecting the amount of furnace charge added, the economic accounting of furnace charge formulas is realized, the one-time pass rate of chemical compositions is improved, and the cost of iron materials is reduced.
Melting management
Through the management of electric furnace repair and sintering, and by collecting data such as process parameters, energy and material consumption, quality inspection results, and the weight of tapped iron during the electric furnace melting process, it is possible to calculate and display the melting cost, trace the melting quality, improve the management level of the electric furnace, extend the service life of the electric furnace, and reduce the melting cost.
Moulding management
By integrating with molding and pouring plans, it achieves interconnection and traceability with mold information and core information. Through collecting production data of molding machines, process parameters, and other information, it enables statistical analysis of mold changeovers, downtime, and production efficiency, identifies anomalies, and provides a basis for management improvement—thereby enhancing production efficiency and reducing production costs.
Pouring management
By connecting with product, molten iron, mold, and core information, and collecting production data, process parameters, material consumption, quality inspection results, etc., from pouring machines, traceability of product quality is achieved.
Digital Operations Intelligent Control Platform
By leveraging various analytical charts, algorithmic mathematical models, and digital twin technology, the system intuitively and vividly displays and monitors production data, quality data, equipment operation data, energy consumption, and other metrics. This achieves real-time process monitoring, simplified production management, and convenient quality traceability. The system can also automatically push daily and monthly production operation reports, helping enterprise managers reduce management complexity and assisting the enterprise in improving quality, reducing costs, and enhancing efficiency.
Real-time Production Data Collection
Real-time collection of production process data from equipment ensures objective and authentic data, transparent production progress, and reduces process documentation by over 80%.
Online Monitoring of Production Processes
Online control of production processes with customizable early-warning indicators; real-time monitoring of indicator implementation; early detection and timely handling to reduce losses, with over 95% identification of production process anomalies.
Real-time Anomaly Identification and Error Prevention
Real-time identification and error prevention of anomalies in production processes, process parameters, quality information, and production efficiency to ensure the effectiveness of manufacturing execution.
Precise Traceability of Product Quality
Establish a complete production data archive to achieve traceability of product quality, define quality responsibilities, and improve quality qualification rates.
Steady Improvement of Production Efficiency
Multi-dimensional analysis of personnel/equipment efficiency improves plan execution rate by over 10%, reduces downtime and line stoppage time by over 15%, and enhances production efficiency by over 10%.
Precise Control of Daily Costs
Precise Batching, Optimal Batching Calculation, and Cost/Input-Output Variance Analysis to Continuously Reduce Production Costs
