The customer is a high-tech enterprise mainly engaged in precision components. With more than 5000 employees, a factory area of 330,000 square meters, building area of 220,000 square meters, and fixed assets of 1.3 billion RMB (about 190 million USD), the company has more than 1300 sets of advanced equipment at home and abroad, with an annual production capacity of over 70,000 tons of aluminum alloy die-casting products and over 80 million various aluminum alloy parts through mechanical processing. It is a comprehensive private enterprise integrating design, development, aluminum alloy die-casting, mechanical processing, surface treatment, and mold design and manufacturing.
WIMI-CPS project implementation content: equipment data collection, part traceability, part processing error prevention (processing flow control), tool life early warning, visual Kanban.
1. MDC Data Collection and Analysis Software Module
The customer's automatic line machining equipment for a certain transmission housing is produced by Makino J4 and J5 horizontal machining centers combined with Jinshi automation system. WIMICPS-MDC monitors equipment operation status, operation parameters, alarm information, and production information in real-time, analyzing key production data such as equipment utilization rate, equipment operation efficiency, and failure rate, effectively improving CNC equipment production efficiency and improving workshop-level equipment management, while accordingly reducing illegal operations by operators, reducing defective products, and improving production plan execution accuracy.
2. Part Traceability Module
Part production process traceability is crucial for the automotive parts production industry. Establishing a quality safety traceability system for automotive parts to achieve full lifecycle management of products and defective product recalls by parts and automobile production enterprises, preventing counterfeit and shoddy automotive parts incidents. In response to requirements, WIMI CPS-ProTract part traceability system controls materials in the production process, equipment processing technical data, and equipment error prevention during processing to further improve product production quality and production efficiency.
3. Intelligent Workshop Visualization
As a typical industry advancement project, our company also achieved enterprise management-level remote monitoring and management information docking for the production department of this intelligent workshop. This enables enterprise managers to remotely understand workshop processing status, also showing scientific production strength to customers' customers, making customers trust more.
