Project Background: As the module factory’s new plant prepares for mass production, there is an urgent need to establish an advanced FDC system. The existing self-developed FDC platform lacks the functionality required to support new-generation equipment and control requirements. The project scales to manage over 3,000 machines, 100,000+ data points, and 200,000+ concurrent detection instances, while supporting simultaneous access for more than 1,000 users.

Project Results: Strengthened fail-safe monitoring for parameter registration and sensor miss detection, with improved usability for registration and data queries to enhance operational efficiency. Leveraging adaptive AutoRange control thresholds significantly reduces false alarms. Additionally, group-based equipment management aligned with production needs enables more precise sensor miss monitoring.

Project Background: With a new plant under construction, the original FDC system vendor can no longer provide support due to policy constraints, creating an urgent need for a domestic FDC replacement solution. The project scales to manage over 1,000 machines, more than 1 million data points, and over 2 million concurrent detection instances, while supporting simultaneous access for more than 1,000 users.

Project Results: The FDC system collects data directly from equipment via virtual port software, supporting Interface A protocol and up to 10Hz sampling frequency. It accommodates diverse heterogeneous data sources with fully configurable parsing logic—no coding required. Comprehensive summary algorithms and control rules support customer-defined configurations and seamless system import. For large-scale data queries, the system delivers high-performance analytics, processing 30 days of data within 1 minute with instant chart visualization.

Project Background: The existing production process suffers from weak process control, inconsistent product parameters, self-induced defects, and significant labor inefficiencies, creating an urgent need for improvement through an FDC system. The project covers key process equipment including sticking, wire cutting, degumming, and cleaning, managing over 200 machines, 10,000+ control data points, and more than 30,000 detection instances.

Project Results: Integrated three core modules - fault detection and classification, intelligent quality analysis, and process optimization - on a unified data platform to enable seamless data integration and sharing. Established a structured knowledge base of key problem-solving methods for reuse across factories. Within three months of deployment, the system delivered measurable results, increasing product yield by 5%, reducing man-hours by 10% and significantly improving production collaboration efficiency.