Project Background: The module factory's new plant is about to mass produce, urgently needs to build an FDC system; the original self-developed FDC system has weak functionality and cannot meet the control needs of the new plant's new equipment. The project manages over 3000 equipment, over 100,000 data points, over 200,000 detection instances simultaneously, supports simultaneous access for over 1000 people;

Project Features: Enhanced fool-proof monitoring for parameter registration, Sensor monitoring miss management, improved usability of registration and data query functions, increased operational efficiency; through adaptive rules for control threshold AutoRange, significantly reduced invalid alarms; adopted Group management for some equipment based on production needs, more accurate Sensor monitoring miss;

Project Background: Building a new plant, the original FDC system vendor cannot continue service due to policy reasons, urgently needs to find a domestic FDC system replacement vendor; the project manages over 1000 equipment, over 1 million data points, over 2 million detection instances simultaneously, supports simultaneous access for over 1000 people;

Project Features: FDC system collects data directly from equipment through virtual port software, needs to support Interface A protocol, supports up to 10Hz collection frequency; has many heterogeneous data collection requirements, data parsing logic is configurable, no coding needed; summary calculation algorithms and control rule requirements are comprehensive, control rules need to support customer customization and import into the system application; massive data query requires extremely high timeliness, 30 days of data results in 1 minute and draws Chart;

Project Background: The original production process has weak process control, poor product parameters, self-damage, and significant waste of man-hours, urgently needs improvement through FDC system. The project mainly manages process equipment such as sticking, wire cutting, degumming, cleaning, etc., totaling over 200 equipment, over 10,000 control data points, running over 30,000 detection instances;

Project Features: Integrated three major modules: fault detection and classification, quality intelligent analysis, and process adjustment, built a unified data platform, achieved data sharing and integration; classified management of key problem-solving experiences and methods, built a knowledge base for reuse in other factories; after three months of system operation, improvement effects are significant, product yield increased by 5%, man-hours saved by 10%, production collaboration efficiency greatly improved;