– A dedicated energy-saving mathematical model analyzes real-time data, including cake thickness, filtrate concentration, feed concentration, and high-pressure air consumption.

– Automatically adjusts key operating parameters such as main unit speed, air supply pressure, and drying-zone differential pressure to optimize operating conditions dynamically.

– Reduces overall energy consumption by more than 30% while maintaining effective dewatering performance.

–  High-precision cameras, audio sensors, and multiple other sensors are installed inside the pressurized chamber to provide comprehensive real-time equipment monitoring.

–  Intelligently identifies and alerts operators to abnormalities such as excessive clearance between moving and stationary discs, air leakage at the chamber door, damaged filter cloth, seal leakage, and discharge failures.

–  Shifts equipment management from post-failure response to early anomaly detection, improving operational reliability.

– Automatically records equipment and consumable-related alarms and analyzes their frequency and occurrence patterns.

– Identifies potential fault trends based on historical operating data, enabling timely intervention before minor issues develop into major failures.

– Predictive maintenance helps reduce unexpected breakdowns and unplanned downtime while extending stable equipment operating periods.

– Enables remote access to the equipment’s on-site PLC for real-time monitoring of operating status.

– In the event of an abnormality, engineers can remotely diagnose and optimize PLC programs, enabling rapid resolution of temporary faults.

– Reduces response time, improves troubleshooting efficiency, and increases equipment availability.

–  A dedicated AI large model for the filter press assists users in resolving technical issues encountered during production and operation.

–  A centralized knowledge base provides convenient access to operating manuals, maintenance guides, equipment upgrade documentation, and other technical resources.

–  Mechanical and electrical components are assigned standardized material codes and managed throughout their lifecycle, with automatic reminders when replacement is due.

–  Integrates equipment, consumables, knowledge, and maintenance data into a unified management system, continuously enhancing full lifecycle equipment management.