Solution 04

Predictive Maintenance

Solution 04

Predictive Maintenance

Cement Production Tobacco Manufacturing Smart Manufacturing

Redefining Equipment Lifecycle Management

What
For hidden mechanical fatigue and early failures during industrial equipment operation, using multi-modal sensors to collect real-time equipment status data and AI algorithms to precisely predict equipment degradation trends, transforming reactive maintenance into proactive defense.
Why
Equipment failure downtime is one of the most costly events in industrial production. Maxta deploys industrial vertical models that deeply understand equipment physics, moving beyond simple threshold alarms to capture fault features through deep learning that humans cannot detect, truly achieving "preventive medicine" for equipment.

Vertical Model Driven

Multi-modal Data Fusion & Weak Feature Early Warning

On the sensing end, the system breaks through single-sensor limitations, fusing high-precision microphones, magnetic flux, ultrasound, and current/voltage multi-modal high-frequency data; on the computing end, embedded AI and cloud models collaborate to automatically strip complex industrial background noise and precisely capture early weak mechanical fatigue features. This achieves high health rate, high utilization, high safety while maintaining low energy consumption, low maintenance costs, and low lifecycle costs.

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Whether it's intelligent manufacturing quality control, predictive maintenance, smart scheduling, or industrial energy optimization, Maxta delivers complete industry AI solutions validated in production environments, built on MaxtaOS + MaxModel.