ASUS IoT AISPHM is a revolutionary solution for predictive maintenance and health management. Leveraging real-time AI and state-of-the-art vibration analysis, AISPHM is specially designed to detect early-stage issues in rotating equipment, ensuring unparalleled reliability and performance in the most demanding factory environments — delivering immediate, intuitive alerts and the adaptability of a flexible architecture for optimized operational efficacy, either on-premise or in the cloud.
This innovative approach empowers industries to anticipate and swiftly resolve issues, reducing downtime and maintaining uninterrupted production flow. AISPHM stands out by preserving the health and longevity of industrial equipment, delivering continuous advancements, and providing ultimate peace of mind.
Low to no code for exceptional simplicity
Your Path to Operational Excellence
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Combining ISO-10816-3 with FFT Spectrum AI Modeling
Dedicated AI models are established for each device, continuously monitoring their operational status. Any deviations from the original AI model are recorded as abnormal events.
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Web-based Private and Public Cloud Architecture
A fully containerized architecture enhances deployment flexibility across multiple platforms, including PCs, smartphones, and tablets.
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Cost-effective CPU-based Modeling and Inference
Intel i5/i7 machines can support data processing for up to 120 sensors without the need for additional GPU resources.
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Supports the EdgeX Open Source Framework
For diverse industrial applications, modules can be developed for data reuse without the need for extensive code refactoring.