Joly IPC
Seamless Integration and Intelligent Sensing
Powering a New Era of Self-Aware Operations
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About iCAIR
The iCAIR Smart Core redefines AHU operation through integrated hardware and software. Its development roadmap begins with a digital twin and advances to machine-learning-based forecasting, combining AI predictive models with real-time operating data to enable continuous equipment condition awareness.
The system transforms complex operating conditions into clear, actionable insights. With its highly flexible, open integration architecture, the iCAIR Smart Core serves as a next-generation computing hub that gives AHUs the intelligence to monitor performance, anticipate changes, and support optimized operation.
The system transforms complex operating conditions into clear, actionable insights. With its highly flexible, open integration architecture, the iCAIR Smart Core serves as a next-generation computing hub that gives AHUs the intelligence to monitor performance, anticipate changes, and support optimized operation.
Build a digital twin
Equipment self-awareness
AI predictive models
Product features
Flexible definitions
Flexible definitions
Lowers the usage threshold and offers high adaptability, freely stitching with a 2.5D perspective to create a suitable physical AHU configuration and build a perfect one-to-one digital avatar; Physical I/O expands flexibility, adding custom points for instant response to needs.
Data visualization
Data visualization
Clearly define operational metrics, instantly gain insights into corresponding value sources and process indicator changes, and provide a comprehensive analysis of operational data.
Self-perception
Self-perception
Driven by data, machines are equipped with self-awareness capabilities, achieving a shift from "post-event maintenance" to "pre-event warning." Through predictive models, it accurately captures signs of equipment anomalies, forecasts part lifespan and maintenance timing, and minimizes unexpected downtime losses.
Coiling performance prediction model
Filter degradation prediction model
Coiling performance prediction model
Filter degradation prediction model
