Unlock Energy Efficiency with AAEON AI Edge Powered by Digital Twins
AAEON's AI edge and inference solutions deliver real-time, low-power computing that empowers smarter, more efficient factories. By combining these capabilities with digital twin technology, manufacturers can simulate processes, optimize operations, and significantly reduce energy consumption across product design and production lines — all to achieve the goal of green manufacturing.
Features
- AI Inference Server: MAXER-2100
- Mini Tower Inference Server: MAXER-5100
- Embedded AI Edge Server: BOXER-8643-ADS
- AI Edge BOX PC: BOXER-8645AI, BOXER-8653AI, BOXER-8621AI, MXM-ACMA-PUC, UP Squared Pro 710H Edge
- AI Edge Board: BOXER-8654AI-KIT
Applications
AI Inference:
- Smart Energy Management
AI algorithms at the edge adjust lighting, HVAC, and equipment use in real time based on occupancy and production demand, reducing unnecessary energy usage.
- Dynamic Power Optimization
AI inference controls motor speeds, machine idle time, and power distribution for efficient consumption without human intervention.
- Real-Time Load Forecasting
Edge AI predicts peak energy demand and balances loads across systems to avoid overuse or waste.
Digital Twins:
- Factory Simulation for Efficiency
Digital twins simulate entire production workflows to identify energy-intensive steps and suggest lower-energy alternatives.
- Equipment Lifecycle Optimization
By simulating wear and energy usage, digital twins help schedule maintenance only when necessary, avoiding both overuse and downtime.
- Green Product Design
Engineers use digital twins to test materials and processes digitally, selecting options that require less energy in both manufacturing and product use.
Benefits
AI Inference:
- Real-time Decision Making: Processes data instantly at the edge, reducing latency and response time.
- Energy Efficiency: Avoids constant cloud communication, saving power and bandwidth.
- Improved Productivity: Enables predictive maintenance, quality control, and anomaly detection.
- Lower Operational Costs: Reduces downtime and manual intervention through automation.
Digital Twins:
- Virtual Simulation: Test production changes or product designs without physical resources.
- Process Optimization: Identify inefficiencies, test alternatives, and improve throughput digitally.
- Reduced Waste and Prototyping: Minimize material use and physical trial-and-error.
- Continuous Monitoring: Enables real-time feedback loops between the physical and digital world.
Block Diagram
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AAEON AI Edge Solutions
