| Availability: | |
|---|---|
| Quantity: | |
NYX
1. Software-Defined Architecture: It decouples hardware and software, allowing dynamic resource allocation and control logic updates without physical reconfiguration. It supports rapid deployment of virtualized control engines with <100μs scheduling jitter.
2. Full-Digital APL Network: It leverages IEEE 802.3cg 10BASE-T1L technology to enable IP-based field instrumentation, achieving 2.Gbps bandwidth, 10 km range, and intrinsic safety in Zone 2 hazardous areas.
3. Cloud-Native NyxOS: It orchestrates containerized control services with high availability and auto-scaling capabilities. It supports 1ms control cycles and GPU-accelerated AI model inference for real-time optimization.
4. AI-Powered Control Tools: It features AI-PID for adaptive tuning via reinforcement learning and an AI code assistant for auto-generating ST programs from natural language descriptions.
5. Unified Engineering Environment: It integrates configuration, monitoring, and diagnostics in a web-based HMI compliant with ISA-101 standards, enabling 2.5D visualization and multi-language switching.
1. Software-Defined Architecture: It decouples hardware and software, allowing dynamic resource allocation and control logic updates without physical reconfiguration. It supports rapid deployment of virtualized control engines with <100μs scheduling jitter.
2. Full-Digital APL Network: It leverages IEEE 802.3cg 10BASE-T1L technology to enable IP-based field instrumentation, achieving 2.Gbps bandwidth, 10 km range, and intrinsic safety in Zone 2 hazardous areas.
3. Cloud-Native NyxOS: It orchestrates containerized control services with high availability and auto-scaling capabilities. It supports 1ms control cycles and GPU-accelerated AI model inference for real-time optimization.
4. AI-Powered Control Tools: It features AI-PID for adaptive tuning via reinforcement learning and an AI code assistant for auto-generating ST programs from natural language descriptions.
5. Unified Engineering Environment: It integrates configuration, monitoring, and diagnostics in a web-based HMI compliant with ISA-101 standards, enabling 2.5D visualization and multi-language switching.
Control Data Center:OS: NyxOS; Control Cycle: 1ms (min); Scheduling Jitter: <100μs; Programming: IEC 61131-3/C++/Python
Network: APL: 10BASE-T1L, 1 Gbps, 10 km range; PON: Redundant optical backbone
I/O Systems: SmartEIO: 96 ch/box, software-configurable; APL: 24 ports/switch, PoE-enabled
AI Capabilities:AI-PID: Reinforcement learning; AI Assistant: ST code generation from NLP
Certifications:CE/LVD/EMC, ISA71.04 G3, Achilles Level II, GB/T 3836 (Zone 2)
Control Data Center:OS: NyxOS; Control Cycle: 1ms (min); Scheduling Jitter: <100μs; Programming: IEC 61131-3/C++/Python
Network: APL: 10BASE-T1L, 1 Gbps, 10 km range; PON: Redundant optical backbone
I/O Systems: SmartEIO: 96 ch/box, software-configurable; APL: 24 ports/switch, PoE-enabled
AI Capabilities:AI-PID: Reinforcement learning; AI Assistant: ST code generation from NLP
Certifications:CE/LVD/EMC, ISA71.04 G3, Achilles Level II, GB/T 3836 (Zone 2)
Process Industries: Oil refineries and chemical plants using APL for field-level IP integration and AI-PID for reactor control optimization.
Pharmaceuticals: GMP-compliant batch processes with cloud-native audit trails and paperless HMI (ISA-101).
Power & Utilities: Distributed energy resource (DER) management with NyxOS’s scalable virtualized controllers.
Water Treatment: Plant-wide automation with SmartEIO’s modular I/O for remote pump stations and APL for sensor networks.
Hybrid Manufacturing: Discrete-process production lines supported by Python/C++ advanced control algorithms.
Process Industries: Oil refineries and chemical plants using APL for field-level IP integration and AI-PID for reactor control optimization.
Pharmaceuticals: GMP-compliant batch processes with cloud-native audit trails and paperless HMI (ISA-101).
Power & Utilities: Distributed energy resource (DER) management with NyxOS’s scalable virtualized controllers.
Water Treatment: Plant-wide automation with SmartEIO’s modular I/O for remote pump stations and APL for sensor networks.
Hybrid Manufacturing: Discrete-process production lines supported by Python/C++ advanced control algorithms.