De-Risking SCADA Modernization
SCADA (Supervisory Control & Data Acquisition) is vast (spanning industrial, transportation, manufacturing, and infrastructure sectors), is outdated, and is stymied by modernization gridlock.
- Analysts report the central SCADA customer priority is edge-node automation to improve performance and thereby overcome legacy SCADA limitations, including operator dependency.
- SCADA systems cannot just be replaced, but must be incrementally modernized, where emerging edge computing frameworks are a key element, but not the entire solution.
- Today, the brute force integration of SCADA with modern IT /OT is ineffective, costly, and complex.
SCADA and edge-computing platforms must converge to achieve edge-node automation
Requires decentralization into a distributed intelligent control that is implemented in a tiered-hierarchy of semi-autonomous embedded, edge-node computers to enable simultaneous state management integrity between SCADA and modern edge computing platforms.
Provides high-bandwidth data flows to improve state management performance.
Embedded computers leverage edge computing to provide tier-level, closed-loop autonomy, transforming legacy SCADA manual remote control into ‘fly-by-wire’ robotic operability.
Grid Pathway is a self-funded startup that has invented a disruptive Robotic State Engine (RSE) technology to enable critical edge-node automation controller capabilities.
- Adaptive configuration, coordination, and collaboration services form a robotically-operable, isochronous-gateway to harmonize industrial sector edge computing, (e.g. SCADA).
- An ‘AI-enabled middleware appliance’ delivers RSE as an embedded, IoT-like device to be transparently-inserted onto the SCADA network edge, leaving the existing SCADA footprint intact.
- Integration with modern edge computing creates an intelligent, distributed, real-time, semi-autonomous state management network.