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FrameworX embodies the principle of Unified by Design - a single platform architecture that eliminates the traditional boundaries between development, deployment, and runtime environments. This unified approach reflects in the platform's native inclusion of all required modules for real-time applications: industrial process modules (alarms, historian, devices with 100+ connectors) and core application modules (scripts, reports, datasets).

Vision: Aim high, start simple, scale without limits.

The architecture enables you to design once and deploy everywhere - desktop (.NET), web (WebAssembly), and mobile - from a single solution configuration.


Real-Time In-Memory Database

When a solution executes, variables like Tags, Templates, and Assets are loaded into memory, acting as a central point of reference for all functional modules. The TServer.exe process maintains this real-time database, running as either a Windows Service or deployed to Linux and other supported operating systems.

All modules interact with the real-time database through a publish/subscribe model, ensuring consistent data access and efficient performance across the entire system.


Deployment Models

FrameworX provides versatile deployment architectures tailored to your operational requirements, from standalone configurations to sophisticated distributed systems.

Unified Designer

Standalone Configuration

  • All components on a single machine
  • Ideal for small to medium applications
  • Can serve as Edge data collector
  • Simplified maintenance

Distributed Architecture

  • Multiple servers with specialized roles:

    • DataHub Station - Field-level I/O acquisition, alarm processing, historian
    • Displays Portal - User interface serving for distributed operator groups
    • Enterprise-wide solutions with optimized network usage

Redundant Systems

  • Hot-standby failover with automatic switchover
  • No data loss during transitions
  • Synchronized historian and alarm databases
  • Mission-critical application support

Cloud and Hybrid

  • On-premise edge runtime for local control
  • Cloud services for analytics and storage
  • MQTT/HTTPS protocols for secure communication
  • Flexible scaling based on demand

Typical Deployment Scenarios

Single Server

  • Server handles all runtime functions

Stand-Alone System

  • Local client via Rich Client or remote SmartClient or Web
  • Suitable for machine operation and Edge systems.


Server and Clients System

  • Local or remote clients via Rich Client, Web Browser, or Mobile
  • Suitable for single-site or line operations


Distributed Systems

  • Multiple servers across different plants
  • Local operators at each site
  • Central control room for enterprise monitoring
  • Each site can have redundant server pairs

Distributed Data Acquisition System

Distributed Control System

In a Distributed Data Acquisition System, a server machine hosts device modules communicating with remote PLCs or historians. The SCADA client can be on the same server or a separate computer. This setup is ideal for plants with devices on slow or limited networks, optimized with I/O servers for better performance.

Multiple servers are set up across different plants or projects, enabling access to control rooms for each. Users select the specific plant they wish to monitor since clients for each plant are not integrated into one machine. This setup features discrete locations with local operators and redundant servers for each site.


Redundant Server Configuration

  • Primary and backup servers with heartbeat monitoring
  • Automatic client reconnection on failover

Local Database with Alarm/Historian Synchronization

Remote Database Cluster


Cloud and Hybrid

Security Zones Secure Data Flow



Key Architectural Benefits

BenefitDescriptionImpact
Unified DevelopmentSingle Designer for all modulesReduced learning curve
Modular DesignIndependent module operationEasier troubleshooting
Open StandardsOPC UA, MQTT, REST APIsEnterprise integration
ScalabilityFrom embedded to enterpriseInvestment protection
Platform AgnosticWindows, Linux, DockerDeployment flexibility

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