Key Concept: UNFIED BY DESIGN
Multiplafrom, WEbAssembly, ALL-moduels, all connects, mult0laugenst
then Follows User Journey: Create → Design → Deploy/Run
Which the main blocks down
the child pages explore tho concepts in 3 child Pages; SOlutnDenter. Desing & ModulesConfig, Runtime DIpalys & Utititlies (or Tools)
Core Components — servers, services, modules; how they fit together.
Workspaces — Solution Center Overview and Designer Workspace (can be siblings or a combined page).
Runtime & Clients — SmartClient/Web, roles, where logic runs.
Platform UI Tools Interaction
Platform Components
Our platform relies on the three components described below. It supports distributed architectures, which means that each one of these software components may be running on one computer, exchanging data with the modules on other computers.
Depoloyment models
Our platform provides versatile deployment choices tailored to your operational requirements. Whether you require a straightforward standalone configuration with both server and client components on a single machine or a sophisticated distributed system optimized for slower networks, our platform seamlessly adjusts.
Our platform is adept at managing client and server systems, whether they are networked computers or accessed remotely via WAN or Cloud. Additionally, it facilitates distributed control systems across various plants for real-time monitoring and management. For mission-critical applications, you have the option to deploy redundant servers with automatic failover and data synchronization, ensuring continuous operation.
Deployment Architectures
| Unified Designer | |
|---|---|
Standalone Configuration
| Distributed Architecture
|
Redundant Systems
| Cloud and Hybrid
|
Typical Deployment Scenarios
Our platform supports projects ranging from Edge applications on embedded devices to large-scale distributed applications.
This section covers some standard deployment architectures.
Stand-Alone System
In a Stand-Alone System, all components run on one machine, like a Windows desktop or industrial PC, serving as both server and client. It can also act as an Edge data collector for remote platforms.
ingle server with local or remote clients
Distributed Data Acquisition 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.
Client and Server System
In a Client and Server System, the platform's server handles server-side modules such as alarms, historians, and data acquisition.
Operator client stations run on other networked or remote computers connected via WAN or Cloud interface.
Distributed Architecture
Distributed Control System
In a Distributed Control System, 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, along with a central control room for simultaneous monitoring of all sites. Each site is represented by a separate cluster comprising primary and standby servers.
Redundant Systems
Redundant Server System
The Redundant Server System comprises two separate computers running the platform's servers, with redundancy managed automatically. Simply specify the IP addresses of the primary and secondary stations. Here are some common deployment scenarios:
- The Alarm and/or Historian database is hosted on a third machine dedicated to historical data.
- Both primary and secondary servers store historical data for the Alarm and/or Historian modules, with automatic data synchronization.
- Redundancy is implemented for the device module (PLC communication).
Redundant Server System With Centralized DB
Cloud and Hybrid
Security Zones - L1 to L4 (Concept)
1. Solutions Manager (Solution Management)
Our platform enables you to create industrial applications for any platform - you can run it on Windows, Linux, Mac, Routers and Universal Robots. This is the first interface you'll see when running the software and it showcases all the solution files you have. You can create, edit, manage and run solutions from here.
2. Designer (Solution Configuration)
The Designer Workspace allows you to edit solutions’ displays and tags, as well as modules such as Devices, Alarms, Scripts, Datasets and Historian.
3. Runtime (Solution Execution)
When you run your solution, the first UI you'll be presented with is the TStartup, which is responsible for loading everything the solution needs. This includes the TServer, which enables communications with databases, and the modules that will act behind the scenes to display the information the user sees. It will also open the User Interface, which can be either Windows or Web Clients.
one-page orientation + high-level diagram; link to pillars and key runtimes.
Stand-Alone System
In a Stand-Alone System, all components run on one machine, like a Windows desktop or industrial PC, serving as both server and client. It can also act as an Edge data collector for remote platforms.
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Consolidation to do:
Solution Examples
Overview
Explore pre-built FrameworX solutions that demonstrate best practices and industry-specific implementations. These examples range from quick 15-minute demos to complete industry templates, providing practical starting points for your own solutions. All examples include full source code and can be modified to match your specific requirements.
Quick Demos - See FrameworX in Action
Brewery Solution
A complete craft brewery automation system demonstrating batch processing, recipe management, and quality control.
Key Features:
- Batch tracking with ISA-88 state models
- Recipe management with parameter scaling
- Temperature control and fermentation monitoring
- OEE calculations and production reporting
- Mobile operator rounds application
Technologies Demonstrated:
- User Data Types for equipment (tanks, valves, pumps)
- Sequential batch logic using Scripts
- Historian trends for fermentation profiles
- SQL integration for recipe storage
- Responsive displays for control room and mobile
Download & Run Time: 15 minutes
Manufacturing Line
End-to-end production line monitoring with real-time KPIs, downtime tracking, and predictive maintenance.
Key Features:
- Real-time OEE with drill-down to Six Big Losses
- Andon board displays with email/SMS alerts
- Predictive maintenance using vibration trends
- Shift production reports with quality metrics
- Energy monitoring per product unit
Technologies Demonstrated:
- High-speed data collection (100ms polling)
- Complex calculations in Scripts module
- Alarm area hierarchies with escalation
- Integration with ERP via REST APIs
- Dashboard widgets with live KPIs
Download & Run Time: 20 minutes
Building Management
Smart building control system with HVAC, lighting, access control, and energy optimization.
Key Features:
- Multi-zone HVAC with scheduling
- Occupancy-based lighting control
- Energy consumption dashboards
- Tenant billing integration
- Maintenance work order generation
Technologies Demonstrated:
- BACnet and Modbus device integration
- Calendar-based scheduling
- Weather service API integration
- Power monitoring via IEC 61850
- Floor plan navigation with SVG graphics
Download & Run Time: 15 minutes
Industry Templates
Automotive Manufacturing
Complete automotive plant solution following AIAG standards with MES integration.
Included Modules:
- Body Shop - Robot cell monitoring, weld quality tracking
- Paint Shop - Booth environmental control, color changeover
- Final Assembly - Torque tool integration, ANDON system
- Quality Control - SPC charts, defect tracking, AQMS integration
Pre-configured Components:
- 50+ equipment UDTs (robots, conveyors, PLCs)
- OPC UA connections to major robot brands
- SAP ME/MES interface via web services
- MQTT to plant-floor tablets
- PowerBI report templates
Compliance & Standards:
- AIAG CQI data collection
- VDA 6.3 process audit trails
- ISO/TS 16949 documentation
- Industry 4.0 KPI calculations
Food & Beverage
GAMP5-compliant solution for food processing with full traceability.
Included Modules:
- Raw Material Receiving - Lot tracking, quality testing
- Processing - CIP cycles, pasteurization records
- Packaging - Label verification, case coding
- Warehouse - FIFO management, shipping validation
Pre-configured Components:
- Recipe management with version control
- Electronic batch records (EBR)
- 21 CFR Part 11 audit trails
- Allergen tracking and validation
- Mock recall reporting
Integration Examples:
- ERP recipe download/upload
- LIMS quality results
- WMS inventory synchronization
- Track & trace serialization
Water/Wastewater
SCADA solution for municipal water systems with EPA reporting.
Included Modules:
- Water Treatment - Chemical dosing, filter monitoring
- Distribution - Pump station control, leak detection
- Wastewater - Process control, effluent monitoring
- Regulatory - EPA reporting, compliance dashboards
Pre-configured Components:
- PID control loops with auto-tuning
- Pump efficiency calculations
- Energy cost optimization
- Predictive maintenance algorithms
- GIS integration examples
Compliance Features:
- EPA eReporting formats
- State regulatory report templates
- Chain of custody tracking
- SCADA security per ICS-CERT
Energy Management
Multi-site energy monitoring with ISO 50001 compliance tools.
Included Modules:
- Monitoring - Real-time consumption tracking
- Analysis - Baseline models, regression analysis
- Reporting - EnPI calculations, savings verification
- Control - Demand response, load shedding
Pre-configured Components:
- Multi-utility dashboards (electric, gas, water, steam)
- Weather normalization algorithms
- Cost allocation by department/product
- Peak demand prediction
- Carbon footprint calculations
Standards Support:
- ISO 50001 EnPI tracking
- ENERGY STAR integration
- Measurement & Verification (IPMVP)
- GHG Protocol reporting
Architecture Patterns
Standalone System
Single-server solution ideal for small to medium applications.
Example Configuration:
- Windows Server 2022 or Linux
- 16GB RAM, 4 cores
- Local SQL Express database
- 5,000 tags, 3 PLCs
- 10 concurrent users
Use Cases:
- Machine OEM solutions
- Small manufacturing cells
- Building automation
- Pilot systems
Deployment Time: 2 hours
Redundant Systems
Hot-standby configuration with automatic failover for mission-critical applications.
Example Configuration:
- Primary and backup servers
- Shared storage or database replication
- Redundant network paths
- Virtual IP switching
- Sub-second failover
Use Cases:
- Pharmaceutical manufacturing
- Power generation
- Data centers
- Critical infrastructure
Key Features:
- No data loss during switchover
- Automatic client reconnection
- Redundant historian collectors
- Split I/O configurations
Distributed SCADA
Multi-site deployment with central monitoring and local autonomy.
Example Configuration:
- Central command center
- Regional data concentrators
- Remote edge nodes
- Store-and-forward capability
- WAN optimization
Use Cases:
- Pipeline monitoring
- Multi-plant corporations
- Utility distribution
- Transportation systems
Architecture Components:
- Central historian aggregation
- Hierarchical alarm management
- Multi-site report generation
- Bandwidth-optimized protocols
Cloud Integration
Hybrid architecture combining on-premise control with cloud analytics.
Example Configuration:
- Local FrameworX runtime
- MQTT to cloud platforms
- Edge processing rules
- Cloud dashboard access
- Mobile notifications
Use Cases:
- IIoT implementations
- Multi-tenant SaaS
- Global fleet management
- Predictive analytics
Cloud Services Integration:
- AWS IoT Core + Timestream
- Azure IoT Hub + Data Explorer
- Google Cloud IoT + BigQuery
- Custom REST APIs
Getting Started with Examples
Download and Install
- Open Solutions Manager
- Click File → Import Solution
- Browse to downloaded example file (.dbsln)
- Select import location
- Open solution to explore
Customization Steps
- Review the solution architecture in Designer
- Update device connection settings for your hardware
- Modify tag names to match your standards
- Adjust displays for your branding
- Configure security and users
Learning Path
- Start with Quick Demos - Understand basic concepts
- Explore Industry Templates - See best practices
- Study Architecture Patterns - Plan deployment
- Build Custom Solution - Apply learned concepts
Best Practices from Examples
Data Modeling
- Use consistent tag naming across solutions
- Create reusable UDTs for common equipment
- Organize assets hierarchically
- Plan for expansion from the start
Performance
- Optimize polling rates per device capability
- Use event-driven updates when possible
- Implement data reduction at the edge
- Cache static data locally
User Experience
- Design for the primary user persona
- Provide progressive disclosure of complexity
- Ensure mobile responsiveness
- Include contextual help
Related Resources
- Quick Start Guide - Build your first solution
- Building Solutions - Detailed methodology
- Platform Architecture - System design patterns
- Training Videos - Video walkthroughs of examples
AI Assistant Data
<details> <summary>Structured Information for AI Tools</summary>
json
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"category": "Learning Resources",
"examples": {
"quickDemos": ["Brewery", "Manufacturing Line", "Building Management"],
"industryTemplates": ["Automotive", "Food & Beverage", "Water/Wastewater", "Energy"],
"architecturePatterns": ["Standalone", "Redundant", "Distributed", "Cloud"]
},
"typicalTimeToImplement": {
"quickDemo": "15-20 minutes",
"industryTemplate": "2-4 hours",
"customSolution": "1-4 weeks"
},
"keyLearningObjectives": [
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"Learn industry best practices",
"See architecture patterns",
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],
"commonCustomizations": [
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"downloadLocation": "Solutions Manager > File > Import Solution"
}</details>