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.

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Deployment Models

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

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.

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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

Typical Deployment Scenarios

Our platform supports projects ranging from Edge applications on embedded devices to large-scale distributed applications.

Single Server

• Server handles all runtime functions

Distributed Architecture

• Multiple servers across locations
• 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 Server

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).

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Redundant Server System With Centralized DB

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Cloud and Hybrid

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Security Zones - L1 to L4 (Concept)

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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.

1. 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:

Configuration

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

Key Architectural Benefits

Next Steps

• Review Technology Foundation for development platform details
• Explore Product Editions to select appropriate licensing
• Continue to The Four Pillars for module architecture

In this section...

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

1. Open Solutions Manager
2. Click File → Import Solution
3. Browse to downloaded example file (.dbsln)
4. Select import location
5. Open solution to explore

Customization Steps

1. Review the solution architecture in Designer
2. Update device connection settings for your hardware
3. Modify tag names to match your standards
4. Adjust displays for your branding
5. 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

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  "typicalTimeToImplement": {
    "quickDemo": "15-20 minutes",
    "industryTemplate": "2-4 hours",
    "customSolution": "1-4 weeks"
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