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IIoT & Digital Twin Integration

We connect real-world equipment performance data back into your design workflows for continuous improvement.

Engineering Designs That Learn From Field Performance

At Asset-Eyes, we bridge traditional engineering design and IIoT-enabled equipment by structuring mechanical, electrical, and automation deliverables to support digital twin frameworks and performance feedback loops. Rather than retrofitting connectivity after design completion, we prepare engineering documentation and control systems to interface with sensors, edge devices, and cloud platforms from day one — turning static design documentation into dynamic, data-driven engineering assets that are Industry 4.0-ready from the start.

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Drawings Delivered
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Years Experience
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Global Partners

Skills & Tools

Explore the full range of engineering skills and standard design software we utilize to build solid structures.

Digital Twin Framework Design & Data Structure Planning Sensor Selection & Placement Optimization Control System Data Mapping & Protocol Integration Performance Analytics Workflow Development Predictive Maintenance Model Support Energy Efficiency Monitoring & Optimization Remote Diagnostics & Troubleshooting System Design Field Data Feedback Loop Analysis Legacy Equipment Retrofit Planning for IIoT Connectivity
MQTT & OPC UA Azure IoT Hub & AWS IoT Core Ignition SCADA (Inductive Automation) InfluxDB & TimescaleDB Grafana & Power BI Siemens / Rockwell / Schneider PLC Environments Python & Edge Computing ThingWorx (PTC) REST API Development

Specialized Engineering Services

01 IIoT-Ready Design Documentation
02 Sensor & Control System Integration
03 Digital Twin Framework Development
04 Predictive Maintenance & Energy Optimization
05 Remote Diagnostics, Retrofit & Legacy Integration
IIoT-Ready Design Documentation

IIoT-Ready Design Documentation

  • Mechanical drawings, electrical schematics, and control logic structured to serve as the foundation for digital twin implementations
  • Ensures design data interfaces seamlessly with real-time sensor data and performance analytics
Sensor & Control System Integration

Sensor & Control System Integration

  • Mechanical mounting solutions and electrical connections for temperature, pressure, flow, vibration, and power monitoring sensors
  • PLC and HMI logic developed to collect and transmit operational data via standard industrial protocols to edge gateways and cloud platforms
  • Designed without compromising equipment functionality or serviceability
Digital Twin Framework Development

Digital Twin Framework Development

  • Virtual representations of equipment that mirror real-world performance
  • Enables remote monitoring, predictive analytics, and design validation using actual operational data
Predictive Maintenance & Energy Optimization

Predictive Maintenance & Energy Optimization

  • Condition-based monitoring frameworks that analyze equipment health indicators to predict component failures
  • Monitoring systems tracking energy consumption patterns for data-driven efficiency improvements
Remote Diagnostics, Retrofit & Legacy Integration

Remote Diagnostics, Retrofit & Legacy Integration

  • Remote performance assessment and diagnostics for engineering and service teams
  • Upgrade packages for existing equipment, adding modern sensing and connectivity capabilities
  • Integration of existing building management systems, SCADA networks, and enterprise software with modern IIoT platforms

Our Engineering Process

1

Design Input

We assess existing systems, sensor requirements, and target performance outcomes.

2

Framework & Integration Design

Developing digital twin structure, sensor placement, and control system data mapping.

3

Review & Verify

Protocol validation, connectivity testing, and data flow confirmation.

4

Final Handover

Delivering IIoT-ready documentation, digital twin framework, and integration files.

Let's Talk About Your Engineering Needs

Tell us where your team needs more capacity. We'll show you how our engineers can help.