IIoT & Digital Twin Integration

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

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Engineering Designs That Learn From Field Performance

Asset-Eyes bridges the gap between traditional engineering design and modern IIoT-enabled equipment by structuring your mechanical, electrical, and automation deliverables to support digital twin frameworks and performance feedback loops. Rather than retrofitting connectivity after design completion, we prepare your engineering documentation and control systems to seamlessly interface with sensors, edge devices, and cloud platforms from day one. This approach enables HVAC/R and industrial equipment manufacturers to capture real-world performance data and feed it back into future design iterations, creating a continuous improvement cycle where field intelligence directly informs engineering decisions. Our IIoT integration services transform static design documentation into dynamic, data-driven engineering assets that support predictive maintenance, energy optimization, and performance validation throughout equipment lifecycles. By combining our mechanical, electrical, and automation expertise with IIoT readiness, we deliver complete engineering packages that are Industry 4.0 ready from the start.

Areas of Expertise

Functional Skills

  • Digital twin framework design and data structure planning
  • Sensor selection and placement optimization within mechanical designs
  • Control system data mapping and communication protocol integration
  • Performance analytics workflow development
  • Predictive maintenance model support and implementation
  • Energy efficiency monitoring and optimization strategies
  • Remote diagnostics and troubleshooting system design
  • Field data feedback loop analysis and design improvement processes
  • Legacy equipment retrofit planning for IIoT connectivity
  • Integration of operational data with mechanical, electrical, and automation systems

Software Skills

  • MQTT and OPC UA industrial communication protocols
  • Azure IoT Hub and AWS IoT Core platform integration
  • Ignition SCADA and Inductive Automation platforms
  • InfluxDB and TimescaleDB for time-series data management
  • Grafana and Power BI for performance visualization
  • PLC programming environments (Siemens, Rockwell, Schneider)
  • Python and edge computing development
  • Integration with SolidWorks, Inventor, and AutoCAD workflows
  • ThingWorx and PTC digital twin platforms
  • REST API development for enterprise system integration

Services