Paragon & Industry 4.0

Industry 4.0 integration of digitalisation, advanced inspection technology and data exchange in industrial processes is crucial to realise opportunities and benefits.

Data-Driven Decision Making

Industry 4.0 plays a key role in integrating real-time inspection data, predictive maintenance, and asset management into existing industrial systems.

Building on Paragon’s work in inspection technology and risk analysis, paragon’s machine learning (ML) models can process our inspection data, historical failure patterns, and current condition to predict and detect leaks.

Shell BONGA Industry 4.0 SBT inspection
360 Energy confirming SBT construction integrity
Tru-Fit System

Benefits of Industry 4.0

Predictive Maintenance

Instead of relying on periodic inspections, ML can analyse trends and anomalies to predict leaks before they happen, reducing unplanned downtime

  • Automation & Efficiency – Paragon’s ML models automate leak detection using advanced inspection data, reducing reliance on subjective manual inspections such as visual and gauging whilst improving response time
  • Integration with Digital Twins – ML enhanced leak prediction can be linked with digital twin models to simulate system performance and failure risks.
  • Cost reduction – lower operational costs through better resource utilisation.
  • Improved Safety – reduce hazardous tasks for workers.

By feeding sensor data into an ML model Paragon ranks leak risks dynamically these can then be linked to SAP, Maximo, or CMMS for automated alerts and maintenance scheduling.

Benefits in New Build

  • Early Detection of Defects – Prevents costly rework by catching errors before commissioning.
  • Enhanced Construction Quality Control – Ensures fittings and connections are assembled correctly.
  • Risk-Based Testing Prioritization – Focuses testing efforts on high-risk areas, saving time and resources.
  • Long-Term Reliability Prediction – Helps owners and operators anticipate future maintenance needs.

Typical Challenges of Industry 4.0

High Initial Investment: Upgrading to Industry 4.0 usually requires significant capital.

Paragon’s systems can be leased for a particular project or work scope allowing access to advanced technology without significant upfront investment.

Key Benefits of Leasing

  • Lower Upfront Costs – avoid large CAPEX investments.
  • Faster Adoption – deploy immediately without waiting for budget approvals.
  • Predictable Costs – Fixed leasing fees make budgeting easier
  • Technology Upgrades – regular upgrades to newer versions, ensuring customers
    always have the latest technology.
  • Risk Reduction – no worry about equipment obsolescence or depreciation.
  • Service & Maintenance Packages – calibration, maintenance, software updates, and technical support are included in the lease agreement, ensuring ongoing reliability.

Paragon Training & Certification

Paragon provides training and certification for our inspection systems helping to close
the skills gap and ensuring customers get the most out of the technology.

  • Provides confidence the workforce can use the technology effectively.
  • Reduces Errors & Misuse – effective training minimises false positives/negatives in
    inspections, extends equipment lifespan and avoids unnecessary system openings.
  • Supports Industry 4.0 Transition – Paragon can help bridge the gap with
    digitilisation.

Industry 4.0 SBT Inspection Requirements

Digitalise inspection and predict small-bore tubing leaks before they happen, increase safety, uptime and productivity whilst reducing risk using advanced data from non-invasive inspection. Ensure accurate construction data can be fed into into in-service risk based inspection for ML analysis.   

Our Team

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David Phin

TBC

George Robertson

TBC

The Tru-Fit® system provides the unique capability to non-invasively inspect SBT connectors and locate potential issues with high accuracy meeting Industry 4.0 whilst also being the only inspection method that complies with ALARP good practice inspection for HSE and Energy Institute Guidelines