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Industry applications

Connect controls and data around the problem on site.

Explore PLC integration, digital twins, instrumentation data and on-premises AI for manufacturing lines, research facilities and energy systems.

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Manufacturing lines and smart factories

Operational challenge
Separate PLC tags and screens make it hard to see the state of the whole line.
Application approach
Connect signals and operating screens while retaining existing controllers. Bring process states and alarm history into the same view.
What to review first
Review PLC models, protocols, tag lists, permitted downtime and write access.
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Process and material-handling systems

Operational challenge
When equipment stops, the blockage location and restart conditions may be scattered across different screens.
Application approach
Connect 3D process views, sensor states and history replay to examine the sequence before and after a stoppage.
What to review first
Review process sequences, position signals, recording intervals and what the available data can reconstruct.
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Accelerators and large research facilities

Operational challenge
Beamline devices and utilities need integrated monitoring alongside precision measurements, alarms and interlocks.
Application approach
Build EPICS IOCs, device communication, PV conventions and operator screens, connected to data acquisition and analysis.
What to review first
Review device specifications, time synchronization, channel counts and site acceptance criteria.
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Energy and utility systems

Operational challenge
Pressure, temperature and flow changes span multiple assets, making causes and operating conditions difficult to compare.
Application approach
Connect equipment signals and trends, and assess a twin environment for comparing process responses under different conditions.
What to review first
Review sensor accuracy, missing data, operating limits and model validation criteria.
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Nuclear and SMR research simulators

Operational challenge
Operating data alone cannot explain internal structures and physical states that are difficult to observe directly.
Application approach
Connect internal 3D views, analysis models, time-series data and replay for research, analysis and simulation.
What to review first
Review model assumptions, validation scope and data rights. Safety-class control applications require a separate requirements assessment.
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AI in restricted networks and research organizations

Operational challenge
Technical documents and operating data cannot always leave the site, and AI results need review before use.
Application approach
Combine on-premises analysis, inference and simulation with operator approval and validation before deployment.
What to review first
Review server resources, access rights, data transfer policies and decisions requiring human review.
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Begin with a focused validation.

  1. 01

    Map the current system

    Review equipment, protocols, operating states and existing screens.

  2. 02

    Validate a defined scope

    Check data connections and the usefulness of screens and models on one asset or process segment.

  3. 03

    Deploy and hand over

    Agree permissions, alarms, interlocks and acceptance tests, then prepare deployment and operating documentation.

Start with the conditions at your site.

Define the scope after reviewing equipment access, data quality and safety requirements. Explore completed projects in our project record, then discuss what to retain and what to connect in your existing system.

Discuss your project →View project record →