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AR Maintenance and VR Fault-Finding Training for Anaerobic Digestion Equipment

AR Maintenance and VR Fault-Finding Training for Anaerobic Digestion Equipment

Relevant case studies

Blog post: 10/11/2026 6:14 pm
Spark Team Author: Spark Team

AR Maintenance and VR Fault-Finding Training for Anaerobic Digestion Equipment

The reliability of an anaerobic digestion plant depends on far more than the digester vessel itself. Pumps, mixers, macerators, feed systems, valves, gas-treatment equipment, instrumentation and CHP or biomethane systems all require competent operation and maintenance.

When one part of the process fails, engineers may need to diagnose the problem quickly while controlling associated energy, pressure, gas and process hazards.

Combining VR fault-finding training with AR maintenance guidance can help prepare teams before an intervention and support them while the real work is taking place.

Why Breakdown Training Is Difficult

Breakdowns occur when operations least want them.

That makes a live fault a poor time to begin training an inexperienced technician.

HSE notes that maintenance may be planned or undertaken at short notice following a breakdown and that such non-routine activities can create additional hazards.

VR allows representative faults to be created on demand.

Virtual Fault Diagnosis

A trainee could enter a virtual representation of the AD facility and receive an operational symptom rather than a direct instruction.

For example:

"Feed rate has reduced and the transfer pump is showing abnormal behaviour. Diagnose the cause."

The employee could inspect virtual gauges, control interfaces, valves and equipment, then decide what tests are appropriate.

Different scenarios might reproduce:

  • blocked pumps;

  • incorrect valve positions;

  • failed sensors;

  • mixer faults;

  • abnormal gas readings;

  • feed-system interruption;

  • CHP alarms; or

  • process instrumentation problems.

Training the Isolation Before the Repair

Finding the fault is only part of the job.

The simulation can require the user to implement the site's isolation procedure before accessing equipment.

This is particularly useful for teaching that an apparently simple mechanical task may involve multiple energy sources or process connections.

HSE's safe-isolation guidance emphasises controlling plant and hazardous releases during intrusive activities such as maintenance.

AR as an Interactive Maintenance Manual

Once the engineer reaches the real machine, AR can display the relevant guidance in context.

The system could recognise an asset from a marker, label or computer-vision model and present:

  • asset details;

  • exploded 3D models;

  • component names;

  • isolation points;

  • inspection sequence;

  • removal instructions;

  • replacement procedure;

  • technical values;

  • photographs; and

  • maintenance history where integrated.

Showing Hidden Process Information

AR is particularly useful where important information cannot be seen physically.

Digital overlays could illustrate the expected direction of feedstock, gas or liquid flow through pipework.

A technician troubleshooting a valve arrangement could therefore compare the required flow path against the physical installation.

The same concept can highlight which pipe or component relates to a particular system where multiple services are located close together.

Remote Expert Assistance

AR can also enable an experienced specialist to see what the field engineer is seeing and provide guidance remotely.

Research into AR-supported industrial maintenance has explored systems combining technician interfaces with expert decision support.

For geographically distributed AD portfolios, this can be especially attractive because specialist competence does not always exist at every individual site.

Preserving Knowledge From Experienced Engineers

Immersive training also provides a mechanism for capturing expertise.

An experienced engineer's preferred diagnostic sequence can be formalised into a training simulation. Important visual clues, inspection locations and decision points can become part of the module.

The result is not a replacement for experienced people. It is a way of distributing more of their knowledge throughout the organisation.

A Bespoke System for a Bespoke Plant

No two AD facilities are identical. Equipment suppliers, pipework, process configuration and operational procedures vary.

Spark therefore only creates bespoke solutions.

A project can reproduce the customer's actual equipment and procedures rather than asking engineers to transfer learning from a generic model to a different physical plant.

Conclusion: Train the Fault Before the Fault Happens

Breakdowns combine technical uncertainty with operational pressure. That makes them ideal candidates for simulation.

VR enables engineers to practise diagnosis, isolation and repair sequences before equipment fails. AR can then put the relevant information alongside the real asset during the job.

For AD operators, combining both technologies can support faster knowledge transfer, stronger maintenance competence and fewer mistakes during complex interventions.

Interested in turning your AD maintenance procedures into interactive VR and AR workflows? Contact Spark.