INDUSTRIAL INTELLIGENCE, CONNECTED

Intelligence for
low-carbon
industry.

Connect operations, energy, equipment and emissions in one AI intelligence layer. Understand inefficiencies. Predict performance. Optimize what matters.

Explore the platform
ENGINEERED FOR THE REALITIES OF INDUSTRY.
SYSTEM ARCHITECTUREARV / 01
The Arvane industrial intelligence architectureSCADA, production, energy, equipment and maintenance signals connect to an intelligence layer, informing production, energy, equipment health, cost and carbon decisions.SCADAPRODUCTIONENERGYEQUIPMENTMAINTENANCEARVANEINTELLIGENCE LAYER
SCADAPRODUCTIONENERGYEQUIPMENTMAINTENANCE
ARVANEIntelligence layerCONTEXT → MODELS → DECISIONS

02Energy use connected to actual operating conditions.

ONE CONNECTED OPERATING PICTURE
ProductionEnergyEquipment healthCostCarbon
EXPLORE

Industrial emissions
are an operational
problem.

Industry already generates vast amounts of data. The connection between production, energy, equipment behavior, cost and carbon too often remains fragmented.

PRODUCTIONENERGYCARBON

Knowing total emissions
is not enough.

Industrial teams need to understand the operating reality behind the number.

  1. 01Where do emissions originate?
  2. 02Why is energy consumption changing?
  3. 03Which assets are becoming inefficient?
  4. 04How does production affect carbon intensity?
  5. 05What can reduce both emissions and cost?

One intelligence layer.
The whole operating picture.

Connect the systems you have.
Understand the relationships you’re missing.

THE CONNECTED OPERATING MODELINPUT → INTELLIGENCE → IMPACT
01 / CONNECTYour industrial systems
SCADA / PLCIndustrial IoTERP / MESSmart metersMaintenanceProduction
02 / REASONOne intelligence layer
ARVANEContext. Models. Decisions.
UnderstandDetectPredictOptimizeVerify
03 / IMPROVEConnected outcomes
ProductionEnergyEquipment healthCostCarbon
EXISTING INFRASTRUCTURE. SHARED INTELLIGENCE.ENGINEERING TEAMS IN CONTROL
FIVE CONNECTED CAPABILITIES

From understanding to better decisions.

CONNECTED INTELLIGENCE

Five connected capabilities.
One operating picture.

Connect the operating picture.

Understand energy and carbon in the context that matters: a facility, a production line, an asset, or a unit of output.

Bring energy consumption, production output and emission factors into a shared operational model. Trace intensity back to its source.

Energy mappingCarbon intensityProduction context
ARVANE / INTELLIGENCEOPERATIONAL INTELLIGENCE
OPERATIONS / FACILITY 01 / FACILITY OVERVIEW

Facility overview

SAMPLE DATA
Production output1,240t / day
Energy intensity112kWh / t
Carbon intensity0.62tCO₂e / t
Energy performanceObserved Expected
500460420380CYCLE 01CYCLE 12
ASSET / SYSTEMENERGYCONTEXT
Process line 0162.4 MWhProduction
Compressed air18.2 MWhReview deviation ↗
Thermal utilities58.3 MWhProcess heat
FACILITY 01 / OPERATING VIEWENGINEERING CONTEXT INCLUDED

FIG. 02A connected view of production, energy and carbon.

A signal becomes
an operational decision.

A change in energy consumption is a starting point.
Intelligence connects it to what happens next.

ASSET INTELLIGENCEASSET OPERATING EXAMPLE
COMPRESSED AIR / C-14

Compressor C-14

Expected consumption400kWh / cycle
Observed consumption468kWh / cycle
ENERGY / PRODUCTION CYCLEObserved Expected
500460420380CYCLE 01CYCLE 12
468 kWh / cycle
400 / EXPECTED520 / HIGHER DEMAND
DEVIATION DETECTED+17%

More energy. Comparable output.

  1. 01
    Investigate equipment behavior

    Check for leakage, fouling or degradation.

  2. 02
    68 kWh additional energy / cycle

    Consumption above the expected baseline.

  3. 03
    Connect the cost and carbon

    Apply the relevant tariff and emission factor.

  4. 04
    Recommend an investigation

    An engineer validates the cause and response.

ASSET OPERATING EXAMPLE. Sample asset data shows how an energy deviation informs investigation, cost and carbon analysis.

From visibility
to informed action.

Understand the operation. Validate the decision.
Connect insight, action and operational accountability.

01 / UNDERSTAND

Connect operational signals to a consistent view of performance, energy and carbon.

Intelligence supports the operator. Arvane’s approach combines insight and decision support. Any future integration with control workflows requires approved constraints, engineering validation and human oversight.

Complex operations.
A connected perspective.

Where energy is fundamental to production,
every operational decision matters.

THERMAL PROCESS SYSTEMFIG. 01
PROCESS SIGNALENERGY DEMANDASSET CONDITIONARVANE / INDUSTRIAL SYSTEMSSCHEMATIC

Every degree. Every tonne.

Connect kiln performance, fuel mix, grinding demand and production output to understand the energy and carbon intensity of every operating decision.

Kiln thermal efficiencyAlternative fuel mixGrinding energyClinker production

Built around
industrial operations.

Your infrastructure.
A new layer of intelligence.

Arvane’s approach adds intelligence above the systems industrial teams already rely on. Connect operational context across existing infrastructure, without replacing the systems that run the plant.

SOURCE / 01

Operational technology

  • SCADA
  • PLCs / DCS
  • Industrial IoT
  • Equipment telemetry
SOURCE / 02

Energy systems

  • Smart meters
  • Utility systems
  • Energy management
  • Fuel consumption
SOURCE / 03

Enterprise systems

  • ERP / MES
  • Maintenance systems
  • Production databases
  • Asset registers
SOURCE / 04

External intelligence

  • Weather
  • Grid carbon intensity
  • Energy markets
  • Emission factors
ARVANE INTELLIGENCE LAYERNormalize signals. Preserve context. Inform decisions.
APPLIED AI / CLEAR PURPOSE

Models that answer
operational questions.

Model selection follows the engineering problem. Time-series analysis, performance modelling and optimization connect operating signals to actionable decisions.

01

Find meaningful deviations

Anomaly detection · Root-cause analysis

02

Anticipate operating conditions

Time-series forecasting · Energy-demand forecasting

03

Understand changing assets

Equipment-performance modelling · Predictive maintenance

04

Evaluate the next decision

Carbon-intensity prediction · Optimization · Scenario modelling

Better decisions.
Across every dimension.

Industrial performance and decarbonization
belong in the same conversation.

01

Operational efficiency

Understand and reduce avoidable energy consumption, with production requirements kept in view.

ENERGY / PERFORMANCE
02

Lower carbon intensity

Connect emissions to the unit of output, and identify operational pathways to reduce them.

CARBON / PRODUCTION
03

Better capital decisions

Prioritize interventions by operational impact, carbon reduction and financial return.

INVESTMENT / IMPACT
THE INTELLIGENCE LAYER FOR LOW-CARBON INDUSTRY.

Produce more intelligently.
Consume more efficiently.
Emit less.

Industrial intelligence.
An interconnected future.

Arvane Systems focuses on intelligence infrastructure for industrial operations—where production, energy, equipment performance, cost and carbon can be understood and optimized as one interconnected system.

INDUSTRIAL AIENERGYOPERATIONSDECARBONIZATION
START WITH YOUR OPERATING REALITY

Understand where industrial
performance and carbon intersect.

Talk with Arvane about applying industrial intelligence
to your facilities, assets and operational data.

ARVANE SYSTEMS