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Energy Monitoring

Know where your electricity goes

Connect the power meters you already have over RS485 / Modbus to the AIoT Gateway, and see the consumption of each panel and line on one dashboard, with alerts when a value crosses its limit.

Supplier illustration of energy data collection across factories

Common problems

  • The electricity bill is high, but nobody knows which machine or line drives it
  • Peak demand is exceeded without anyone noticing, until the monthly bill arrives
  • Meters are still read by hand — data is late, incomplete and hard to compare

What we measure

Values read from your equipment

Read through the gateway, shown on the dashboard, with history charts.

  • Energy (kWh)
  • Power (kW)
  • Voltage (V)
  • Current (A)
  • Power factor (PF)
  • Demand

Calculated indicators

Coming soon

These indicators are in development and will be enabled step by step. You can preview them in the demo.

  • Electricity cost at TOU rates
  • Daily / monthly peak demand
  • Estimated CO₂ emissions
  • Energy share by area or production line

Data path

From shop-floor equipment to dashboards and alerts.

Data moves from field equipment through a gateway and cloud to dashboards

Scroll to explore the connection path →

  1. Power meter

    Meters in the MDB or sub-panels

  2. RS485 / Modbus

    Modbus RTU or Modbus TCP

  3. AIoT Gateway

    Reads values; buffers when the connection drops

  4. 4G

    Dual SIM or site LAN, encrypted with TLS

  5. AIoT TH Cloud

    Time-series storage, isolated per organization

  6. Dashboard / Alerts

    On the web; alerts via LINE and email

What you get today

Available as soon as the gateway is installed.

  • Dashboards

    Latest values and charts for every data point, on desktop and mobile.

  • History

    Detailed data for 30 days on every package; longer history is kept as summarised data, by package.

  • Threshold alerts

    Set a high / low limit per data point. When a value goes out of range, you are alerted via LINE and email.

  • Offline alerts

    Get alerted when a gateway or device stops sending data — no need to wait for someone to notice.

AI Insights

Coming soon

AI capabilities are on our roadmap. They are not available yet.

  • Anomaly detection based on each data point's usual pattern
  • An AI-written daily summary report
  • An AI assistant that answers questions from your data, citing the actual readings

Example: flag a machine that uses more energy than its own usual pattern.

FACTORY APPLICATIONS

From a site problem to a practical system

Illustrative system designs with equipment, data, responsible teams and project conditions. These are not customer case studies.

DIGITAL TWIN · SIMULATED

Simulated digital twin: site, equipment and events in one view

This simulated digital twin is a model running in your browser. It does not mirror a PLC or customer site and does not control equipment.

Simulated data · No equipment connected
Factory monitoring · 3D DIGITAL TWINDrag to orbit · Scroll or pinch to zoom
Loading 3D map…

Live (simulated) · 08:00:00

Illustrative 3D layout, not surveyed coordinates. Scene labels show values from the simulated twin. Select equipment on the scene or in the twin tree.

Total power62.0 kW
M-02 temperature46.0 °C
M-02 vibration2.10 mm/s

WHAT-IF · SIMULATED

Current plan vs alternative · next 30 simulated minutes

Current plan

M-01 running

Energy over 30 min
31.1 kWh
Peak power
64.7 kW

Alternative

M-01 stopped

Energy over 30 min
17.4 kWh
Peak power
36.2 kW
Total power (kW)

Computed from the browser simulation to compare choices; not a prediction for a real site.

Inspection and command history

Select a scene device, then inspect or control it

Data path

PLC / Meter → Modbus TCP / RS485 → Gateway → MQTT TLS :8883 → Monitor

CCTV uses IP over PoE / NVR independently of LoRaWAN. This scene is illustrative and has no live video.

Operator view

Connect power readings and machine states to site locations for maintenance inspection.

ILLUSTRATIVE SYSTEMUnderstand where and when the factory uses energy
Supplier illustration of energy data collection across factories

Example system: main switchboard, production line and compressed air

Move from a monthly total to area-level meter readings that engineering teams can use to investigate loads and plan improvements.

Suppose a factory wants to monitor three metering points. Start with readings and history for each point. Cost calculations or energy per unit require additional data and agreed formulas; they are not automatically included.

Problems and practical approaches

The monthly bill does not identify high-load areas

Teams investigate several cabinets and may act on the wrong source

Approach · Define main and submeter boundaries, collect readings by point and compare periods with similar production conditions

Manual readings are recorded at different times in separate files

Differences may reflect timing rather than actual load changes

Approach · Read supported meters through a gateway, standardize names, units and timestamps, and compare values with the meter display

An unusual load is discovered only after the shift

The team lacks event-time data to prioritize equipment checks

Approach · Agree site-specific thresholds, enable scoped notifications and assign a person to investigate the equipment

Equipment and components

  • Three compatible meters: main, production line and compressor
  • An industrial gateway with matching interfaces, power and connectivity
  • Cloud points organized by site, area and asset
  • Dashboards, history and notifications within package scope

Data to monitor

  • Power in kW and cumulative energy in kWh
  • Voltage, current and power factor where exposed by the meter
  • Last update time and connectivity status

Data journey

  1. Electricity meters
  2. RS485 / Ethernet
  3. Industrial gateway
  4. AIoT TH Cloud
  5. Dashboard / alerts

Workflow and responsibilities

  1. Define circuit boundaries

    Electrical engineer

    Select comparison points and identify main versus submeter boundaries to avoid double counting

  2. Configure acquisition

    Equipment owner

    Verify registers, units, CT ratios and polling intervals for the actual meter

  3. Validate source readings

    Installer and site team

    Compare the dashboard with the meter at matching times and record discrepancies

  4. Monitor load patterns

    Energy engineer

    Read current values and history alongside operating schedules, not totals alone

  5. Investigate notifications

    Maintenance

    Check equipment and production conditions before deciding on an operational change

  6. Review changes

    Production manager

    Compare similar operating periods and record changes and remaining data gaps

How each factory team benefits

Energy engineering

Identify periods and areas that merit further load investigation

Maintenance

Use timestamped readings when checking notified equipment

Production

Review machine-start schedules and shift changes with supporting data

Management and cost planning

Support improvement proposals with measurements; cost formulas still require separate validation

Who this is suitable for

  • Factories with multiple circuits or buildings that need separate energy readings
  • Engineering teams with readable meters and an owner for source validation
  • Projects starting with critical points before a wider rollout

Acceptance checks

  • Dashboard values match meter units and scaling
  • Stale or missing data and timestamp meaning can be identified
  • Owners can find a known event and test notifications within scope
Discuss your site

DETAILS & PLANNING

Make energy readings comparable

Choose circuits and verify engineering units

Separate main meters, submeters and monitored circuits to avoid double counting. kW describes power, while kWh describes accumulated energy. Check register scaling and the meter’s CT/PT configuration before displaying values or deriving comparisons.

  • Compare units and decimals with the meter display
  • Identify per-phase versus three-phase totals
  • Record meter replacements and scale changes

Define comparable periods and data coverage

Compare matching time periods and check for missing readings. Cost estimates need a confirmed tariff structure. Energy per unit needs production counts for the same period. A load chart alone does not establish actual billing cost or production efficiency.

  • Use consistent site time and check device clocks
  • Identify gaps, resets and meter replacements
  • Agree calculation rules and analytics scope before use

Review each system’s scope before opening it or using the example to plan your project.

Questions about this topic

Can existing electricity meters be connected?

Check for RS485/Modbus RTU or Ethernet/Modbus TCP and a matching register map. A meter without a supported interface may need an additional measurement device.

Does the dashboard replace the utility bill?

Not automatically. Actual charges depend on tariffs, time periods, demand charges and other terms. Validate the calculation and supporting data before using an estimate.

See an example, or talk to our team

The demo uses simulated data from a sample plant. Our team can assess your actual equipment and site.