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AIoT TH

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.

Open the Energy demoDiscuss your project

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.

  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.

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.

Open the Energy demoDiscuss your project