Energy Monitoring


Process-aware specific energy optimization

Problem


Legacy EMS solutions focus mainly on tracking the consumption (the effect) but ignore the underlying process dynamics (the cause) that influence the energy efficiency of a production line. In addition, these solutions lack the analytics capabilities necessary for providing advanced energy insights to help drive higher efficiencies.

Solution



4PointX EMS is a process-aware energy analytics solution that leverages Machine Learning to benchmark the consumption for various production scenarios and uses this knowledge to alert when deviations occur. For e.g., the solution tracks wastage due to equipment idling, tells how consumption varies by product, and gives insights on what process parameters are impacting efficiency the most.

Track consumption patterns

4PointX energy monitoring dashboard visualizing real-time plant energy consumption patterns with daily, weekly, and monthly trends of power, current, and voltage, enabling shift-wise consumption tracking.

Monitor real-time energy consumption by overall Plant and drill down to function and meter. View historical trends of energy, power, current and voltage.

  • Shift-wise consumption
  • Track by hour, day, week and month

Track specific energy

Dashboard showing a graph of production versus specific energy (kWh/ton) with daily data comparison, helping monitor energy consumption against production output.

Monitor consumption vis-a-vis production. The app auto computes specific energy (kWh/ton) by merging energy data with daily production output.

  • Is consumption aligned with production?
  • Requires production data (tonnage/qty)

Track idle energy (wastage)

Dashboard showing idle energy tracking with metrics for idle energy, total energy, and percentage wastage, highlighting energy loss due to equipment idling.

Quantify energy wastage due to equipment idling between production stops. A built-in algorithm with configurable options for detecting idleness.

  • Enhances stability and life of equipments
  • Reduces COâ‚‚ emissions

Product variation & benchmarking

Energy analytics dashboard for product variation and benchmarking, displaying specific energy (kWh/ton) and productivity trends for manufacturing optimization.

Slice and dice specific energy for various product specs. The app auto computes product-level benchmarks based on past consumption patterns.

  • Automatically models consumption pattern
  • Better planning to match demand

Alerts & Reports

Alerts and reports dashboard displaying total alerts, severity breakdown, and alert trends over time for monitoring power parameters.

Configure alerts on various power parameters. Generate reports, export raw data, or use APIs to integrate energy data with other applications.

  • Create custom reports and alerts
  • Threshold-based or aggregation alerts

Easy to deploy and scale

System architecture diagram showing integration of 4PointX IoT Gateway with smart meters, MES, PLC, and SCADA for collecting and centralizing energy and production data.

Integrates with smart meters and MES for collecting Energy and Production data. Can scale to multiple plants and sites for a centralised deployment.

  • On-prem server or Cloud deployment
  • Ethernet, WiFi, SIM-based or LoRa

Pricing Tiers


4PointX Energy Monitoring


Bronze

Energy monitoring

  • Real-time consumption at Plant, Line and Panel level
  • Power, current and voltage monitoring
  • Historical trends & drill-downs

Alerts

  • Threshold-based alerts on current, voltage and power

Reports

  • Daily & monthly reports
  • Custom dashboards
  • Raw data export

Silver

Everything in Bronze, plus

Specific energy

  • kWh/ton
  • Production vs. consumption trends

Idle energy

  • MWh consumed by idling equipment
  • Idle energy as a % of total energy for each Line and overall Plant

Gold

Everything in Silver, plus

Product variation & benchmarking

  • Specific energy consumption for various product specs — grade, thickness etc
  • Benchmarking (against optimal past consumption)

Advanced alerts

  • Aggregation alerts. E.g., thresholds set on average voltage, daily consumption etc.

Other features

  • APIs for 3rd party integration

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