MILESGO
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Logistics, Agriculture & Distributed SitesS94

Warehouse Energy Management

Problem

Lighting, dock doors, forklift charging and refrigeration drive the warehouse bill, but none of them is metered separately, so savings cannot be targeted.

Opis rozwiązania

MILESGO gateways collect data from electricity meters, lighting control panels, refrigeration case and rack controllers, run/stop and fault dry contacts, PV inverters over Modbus RTU / Modbus TCP, and deliver it to the energy management system, a cloud platform (MQTT), large-screen dashboards (HDMI) as MQTT / BACnet/IP. Field equipment keeps its own protocol and control logic; integration is done by configuration and point mapping, not custom code.

Typical scope

  • electricity meters
  • lighting control panels
  • refrigeration case and rack controllers
  • run/stop and fault dry contacts
  • PV inverters

Protocol path

Modbus RTU / Modbus TCP → MQTT / BACnet/IP

Implementation checklist for the project manager

  • Record CT ratios, meter IDs and multipliers in the point table; wrong multipliers are the usual cause of billing errors.
  • Agree KPI definitions (for example OEE components or kWh per unit) with operations before building dashboards.
  • For hard-wired signals, list each DI/DO/AI/AO with its type (dry contact, 4–20 mA, 0–10 V, PT1000) and choose I/O modules accordingly.
  • Fix a site / asset naming convention before the first site so data from all sites can be compared.
  • Write the control sequence (start/stop order, interlocks, set-points, fallback on communication loss) and have it approved before programming.
  • Roll out in phases: pilot one site or area, confirm data quality, then replicate.

Project deliverables

  • Signed point table and protocol mapping
  • Gateway configuration files and backups
  • IP address plan and network drawing
  • FAT and SAT test records
  • As-built documentation and operator training

Architektura systemu

Field layer: electricity meters, lighting control panels, refrigeration case and rack controllers, run/stop and fault dry contacts, PV inverters, connected over Modbus RTU / Modbus TCP. Edge and integration layer: MILESGO protocol gateways and edge controllers, mounted on DIN rail in existing panels, polling each device, time-stamping values and buffering them locally. Upper layer: the energy management system, a cloud platform (MQTT), large-screen dashboards (HDMI), which receives the data as MQTT / BACnet/IP. Remote access for maintenance runs over VPN rather than open internet ports.

Skład systemu

Field devices
electricity meters, lighting control panels, refrigeration case and rack controllers, run/stop and fault dry contacts, PV inverters
Edge / integration
MILESGO protocol gateways and edge controllers
Upper systems
the energy management system, a cloud platform (MQTT), large-screen dashboards (HDMI) (MQTT / BACnet/IP)
Tools and commissioning
Web-based configuration, point table import/export (Excel), off-site simulation and on-site diagnostic tools

Możliwości oprogramowania i AI

  • Consumption baseline and deviation alertsPilotaż
  • Load and consumption forecastingW planach

Etapy wdrożenia

  1. 1

    Site survey and point list

    Inventory devices, protocols, register maps, panel space, power and network paths.

  2. 2

    Design and point table sign-off

    Map every point to the target protocol and system; agree it with the client and the upper-system contractor.

  3. 3

    Configuration and FAT

    Build the gateway configuration off site, simulate it and test against the signed point table.

  4. 4

    Installation and wiring

    Mount gateways on DIN rail, wire RS-485 / I/O / Ethernet, apply the IP plan.

  5. 5

    SAT and alarm tests

    Verify values against local readings, test every alarm and command end to end.

  6. 6

    Handover and support

    Hand over configuration backups, point table and as-built documents; train operators.

Korzyści dla klienta

  • Consumption visible by area, system and time period
  • Consumption attributable by tenant, department or cost centre
  • Reliable trend data for optimisation and fault diagnosis
  • Data ready for cloud platforms and analytics

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