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Logistics, Agriculture & Distributed SitesS96

Smart Greenhouse Monitoring

The problem

Greenhouse climate controllers regulate vents, screens and heating, but growers cannot see conditions remotely or compare houses, and alarms are missed at night.

Solution overview

MILESGO gateways collect data from greenhouse climate controllers (vents, screens, fans, heaters), temperature and humidity sensors, CO2 sensors, soil moisture and EC sensors, weather stations over Modbus RTU / LoRaWAN / Modbus TCP, and deliver it to a cloud platform (MQTT), WEB HMI panels, SMS, email and messaging alarms as MQTT / Modbus TCP. Field equipment keeps its own protocol and control logic; integration is done by configuration and point mapping, not custom code.

Typical scope

  • greenhouse climate controllers (vents, screens, fans, heaters)
  • temperature and humidity sensors
  • CO2 sensors
  • soil moisture and EC sensors
  • weather stations

Protocol path

Modbus RTU / LoRaWAN / Modbus TCP → MQTT / Modbus TCP

Implementation checklist for the project manager

  • Write the control sequence (start/stop order, interlocks, set-points, fallback on communication loss) and have it approved before programming.
  • Run a LoRaWAN coverage survey and pick the regional band (EU868 / US915 / AU915 / AS923 / KR920 / CN470) before ordering.
  • Check 4G signal and the SIM data plan at every site before committing to cellular backhaul.
  • Keep sensor calibration certificates on file and plan recalibration intervals.
  • Define an alarm matrix (priority, recipient, escalation) and test every alarm end to end at SAT.
  • Outdoor sites need a weatherproof, ventilated enclosure with surge protection; the gateways are panel-mount devices (working range -20 °C to +70 °C).

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

System architecture

Field layer: greenhouse climate controllers (vents, screens, fans, heaters), temperature and humidity sensors, CO2 sensors, soil moisture and EC sensors, weather stations, connected over Modbus RTU / LoRaWAN / 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: a cloud platform (MQTT), WEB HMI panels, SMS, email and messaging alarms, which receives the data as MQTT / Modbus TCP. Remote access for maintenance runs over VPN rather than open internet ports.

System composition

Field devices
greenhouse climate controllers (vents, screens, fans, heaters), temperature and humidity sensors, CO2 sensors, soil moisture and EC sensors, weather stations
Edge / integration
MILESGO protocol gateways and edge controllers
Upper systems
a cloud platform (MQTT), WEB HMI panels, SMS, email and messaging alarms (MQTT / Modbus TCP)
Tools and commissioning
Web-based configuration, point table import/export (Excel), off-site simulation and on-site diagnostic tools

Software and AI capabilities

  • Load and consumption forecastingRoadmap
  • Anomaly detection on trend dataRoadmap

Delivery steps

  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.

Customer value

  • Alarms reach the right person by SMS, email or messaging apps
  • Reliable trend data for optimisation and fault diagnosis
  • Unattended sites supervised without permanent staff
  • Data ready for cloud platforms and analytics

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