Transportation & Logistics: IoT Monitoring of Material Handling Equipment

· 7 min read
7 min read
Sophie Durand
Sophie Durand
Technical Content Writer

A broken-down forklift on a loading dock brings the entire production line to a standstill. A conveyor belt that stops in the middle of the night isn’t discovered until morning. IoT monitoring of logistics equipment is changing this reality—by detecting anomalies before a complete shutdown occurs.

The Challenge of Logistics Oversight​

Warehouses and logistics hubs contain a high concentration of critical equipment:

  • Conveyors: belt, roller, and overhead
  • Forklifts: internal combustion and electric (30 to 200 per site)
  • Dock doors (automated) and dock levelers
  • Sorting systems (sorters, diverters)
  • Refrigeration units for food logistics
  • Air compressors for pneumatic tools

This equipment operates on a 2×8-hour or 3×8-hour shift schedule, 6 days a week. Every hour of unplanned downtime can cost tens of thousands of euros in delivery delays and overtime.

And yet, most of this equipment does not send any data to a central monitoring system.

IoT Architecture for Logistics Warehouses​

Typical Topology​

Priority Equipment to Monitor​

EquipmentUseful DataMonitoring Value
ConveyorsMotor status, speed, amperage, package counterJam detection, predictive maintenance
Loading dock doorsOpening cycles, safety sensor statusPreventive maintenance, compliance
CompressorsSystem pressure, temperature, operating hoursPredictive maintenance, leaks
Refrigeration unitsTemperature, defrost, power consumptionRegulatory compliance, failure alerts
Battery chargersCharge status, cycles, temperatureRecharge scheduling, battery lifespan

Modbus Data Collection: What the Devices Report​

Belt Conveyor with Variable-Speed Drive​

Modern conveyors are equipped with variable-frequency drives that can be accessed via Modbus:

# Collection Profile — Zone A Outbound Conveyor
modbus:
  slave_id: 5
  baud_rate: 19200
  
  registers:
    - address: 8601    # Status: 0=off, 1=on, 2=fault, 3=maintenance
      name: etat_convoyeur
      
    - address: 8602    # Belt speed (m/min × 10)
      name: vitesse_bande
      scale: 0.1
      
    - address: 16421   # Motor current (A × 10)
      name: courant_moteur
      scale: 0.1
      unit: A
      
    - address: 16420   # Last error code
      name: code_defaut
      
    - address: 0x0C16  # Operating Hours Counter
      name: heures_fonctionnement
      
  polling: 5s
  
  alerts:
    - condition: "etat_convoyeur == 2"   # Defect
      severity: critical
      message: "DÉFAUT Convoyeur Zone A — Code: {code_defaut}"
      channels: [sms, email]
      
    - condition: "courant_moteur > nominal_1h * 1.2"
      severity: warning
      message: "Surcharge détectée — Convoyeur Zone A ({courant_moteur}A)"
      delay: 5min

Dock Doors and Loading Docks​

Loading dock doors transmit their data via RS-485 interfaces or dry contacts:

Typical Digital (Digital I/O) Inputs — Loading Dock Door:
  DI1: Door open (limit switch)
  DI2: Door closed (limit switch)
  DI3: Obstruction detected (safety gate)
  DI4: Lift control active
  DI5: Motor fault

Compteur de cycles :
  Each opening + closing = 1 cycle
  Standard replacement threshold: 500,000 cycles
  → Maintenance alert at 450,000 cycles (before failure)

Use Case: Food Logistics and the Cold Chain​

HACCP Regulatory Compliance​

HACCP regulations require continuous temperature monitoring throughout the cold chain:

HACCP Requirements for Temperature Logging:
  - Take a measurement at least every 30 minutes
  - Alert < 30 minutes if threshold exceeded
  - Data retention: at least 2 years
  - Exportable, time-stamped audit trail

Eziwan meets these requirements through Modbus data collection from chiller plants and long-term cloud-based data archiving. Temperature data can be exported in CSV format for your sanitation audits.

Cold Weather Outage Alert: Every Minute Counts​

Real-life scenario — Food processing warehouse:

23:45  Cold room temperature -18°C → Normal
00:12  Temperature -15°C → Drift
00:28  Temperature -10°C → WARNING alert triggered
       → SMS : "Chambre froide C3 — T°: -10°C (consigne: -18°C)"
00:31  On-call technician receives the alert
00:47  Remote Diagnostics (Eziwan VPN → Cooling Plant)
00:52  Compressor restarted manually via remote control
01:15  Temperature Back Down to -16°C — Back to Normal

UNSUPERVISED: discovered at 6 a.m. — 3 hours of thermal drift
WITH Eziwan: 20-minute procedure — stock preserved

Forklift Fleet Tracking​

Monitoring Battery Chargers​

With a fleet of 50 electric forklifts, battery management is a major challenge:

Data collected via chargers (Modbus):

  • State of Charge (SOC) in %
  • Battery temperature
  • Charge current
  • Number of charge cycles
  • Remaining charge time

⚠️ Alert: CH-15 battery < 20% during operation → SMS sent to the fleet manager.

Operating Hours and Maintenance Schedule​

By tracking the operating hours of your forklifts, you can schedule regulatory inspections (IPRP, VGP) without having to search through maintenance logs:

Scheduled Maintenance Alert:
  CH-07: 1,890 hours (scheduled for maintenance at 1,900 hours)
  → Reminder 10 days before the deadline
  → Work order created automatically in the CMMS

See the logistics monitoring solution → · Download the connected warehouse guide →

ROI of Logistics Oversight: The Numbers​

For a logistics hub handling 10,000 packages per day:

Averted incidentFrequencyUnit costAnnual savings
Conveyor jam (2 hours)12×/year → 3×/year€8,000€72,000
Nighttime refrigeration unit failure4×/year → 0×/year€15,000€60,000
Unnecessary maintenance calls48×/year → 20×/year€250€7,000
HACCP non-compliance2×/year → 0×/year5,000 €10,000 €
Total annual savings~149,000 €

Deployment investment (3 gateways, installation, training): ~8,000 €. Return on investment: 2 months.

Conclusion​

IoT monitoring of logistics equipment is one of the projects with the fastest ROI in industrial IoT. The data is accessible (Modbus on drives and PLCs), breakdowns are costly and predictable, and on-site alerts enable a response within minutes rather than the next morning.

Start with the most critical equipment—main conveyors, refrigeration units, compressors—and gradually roll out the system across the entire site.

FAQ​

Can you track a forklift’s location in real time with Eziwan? Real-time GPS tracking of mobile vehicles requires a dedicated GPS tracker (not included as standard with Eziwan). However, monitoring fixed equipment—such as conveyors, compressors, dock doors, and cold storage thermostats—is the primary use case. For geolocation of vehicle fleets, specialized solutions (Quartix, Masternaut, Coyote) are more suitable.

Does the system work in a cold storage facility (temperature < 0°C)? The Eziwan industrial gateway is certified to operate from -20°C to +70°C, which covers standard positive and negative cold storage rooms. For deep-freeze environments (< -30°C), check the specifications for the specific model and consider a heated enclosure for very cold regions.

How is the warehouse operator alerted in the event of an anomaly at night? The Eziwan platform sends alerts via text message and email based on configurable thresholds. A compressor alarm at 2 a.m. triggers an immediate text message to the on-call technician. Alerts can be escalated (text message to supervisor if not acknowledged within 15 minutes) and integrated into CMMS systems via webhook.

Further Reading​

Start a warehouse monitoring project → · View IoT gateways for logistics →

Additional Resources​