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Tracking Welding Machine Utilization Using Industrial IoT

January 20, 2024
7 min read
M-Connect Insights

Welding Productivity Challenges

Welding is a critical operation in fabrication industries, yet productivity in welding shops is rarely measured accurately.

Common problems include:

  • Idle welding stations
  • Unmonitored arc time
  • Excessive shielding gas consumption
  • Uneven workload distribution
WELDING SHIFT BREAKDOWN — 8 HOURS 0h 1h 2h 3h 4h 5h 6h 7h 8h Arc-ON Idle Setup / Changeover Break 35% Arc-On Time Active welding 45% Idle Time Machine unused 12% Setup Changeover time
In most welding shops, only 30–40% of shift time involves active arc welding — the rest is untracked idle or setup time

Measuring Arc-On Time and Machine Utilization

A key metric for welding productivity is Arc-On Time.

Arc Efficiency = Arc-On Time / Total Shift Time

This metric indicates how much time the welding arc is actively producing welds.

Monitoring Shielding Gas Consumption

Shielding gases such as Argon, CO2, and Argon-CO2 mixtures represent a significant operational cost.

IoT-enabled gas monitoring systems measure:

  • Gas flow rate
  • Total gas consumption
  • Leakage detection
SHIELDING GAS MONITORING FLOW Ar CO2 Gas supply L/min Flow rate: L/min Welder machine Arc shield Joint produced IoT Gateway ⚠ Leakage alert Dashboard Gas used: 42 L Flow: 14 L/min Consumption OK
IoT-enabled gas monitoring captures flow rate and total consumption — detecting leakage and optimizing shielding gas usage per joint

Machine Signal Intelligence in Welding Operations

Signals used for monitoring include:

  • Arc start signals
  • Current flow signals
  • Machine power status
  • Production counters

These signals provide insight into actual welding activity.

M-CONNECT WELDING SIGNAL ARCHITECTURE Welding Machine Power source Arc-on detection Current sensor M-Connect Gateway Edge device M-Connect Platform Cloud analytics Dashboard Arc-ON: 38% Idle: 51% Gas: 42 L Live metrics
M-Connect captures arc-on/off events via current sensors — no welding machine modification required

M-Connect Welding Monitoring Architecture

M-Connect integrates welding machine signals with industrial sensors to generate real-time insights.

Capabilities include:

  • Welding machine utilization tracking
  • Arc-on time monitoring
  • Gas consumption analytics
  • Welding productivity dashboards

Welding Productivity Analytics

The platform provides reports including:

  • Welding efficiency metrics
  • Gas consumption per component
  • Welding station performance comparison

Strategic Insights for Fabrication Plants

Real-time welding analytics enable manufacturers to:

  • Optimize welding resource allocation
  • Reduce gas wastage
  • Improve welding productivity

Conclusion

Industrial IoT platforms such as M-Connect enable welding operations to be monitored with the same level of precision as CNC machining processes, leading to improved productivity and operational efficiency.

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