Construction & Agricultural Equipment

Digital Monitoring of
Welding Machine Operations

Industry: Construction & Agricultural Equipment Solution: M-Connect Industrial IoT Platform
Overview

Our client is a globally recognized manufacturer specializing in construction and agricultural equipment. The organization operates advanced manufacturing facilities and maintains stringent production quality standards to support both domestic and international markets.

As part of the AV Group, which has more than six decades of industrial legacy, they focus on precision manufacturing, operational excellence, and continuous digital transformation. Within the fabrication shop floor, manual and robotic welding processes play a critical role in ensuring structural strength, dimensional accuracy, and production throughput. However, welding operations faced several operational challenges due to the absence of structured digital monitoring.

The Objective

What We Set Out to Achieve

Real-time monitoring of welding machine operational status — specifically arc running and idle conditions

Industrial IoT gateways connected to welding machines for automatic arc-state detection

Centralized dashboards enabling supervisors to monitor machine states across the shop floor

WELDING SHOP FLOOR — MANUAL MONITORING LIMITATIONS ? WELDER 1 ? WELDER 2 ? WELDER 3 Manual logs · Delayed insights · Estimated utilization

BEFORE M-CONNECT: WELDING MACHINE ARC-TIME AND UTILIZATION WERE ESTIMATED MANUALLY, NOT MEASURED

The Challenges

Pain Points Before Implementation

Welding operations faced several operational challenges due to the absence of structured digital monitoring.

Limited Real-Time Machine Visibility

Welding machine operations were largely tracked through manual logs and operator inputs, resulting in limited real-time visibility into machine operating conditions.

Inaccurate Machine Utilization Tracking

The absence of automated monitoring made it difficult to accurately measure actual arc running time and idle time across shifts.

Delayed Operational Insights

Production data collected through manual records often resulted in delayed and inconsistent information, making operational analysis and decision-making difficult.

Without Digital Monitoring
No arc-on time measurement
Utilisation estimated, not measured
Manual logs — inconsistent & delayed
No shift-level visibility
Strategy & Solution

How M-Connect Solved It

To address these challenges, Maestro Technology Services Pvt. Ltd. deployed the M-Connect Industrial IoT platform across the welding shop-floor environment. The solution was designed to enable real-time monitoring of welding machine operational status, specifically focusing on arc running and idle conditions. The solution was implemented with minimal disruption to production and integrated seamlessly into the existing shop-floor infrastructure.

Industrial IoT Gateways

Welding machines connected via industrial-grade IoT gateways — no machine modification required.

Arc-State Detection

Automatic detection of arc-on and arc-off events, providing accurate machine activity data.

Centralized Dashboard

Live operational status visible to supervisors and production teams across the facility.

ARC-STATE DETECTION SYSTEM ARCHITECTURE Welding Machine Current Sensor M-CONNECT IoT Gateway & Platform ARC ON IDLE Dashboard Live View Shift Reports Arc Signal → Detection → Processing → Visualization → Report

M-CONNECT AUTOMATICALLY DETECTS ARC-ON AND ARC-OFF EVENTS — SHIFT BY SHIFT, MACHINE BY MACHINE

How It Works

The M-Connect Technology Stack

Machine signals captured, processed, and presented as actionable shop-floor intelligence.

01 Machine Connection

Industrial IoT Gateway Integration

M-Connect industrial IoT gateways were installed at each welding machine to capture electrical signals corresponding to machine operating states. This enabled automatic, continuous detection of arc-on and arc-off events without requiring manual operator input or machine modification.

02 Real-Time Monitoring

Live Machine Activity Capture

Machine activity was monitored in real time, distinguishing between arc-running (productive) and idle states for each welding machine across every shift. This provided operational teams with an accurate picture of actual machine utilization vs. available production time — shift by shift, machine by machine.

03 Dashboard Visibility

Centralized Operational Dashboard

All machine-level data was aggregated into a centralized M-Connect dashboard accessible to supervisors and operational teams. The dashboard provided visibility into machine states across the welding shop floor, enabling supervisors to identify underperforming machines, excessive idle periods, and operational irregularities without physically walking the floor. Reports were available in shift-wise and daily formats, supporting structured operational review and continuous improvement.

Results and Outcomes

What the Deployment Delivered

Real-Time
Machine Visibility
Live arc-on and idle states visible across every welding machine on the shop floor.
Arc-On
Time Tracked
Accurate arc running time captured automatically — eliminating manual estimation.
Automated
Utilization Reporting
Shift-wise and daily machine utilization reports generated automatically.
Digital
Shop-Floor Insights
Centralized dashboard provides structured insight for supervisors without floor walks.
  • Real-time visibility into welding machine arc-on and idle states
  • Automated utilization tracking — eliminating manual estimation
  • Shift-wise and daily reporting for operational review
  • Centralized dashboards accessible to supervisors without floor walks
  • A structured foundation for continuous welding productivity improvement
Conclusion

From Manual Observation to Digital Intelligence

The deployment of M-Connect across the welding shop floor replaced manual, inconsistent tracking with structured, automated machine monitoring — providing operational teams with the data needed to drive measurable improvements in welding machine utilization and shop-floor productivity.

"From manual observation to digital shop-floor intelligence — welding machine operations are now monitored in real time, shift by shift, machine by machine."

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