InHand IG502 Enables Air Compressor Remote Monitoring & Predictive Maintenance for Auto Parts Plant

InHand IG502 Enables Air Compressor Remote Monitoring & Predictive Maintenance for Auto Parts Plant

1. Scenario Background

A  auto parts factory runs 12 air compressors (critical for production). Previously:
  • Weekly manual inspections missed early faults (e.g., abnormal pressure), causing 2–3 hours of unplanned downtime per failure.
  • Pressure/temperature data was scattered across individual compressors (no unified oversight).
  • Part replacements relied on guesswork (no predictive maintenance).

2. Product Selection

InHand IG502 Edge Computing Gateway — supports controller data collection, local data processing, 4G transmission, and industrial-environment durability.

3. Core Pain Points

  1. Manual inspections = late fault detection + unplanned downtime
  2. Dispersed operational data (no unified monitoring)
  3. No predictive maintenance (part replacements depend on experience)

4. Solutions with IG502

  • Connect IG502 to each compressor’s controller to collect pressure, temperature, runtime, and fault codes.
  • IG502 filters/processes data locally (cuts redundant uploads) and sends cleaned data to the Remote Management Platform/Device Manager via 4G.
  • The platform tracks equipment health, alerts for anomalies (e.g., high temperature), and manages maintenance tasks/asset lifecycles.

5. Implementation Results

  • Manual inspections reduced from 1/week to 1/month (saves 8 labor hours/week).
  • Fault detection advanced to 24hrs pre-occurrence (downtime cut by 75%).
  • Unified data dashboard simplifies monitoring; predictive part replacement lowers maintenance costs by 20%.