COGZ: Industrial CMMS Telemetry & Predictive Maintenance
Industrial IoT predictive maintenance pipeline monitoring vibration, thermal, and electrical telemetry across manufacturing plants.
The Challenge
Unscheduled factory equipment breakdowns caused millions in lost production downtime. Existing preventative maintenance schedules were calendar-based rather than condition-based.
The Solution & Architecture
WDL connected PLC and vibration sensors to an edge-gateway streaming pipeline that feeds anomaly detection models in PostgreSQL/TimescaleDB, generating automatic work orders in the COGZ CMMS.
Project Metadata
Key Technical Capabilities Delivered
Architectural components engineered specifically to resolve the client's scaling hurdles.
Real-Time Edge Ingestion
Industrial OPC-UA and Modbus protocols converted to encrypted JSON streams dispatched to cloud lakehouse storage.
Condition-Based Auto Work Orders
When vibration harmonics exceed safety thresholds, automated maintenance tickets are dispatched to technician smartphones.
Plant Executive Dashboard
High-level Overall Equipment Effectiveness (OEE) and mean-time-between-failures (MTBF) tracking across global factories.
Technologies Used
Build Fast, Scale Reliably
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Validate Data Strategy
Technical audit and architecture blueprint to validate pipeline viability.
Build Data MVP / Foundation
Production-ready automated pipeline and live analytics lakehouse delivered in just 20 days.