Industrial IoT
Connected factories with predictive intelligence.
Engineered for Enterprise Reliability & Scale
IIoT platforms that connect machines, PLCs and sensors on the shop floor to deliver real-time OEE, predictive maintenance and energy insights.
Industry 4.0 transformation starts with real-time shop floor visibility. FrontCrew Technologies architects Industrial IoT (IIoT) platforms that extract telemetry directly from CNC machines, hydraulic presses, compressors, and packaging lines. We calculate Overall Equipment Effectiveness (OEE), detect micro-stoppages, monitor power factor and harmonic distortion, and run machine learning algorithms to predict mechanical failures days before catastrophic downtime occurs.
Key Technical Pillars & Solutions
Deep architectural capabilities designed for high-concurrency enterprise workloads.
PLC, SCADA & OPC-UA Interoperability
Non-invasive data extraction from Siemens, Allen-Bradley, Mitsubishi, Omron, and Schneider PLCs using industrial IoT edge computers.
Automated OEE Calculation & Root Cause Analysis
Real-time tracking of Availability, Performance, and Quality metrics with digital operator downtime categorization.
Predictive Maintenance & Vibration Telemetry
Continuous FFT vibration analysis and bearing temperature monitoring to flag mechanical anomalies before equipment seizures.
Energy & Compressed Air Telemetry
Shop-floor energy sub-metering, specific energy consumption (SEC) benchmarking, and compressed air leak detection.
Technical Specifications & Standards
Industrial Protocols
OPC-UA, Modbus TCP/RTU, Profinet, MQTT Sparkplug B
Edge Hardware
Advantech, Siemens IOT2050, Raspberry Pi CM4 Industrial
Analytics Engines
Python Scikit-Learn, PyTorch, Grafana Enterprise
Data Latency
<100ms shop floor to cloud dashboard
4-Stage Implementation Roadmap
From initial discovery to continuous 24/7 SLA operations.
Shop Floor Machine Audit
Identifying machine makes, PLC communication ports, electrical drawings, and key telemetry points.
Edge Gateway Installation
Non-intrusive mounting of industrial edge gateways and sensor tapping without machine downtime.
OEE Engine & Dashboard Config
Configuring shift calendars, ideal cycle times, part SKU matrices, and real-time plant displays.
Predictive Model Training
Establishing normal operating vibration and thermal baselines to trigger early warning anomaly alerts.
Where Industry Leaders Put This To Work
Deployment Scenario 1
Discrete & process manufacturing
Deployment Scenario 2
Utilities and energy
Deployment Scenario 3
Smart infrastructure
Frequently Asked Questions
Everything you need to know about our Industrial IoT.
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