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FactoryIQ Industrial IoT Dashboard

Predictive Maintenance & Assembly Line Telemetry Engine

FactoryIQ Industrial IoT Dashboard
Client
FactoryIQ Automation GmbH
Location & Year
🇩🇪 Germany (2026)
Duration
5 Months
Core Tech Stack
ReactNode.jsPythonPostgreSQLDockerAWS IoTTailwind CSS

The Vision & Objective

FactoryIQ connects thousands of assembly line sensors across automotive plants to monitor vibration, heat, and power consumption in real time.

The Business Challenge

Unplanned robotic arm failures caused up to $50,000 per hour in idle production line downtime. Plant managers needed early warning alerts.

The Innovative Solution

Lofingo designed an industrial telemetry dashboard with predictive AI anomaly detection, interactive 3D factory floor heatmaps, and automated maintenance ticketing.

Core Feature Highlights

Predictive Failure Alerts

AI models alert engineers up to 48 hours before component degradation.

3D Plant Floor Heatmap

Visual overview of active machine statuses and energy efficiency metrics.

Maintenance Work Orders

Automatically dispatches repair tickets to technician mobile devices.

PLC Sensor Integration

Direct MQTT and Modbus protocol stream processing.

Visual Screenshot Gallery

FactoryIQ Industrial IoT Dashboard screenshot 1
FactoryIQ Industrial IoT Dashboard screenshot 2
FactoryIQ Industrial IoT Dashboard screenshot 3

Engineering & Design Process

01

Industrial Protocol Mapping

Architecting MQTT broker telemetry ingestion pipelines.

02

Predictive Model Training

Training time-series neural networks on historical failure datasets.

03

Control Room UI System

Designing high-contrast dark/light UI for multi-monitor plant control rooms.

04

On-Site Calibration

Validating sensor latency and alert accuracy across 12 assembly lines.

PROVEN IMPACT

Quantifiable Business Results

-68%
Unplanned Plant Downtime
$3.2M
Annual Equipment Cost Savings
50,000+
Sensors Monitored Live
<50ms
Telemetry Processing Delay

FactoryIQ has given us complete visibility over our production lines. Lofingo's technical depth in IoT and AI engineering exceeded all our expectations.

Dr. Heinrich Schmidt
Head of Industrial Engineering, FactoryIQ Stuttgart
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