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Industrial IoT

SmartFactory IoT Solution

Industrial IoT system for predictive maintenance, real-time monitoring, and production optimization.

Client
Manufacturing Corp
Duration
6 months
Team Size
10 professionals
Year
2024

Project Impact

200+
Sensors
40%
Downtime Reduction
30%
Cost Savings
<5min
Alert Response

Project Overview

Manufacturing Corp operates a large production facility and wanted to implement Industry 4.0 practices with IoT sensors for predictive maintenance and production optimization.

Challenge

Deploying 200+ sensors across the factory floor, collecting real-time data, analyzing it for predictive insights, and providing actionable alerts to prevent downtime.

Solution

Built IoT platform using Python for data processing, MQTT for device communication, InfluxDB for time-series data, and Azure IoT for cloud infrastructure. Implemented ML models for predictive maintenance.

Results

40% downtime reduction
30% cost savings
Real-time alerts

Key Features

Real-time sensor monitoring
Predictive maintenance alerts
Production analytics
Energy consumption tracking
Equipment status dashboard
Downtime analysis
Quality control metrics
Mobile app for alerts
Custom reporting
Integration with ERP

Technology Stack

IoTPythonMQTTInfluxDBAzure IoTMachine LearningGrafanaNode-RED

Product Screens

Sensor Dashboard

Real-time monitoring of all sensors

Predictive Analytics

ML-powered maintenance predictions

Production Metrics

OEE and production efficiency tracking

Alert System

Instant notifications for anomalies

"

The IoT solution has given us unprecedented visibility into our operations. Predictive maintenance has saved us millions in prevented downtime and equipment failure.

SR
Sanjay Rao
Operations Manager, Manufacturing Corp

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