Wattnomics IoT — Enterprise Industrial IoT & Energy Management System
An enterprise-grade Industrial IoT & Energy Management System (EMS) empowering manufacturing units with real-time telemetry, interactive electrical grid mapping (SLD), power quality analytics, and automated threshold alerts.
Industrial facilities face critical operational hurdles: blind spots in power quality (Total Harmonic Distortion and low Power Factor causing utility fines and equipment damage), manual data collection delaying fault identification, complex physical grid navigation, and lack of automated alerting for voltage spikes or overheating.
Business Challenge & Strategic Solution
Industrial plants operated with blind spots in power quality, leading to utility fines for low power factor, manual meter reading delays, complex unmapped sub-station grid topology, and zero automated notifications during voltage spikes or machine overheating.
Inability to detect Total Harmonic Distortion (THD) and low Power Factor (PF), leading to utility fines and electrical equipment damage.
Reliance on manual meter reads resulted in delayed billing verification and delayed fault identification.
Difficulty in mapping physical power distribution from sub-stations down to individual machinery.
Voltage spikes, phase unbalances, and machine overheating went unnoticed until critical system failures occurred.
We architected a high-throughput time-series telemetry pipeline: meters publish over MQTT, Apache Kafka streams the readings to a FastAPI ingestion service, and TimescaleDB stores them for fast range queries. A Node.js and PostgreSQL API runs plants, users and alert rules, and the React frontend renders the electrical Single Line Diagram (SLD) with React Flow alongside 16-bin harmonic spectrum analytics.
Technology Stack by Layer
The 20 technologies Wattnomics IoT runs on, grouped by the layer of the system they power.
Frontend & UI 6 technologies
- React Component-based UI
- Vite Fast build tooling
- Redux Toolkit Predictable app state
- Tailwind CSS Utility-first styling
- Chart.js Dashboard charts
- React Flow Interactive grid diagrams
Backend & APIs 7 technologies
- FastAPI Async API framework
- Apache Kafka Event streaming
- MQTT Device telemetry (Mosquitto)
- Node.js Server runtime
- Express.js REST API framework
- Python Backend services
- node-cron Scheduled jobs
Data & storage 3 technologies
- TimescaleDB Time-series telemetry store
- PostgreSQL Relational database
- Sequelize PostgreSQL data modeling
Cloud & infrastructure 3 technologies
- AWS S3 File & media storage
- Docker Containerized deploys
- Firebase Cloud Messaging Push notifications
Integrations & libraries 1 technologies
- jsPDF PDF report generation
System Architecture & Engineered Modules
Real-Time Telemetry & Multi-Parameter Monitoring
System Interfaces & Digital Views
Business Impact & Key Outcomes
30% Reduction in Idle Energy Loss through live machine-level consumption tracking
Zero Utility PF Penalties via real-time low power factor alert thresholds
Sub-100ms Telemetry Stream Latency delivering live data directly to the dashboard
99.9% Uptime Detection for critical heavy machinery across industrial floors
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