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IoT Solution

Smart City Power Grid

Client: Metro City Utilities
Timeline: 8 months
Year: 2025

The Challenge

Metro City Utilities was facing critical inefficiencies in their aging power distribution infrastructure. With over 500,000 residential and commercial customers, they had no real-time visibility into grid performance, leading to prolonged outages and reactive maintenance strategies.

The existing SCADA system was 15 years old, lacked modern connectivity, and couldn't integrate with renewable energy sources being added to the grid. Power outages took an average of 4 hours to diagnose and resolve, costing the city millions in lost productivity.

The utility needed a modern IoT-based monitoring system that could provide real-time data, predictive maintenance alerts, and seamless integration with their existing infrastructure—all while maintaining strict security and reliability standards for critical infrastructure.

Our Solution

ThingsAccess designed and implemented a comprehensive IoT monitoring platform that transformed Metro City's grid into a smart, responsive system.

Implementation Approach

  • Sensor Network Deployment: Installed 2,500+ IoT sensors across substations, transformers, and distribution points
  • Edge Computing: Deployed edge gateways for real-time data processing and immediate fault detection
  • Cloud Integration: Built scalable cloud infrastructure for historical analysis and predictive modeling
  • Dashboard & Analytics: Created intuitive control center dashboards with AI-powered anomaly detection
  • Mobile Alerts: Developed field technician mobile app for instant notification and diagnostics

Key Technologies Used:

MQTT protocol, AWS IoT Core, LoRaWAN, Node.js, React, PostgreSQL, TensorFlow for predictive analytics

Results & Impact

67%
Reduction in outage duration
$2.4M
Annual cost savings
94%
Predictive accuracy

Within 6 months of deployment, Metro City Utilities saw dramatic improvements across all key performance indicators. Average outage resolution time dropped from 4 hours to 1.3 hours, and the system successfully predicted 94% of equipment failures before they occurred.

The platform now processes over 50 million data points daily, enabling the utility to optimize load distribution, integrate renewable energy sources more effectively, and provide customers with unprecedented transparency through a public outage map.

Technology Stack

AWS
AWS IoT
⚛️
React
🟢
Node.js
🐘
PostgreSQL
TF
TensorFlow
"
ThingsAccess didn't just deliver a monitoring system—they transformed how we operate. The predictive capabilities have fundamentally changed our maintenance strategy, and our customers have noticed the difference.
James Rodriguez
CTO, Metro City Utilities

Project Gallery

Dashboard Screenshot
Mobile App Interface
Sensor Installation
Control Center
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