IoT + Big Data
CitySense Urban Intelligence
A municipal IoT platform collecting and analyzing data from 10,000+ city sensors.
Metro City Government
June 2024
12 months
Project Overview
This smart city solution aggregates real-time data from traffic sensors, air quality monitors, waste management systems, and energy grids. The platform provides predictive analytics for urban planning, automated alerts for infrastructure issues, and public dashboards. Machine learning models predict traffic patterns, optimize waste collection routes, and identify maintenance needs before failures occur.
Challenges
- Processing 50,000+ sensor events per second with <100ms latency
- Maintaining data accuracy during sensor calibration drift
- Securing field devices against physical tampering in public spaces
- Visualizing city-wide data without overloading municipal networks
Solutions
- Implemented edge computing nodes with Apache Kafka Streams for real-time processing
- Developed auto-calibration algorithms using neighboring sensor consensus
- Deployed hardware security modules (HSMs) with tamper-evident enclosures
- Built vector tile-based visualization engine with dynamic LOD rendering
Technologies Used
"CitySense gave us unprecedented visibility into urban operations and the tools to make data-driven decisions that improved quality of life."
Mayor Olivia Martinez
City of Metro
Project Details
Client
Metro City Government
Duration
12 months
Team Size
14 engineers/data specialists
Budget
$2.8 million
Completion
June 2024
Key Features
Real-time Sensor Monitoring
Predictive Maintenance
Traffic Optimization
Environmental Analytics
Public Dashboards
Incident Automation
Historical Trend Analysis
Achievements
20% reduction in traffic congestion
15% energy savings for city facilities
Faster emergency response times
75% citizen approval rating
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