Bridge Data Analytics

Bridge Data Analytics is a cloud-based monitoring system designed to analyze and visualize real-time bridge sensor data for structural health assessment. It focuses on deploying scalable, low-maintenance solutions using Platform-as-a-Service (PaaS) offerings for enhanced performance and reliability.

• Data from bridge sensors is collected via IoT-enabled devices.
• Telegraf is used for real-time data ingestion and transformation.
• InfluxDB stores time-series data efficiently for analysis.
• Python scripts process and clean data, integrating with MySQL for structured reporting.
• Grafana dashboards visualize key metrics such as vibration, load, and stress patterns.

• Managing large volumes of time-series data - Utilized InfluxDB’s optimized data compression and retention policies
• Ensuring system scalability and reliability - Deployed virtual machines with dynamic resource allocation for scalable performance
• Real-time visualization of streaming data - Integrated Telegraf with Grafana for instantaneous metric updates

• Integrate AI-driven predictive maintenance models.
• Expand monitoring to multiple bridges via a unified cloud dashboard.
• Incorporate edge computing for faster local data processing.