Revolutionizing Real-Time Vehicle Data Processing with Workbench Sensoris

About The Customer:

Our customer is a leading automotive company with global operations focused on enhancing vehicle data management and operational efficiency.

Business Challenges:

• Lack of Real-Time Insights: The customer faced difficulties in monitoring vehicle data streams, leading to inefficiencies in decision-making and response times.
• Data Overload: Managing and interpreting vast amounts of vehicle data without a structured approach hindered effective analysis.
• Compliance Concerns: Ensuring data privacy while processing and visualizing vehicle routes was a significant challenge.
• Latency Issues: Inconsistent event delivery times affected the reliability and timeliness of data insights.

Our Solution:

• Workbench Sensoris Application:
  • Developed a real-time data processing application to capture data from vehicles as it is generated.
  • Implemented business logic to process and forward this data to an API, ensuring efficient data handling.
• Data Visualization on Grafana:
  • Overview of Delivered Events: Tracks total events received, delivered, invalid, unexpected, and dropped.
  • Drive Statistics: Displays total distance travelled, processed distance, and time metrics (including anonymization duration).
  • Metrics on Data Volume: Monitors event latency, total data size forwarded, and the number of API calls made.
  • Overview of Received Events: Provides insights into various event types, including geographical data (latitude/longitude) and operational metrics (engine status).
  • Latency Report: Measures latency from event receipt to forwarding, ensuring timely data transmission.
  • Map Visualization: Visualizes vehicle routes with distinct colour codes for anonymized sections, enhancing clarity in data privacy compliance.

Embitel Impact:

• Improved Operational Visibility: Real-time insights into event statuses and drive statistics enhanced monitoring capabilities and operational efficiency.
• Optimized Drive Metrics: Detailed statistics on vehicle performance enabled stakeholders to analyse and improve operational strategies effectively.
• Monitored Data Latency and Volume: Tracking event latency and managing data volumes led to more reliable and timely data transmission, improving overall data integrity.
• Enhanced Route Tracking: Clear visualization of routes and anonymized sections facilitated compliance with data privacy standards, ensuring stakeholders were well-informed and compliant.

Tech Stack

• Azure EventHub
• PySpark
• Spark Streaming
• Data bricks
• Azure durable functions
• Azure API,
• Azure DevOps
• CICD