NBCRV Sensor Suite Upgrade

Overview

As a contributor to MRIGlobal’s Intelligence, Surveillance, and Reconnaissance (ISR) software integration team, I played a key role in developing both the front-end and back-end components of the Nuclear Biological Chemical Reconnaissance Vehicle (NBCRV) sensor suite upgrade.

My primary contributions included architecting the real-time communication system using SignalR, building the user interface with Knockback.jsand D3.js, and working on the backend infrastructure with ASP.NET MVC and Entity Framework. I also contributed to database management and API development to ensure seamless sensor data integration.

This project was recognized by the Joint Program Executive Office for Chemical, Biological, Radiological, and Nuclear Defense (JPEO-CBRND) for its significant contributions to national defense.

My Contributions

• Real-Time Data Architecture: Designed and implemented a SignalR-based communication system for instant sensor data updates and event-driven interactions.
• Front-End Development: Built an interactive UI using Knockback.js (Backbone.js + Knockout.js) for smooth data binding and dynamic user interactions.
• Data Visualization: Developed real-time geospatial mapping and sensor data charts using D3.js to enhance situational awareness.
• Back-End Development: Contributed to API development and data processing using ASP.NET MVC and Entity Framework.
• Database Management: Assisted with SQL database optimization and data modeling to support large-scale sensor data storage and retrieval.
• System Performance Optimization: Tuned SignalR communication for low-latency updates and efficient sensor data streaming.

Technologies Used

• SignalR: Implemented real-time communication for instant sensor updates.
• Knockback.js: Used for front-end development, combining Knockout.js and Backbone.js for a responsive UI.
• D3.js: Created interactive data visualizations and real-time geospatial mapping.
• ASP.NET MVC: Developed the back-end architecture and API endpoints.
• Entity Framework: Managed database interactions and optimized data queries.
• SQL Server: Designed and optimized database schemas for large-scale sensor data storage.

Challenges & Solutions

• Handling Large Real-Time Data Streams: Optimized SignalR communication and fine-tuned SQL queries for fast data retrieval.
• Creating an Intuitive UI for Operators: Designed a Knockback.js-powered interface that simplified real-time data monitoring while maintaining responsiveness.
• Ensuring High-Performance Data Visualization: Used D3.js to create efficient, scalable charts and mapping elements for dynamic threat tracking.
• Maintaining a Scalable Backend: Leveraged ASP.NET MVC and Entity Framework to create a modular system capable of integrating future sensor upgrades.

Project Impact

• Enabled real-time sensor data streaming, reducing response times for threat detection.
• Provided a modular and scalable architecture for future sensor integrations.
• Enhanced operator situational awareness with intuitive UI and real-time mapping features.
• Recognized by JPEO-CBRND for advancing CBRN defense technology.

Learn More

For additional details, visit the official MRIGlobal announcement.