Real-Time Sensor Analytics Dashboard

This repository contains a proof-of-concept implementation of a real-time sensor analytics platform consisting of:

• Backend: .NET 8 Web API that simulates 1,000 sensor readings per second, pushes real-time updates through SignalR, maintains a 24-hour retention policy, and exposes aggregated statistics.
• Frontend: Angular 17 dashboard that visualizes streaming data, displays aggregated metrics, and highlights anomaly alerts.

Project Structure

/README.md
/SensorAnalytics.sln
/src/SensorAnalytics.Api/        # ASP.NET Core API project
/sensor-dashboard/               # Angular SPA dashboard

Backend Overview (SensorAnalytics.Api)

• SensorSimulationService generates synthetic sensor data, detects anomalies, and broadcasts batches to connected clients through SignalR.
• SensorDataStore maintains an in-memory buffer sized to preserve the full 24-hour retention window based on the expected ingestion rate while tracking aggregate statistics.
• SensorHub (SignalR) and ReadingsController expose real-time streams and REST endpoints for statistics, recent readings, and alerts.

Running the API

cd src/SensorAnalytics.Api
dotnet restore
dotnet run

The API listens on http://localhost:5000 by default (adjust via ASPNETCORE_URLS).

Frontend Overview (sensor-dashboard)

• Connects to the SignalR hub for live batches and keeps a rolling chart of average sensor values per second.
• Displays aggregated statistics, a live alert feed, and a table of recent sensor readings.

Running the Dashboard

cd sensor-dashboard
npm install
npm start

By default the Angular dev server runs on http://localhost:4200 and proxies data directly from the API.

Notes

• Ensure the API is running before starting the dashboard to allow the SignalR connection to succeed.
• The system is tuned for proof-of-concept demonstrations and can be extended with persistent storage, authentication, and production-ready deployment tooling.