This project provides a real-time monitoring dashboard for a Radiacode gamma spectrometer. It processes live radiation data, stores it in a SQLite database, and serves an updated JSON payload for a web-based frontend.

Features

Real-time Monitoring: Displays live dose rate and count rate trends.
Energy Spectrum: Shows the accumulated gamma energy spectrum (keV).
24-Hour Spectrogram: A heatmap waterfall view of the radiation spectrum at 5-minute intervals over the last 24 hours.
Data Persistence: Uses SQLite to store historical radiation data.
Web Dashboard: A lightweight HTML/JavaScript frontend using Plotly for interactive charting.

File Structure

rc_read2.py: The main Python script that interfaces with the Radiacode device, processes data, and updates the database and web JSON.
frontend.htm: The web dashboard displaying the charts.
radiacode_data.db: SQLite database containing historical spectrum and rate data.
live_spectrum.json: Aggregated JSON data used by the frontend.

Setup and Usage

Prerequisites:
- A Radiacode device connected to the system.
- Python 3 with sqlite3 and the radiacode wrapper library installed.
Running the Monitor: Execute the Python script to start the data collection loop:
```
python rc_read2.py
```
Viewing the Dashboard: The dashboard is designed to be served via a web server (like Apache) that can access the live_spectrum.json file. Point your web server to the directory containing frontend.htm.

Data Processing

Intervals: The script polls for spectrum data every 5 minutes and performs a hardware reset to ensure clean window alignment.
Aggregation: The update_web_json function downsamples the last 24 hours of rate data and aggregates spectrum counts to keep the JSON payload size manageable for the web frontend.