Sensor Signal Monitoring System
This project is composed of two main components:
1. Microcontroller Firmware (Arduino)
Located in the firmware/ folder, this Arduino sketch handles:
- Sensor signal acquisition
- Optional filtering or preprocessing
- Sending data over serial (USB) to the host PC
2. Python HMI Application
Located in the hmi/ folder, this is a PyQt-based GUI that:
- Connects to the serial port
- Parses and displays sensor data in real time
- Optionally logs or processes the incoming data
Communication
The Arduino and the Python HMI communicate via a serial link (e.g., USB virtual COM port). Data is structured in a simple format such as CSV, JSON, or newline-delimited strings.
🔧 Leak Test HMI
A Python-based Human-Machine Interface (HMI) for monitoring and analyzing pressure data from an Arduino device via serial communication.
📌 Description
This application:
- Plots real-time pressure readings from an Arduino
- Allows setting test criteria (start/end pressure and time window)
- Performs leak test analysis
- Saves results, raw data, and screenshots
🖼️ Features
- Live Pressure Plotting using PyQt6 and pyqtgraph
- Automatic Arduino Detection (via USB serial)
- Setpoint Configuration (start/end thresholds)
- Test Window Cursors to select analysis interval (
dT) - Automated Analysis with pass/fail result based on drop rate
- Marker Sampling at regular time intervals
- Data Export (CSV summary + detailed data)
- Screenshot Capture upon analysis
🧪 UI Controls
| Control | Description |
|---|---|
| Setpoint Start [kPa] | Target pressure before leak |
| Setpoint End [kPa] | Minimum pressure after test |
| dT [sec] | Duration between cursors for analysis |
| Analyze | Executes analysis, saves data & screenshot |
| Stack No | Test or batch identifier |
| Comments | Notes saved with test |
| Sample Time [sec] | Frequency of vertical markers |
| Test Result | Displays PASS/FAIL with drop rate |
💾 Output Files
leak_test_summary.csv: Summary of test resultsleak_test_data_ST<stack>_YYYY-MM-DD_HH-MM-SS.csv: Marker-sampled pressure datascreenshot_<same_as_csv>.png: Screenshot of graph + UI
📦 Requirements
Install dependencies with:
pip install pyqt6 pyqtgraph pandas pyserial