Interactive Graphs

• Multi-parameter time-series plotting
• Zoom, pan, and crosshair inspection
• Auto-scaling with manual override
• Color-coded parameter traces
• Real-time legend updates

Status Displays

• Large-format instant value displays with alarm states
• Circular gauges with threshold zones
• LED indicators with color-coded status
• Statistical histograms for distribution analysis

Data Tables & GPS

• Searchable log tables with highlighting
• Timestamped data entries
• Multi-parameter comparison
• GPS mapping with satellite imagery
• Real-time location tracking
• Interactive map controls

Advanced Features

• Crosshair cursor with value readout
• Mouse-click data point selection
• Widget floating and docking
• Multi-tab dashboard support
• Undo/Redo functionality for widget operations
• Standalone raw telemetry viewer

Available Filters

Kalman Filter

Optimal estimation for noisy signals with configurable process and measurement variance. Ideal for tracking applications and sensor fusion.

Moving Average Filter

Simple smoothing over configurable window size (2-100 samples). Effective for reducing random noise.

Low-Pass Filter

Exponential smoothing with adjustable alpha (0.01-1.0). Fast response with controllable lag.

Median Filter

Outlier rejection using median of N samples. Excellent for spike removal while preserving edges.

Filter Management

• Per-parameter filter chains
• Enable/disable filters without restart
• Real-time filter parameter adjustment
• Filter state reset capability
• Visual filter status indicators
• Import/export filter configurations

Processing Features

• Apply filters to any parameter
• Chain multiple filters per parameter
• Raw and filtered data logging
• Zero-lag display options
• Configurable buffer management

Serial Communication

• RS232, RS485, USB-Serial support
• Auto-detection of available ports
• Configurable baudrate (300-10M)
• Manual refresh of port list
• Timeout configuration

Network Protocols

• TCP client connections
• UDP listener mode
• Configurable host and port
• Connection status monitoring
• Automatic reconnection

Data Format Support

• JSON array parsing
• CSV delimited data
• Raw binary bytes
• Binary struct (with type definitions)
• Bit-level data extraction
• Custom format definitions
• Little/big endian support
• Configurable channel count (1-1024)

Simulation Mode

• Built-in dummy data generator
• No hardware required for testing
• Configurable sine wave patterns
• Random noise injection

Logging Features

• CSV and JSON format support
• Parameter-selective logging
• Configurable buffer sizes (10-1000)
• Auto-generated timestamped filenames
• Manual buffer flush controls
• Organized logs directory structure

Data Management

• Raw and filtered value storage
• Millisecond-precision timestamps
• Elapsed time tracking
• Incremental file writing
• Low memory footprint

Export Options

• Standard CSV for Excel/MATLAB
• JSON Lines format for programming
• Human-readable timestamps
• Parameter metadata inclusion
• Configurable write frequency

PDF Report Generation

• Automated summary reports from logged data
• Statistical analysis (min, max, average)
• Session metadata and duration
• Professional formatting with charts
• Generate via Ctrl+Shift+R or Data Logging → Generate Summary Report

Performance

• Buffered I/O for efficiency
• Configurable flush intervals
• Background writing
• No dropped packets during logging
• Minimal CPU overhead

Raw Telemetry Monitor

• Decimal, hexadecimal, ASCII, binary, and mixed display modes
• Real-time packet inspection
• Packet statistics (count, rate, bytes)
• Pause and resume capability
• Search and highlight functionality
• Screenshot capture
• Save to file

VS Code-like Status Bar

• Segmented layout for clear information hierarchy
• Live clock display
• Connection status with interactive button
• Packet count and data received metrics
• Active parameters and widget count
• UI update rate (FPS)
• Data logging indicator
• Quick access to Raw Telemetry viewer

Debug Tools

• Connection diagnostics
• Data format validation
• Parameter mapping verification
• Real-time packet rate monitoring
• Error message display
• Connection retry logic

Advanced Telemetry

• Multiple display format switching
• Packet numbering
• Timestamp display options
• Byte rate calculation
• Error counting
• Custom search filters

Modern Design

• Professional "Apple-like" dark theme
• High-contrast elements with SF Pro typography
• Custom styled widgets with glassmorphism effects
• Smooth animations and transitions
• Gradient accents and refined color palettes
• Responsive layout with segmented controls

Dashboard Management

• 4-phase creation wizard
• Professional Welcome Screen with system icons
• Setup wizard with validation
• Widget pre-configuration
• Live dashboard phase

Layout Control

• Drag-and-drop widget positioning
• Floating and docked modes
• Multi-tab support with rename
• Tile evenly function
• Right-click context menus
• Widget resize and minimize
• Customizable dashboard titles

Workflow

• Project save/load system
• Unsaved changes tracking
• Configuration validation
• Error prevention dialogs
• Comprehensive keyboard shortcut support
• Command pattern for undo/redo operations

Backend Core

• Threaded Acquisition: DataSimulator runs in a dedicated QThread, ensuring the UI remains responsive even at high data rates (100Hz+).
• Abstraction Layer: DataReader provides a unified interface for Serial, TCP, UDP, and Dummy sources, handling low-level socket/port management and error recovery with automatic reconnection.
• Binary Parsing: Uses Python's struct module for high-performance parsing of binary packets. Supports mixed data types (int8/16/32, uint8/16/32, float32/64) and binary struct definitions via parameter configuration.

Data Flow

1. Source: Hardware/Network sends data packet.
2. Acquisition: DataReader reads bytes/string.
3. Parsing: Data is converted to a normalized list[float].
4. Distribution: DataSimulator emits newData Qt Signal.
5. Processing: Main thread applies active filters (Kalman/MA).
6. Visualization: Widgets update via optimized paint events.

Data Logging Internals

• Buffered I/O: DataLogger accumulates data in memory (default 100 samples) before performing a bulk write to disk. This minimizes filesystem overhead and prevents write-latency from affecting the acquisition loop.
• Formats:
  • CSV: Optimized for import into Excel/MATLAB with timestamp and elapsed time columns.
  • JSON Lines: Stream-friendly format for programmatic analysis with ISO timestamp formatting.
• Report Generation: PDF reports generated using reportlab library, analyzing logged CSV/JSON data to produce statistical summaries and visualizations.

Signal Processing

• Filter Chain: Filters are implemented as independent objects inheriting from SignalFilter base class.
• State Management: Filters maintain their own internal state (buffers, covariance matrices) which persists across updates but can be reset dynamically.
• Real-time: All filtering occurs in the main event loop, designed for low-latency (<1ms) processing per packet.
• Filter Management: FilterManager handles per-parameter filter chains, enabling/disabling filters without restart, and serialization for project save/load.

First-Time Users

1. Click "Create New Dashboard"
2. Follow the 4-phase wizard:
   • Setup: Configure connection
   • Parameters: Define data channels
   • Widgets: Pre-configure displays
   • Dashboard: Live monitoring

Returning Users

1. Click "Load Project..."
2. Select your .json configuration
3. Dashboard loads with:
   • Previous layout
   • Connection settings
   • Filter configurations
   • Logging preferences

Connection Mode: dummy
Data Format: json_array
Channel Count: 32

No hardware required

Connection Mode: serial
Serial Port: COM4 (auto-detected)
Baudrate: 115200
Data Format: json_array
Channel Count: 32

Use Refresh button to update port list

Connection Mode: tcp (or udp)
Host: 192.168.1.100
Port: 9000
Data Format: json_array
Channel Count: 32

Verify firewall settings