# Dreame D20 Pro Plus Integration Specification
## Overview
This document specifies the integration of the **Dreame D20 Pro Plus** robot vacuum (model: `dreame.vacuum.r2246`) into the Robotics MCP server and web UI.
## Hardware Specifications
### Dreame D20 Pro Plus (S10 Plus)
- **Model ID**: `dreame.vacuum.r2246`
- **Navigation**: Advanced LiDAR with 360° scanning
- **Battery**: 5200mAh Li-ion (up to 260 minutes runtime)
- **Suction Power**: Up to 4000 Pa (4 suction levels)
- **Dust Bin**: 400ml with auto-empty base station
- **Mopping**: 250ml water tank with adjustable humidity
- **Mapping**: Multi-floor mapping with room segmentation
- **Connectivity**: WiFi 2.4/5GHz, MQTT, Mi Home app
- **Dimensions**: 350mm × 350mm × 97mm
- **Weight**: 3.7kg
## Software Capabilities
### Core Features
- **LiDAR Navigation**: Precise room mapping and obstacle avoidance
- **Room Segmentation**: Automatic room detection and naming
- **Zone Cleaning**: Clean specific rectangular areas
- **Spot Cleaning**: Intensive cleaning of specific spots
- **Scheduled Cleaning**: Time-based automation
- **Auto-Empty Station**: Automatic dust bin emptying
- **Self-Cleaning**: Automatic mop cleaning and drying
- **AI Obstacle Detection**: Smart obstacle recognition and avoidance
- **Multi-Floor Mapping**: Support for multiple floor plans
- **Remote Control**: Manual movement via app or API
### Advanced Features
- **Custom Cleaning Sequences**: Define cleaning order for rooms
- **No-Go Zones**: Virtual walls and restricted areas
- **Carpet Recognition**: Automatic suction adjustment on carpets
- **Mop Lifting**: Avoid carpets when mopping
- **Stain Avoidance**: Detect and intensify cleaning on stains
- **Voice Control**: Integration with smart assistants
- **OTA Updates**: Firmware updates over-the-air
## API Integration
### Required Dependencies
```toml
# Add to pyproject.toml dependencies
"dreame-vacuum>=1.0.7",
"python-miio>=0.5.12",
"pillow>=10.0.0",
"numpy>=1.24.0",
"pybase64>=1.0.0",
"requests>=2.31.0",
"pycryptodome>=3.18.0",
"mini-racer>=0.6.0",
"paho-mqtt>=1.6.0"
```
### Authentication Methods
1. **Mi Home Cloud** (Recommended)
- Username/Password authentication
- Country-specific servers
- Device discovery via cloud
2. **Local Direct Connection**
- IP address + token
- Requires device on same subnet
- No cloud dependency
### Configuration Schema
```yaml
# config/robots/dreame_d20_pro_plus.yaml
robot_id: "dreame_d20_pro_plus_01"
robot_type: "dreame"
model: "d20_pro_plus"
connection:
method: "cloud" # or "local"
# Cloud method
username: "your_mi_home_email"
password: "your_mi_home_password"
country: "DE" # ISO country code
# Local method
ip_address: "192.168.1.100"
token: "your_device_token"
map:
multi_floor: true
color_scheme: "default"
icon_set: "default"
features:
auto_empty: true
self_clean: true
ai_detection: true
voice_control: false
```
## MCP Tool Integration
### Enhanced Robot Control Actions
Add to `robot_control.py`:
```python
# Dreame D20 Pro Plus specific actions
"start_auto_empty": Start dust bin auto-emptying
"stop_auto_empty": Stop dust bin auto-emptying
"start_self_clean": Start mop self-cleaning
"stop_self_clean": Stop mop self-cleaning
"set_suction_level": Set suction power (1-4)
"set_water_volume": Set mopping water volume (1-3)
"set_mop_humidity": Set mop pad humidity (1-3)
"clean_zone": Clean specific rectangular zones
"clean_spot": Intensive spot cleaning
"start_mapping": Start new map creation
"rename_room": Rename detected rooms
"set_cleaning_sequence": Set room cleaning order
"set_restricted_zones": Create virtual walls/zones
"get_cleaning_history": Retrieve cleaning history
"clear_error": Clear error conditions
```
### Enhanced Robot Behavior Categories
Add to `robot_behavior.py`:
```python
# Dreame-specific behavior categories
"vacuuming": Vacuum-specific actions and settings
"mopping": Mopping-specific controls and settings
"mapping": Map creation and management
"maintenance": Auto-empty and self-cleaning
"zoning": Zone and room management
"ai_features": AI obstacle detection and smart features
```
## Web UI Integration
### Control Panel Enhancements
#### Vacuum Controls Section
```html
<section class="vacuum-controls">
<h2>🧹 Vacuum Controls</h2>
<div class="control-grid">
<div class="suction-control">
<label>Suction Level:</label>
<select id="suction-level">
<option value="1">Quiet (800 Pa)</option>
<option value="2">Standard (1500 Pa)</option>
<option value="3">Strong (2200 Pa)</option>
<option value="4">Max (4000 Pa)</option>
</select>
</div>
<div class="cleaning-mode">
<label>Cleaning Mode:</label>
<select id="cleaning-mode">
<option value="1">Vacuum Only</option>
<option value="2">Vacuum + Mop</option>
<option value="3">Mop Only</option>
</select>
</div>
</div>
</section>
```
#### Mopping Controls Section
```html
<section class="mopping-controls">
<h2>🧽 Mopping Controls</h2>
<div class="control-grid">
<div class="water-volume">
<label>Water Volume:</label>
<input type="range" id="water-volume" min="1" max="3" value="2">
<span id="water-value">Medium</span>
</div>
<div class="mop-humidity">
<label>Mop Humidity:</label>
<input type="range" id="mop-humidity" min="1" max="3" value="2">
<span id="humidity-value">Medium</span>
</div>
</div>
</section>
```
#### Map Visualization
```html
<section class="map-visualization">
<h2>🗺️ Live Map</h2>
<div class="map-container">
<img id="map-image" src="" alt="Robot Map">
<div class="map-overlay">
<div id="robot-position" class="robot-marker">🤖</div>
<div id="rooms" class="rooms-layer"></div>
<div id="restricted-zones" class="zones-layer"></div>
</div>
</div>
<div class="map-controls">
<button id="refresh-map">🔄 Refresh Map</button>
<button id="edit-zones">🚫 Edit Zones</button>
<button id="rename-rooms">🏷️ Rename Rooms</button>
</div>
</section>
```
#### Maintenance Controls
```html
<section class="maintenance-controls">
<h2>🔧 Maintenance</h2>
<div class="maintenance-grid">
<div class="auto-empty">
<button id="start-auto-empty" class="action-btn">🗑️ Empty Bin</button>
<span id="auto-empty-status">Ready</span>
</div>
<div class="self-clean">
<button id="start-self-clean" class="action-btn">🧽 Clean Mop</button>
<span id="self-clean-status">Ready</span>
</div>
</div>
</section>
```
### Status Display Enhancements
```html
<div class="status-grid">
<!-- Existing status items -->
<div class="status-item">
<span class="label">Battery:</span>
<span id="robot-battery">-</span>
</div>
<div class="status-item">
<span class="label">Dust Bin:</span>
<span id="dust-bin-level">-</span>
</div>
<div class="status-item">
<span class="label">Water Tank:</span>
<span id="water-tank-level">-</span>
</div>
<div class="status-item">
<span class="label">Filter:</span>
<span id="filter-life">-</span>
</div>
<div class="status-item">
<span class="label">Brush:</span>
<span id="brush-life">-</span>
</div>
<div class="status-item">
<span class="label">Sensor:</span>
<span id="sensor-life">-</span>
</div>
</div>
```
## Implementation Plan
### Phase 1: Core Integration
1. Add dreame-vacuum package to dependencies
2. Update DreameClient with D20 Pro Plus specific methods
3. Implement authentication and connection handling
4. Add basic control actions (start/stop/pause/move)
### Phase 2: Advanced Features
1. Implement mapping and room segmentation
2. Add zone cleaning and spot cleaning
3. Integrate auto-empty and self-cleaning
4. Add suction level and water volume controls
### Phase 3: AI Features
1. Implement AI obstacle detection
2. Add stain avoidance and carpet recognition
3. Integrate voice control capabilities
4. Add cleaning history and analytics
### Phase 4: UI/UX Enhancement
1. Update web UI with vacuum-specific controls
2. Implement live map visualization
3. Add maintenance scheduling
4. Create zone editing interface
### Phase 5: Testing & Documentation
1. Comprehensive testing with physical hardware
2. Create user documentation and tutorials
3. Add troubleshooting guides
4. Performance optimization and monitoring
## Configuration Examples
### Cloud Connection (Recommended)
```yaml
# robots/dreame_d20_pro_plus.yaml
robot_id: "dreame_d20_pro_plus"
robot_type: "dreame"
model: "d20_pro_plus"
connection:
method: "cloud"
username: "user@example.com"
password: "secure_password"
country: "DE"
features:
auto_empty: true
self_clean: true
ai_detection: true
multi_floor: true
```
### Local Connection
```yaml
# robots/dreame_d20_pro_plus_local.yaml
robot_id: "dreame_d20_pro_plus"
robot_type: "dreame"
model: "d20_pro_plus"
connection:
method: "local"
ip_address: "192.168.1.100"
token: "1234567890abcdef..."
features:
auto_empty: true
self_clean: true
```
## Error Handling
### Connection Issues
- **Cloud Authentication Failed**: Check Mi Home credentials
- **Device Not Found**: Verify robot is powered on and connected to WiFi
- **Network Timeout**: Check network connectivity and firewall settings
### Hardware Issues
- **Low Battery**: Robot returns to dock automatically
- **Full Dust Bin**: Auto-empty station required or manual emptying
- **Clogged Filter**: Clean or replace filter
- **Brush Jam**: Check and clean brush rollers
### Software Issues
- **Map Data Corrupted**: Reset and recreate map
- **Room Segmentation Failed**: Manually adjust room boundaries
- **AI Detection Errors**: Disable AI features temporarily
## Performance Considerations
### Resource Usage
- **Memory**: ~50MB additional for map data
- **Network**: MQTT connection for real-time updates
- **Storage**: Map data and cleaning history storage
### Optimization Strategies
- **Map Caching**: Cache map data locally to reduce API calls
- **Batch Updates**: Batch status updates to reduce network traffic
- **Lazy Loading**: Load advanced features only when needed
- **Connection Pooling**: Reuse connections for efficiency
## Security Considerations
### Authentication
- Store credentials securely (environment variables or keyring)
- Use OAuth2 flow for cloud authentication when available
- Implement token refresh for long-running sessions
### Network Security
- Validate SSL certificates for cloud connections
- Use VPN for remote access when possible
- Implement rate limiting to prevent API abuse
### Data Privacy
- Map data contains floor plan layouts
- Cleaning history may reveal usage patterns
- Implement data encryption for sensitive information
## Testing Strategy
### Unit Tests
- Mock Dreame API responses
- Test connection and authentication logic
- Verify command execution and error handling
### Integration Tests
- Test with actual Dreame D20 Pro Plus hardware
- Verify map data accuracy and room segmentation
- Test auto-empty and self-cleaning functionality
### Performance Tests
- Measure response times for various operations
- Test concurrent operations and resource usage
- Verify memory usage with large maps
### User Acceptance Tests
- End-to-end cleaning workflows
- Map visualization and zone editing
- Mobile app integration and remote control
## Documentation Requirements
### User Documentation
- Hardware setup and initial configuration
- Basic operation and control instructions
- Advanced features (zoning, scheduling, AI)
- Troubleshooting guide and common issues
### API Documentation
- MCP tool specifications and parameters
- Web UI API endpoints and responses
- Configuration schema and options
### Developer Documentation
- Integration patterns and best practices
- Extension points for custom features
- Testing guidelines and mock implementations
## Future Enhancements
### Planned Features
- **Voice Integration**: Amazon Alexa, Google Assistant support
- **Camera Integration**: Live video feed from robot
- **Advanced AI**: Learning cleaning preferences and optimization
- **Multi-Robot Coordination**: Coordinate multiple Dreame robots
- **Energy Optimization**: Smart scheduling based on electricity pricing
- **Maintenance Prediction**: Predictive maintenance based on usage patterns
### Integration Opportunities
- **Home Assistant**: Enhanced integration with existing HA setup
- **Smart Home Hubs**: Integration with Apple Home, Google Home
- **Energy Management**: Integration with smart electricity meters
- **Weather Integration**: Adjust cleaning based on weather conditions
## Conclusion
The Dreame D20 Pro Plus represents a significant upgrade in robot vacuum capabilities with advanced LiDAR navigation, AI features, and comprehensive cleaning options. This integration will provide users with professional-grade robotic cleaning control through the Robotics MCP interface, combining the power of modern robotics with intuitive AI-driven operation.
The phased implementation approach ensures a solid foundation with room for advanced features, making this integration both immediately useful and future-proof.
