Health Management System for Quadcopters

Product Overview

The Invoblaze Health Management System (HMS) for Quadcopters represents a revolutionary approach to UAV fleet management and operational reliability. This system combines advanced sensors, real-time analytics, and predictive maintenance to maximize mission success and operational safety.

Key Features

• Real-Time System Monitoring: Tracks propulsion, battery, structure, and control in real time using advanced sensor fusion.
• Predictive Maintenance Analytics: Machine learning models predict component failures before they occur.
• Comprehensive Data Logging: Secure storage of detailed flight and system logs for diagnostics and compliance.
• Intuitive User Interface: Dashboard with alerts, color-coded indicators, and drill-down diagnostics.
• Fleet Management Capabilities: Fleet-wide analytics, maintenance forecasting, and resource optimization.

Technical Specifications

Central Processing Unit

• Quad-core ARM Cortex-A72, 2.0 GHz
• 4GB LPDDR4 RAM, 64GB eMMC storage
• Operating Temp: -40°C to +85°C
• Power: 4.5W typical, 7W max

Sensor Array

• 3-axis Accelerometer (±16g), Gyroscope (±2000°/s), Magnetometer (±4900μT)
• Barometer, temperature, piezoelectric vibration sensors
• Voltage/Current: 0.1% accuracy, 20kHz sampling

Communication Interfaces

• CAN Bus (dual), RS-422/485, Ethernet
• Wi-Fi (802.11ac), Bluetooth 5.0, optional LTE
• USB 3.0 host/device

Physical Specs

• 120mm × 80mm × 25mm, 185g
• MIL-DTL-38999 connectors, vibration-isolated mount
• IP67, MIL-STD-810G compliant

Software Features

Operating System

• Real-time Linux with secure boot, encrypted storage
• Failover redundancy and OTA updates with rollback

Analytics Engine

• Real-time anomaly detection
• Predictive maintenance via ML algorithms
• Custom alert rules and historical analysis tools

User Interface

• Web dashboard with role-based access control
• Interactive visualizations, templates, and reports
• Exports to CSV, JSON, PDF

Integration Capabilities

• REST API, MQTT, third-party system compatibility
• Integration with fleet management systems

Performance Metrics

Reliability

• MTBF: >50,000 hours
• System Availability: >99.9%
• Data Retention: Up to 1,000 flight hours
• Internal UPS for graceful shutdown

Predictive Capabilities

• >85% failure prediction accuracy
• <5% false positive rate
• 30–40% reduction in unscheduled maintenance

Operational Impact

• 65–75% mission abort reduction
• 25–35% reduction in maintenance cost
• 15–20% increase in vehicle lifespan
• 20–30% improvement in fleet availability

Implementation and Integration

Installation Process

The HMS can be installed in 4–6 hours per quadcopter using standard mounting solutions. Our team provides full documentation and support.

Calibration and Configuration

Automated calibration aligns sensors and characterizes system behavior. Customizable settings adapt to mission requirements without coding.

Training and Support

• Hands-on training for operators and technicians
• Data interpretation, maintenance, and diagnostics
• 24/7 support and regular software updates

Applications

• Military: Mission-ready UAVs, reduced in-field failures, post-mission data for strategic planning
• Law Enforcement: Reliable deployment, compliance-friendly data logging, improved asset utilization
• Commercial: Reduced downtime, increased ROI for services like inspection, agriculture, and delivery

Case Studies

• Military Reconnaissance Fleet: 78% reduction in failures, 32% availability boost
• Urban Law Enforcement: 68% drop in maintenance events, 22% vehicle life extension
• Commercial Inspection: 35% cost savings, 28% uptime increase

Ordering Information

The Invoblaze HMS is available in multiple configurations. For guidance or to request a demo, contact us at sales@invoblaze.com or call 0320-0810266.