Russia has announced the development of its first life-cycle management system for unmanned aerial vehicles (UAVs), which leverages artificial intelligence technologies to predict potential malfunctions and optimize operational and maintenance efficiency.
اضافة اعلان
According to an announcement by Rostec, this digital platform is capable of simultaneously managing an aerial fleet composed of hundreds of drones, ranging from small multi-rotor quadcopters to heavy, high-cost fixed-wing systems.
The first batch of drones is currently being prepared to join this fleet, with their numbers expected to reach approximately 50 aircraft by 2026, at which point the platform will oversee their tracking, maintenance, and repair operations.
The platform generates a "digital passport" for each aircraft, compiling a comprehensive log of flights, malfunctions, repairs, and component replacements. Furthermore, the system analyzes faults while factoring in the component manufacturer, assembly quality, the specific model of the UAV utilized, and operational data tied to the operators.
The new system relies on automated scheduling for maintenance based on actual flight hours and regulatory requirements. Additionally, its predictive analytics module uses artificial intelligence to forecast potential component failures two to three weeks before they occur.
The platform also aggregates and analyzes data across the entire drone fleet, identifying the most reliable models and components while monitoring the parts and assemblies that are most susceptible to operational issues.
— (Source: Rossiyskaya Gazeta)
