SMART Architectures for Lunar Bases

Technologies & Skills
MATLAB Python Physics-Informed Neural Networks Docker Swarm Raspberry Pi Sensor Networks Autonomous Systems Fire Detection AI Task Planning Finite State Machine Controller Real-time Monitoring Distributed Computing Unreal Engine CAD

SMART Fire Fighting Architecture

Lunar Base Operations

SMART Fire Fighting Architecture Overview

Fire Detection Simulation

3D Fire Fighting in Pressurized Module

Smart Sensor Network Components

Lunar Habitat Module with Smart Sensors

Lunar Habitat Module with Smart Sensors

Smart Sensor Unit and Internal Robot Components

Smart Sensor Unit & Internal Robot

This comprehensive project integrates SMART (Scalable Mobile Autonomous Robotic Tech) Architecture for lunar bases, combining distributed sensor networks with autonomous fire detection and response systems. Using Physics Informed Artificial Neural Networks and intelligent sensor placement strategies, the system enables real-time decision-making and autonomous operations in extreme space environments, including emergency fire situations inside pressurized modules.

  • Designed distributed computing architectures (Tile Computing Network) for sensor networks with hyper redundancy using docker swarm and raspberry pi
  • Developed smart sensor nodes with local processing, collaborative decision-making, and autonomous response capabilities
  • Implemented redundant network topologies ensuring system reliability and fault tolerance
  • Created fire detection and response systems using sensor networks and autonomous robots for pressurized module safety
  • Developed AI models for fire profile prediction, robot task assignment, and fire fighting forecasting
  • Implemented physics-informed models for real-time environmental monitoring, hazard detection, and sensor data fusion
  • Optimized power efficiency and communication protocols for resource-constrained space systems
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